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      "Independent artifact grading instead of GeoBenchX tool-trace matching.",
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      "Snowfall coverage is explicitly qualified; unknown cells are not zero snowfall.",
      "Country identity uses verified source codes; the released name-only reference misses four African names.",
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      "Algeria population density uses the supplied 2020 density grid and containing-pixel sampling; unknown cells are reported separately.",
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      "Amtrak protocol clarification v2: define unknown_count separately from stations outside supplied county coverage. The initial expansion attempt did not define this extra reporting field precisely; its original outcome remains preserved.",
      "This is a capability-selected engineering expansion. Every attempt and post-fix verification is disclosed separately.",
      "Parallel engineering expansion: original questions retained, exact editions and missing-value conventions disclosed before execution.",
      "Numeric-answer tasks additionally require an inspectable contributing-feature artifact and a final JSON object; this is an evaluation adaptation, not the original benchmark's tool-trace grader.",
      "Comparisons use unweighted country means, the supplied country classification, and explicit years; no population-weighted substitution or current live data.",
      "Country-map family: frozen year/indicator, exact ISO_A3 join, complete unknown coverage, five quantile classes and inspectable map binding; independently verified values and legend.",
      "Contour family: disclosed levels and original-grid marching-square geometry; verified complete isolines and actual map/overlay bindings.",
      "Bivariate family: frozen years, exact joins and paired three-quantile joint classification; numerical values and actual legend independently verified.",
      "Country-change selections: explicitly frozen multi-year definitions and strict thresholds, exact source IDs and unknown-location accounting.",
      "Heatmap family: fixed 25 km equal-area EPSG:6933 cells, 150 km three-sigma Gaussian radius, declared count or numeric weights; metric raster adaptation replaces screen-pixel heatmaps and is exhaustively checked against independent binning/convolution.",
      "Map series: independently checked years, full original feature coverage, per-year classifications and distinct authoritative map bindings; no single-panel substitution.",
      "County public-health maps: frozen public county aggregates, exact state-qualified joins, disclosed quantitative map or geometric-centroid heatmap; no individual patient locations inferred.",
      "Population-density shares: derive density from original count rasters and ellipsoidal cell areas, retain original grid/masks and independently verify every output cell and final total. These capability cases extend archived refusal references, not claim matching those refusals."
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    "artifacts": null,
    "methodology": null
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    "Different tools, budgets and independent artifact grading prevent direct comparison with published GeoBenchX scores.",
    "Setup-blocked and infrastructure-unmeasured questions remain visible in coverage, outside valid-measurement accuracy.",
    "Bulk input and output datasets remain private; full reconstruction requires the documented source prerequisites.",
    "Dollar costs are unavailable. Qualitative judgments use AI-assisted operator review and are not blinded or an external audit."
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      "title": "Create a heatmap showing railway station density in areas with high snow accumulation in the USA",
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      "title": "Map drought severity indices for agricultural regions in Southern Africa?",
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      "title": "Chart contour lines for accumulated snow fall in winter 2023-2024 in USA",
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      "title": "Identify regions in Brazil where railway density correlates with population density",
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      "title": "Generate contour lines of snow accumulation near major US lakes",
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      "title": "Calculate urban sprawl rates for Chinese cities between 2015-2020?",
