{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SVP4GZ7LGVI4EBBUGNJT5D4G5K","short_pith_number":"pith:SVP4GZ7L","canonical_record":{"source":{"id":"2311.07574","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-13T18:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"aad59ecce37cb86b27232fb7a421ea4f041be25bd8d8632a3190218ee62bb617","abstract_canon_sha256":"a251f95707be0a89b30b584d194f31294684b3d919e43ee3994a1e032e522d6a"},"schema_version":"1.0"},"canonical_sha256":"955fc367eb3551c2043433533e8f86eaaf94fe99c175b2e574782e135610d887","source":{"kind":"arxiv","id":"2311.07574","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07574","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07574v2","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07574","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_12","alias_value":"SVP4GZ7LGVI4","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_16","alias_value":"SVP4GZ7LGVI4EBBU","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_8","alias_value":"SVP4GZ7L","created_at":"2026-07-05T07:18:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SVP4GZ7LGVI4EBBUGNJT5D4G5K","target":"record","payload":{"canonical_record":{"source":{"id":"2311.07574","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-13T18:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"aad59ecce37cb86b27232fb7a421ea4f041be25bd8d8632a3190218ee62bb617","abstract_canon_sha256":"a251f95707be0a89b30b584d194f31294684b3d919e43ee3994a1e032e522d6a"},"schema_version":"1.0"},"canonical_sha256":"955fc367eb3551c2043433533e8f86eaaf94fe99c175b2e574782e135610d887","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:12.571208Z","signature_b64":"PmbhbTo5zKjPMd+cJ29Za3jEA85NDoffQ0Akf2Dtw/fdtzQkliG+iOoGl2uCEdK6sLCKSTEq0W+tKYO6ZVdVCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"955fc367eb3551c2043433533e8f86eaaf94fe99c175b2e574782e135610d887","last_reissued_at":"2026-07-05T07:18:12.570665Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:12.570665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.07574","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yPkiVdWaRacgF5MM58/f0eO4F/kFZJk+/c4N+TkgClBE+thQZCv1EeELy7WnvB2ewvCpvVp8hNpFulg4xRB6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:58:02.940635Z"},"content_sha256":"bcd7d58f2c3885fd3464e24df0ecfe0c2b9a3b7a61b22ec587996d963ea1659d","schema_version":"1.0","event_id":"sha256:bcd7d58f2c3885fd3464e24df0ecfe0c2b9a3b7a61b22ec587996d963ea1659d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SVP4GZ7LGVI4EBBUGNJT5D4G5K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo He, Junke Wang, Lingchen Meng, Yu-Gang Jiang, Zejia Weng, Zuxuan Wu","submitted_at":"2023-11-13T18:59:31Z","abstract_excerpt":"Existing visual instruction tuning methods typically prompt large language models with textual descriptions to generate instruction-following data. Despite the promising performance achieved, these descriptions are derived from image annotations, which are oftentimes coarse-grained. Furthermore, the instructions might even contradict the visual content without observing the entire visual context. To address this challenge, we introduce a fine-grained visual instruction dataset, LVIS-Instruct4V, which contains 220K visually aligned and context-aware instructions produced by prompting the powerf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07574","kind":"arxiv","version":2},"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/2311.07574/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":"2026-07-05T07:18:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qlN2VxtNZbE1ceoP4N9B6w8CBEc0zFSIIOjO1sMbaDYM8FRZUTwrQ3ePqEW9WRa+DOM8lC38Bso+2LDVWTTbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:58:02.941260Z"},"content_sha256":"d7dc0780d01855867ab262bd91ed332c5d149ff6ed51548605a0754c579ee7e0","schema_version":"1.0","event_id":"sha256:d7dc0780d01855867ab262bd91ed332c5d149ff6ed51548605a0754c579ee7e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/bundle.json","state_url":"https://pith.science/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/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":"2026-08-05T15:58:02Z","links":{"resolver":"https://pith.science/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K","bundle":"https://pith.science/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/bundle.json","state":"https://pith.science/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SVP4GZ7LGVI4EBBUGNJT5D4G5K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SVP4GZ7LGVI4EBBUGNJT5D4G5K","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":"a251f95707be0a89b30b584d194f31294684b3d919e43ee3994a1e032e522d6a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-13T18:59:31Z","title_canon_sha256":"aad59ecce37cb86b27232fb7a421ea4f041be25bd8d8632a3190218ee62bb617"},"schema_version":"1.0","source":{"id":"2311.07574","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07574","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07574v2","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07574","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_12","alias_value":"SVP4GZ7LGVI4","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_16","alias_value":"SVP4GZ7LGVI4EBBU","created_at":"2026-07-05T07:18:12Z"},{"alias_kind":"pith_short_8","alias_value":"SVP4GZ7L","created_at":"2026-07-05T07:18:12Z"}],"graph_snapshots":[{"event_id":"sha256:d7dc0780d01855867ab262bd91ed332c5d149ff6ed51548605a0754c579ee7e0","target":"graph","created_at":"2026-07-05T07:18:12Z","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/2311.07574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing visual instruction tuning methods typically prompt large language models with textual descriptions to generate instruction-following data. Despite the promising performance achieved, these descriptions are derived from image annotations, which are oftentimes coarse-grained. Furthermore, the instructions might even contradict the visual content without observing the entire visual context. To address this challenge, we introduce a fine-grained visual instruction dataset, LVIS-Instruct4V, which contains 220K visually aligned and context-aware instructions produced by prompting the powerf","authors_text":"Bo He, Junke Wang, Lingchen Meng, Yu-Gang Jiang, Zejia Weng, Zuxuan Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-13T18:59:31Z","title":"To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07574","kind":"arxiv","version":2},"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:bcd7d58f2c3885fd3464e24df0ecfe0c2b9a3b7a61b22ec587996d963ea1659d","target":"record","created_at":"2026-07-05T07:18:12Z","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":"a251f95707be0a89b30b584d194f31294684b3d919e43ee3994a1e032e522d6a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-13T18:59:31Z","title_canon_sha256":"aad59ecce37cb86b27232fb7a421ea4f041be25bd8d8632a3190218ee62bb617"},"schema_version":"1.0","source":{"id":"2311.07574","kind":"arxiv","version":2}},"canonical_sha256":"955fc367eb3551c2043433533e8f86eaaf94fe99c175b2e574782e135610d887","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"955fc367eb3551c2043433533e8f86eaaf94fe99c175b2e574782e135610d887","first_computed_at":"2026-07-05T07:18:12.570665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:12.570665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PmbhbTo5zKjPMd+cJ29Za3jEA85NDoffQ0Akf2Dtw/fdtzQkliG+iOoGl2uCEdK6sLCKSTEq0W+tKYO6ZVdVCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:12.571208Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.07574","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bcd7d58f2c3885fd3464e24df0ecfe0c2b9a3b7a61b22ec587996d963ea1659d","sha256:d7dc0780d01855867ab262bd91ed332c5d149ff6ed51548605a0754c579ee7e0"],"state_sha256":"9b811377d16ebc99c5ae2ffb74ff724b250f95e3898c2a2247d0ae13f09df44e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F7glclfVk/yp7Pnq5BAXiyoMB2uZCUW64M63N1TZRO49FDCjKliIG8US9kkNQY+DW9ZvYUFHpYdeyQqFUtSfAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:58:02.945916Z","bundle_sha256":"9fb9177add8b957d60824096e4cddd26d55102df025f77c9268ff672dbbf530f"}}