{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5OOGL74WVCCLTLBCBN3K4SIDQY","short_pith_number":"pith:5OOGL74W","canonical_record":{"source":{"id":"2412.02172","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T05:04:49Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"83109f974393ed215036f2091aa1c6d41266a92b437cc068eaeab0e6197bf67f","abstract_canon_sha256":"40b532dac5948d451386a9e7d9803b367fbf227ef69b024c07957c3e6b9a2ccf"},"schema_version":"1.0"},"canonical_sha256":"eb9c65ff96a884b9ac220b76ae49038626a090952482551c697a6c296db1e270","source":{"kind":"arxiv","id":"2412.02172","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02172","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02172v2","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02172","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_12","alias_value":"5OOGL74WVCCL","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_16","alias_value":"5OOGL74WVCCLTLBC","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_8","alias_value":"5OOGL74W","created_at":"2026-07-05T10:33:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5OOGL74WVCCLTLBCBN3K4SIDQY","target":"record","payload":{"canonical_record":{"source":{"id":"2412.02172","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T05:04:49Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"83109f974393ed215036f2091aa1c6d41266a92b437cc068eaeab0e6197bf67f","abstract_canon_sha256":"40b532dac5948d451386a9e7d9803b367fbf227ef69b024c07957c3e6b9a2ccf"},"schema_version":"1.0"},"canonical_sha256":"eb9c65ff96a884b9ac220b76ae49038626a090952482551c697a6c296db1e270","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:40.628922Z","signature_b64":"jrjNLBnNP+rfCYnnCq9foVJKHIqoHEWNI4CY7uIQWEXjoWlAB7HWJ9mCnqIDGn3Zhap0ydtDZzdK4KBCBz9dCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb9c65ff96a884b9ac220b76ae49038626a090952482551c697a6c296db1e270","last_reissued_at":"2026-07-05T10:33:40.628407Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:40.628407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.02172","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":"2026-07-05T10:33:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ase2aTmBoUfq5ytDadTWX4DZPPfPkIHXiqzPYzrC3XJ7mSrfEcEgUC6WfpIfgOkRuRebBfr3nijUlLHwBTQUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:34:20.328883Z"},"content_sha256":"67867c76a0f23b696e239bfc64ce9664a89c576b1cd49542168b7791c2dcab66","schema_version":"1.0","event_id":"sha256:67867c76a0f23b696e239bfc64ce9664a89c576b1cd49542168b7791c2dcab66"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5OOGL74WVCCLTLBCBN3K4SIDQY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Bingxuan Li, Da Yin, Kai-Wei Chang, Nanyun Peng, Pan Lu, Xueqing Wu, Yuheng Ding","submitted_at":"2024-12-03T05:04:49Z","abstract_excerpt":"The ability of large vision-language models (LVLMs) to critique and correct their reasoning is an essential building block towards their self-improvement. However, a systematic analysis of such capabilities in LVLMs is still lacking. We propose VISCO, the first benchmark to extensively analyze the fine-grained critique and correction capabilities of LVLMs. Compared to existing work that uses a single scalar value to critique the entire reasoning [4], VISCO features dense and fine-grained critique, requiring LVLMs to evaluate the correctness of each step in the chain-of-thought and provide natu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02172","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/2412.02172/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":"2026-07-05T10:33:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CA948mtL6C0ceqUGvjtqXrunRBi00aGm7POm+t0uy5n8bzNgbdGGIYn0xRvF51Pwhrq2F70MqpfzSWDnkyZHDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:34:20.329501Z"},"content_sha256":"646728df9e5f47e94219e0230353ee4495fbfa208ecad3cabe3a92801b970ded","schema_version":"1.0","event_id":"sha256:646728df9e5f47e94219e0230353ee4495fbfa208ecad3cabe3a92801b970ded"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/bundle.json","state_url":"https://pith.science/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/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":"2026-08-08T09:34:20Z","links":{"resolver":"https://pith.science/pith/5OOGL74WVCCLTLBCBN3K4SIDQY","bundle":"https://pith.science/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/bundle.json","state":"https://pith.science/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5OOGL74WVCCLTLBCBN3K4SIDQY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5OOGL74WVCCLTLBCBN3K4SIDQY","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":"40b532dac5948d451386a9e7d9803b367fbf227ef69b024c07957c3e6b9a2ccf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T05:04:49Z","title_canon_sha256":"83109f974393ed215036f2091aa1c6d41266a92b437cc068eaeab0e6197bf67f"},"schema_version":"1.0","source":{"id":"2412.02172","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02172","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02172v2","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02172","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_12","alias_value":"5OOGL74WVCCL","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_16","alias_value":"5OOGL74WVCCLTLBC","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_8","alias_value":"5OOGL74W","created_at":"2026-07-05T10:33:40Z"}],"graph_snapshots":[{"event_id":"sha256:646728df9e5f47e94219e0230353ee4495fbfa208ecad3cabe3a92801b970ded","target":"graph","created_at":"2026-07-05T10:33:40Z","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/2412.02172/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ability of large vision-language models (LVLMs) to critique and correct their reasoning is an essential building block towards their self-improvement. However, a systematic analysis of such capabilities in LVLMs is still lacking. We propose VISCO, the first benchmark to extensively analyze the fine-grained critique and correction capabilities of LVLMs. Compared to existing work that uses a single scalar value to critique the entire reasoning [4], VISCO features dense and fine-grained critique, requiring LVLMs to evaluate the correctness of each step in the chain-of-thought and provide natu","authors_text":"Bingxuan Li, Da Yin, Kai-Wei Chang, Nanyun Peng, Pan Lu, Xueqing Wu, Yuheng Ding","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T05:04:49Z","title":"VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02172","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":"sha256:67867c76a0f23b696e239bfc64ce9664a89c576b1cd49542168b7791c2dcab66","target":"record","created_at":"2026-07-05T10:33:40Z","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":"40b532dac5948d451386a9e7d9803b367fbf227ef69b024c07957c3e6b9a2ccf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T05:04:49Z","title_canon_sha256":"83109f974393ed215036f2091aa1c6d41266a92b437cc068eaeab0e6197bf67f"},"schema_version":"1.0","source":{"id":"2412.02172","kind":"arxiv","version":2}},"canonical_sha256":"eb9c65ff96a884b9ac220b76ae49038626a090952482551c697a6c296db1e270","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb9c65ff96a884b9ac220b76ae49038626a090952482551c697a6c296db1e270","first_computed_at":"2026-07-05T10:33:40.628407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:33:40.628407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jrjNLBnNP+rfCYnnCq9foVJKHIqoHEWNI4CY7uIQWEXjoWlAB7HWJ9mCnqIDGn3Zhap0ydtDZzdK4KBCBz9dCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:33:40.628922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.02172","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67867c76a0f23b696e239bfc64ce9664a89c576b1cd49542168b7791c2dcab66","sha256:646728df9e5f47e94219e0230353ee4495fbfa208ecad3cabe3a92801b970ded"],"state_sha256":"b17135caafd390943565f27fa743e9941bdad068e7b79e27705b7586d947f519"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RA8riLqvAEbSlZY4Yy6Hyajmm+xFw+KjXzII1E6Y1VqZ0+loM6sXXzgf5OU51LPAd38AYRbMCOjp/g+sG5CIDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:34:20.333307Z","bundle_sha256":"a2bff782db793a4550dd4f1b4c0b3742aa7bdf86ed9796e0a8ab0f5af24a6a80"}}