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      "title": "Generate contour lines of population density in Angola's northern regions",
      "family": "qualitative-control",
      "cohort": "limitation-control",
      "outcome": "pass",
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      "title": "Create a heatmap showing population density in Chile's coastal areas.",
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      "outcome": "pass",
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      "title": "Lakes near observed deep-snow areas",
      "family": "water-feature-selection",
      "cohort": "computational",
      "outcome": "pass",
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      "title": "US towns near both lakes and rivers",
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    {
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      "version": "GeoBenchX harmonized names",
      "sha256": "d2eba1307030ec9521b10481373aaf1bb69d0609d4d88acac074d634d97af9ad",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank Official Boundaries; country-name harmonization by GeoBenchX.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "World Bank SP.POP.TOTL",
      "version": "Frozen GeoBenchX World Development Indicators; use 2023",
      "sha256": "88594296e94fe36d2810fac2feb2672aa3b7fc3985d9617914ddbf11d4157626",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators SP.POP.TOTL; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Amtrak railway stations",
      "version": "USDOT BTS frozen GeoBenchX 2025 snapshot",
      "sha256": "1707883d56cf62e398dd20c736761ead05287fc48d30717a620032ff5f6eed8d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Amtrak / USDOT Bureau of Transportation Statistics. Amtrak Stations, frozen GeoBenchX snapshot.",
      "license": "CC0-1.0"
    },
    {
      "name": "US snowfall, 2024–25 frozen season",
      "version": "2024-09-30 to 2025-05-20",
      "sha256": "8b418f3c402abb1737aa9bca44d5030dd946ee6587df13726b4f45bb23371a5d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "NOAA/NWS NOHRSC seasonal snowfall, 2024-09-30 to 2025-05-20; NoData recoded by GeoBenchX.",
      "license": "public-domain"
    },
    {
      "name": "US snowfall, 2023–24 frozen season",
      "version": "2023-09-30 to 2024-09-30",
      "sha256": "2d96b3a969d53fdfe4b53753ea5f8e1005bc55d9054d4a1cc7ffff4b7bd04fef",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "NOAA/NWS NOHRSC seasonal snowfall, 2023-09-30 to 2024-09-30; original GeoBenchX bytes, NoData recoded by benchmark producer.",
      "license": "public-domain"
    },
    {
      "name": "North American lakes, CEC 2023 frozen benchmark source",
      "version": "CEC North American Environmental Atlas version 4.0 (2023), original benchmark snapshot; benchmark-only use",
      "sha256": "acdb56a19ddd4d7aafdd839def6379dbdeec2eb62e4c6c8859cb2b7fa2c6ad97",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Commission for Environmental Cooperation, North American Environmental Atlas Lakes and Rivers, 2023, version 4.0. NRCan, INEGI, CONAGUA, USGS.",
      "license": "Original CEC notices retained; conflicting metadata not relicensed"
    },
    {
      "name": "African mineral extraction facilities",
      "version": "USGS 2021 benchmark snapshot",
      "sha256": "a5818522a2c966354fb044df972b1793a62ae6d4de4955ff7948a953555fae94",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "USGS, Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Africa, DOI 10.5066/P97EQWXP.",
      "license": "public-domain"
    },
    {
      "name": "Net migration, World Development Indicators",
      "version": "2024-11-13 snapshot; use 2023",
      "sha256": "f80ac51aa813bae2e14b0dcab21097697cf7d936ccd9ed0ce7d74bf56191c5f7",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators, SM.POP.NETM, archived 2024-11-13; original source retained in embedded indicator metadata.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Earthquake points, frozen 30-day snapshot",
      "version": "Archive labelled Feb142025; observed event timestamps 2025-01-16 through 2025-02-15 UTC",
      "sha256": "d65a70744c33156a86486daa0121936bb3cbaa710a6cee0ebeb1c5d343efaed0",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "USGS Earthquake Hazards Program. Frozen GeoBenchX 30-day earthquake snapshot labelled Feb142025.",
      "license": "public-domain"
    },
    {
      "name": "US cities and towns, 2014",
      "version": "2014; pop_2010 is 2010 population",
      "sha256": "160ee5bf8bbbfa0ae6db92d81dc1e5a0c2f19948ac6f457cc535066b83890c56",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "National Atlas of the United States. Cities and Towns of the United States, 2014, edition 2.",
