{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ONNCAVCQDVJXOTSTB5EZ45AEZL","short_pith_number":"pith:ONNCAVCQ","canonical_record":{"source":{"id":"2104.10066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T09:47:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cb6eea203549442fa32139af6c07f1d845827209770895455e2691ac3f1cab17","abstract_canon_sha256":"1074339f7a5cd473a91593867bd30de9e1b559e185c3c7d2e1f71af9257d7d81"},"schema_version":"1.0"},"canonical_sha256":"735a2054501d53774e530f499e7404cac4fa4b4162b5c96eef137bf92b1c92c1","source":{"kind":"arxiv","id":"2104.10066","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.10066","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"arxiv_version","alias_value":"2104.10066v1","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.10066","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_12","alias_value":"ONNCAVCQDVJX","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_16","alias_value":"ONNCAVCQDVJXOTST","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_8","alias_value":"ONNCAVCQ","created_at":"2026-07-05T02:33:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ONNCAVCQDVJXOTSTB5EZ45AEZL","target":"record","payload":{"canonical_record":{"source":{"id":"2104.10066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T09:47:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cb6eea203549442fa32139af6c07f1d845827209770895455e2691ac3f1cab17","abstract_canon_sha256":"1074339f7a5cd473a91593867bd30de9e1b559e185c3c7d2e1f71af9257d7d81"},"schema_version":"1.0"},"canonical_sha256":"735a2054501d53774e530f499e7404cac4fa4b4162b5c96eef137bf92b1c92c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:33:39.664304Z","signature_b64":"p8vh/wTFmDQfE/Ve5UmYwA+N7B4icpHB6h9AJJn0t2V7RbGLQsyzvi2zQGLbzv81Tqq5uTF1X6Aa1UzfmJmNBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"735a2054501d53774e530f499e7404cac4fa4b4162b5c96eef137bf92b1c92c1","last_reissued_at":"2026-07-05T02:33:39.663910Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:33:39.663910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.10066","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:33:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C7AwBPb5K5ei4/6ULqsiUqdwEy83OrCUyJdlntKUKTX05HqtgUwwCQemog9lWjD3LHP484J0giFv5g/aSgz6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:06:30.855956Z"},"content_sha256":"abcacbb8118b78e2a493b2250e7b57b50a592644e3d28f1917f5e46affbefc8d","schema_version":"1.0","event_id":"sha256:abcacbb8118b78e2a493b2250e7b57b50a592644e3d28f1917f5e46affbefc8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ONNCAVCQDVJXOTSTB5EZ45AEZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Christian Requena-Mesa, Jakob Runge, Joachim Denzler, Markus Reichstein, Vitus Benson","submitted_at":"2021-04-16T09:47:30Z","abstract_excerpt":"Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on future weather. EarthNet2021 is a large dataset suitable for training deep neural networks on the task. It contains Sentinel 2 satellite imagery at 20m resolution, matching topography and mesoscale (1.28km) meteorological variables packaged into 32000 samples. Additionally we frame EarthNet2021 as a challenge allowing for model intercomparison. Resulting forecasts will greatly improve (>x50) over the spatial resolution f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.10066","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2104.10066/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:33:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"feND+1Bnm0snb/V2ycGBe9BrVl/wyTUEBZdpMuoepiEgZwSSBqlf2yQ4CnCgKQgWS36yDmq5YWExZlQ841+zDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:06:30.856350Z"},"content_sha256":"e3def4ef2b372684ff5406d568b417fa78cbe5a5dae662a8a19b9a89d9229b86","schema_version":"1.0","event_id":"sha256:e3def4ef2b372684ff5406d568b417fa78cbe5a5dae662a8a19b9a89d9229b86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/bundle.json","state_url":"https://pith.science/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T11:06:30Z","links":{"resolver":"https://pith.science/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL","bundle":"https://pith.science/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/bundle.json","state":"https://pith.science/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ONNCAVCQDVJXOTSTB5EZ45AEZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ONNCAVCQDVJXOTSTB5EZ45AEZL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1074339f7a5cd473a91593867bd30de9e1b559e185c3c7d2e1f71af9257d7d81","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T09:47:30Z","title_canon_sha256":"cb6eea203549442fa32139af6c07f1d845827209770895455e2691ac3f1cab17"},"schema_version":"1.0","source":{"id":"2104.10066","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.10066","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"arxiv_version","alias_value":"2104.10066v1","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.10066","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_12","alias_value":"ONNCAVCQDVJX","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_16","alias_value":"ONNCAVCQDVJXOTST","created_at":"2026-07-05T02:33:39Z"},{"alias_kind":"pith_short_8","alias_value":"ONNCAVCQ","created_at":"2026-07-05T02:33:39Z"}],"graph_snapshots":[{"event_id":"sha256:e3def4ef2b372684ff5406d568b417fa78cbe5a5dae662a8a19b9a89d9229b86","target":"graph","created_at":"2026-07-05T02:33:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2104.10066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on future weather. EarthNet2021 is a large dataset suitable for training deep neural networks on the task. It contains Sentinel 2 satellite imagery at 20m resolution, matching topography and mesoscale (1.28km) meteorological variables packaged into 32000 samples. Additionally we frame EarthNet2021 as a challenge allowing for model intercomparison. Resulting forecasts will greatly improve (>x50) over the spatial resolution f","authors_text":"Christian Requena-Mesa, Jakob Runge, Joachim Denzler, Markus Reichstein, Vitus Benson","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T09:47:30Z","title":"EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.10066","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:abcacbb8118b78e2a493b2250e7b57b50a592644e3d28f1917f5e46affbefc8d","target":"record","created_at":"2026-07-05T02:33:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1074339f7a5cd473a91593867bd30de9e1b559e185c3c7d2e1f71af9257d7d81","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T09:47:30Z","title_canon_sha256":"cb6eea203549442fa32139af6c07f1d845827209770895455e2691ac3f1cab17"},"schema_version":"1.0","source":{"id":"2104.10066","kind":"arxiv","version":1}},"canonical_sha256":"735a2054501d53774e530f499e7404cac4fa4b4162b5c96eef137bf92b1c92c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"735a2054501d53774e530f499e7404cac4fa4b4162b5c96eef137bf92b1c92c1","first_computed_at":"2026-07-05T02:33:39.663910Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:33:39.663910Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p8vh/wTFmDQfE/Ve5UmYwA+N7B4icpHB6h9AJJn0t2V7RbGLQsyzvi2zQGLbzv81Tqq5uTF1X6Aa1UzfmJmNBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:33:39.664304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.10066","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abcacbb8118b78e2a493b2250e7b57b50a592644e3d28f1917f5e46affbefc8d","sha256:e3def4ef2b372684ff5406d568b417fa78cbe5a5dae662a8a19b9a89d9229b86"],"state_sha256":"e990ad510fa445d1916f8fc25eff28ebbe21f3a5c8a7680ed83e2bf1c0591fb1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EVdlgJqqKL/x2baLuHhk5FN09/mvaiPxzt2yC2jl3z8YPEoM/rUqJNKGUmkGrGDgMjTeRBeywLaVtCelPTL/Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:06:30.858322Z","bundle_sha256":"8bf8e5b3e435d805d0c3ba195150df840cb42982e72a5e5c14e50df6fb5afa56"}}