{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VM4WULLUZMQP2S3YKW7HBYGZYL","short_pith_number":"pith:VM4WULLU","canonical_record":{"source":{"id":"2409.00489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-31T15:51:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ee2a187fcd614f5e029901a8924477d472df0780da98a1247be00dd7a4517dd2","abstract_canon_sha256":"4184a7468ddc1787a00b74f62f086554334b009a7a2d5f3bff99ab6262e4e845"},"schema_version":"1.0"},"canonical_sha256":"ab396a2d74cb20fd4b7855be70e0d9c2e92ca3c449a3ac15f6568916c58f3cad","source":{"kind":"arxiv","id":"2409.00489","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00489","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00489v1","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00489","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_12","alias_value":"VM4WULLUZMQP","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_16","alias_value":"VM4WULLUZMQP2S3Y","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_8","alias_value":"VM4WULLU","created_at":"2026-07-05T09:01:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VM4WULLUZMQP2S3YKW7HBYGZYL","target":"record","payload":{"canonical_record":{"source":{"id":"2409.00489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-31T15:51:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ee2a187fcd614f5e029901a8924477d472df0780da98a1247be00dd7a4517dd2","abstract_canon_sha256":"4184a7468ddc1787a00b74f62f086554334b009a7a2d5f3bff99ab6262e4e845"},"schema_version":"1.0"},"canonical_sha256":"ab396a2d74cb20fd4b7855be70e0d9c2e92ca3c449a3ac15f6568916c58f3cad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:48.198284Z","signature_b64":"66Kx6Rkm2+dQjWreZ8C3c5vc17s5O+g0GR/VRIiawedMu1xTRyeL5cQ+jEd0JTBlJf7K+Ji9mbik+aJK6R27Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ab396a2d74cb20fd4b7855be70e0d9c2e92ca3c449a3ac15f6568916c58f3cad","last_reissued_at":"2026-07-05T09:01:48.197735Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:48.197735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.00489","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":"2026-07-05T09:01:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46wI75yj8qYmJ67qoxgL6DXf3DEqz4Scb9ryxXLaEhFWRyZX0u4EtB49hCGKSaD3lJuAduQxGHUNjGhXDEaqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:55.349666Z"},"content_sha256":"1e7b1dcbc3b7bd4d2d17dd1f72b8f4f3f1892d028b46d51371bbc0c22370e0f6","schema_version":"1.0","event_id":"sha256:1e7b1dcbc3b7bd4d2d17dd1f72b8f4f3f1892d028b46d51371bbc0c22370e0f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VM4WULLUZMQP2S3YKW7HBYGZYL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chia-Yu Hsu, Sizhe Wang, Wenwen Li","submitted_at":"2024-08-31T15:51:23Z","abstract_excerpt":"Research on geospatial foundation models (GFMs) has become a trending topic in geospatial artificial intelligence (AI) research due to their potential for achieving high generalizability and domain adaptability, reducing model training costs for individual researchers. Unlike large language models, such as ChatGPT, constructing visual foundation models for image analysis, particularly in remote sensing, encountered significant challenges such as formulating diverse vision tasks into a general problem framework. This paper evaluates the recently released NASA-IBM GFM Prithvi for its predictive "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00489","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/2409.00489/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":"2026-07-05T09:01:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"423POWtIFM1yAeo+7axrEULB7YL2OFUF5Wm9dZ5Q5yfPdP0mw4s8Rd/5XucmlUWLzK8oB2ugJt/auoxqjExeDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:55.350172Z"},"content_sha256":"2b2e6453ec2079bc4556748801a5ba7e4cfe29a6232b8876c6141e5bf3a5f18f","schema_version":"1.0","event_id":"sha256:2b2e6453ec2079bc4556748801a5ba7e4cfe29a6232b8876c6141e5bf3a5f18f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/bundle.json","state_url":"https://pith.science/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/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":"2026-08-01T14:53:55Z","links":{"resolver":"https://pith.science/pith/VM4WULLUZMQP2S3YKW7HBYGZYL","bundle":"https://pith.science/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/bundle.json","state":"https://pith.science/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VM4WULLUZMQP2S3YKW7HBYGZYL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VM4WULLUZMQP2S3YKW7HBYGZYL","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":"4184a7468ddc1787a00b74f62f086554334b009a7a2d5f3bff99ab6262e4e845","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-31T15:51:23Z","title_canon_sha256":"ee2a187fcd614f5e029901a8924477d472df0780da98a1247be00dd7a4517dd2"},"schema_version":"1.0","source":{"id":"2409.00489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00489","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00489v1","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00489","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_12","alias_value":"VM4WULLUZMQP","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_16","alias_value":"VM4WULLUZMQP2S3Y","created_at":"2026-07-05T09:01:48Z"},{"alias_kind":"pith_short_8","alias_value":"VM4WULLU","created_at":"2026-07-05T09:01:48Z"}],"graph_snapshots":[{"event_id":"sha256:2b2e6453ec2079bc4556748801a5ba7e4cfe29a6232b8876c6141e5bf3a5f18f","target":"graph","created_at":"2026-07-05T09:01:48Z","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/2409.00489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research on geospatial foundation models (GFMs) has become a trending topic in geospatial artificial intelligence (AI) research due to their potential for achieving high generalizability and domain adaptability, reducing model training costs for individual researchers. Unlike large language models, such as ChatGPT, constructing visual foundation models for image analysis, particularly in remote sensing, encountered significant challenges such as formulating diverse vision tasks into a general problem framework. This paper evaluates the recently released NASA-IBM GFM Prithvi for its predictive ","authors_text":"Chia-Yu Hsu, Sizhe Wang, Wenwen Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-31T15:51:23Z","title":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00489","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":"sha256:1e7b1dcbc3b7bd4d2d17dd1f72b8f4f3f1892d028b46d51371bbc0c22370e0f6","target":"record","created_at":"2026-07-05T09:01:48Z","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":"4184a7468ddc1787a00b74f62f086554334b009a7a2d5f3bff99ab6262e4e845","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-31T15:51:23Z","title_canon_sha256":"ee2a187fcd614f5e029901a8924477d472df0780da98a1247be00dd7a4517dd2"},"schema_version":"1.0","source":{"id":"2409.00489","kind":"arxiv","version":1}},"canonical_sha256":"ab396a2d74cb20fd4b7855be70e0d9c2e92ca3c449a3ac15f6568916c58f3cad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab396a2d74cb20fd4b7855be70e0d9c2e92ca3c449a3ac15f6568916c58f3cad","first_computed_at":"2026-07-05T09:01:48.197735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:48.197735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"66Kx6Rkm2+dQjWreZ8C3c5vc17s5O+g0GR/VRIiawedMu1xTRyeL5cQ+jEd0JTBlJf7K+Ji9mbik+aJK6R27Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:48.198284Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e7b1dcbc3b7bd4d2d17dd1f72b8f4f3f1892d028b46d51371bbc0c22370e0f6","sha256:2b2e6453ec2079bc4556748801a5ba7e4cfe29a6232b8876c6141e5bf3a5f18f"],"state_sha256":"8af16b00decfeef43104ccc997dd6671b1dea73590551f76ea559d59b0be4139"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8WK0wql5fGqD0QsW4l2JTgVB2u/tZi3cAmASQnILyZ01bVi2IXfbMooCnEL3yOzyIkobHSvJcWWAGgRppD9lDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T14:53:55.355780Z","bundle_sha256":"8ba6a186605bd93779bee71cefc6450b7988f2645a6cf9b5c29bb4703ad7859e"}}