      "license": "public-domain"
    },
    {
      "name": "North American rivers, CEC 2023 frozen benchmark source",
      "version": "CEC North American Environmental Atlas version 4.0 (2023), original benchmark snapshot; benchmark-only use",
      "sha256": "375bd3d22950804c0b7dc826ff2b639689078659d3caf84d0ac46f7b3ec34e8a",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Commission for Environmental Cooperation, North American Environmental Atlas Lakes and Rivers, 2023, version 4.0. NRCan, INEGI, CONAGUA, USGS.",
      "license": "Original CEC notices retained; conflicting metadata not relicensed"
    },
    {
      "name": "World Bank ER.H2O.FWTL.K3",
      "version": "Frozen GeoBenchX World Development Indicators; use 2021",
      "sha256": "59dc8930c3d22c86063ce406aa166847b4233fee91708aad1ba292db4d831ef7",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators ER.H2O.FWTL.K3; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "World Bank NV.AGR.TOTL.ZS",
      "version": "Frozen GeoBenchX World Development Indicators; use 2023",
      "sha256": "aa597fd214172be60b0f51ef409b5e8ff1774fbf22b7586497812e066e778f4a",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators NV.AGR.TOTL.ZS; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Peru population count, WorldPop 2018",
      "version": "2018 UN-adjusted population counts, aggregated to 1 km cells",
      "sha256": "3f085a13c7ef83d72672d9909812145fe34fd4f53c653989524e50c92e20e37c",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN. Peru population counts 2018, UN adjusted, 1 km. DOI 10.5258/SOTON/WP00671.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Bangladesh population density, WorldPop 2018",
      "version": "2018 UN-adjusted 1 km density; exact bytes verified against WorldPop product 45189, DOI WP00675",
      "sha256": "c7eede1eb6bbf27e203de10c49c01155c1841a2011079e4c47fef332dfc167a4",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN 2018. DOI 10.5258/SOTON/WP00675.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Bangladesh railway lines, frozen OpenStreetMap extract",
      "version": "GeoBenchX Geofabrik Bangladesh extract, 2025-02-01; ODbL attribution required",
      "sha256": "10f0d0c115b4ad683ff121da002f5beb4a29833e13165d2e0e7e14ab2df6d1a7",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "© OpenStreetMap contributors; Geofabrik Bangladesh extract, 2025-02-01.",
      "license": "ODbL-1.0"
    },
    {
      "name": "World Bank SL.TLF.TOTL.IN",
      "version": "Frozen GeoBenchX World Development Indicators; use 2023",
      "sha256": "9ef01befe196b704ed8fb739b12807e2c3e489559fcb2acfd51a068aab87ccb7",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators SL.TLF.TOTL.IN; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Electric power consumption per capita",
      "version": "Frozen WDI; use 2014",
      "sha256": "35c5d7efcc03e05918af7f00fd37d7ac6235980c9f43ad3513579270318cfd0d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank WDI EG.USE.ELEC.KH.PC; International Energy Agency; frozen archive, 2014 values.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "GDP per capita",
      "version": "Frozen WDI; current US dollars by year",
      "sha256": "18ce25b448f6b5a314e9d5dd91cefdbd54b1703becb9c687208c7c02acfa1d18",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank WDI NY.GDP.PCAP.CD; national accounts sources; frozen archive.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "US county boundaries",
      "version": "Census TIGER/Line 2024",
      "sha256": "587f3dd3f8be86a8db7fe808d71205a207f00cdb77d9a4327464f17a5a23d880",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "U.S. Census Bureau. TIGER/Line 2024 county boundaries.",
      "license": "public-domain"
    },
    {
      "name": "New York county tuberculosis cases and rates, 2019–2023",
      "version": "NYSDOH 2024 report, frozen GeoBenchX transcription; use 2023 counts",
      "sha256": "06be6e8be91618a9c861ee74913e275fc69a9209692592c4839940442d9ae3f5",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "New York State Department of Health, Tuberculosis Cases and Rates by County 2019–2023, published 2024, reviewed 2026-10-06; frozen GeoBenchX transcription.",
      "license": "NYSDOH data-use permission with attribution and unchanged source"
    },
    {
      "name": "World Bank SP.RUR.TOTL",
      "version": "Frozen GeoBenchX World Development Indicators; use 2023",
