{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AQVGZRXUGI4GAFJSQN36SZGGTC","short_pith_number":"pith:AQVGZRXU","canonical_record":{"source":{"id":"2311.15826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-24T18:59:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"939cca372b4feee20eeb4c49b132bfbc663e1a52692a8614aaa291de8c5a72c3","abstract_canon_sha256":"509460371dde36da3b8242cd2f79917da2413ae8544461ffb6244553e1609145"},"schema_version":"1.0"},"canonical_sha256":"042a6cc6f432386015328377e964c698aeddc8312c4d7ce8f59be144be043704","source":{"kind":"arxiv","id":"2311.15826","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15826","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15826v1","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15826","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_12","alias_value":"AQVGZRXUGI4G","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_16","alias_value":"AQVGZRXUGI4GAFJS","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_8","alias_value":"AQVGZRXU","created_at":"2026-07-05T07:17:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AQVGZRXUGI4GAFJSQN36SZGGTC","target":"record","payload":{"canonical_record":{"source":{"id":"2311.15826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-24T18:59:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"939cca372b4feee20eeb4c49b132bfbc663e1a52692a8614aaa291de8c5a72c3","abstract_canon_sha256":"509460371dde36da3b8242cd2f79917da2413ae8544461ffb6244553e1609145"},"schema_version":"1.0"},"canonical_sha256":"042a6cc6f432386015328377e964c698aeddc8312c4d7ce8f59be144be043704","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:17:10.042190Z","signature_b64":"5GWI62Yg+xGfdxekvFlcKc2zrGhKCUTBJppJKOWB/ZgeVs0hQJ0GeUxvWS+qG04DPLCxqjt0T/PwoLxOlDjuBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"042a6cc6f432386015328377e964c698aeddc8312c4d7ce8f59be144be043704","last_reissued_at":"2026-07-05T07:17:10.041668Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:17:10.041668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.15826","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":"2026-07-05T07:17:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hWJ21QxT7KaIX8GbPLGcyNLGfEA7uN7f40SNTd8hndo2qDZtjOuoYL+6M6N+itmtvub81zKe5eqWedUj4JKcCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:41.889455Z"},"content_sha256":"29322031f7408eec03533499f8445271ffcfe526890ce09e8232245bbb042fa9","schema_version":"1.0","event_id":"sha256:29322031f7408eec03533499f8445271ffcfe526890ce09e8232245bbb042fa9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AQVGZRXUGI4GAFJSQN36SZGGTC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GeoChat: Grounded Large Vision-Language Model for Remote Sensing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Abhijit Das, Fahad Shahbaz Khan, Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Salman Khan","submitted_at":"2023-11-24T18:59:10Z","abstract_excerpt":"Recent advancements in Large Vision-Language Models (VLMs) have shown great promise in natural image domains, allowing users to hold a dialogue about given visual content. However, such general-domain VLMs perform poorly for Remote Sensing (RS) scenarios, leading to inaccurate or fabricated information when presented with RS domain-specific queries. Such a behavior emerges due to the unique challenges introduced by RS imagery. For example, to handle high-resolution RS imagery with diverse scale changes across categories and many small objects, region-level reasoning is necessary alongside holi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15826","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/2311.15826/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":"2026-07-05T07:17:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Oaiivx4qkpOx6bVJx+KuWQxvFAjBz1oBZQ5CNysJevF17TPFefNRyoe+jZqjNCxbZyCNJ674N0Cqjyu7hxqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:41.889821Z"},"content_sha256":"9b7ecc060c11464793abc17695a3e6793f9945c3502043cf681e71a5562aed23","schema_version":"1.0","event_id":"sha256:9b7ecc060c11464793abc17695a3e6793f9945c3502043cf681e71a5562aed23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/bundle.json","state_url":"https://pith.science/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/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":"2026-07-06T18:07:41Z","links":{"resolver":"https://pith.science/pith/AQVGZRXUGI4GAFJSQN36SZGGTC","bundle":"https://pith.science/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/bundle.json","state":"https://pith.science/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AQVGZRXUGI4GAFJSQN36SZGGTC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AQVGZRXUGI4GAFJSQN36SZGGTC","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":"509460371dde36da3b8242cd2f79917da2413ae8544461ffb6244553e1609145","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-24T18:59:10Z","title_canon_sha256":"939cca372b4feee20eeb4c49b132bfbc663e1a52692a8614aaa291de8c5a72c3"},"schema_version":"1.0","source":{"id":"2311.15826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15826","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15826v1","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15826","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_12","alias_value":"AQVGZRXUGI4G","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_16","alias_value":"AQVGZRXUGI4GAFJS","created_at":"2026-07-05T07:17:10Z"},{"alias_kind":"pith_short_8","alias_value":"AQVGZRXU","created_at":"2026-07-05T07:17:10Z"}],"graph_snapshots":[{"event_id":"sha256:9b7ecc060c11464793abc17695a3e6793f9945c3502043cf681e71a5562aed23","target":"graph","created_at":"2026-07-05T07:17:10Z","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/2311.15826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in Large Vision-Language Models (VLMs) have shown great promise in natural image domains, allowing users to hold a dialogue about given visual content. However, such general-domain VLMs perform poorly for Remote Sensing (RS) scenarios, leading to inaccurate or fabricated information when presented with RS domain-specific queries. Such a behavior emerges due to the unique challenges introduced by RS imagery. For example, to handle high-resolution RS imagery with diverse scale changes across categories and many small objects, region-level reasoning is necessary alongside holi","authors_text":"Abhijit Das, Fahad Shahbaz Khan, Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Salman Khan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-24T18:59:10Z","title":"GeoChat: Grounded Large Vision-Language Model for Remote Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15826","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":"sha256:29322031f7408eec03533499f8445271ffcfe526890ce09e8232245bbb042fa9","target":"record","created_at":"2026-07-05T07:17:10Z","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":"509460371dde36da3b8242cd2f79917da2413ae8544461ffb6244553e1609145","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-24T18:59:10Z","title_canon_sha256":"939cca372b4feee20eeb4c49b132bfbc663e1a52692a8614aaa291de8c5a72c3"},"schema_version":"1.0","source":{"id":"2311.15826","kind":"arxiv","version":1}},"canonical_sha256":"042a6cc6f432386015328377e964c698aeddc8312c4d7ce8f59be144be043704","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"042a6cc6f432386015328377e964c698aeddc8312c4d7ce8f59be144be043704","first_computed_at":"2026-07-05T07:17:10.041668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:17:10.041668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5GWI62Yg+xGfdxekvFlcKc2zrGhKCUTBJppJKOWB/ZgeVs0hQJ0GeUxvWS+qG04DPLCxqjt0T/PwoLxOlDjuBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:17:10.042190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29322031f7408eec03533499f8445271ffcfe526890ce09e8232245bbb042fa9","sha256:9b7ecc060c11464793abc17695a3e6793f9945c3502043cf681e71a5562aed23"],"state_sha256":"1c70fbaafc91175cd0bfa98f626c9a32e3d5f47f779e310ae36e49b7b657b43e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tDmTGI3h25zQVGv2DcEHlXZZABCfTBXdWKmcp8fUS1UPIGEiNrxWJCovT78jj1ZV2kAtH9w+BWMz0+EvnXrnDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:07:41.891711Z","bundle_sha256":"d57c9c0519b3f08ce1dda56b9643c1bdac3c8c8f4ef050f046ebf3600d5a8c99"}}