      "sha256": "e0e43ea828288c75af3a1081c9150d052e7327b4e99efde1fb6bfa0ab57c22b7",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators SP.RUR.TOTL; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Angola population count, WorldPop 2020",
      "version": "2020 UN-adjusted population aggregated to 1 km cells",
      "sha256": "531e52fbe896889a591ddec9b422ec59e2fa42e543037d3568f557016c4a0d7d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN. Angola population counts 2020, UN adjusted, 1 km. DOI 10.5258/SOTON/WP00671.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "African power stations",
      "version": "USGS 2021 frozen compilation",
      "sha256": "6466e315e8ff63739ef14b89300a4ecb739e3753d503760233466dcc207a1a51",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "USGS, Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Africa, DOI 10.5066/P97EQWXP; embedded source credits retained.",
      "license": "public-domain"
    },
    {
      "name": "World Bank AG.LND.FRST.ZS",
      "version": "Frozen GeoBenchX World Development Indicators; use 2021",
      "sha256": "595b2997fe9ecdcc9b70e118f3b95cdbda921aaa7c0a0e079a3d499eae72c2c5",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators AG.LND.FRST.ZS; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "North American Rail Network Lines, frozen GeoBenchX snapshot",
      "version": "Original pinned GeoBenchX NARN/FRA/BTS snapshot, not a live network",
      "sha256": "55424fbafc274a23b172e4f5b8ae4f1ccc9415ad660df6f6ae3b1ab98feaa8a8",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Federal Railroad Administration and Bureau of Transportation Statistics, North American Rail Network. Original pinned GeoBenchX snapshot, unchanged geometry and attributes.",
      "license": "US public domain"
    },
    {
      "name": "Frozen US fire incident locations and recorded sizes",
      "version": "Frozen GeoBenchX archive; not a current active-fire feed",
      "sha256": "b46d825aabcf5e21e30dd200304cc2c1a414f297925db3fe11b5389a3c0e4177",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "NIFC/WFIGS, US DOI Office of Wildland Fire IRWIN and participating agencies. Frozen GeoBenchX incident snapshot, latest record update 2024-02-27, not current live observations.",
      "license": "Public federal interagency data; source usage disclaimer retained"
    },
    {
      "name": "USA population count, WorldPop 2020",
      "version": "2020 UN-adjusted population counts aggregated to 1 km cells",
      "sha256": "0b75ab7c839bfa81439fafa204f0fba930f15467993c574694be98831fcafb94",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN. USA population counts 2020, UN adjusted, 1 km. DOI 10.5258/SOTON/WP00671.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Algeria population density, WorldPop 2020",
      "version": "2020 UN-adjusted; 1 km grid",
      "sha256": "96b6621e69226f5b52ed62b3cdc8365b78f82a53608d3132ee491bcf3c205454",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN. Algeria population density 2020, UN adjusted, 1 km. DOI 10.5258/SOTON/WP00675.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "World Bank AG.LND.FRST.K2",
      "version": "Frozen GeoBenchX World Development Indicators; use 2021",
      "sha256": "db279c795b5f549e2b45ab57600a4e860bc75be5f60be3230215bf964062c6ba",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators AG.LND.FRST.K2; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "FAO AQUAmaps South American river segments",
      "version": "Frozen regional HydroSHEDS-derived rivers_samerica_37330; internal research only, no promotional sharing",
      "sha256": "0ed97842d2ffe36f603e38a57943d65c6bb31e4e83d3e2c4cf7df178f5ef28aa",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "FAO AQUAmaps, regional rivers_samerica_37330 derived from WWF HydroSHEDS. Lehner, Verdin and Jarvis (2008). Original GeoBenchX edition retained.",
      "license": "FAO research reuse / CC-BY-4.0 default plus HydroSHEDS data licence; local non-promotional evaluation only"
    },
    {
      "name": "GFD observed flood 4569, 2018-02-01 to 2018-02-21",
      "version": "Original five-band GFD v1 benchmark snapshot, not a current flood map; benchmark-only use",
      "sha256": "0dfbd5939e217d5d5a4196aa8154aacb3d438e0648a48a2f33bd196428540645",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Global Flood Database v1 (Tellman et al., 2021), MODIS observations, Cloud to Street. Original GeoBenchX archive.",
      "license": "Original GFD/Cloud to Street notices retained; benchmark-only use directed by user"
    },
    {
      "name": "Freshwater withdrawals as percent of internal resources",
      "version": "Frozen World Development Indicators; use 2021",
      "sha256": "7ad1675e724eea5166e37131840bb0a2d10ef1cf25313023ecaf542043641662",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank WDI ER.H2O.FWTL.ZS; FAO AQUASTAT; frozen archive, 2021 values.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "African railways, USGS 2021 compiled network",
      "version": "Original frozen GeoBenchX USGS 2021 compilation, not current routing data",
      "sha256": "dbf290a8bb44ae1d19e5a788dfc794029f9c6ca9359dd6c79b04c9595b8eaef3",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Padilla et al., 2021, Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Africa, USGS, doi:10.5066/P97EQWXP.",
      "license": "US public domain (USGS compilation)"
    },
    {
      "name": "Massachusetts county tuberculosis cases and published rates, 2023",
      "version": "Massachusetts DPH 2023 summary, frozen GeoBenchX transcription",
      "sha256": "ddbdab166b734df900897371c5300a28e51874714b19702351ff9de2ba965569",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Massachusetts Department of Public Health, 2023 Tuberculosis Summary Data (2024); pinned GeoBenchX CSV transcription, reviewed 2026-10-06.",
      "license": "Public aggregate factual data; internal research reuse, not a blanket state-document license"
    },
    {
      "name": "CO2 emissions per capita, OWID frozen historical table",
      "version": "Frozen GeoBenchX OWID snapshot; no current data replacement",
      "sha256": "cdf13681cec78031faadd6b15a0fcedc27a90f97899d95d966a2163f56b548f6",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Ritchie, Rosado and Roser, Our World in Data, CO2 and Greenhouse Gas Emissions (2023), frozen GeoBenchX wide-table extraction; cite original providers GCP and Jones et al.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Greenhouse gas emissions per capita, OWID frozen historical table",
      "version": "Frozen GeoBenchX OWID snapshot; CO2-equivalent emissions including land use",
      "sha256": "40ec1c6d601fd44db00ef1bdf07e6bd3a41840dac2d7640c1a54e7faa1885d1f",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Ritchie, Rosado and Roser, Our World in Data, CO2 and Greenhouse Gas Emissions (2023), frozen GeoBenchX wide-table extraction; cite original providers GCP and Jones et al.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Fertility rate",
      "version": "Frozen WDI; use 2022",
      "sha256": "e4694fe761eacb7d240342583b3d819fc3fa5cb823d5d161149859de3670883d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank WDI SP.DYN.TFRT.IN; frozen archive, 2022 values; embedded demographic source attribution retained.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "GFD observed flood 4665, 2018-08-02 to 2018-08-10",
      "version": "Original five-band GFD v1 benchmark snapshot, not a current flood map; benchmark-only use",
      "sha256": "1cbd9e9a4d9fb25cae4be6a61ceb3a0c7482c8dfe5b79dad7dde092d7c9c548e",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Global Flood Database v1 (Tellman et al., 2021), MODIS observations, Cloud to Street. Original GeoBenchX archive.",
      "license": "Original GFD/Cloud to Street notices retained; benchmark-only use directed by user"
    },
    {
      "name": "Brazil population count, WorldPop 2018",
      "version": "2018 UN-adjusted population counts, 1 km aggregate",
      "sha256": "15d3deda72482680d494ec6d4d8add5102b58faa729bf6595ec267bb6638a164",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop / CIESIN, Brazil 2018 UN-adjusted population counts aggregated to 1 km cells.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "Peru province boundaries (ADM2)",
      "version": "IGN / OCHA COD-AB frozen 2020-07-14 release, 196 provinces",
      "sha256": "beb03197087e9a844ee0ce62a36863e8f75a70a1bd50e7a585250e6855917421",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "Peru IGN / OCHA COD-AB, ADM2 provinces, frozen 2020-07-14 edition.",
      "license": "CC-BY-IGO-3.0"
    },
    {
      "name": "Chile population count, WorldPop 2020",
      "version": "2020 UN-adjusted population counts aggregated to 1 km cells",
      "sha256": "5c0ba887829467d47abb9a2ba5d17386ca7329bb0134cff8da0576ce75b63b12",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "WorldPop and CIESIN. Chile population counts 2020, UN adjusted, 1 km. DOI 10.5258/SOTON/WP00671.",
      "license": "CC-BY-4.0"
    },
    {
      "name": "US state boundaries",
      "version": "Census TIGER/Line 2024",
      "sha256": "69ff970f163d029daf0bc092d94751fa2aaf86f06d7e994e62fa95ca196f702c",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "US Census Bureau TIGER/Line 2024 state boundaries",
      "license": "US public domain"
    },
    {
      "name": "World Bank IS.RRS.TOTL.KM",
      "version": "Frozen GeoBenchX World Development Indicators; use 2018",
      "sha256": "74567542d36371b50dc790dc932d7c89ff25a1f13beb04ef378ce66c4cfa6f5d",
      "url": "https://github.com/Solirinai/GeoBenchX",
      "attribution": "World Bank World Development Indicators IS.RRS.TOTL.KM; original archived producer attribution retained.",
      "license": "CC-BY-4.0"
    }
  ],
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      "infrastructureInvalid": false,
      "remoteTerminal": true,
      "replacesAttemptId": "attempt-0094",
      "supplementsAttemptId": null,
      "durationSeconds": 129.99320006370544,
      "toolCalls": 2,
      "totalTokens": 81608,
      "jobs": 0,
      "costUsd": null,
      "privateAttemptHash": "d436a112594b382f4ae8e0ed2a7a76db8f879c2fca4642eba18d5664be10160c"
    },
    {
      "attemptId": "attempt-0229",
      "taskId": "486122",
      "role": "supplemental",
      "startedAt": "2026-10-07T09:34:00.667003+00:00",
      "finishedAt": "2026-10-07T09:55:23.747785+00:00",
      "studyIdentity": "43a5a1b1ac99cc5248a0dd54e64dfb853bd3a88c09abb080ec8ffabad948356f",
      "rawStatus": "completed",
      "rawOutcome": "pass",
      "reasons": [],
      "infrastructureInvalid": false,
      "remoteTerminal": true,
      "replacesAttemptId": null,
      "supplementsAttemptId": "attempt-0225",
      "durationSeconds": 1283.080782175064,
      "toolCalls": 65,
      "totalTokens": 4258736,
      "jobs": 21,
      "costUsd": null,
      "privateAttemptHash": "4734c8d195a03bc5a9354f5adf23052edb6645725ed80f74e6e8609de84e563b"
    }
  ],
  "incidents": [
    {
      "incidentId": "provider-connection-20261007-0700",
      "category": "provider_transport_interruption",
      "startedAt": "2026-10-07T07:00:00Z",
      "endedAt": "2026-10-07T07:02:00Z",
      "affectedAttemptIds": [
        "attempt-0058",
        "attempt-0060",
        "attempt-0063",
        "attempt-0064",
        "attempt-0067",
        "attempt-0068",
        "attempt-0071",
        "attempt-0072",
        "attempt-0076",
        "attempt-0079",
        "attempt-0080",
        "attempt-0081",
        "attempt-0082",
        "attempt-0083",
        "attempt-0084",
        "attempt-0085",
        "attempt-0086",
        "attempt-0087",
        "attempt-0088",
        "attempt-0089",
        "attempt-0090",
        "attempt-0091",
        "attempt-0092",
        "attempt-0093",
        "attempt-0094"
      ],
      "explanation": "The external model connection ended the agent turn before it could continue or publish. Completed processor artifacts and original failures remain preserved; none are scored as successes.",
      "applicabilityRule": "Every primary run with a durable terminal run.failed event in [07:00:00,07:02:00] UTC on 2026-10-07 carrying agent_provider_unavailable and httpConnectionFailed is invalidated, independent of artifacts or grader outcome. Recovered ordinary backoff and intact runs without terminal transport exhaustion remain valid under the frozen policy.",
      "recoveryProof": "Private recovery receipts retained; receipt digest 59c5b02c9cd7c26525009bc9cef323a1664716cab0f449f625475db15640e8c6",
      "receiptSha256": "26e8e636127ead2d7116f8c68ab15f92c8e3b6d68218d950ca37fcd200d13c4b"
    }
  ],
  "summary": {
    "selected": 202,
    "valid": 201,
    "computational": {
      "selected": 134,
      "valid": 133,
      "passed": 115,
      "percent": 86.46616541353383
    },
    "limitation-control": {
      "selected": 68,
      "valid": 68,
      "passed": 67,
      "percent": 98.52941176470588
    }
  },
  "operationalSummary": {
    "allSubmissions": 229,
    "roles": {
      "repair": 2,
      "primary": 201,
      "infrastructure": 25,
      "supplemental": 1
    },
    "infrastructureInvalidAttempts": 25,
    "usageRecordedAttempts": 214,
    "observedTokensAllAttempts": 414635592,
    "costUsd": null,
    "goalStartedAt": "2026-10-07T05:12:21+00:00",
    "frozenAt": "2026-10-07T05:58:26.470342+00:00",
    "reportedAt": "2026-10-07T10:04:59.842715+00:00",
    "goalCompletedAt": "2026-10-07T10:04:38+00:00",
    "metricDisclosure": "All-submission usage includes repair and supplemental work when observed. It is not the primary accuracy metric or a dollar-cost estimate."
  },
  "representativeFailureTaskId": "104119",
  "exampleSelection": "First computational pass in task-ID order with a recorded trial and assessment (otherwise first computational pass); first valid computational nonpass. Illustrative, not representative of every task."
}