{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4YBVXS7LQGNXZV4EQKECIWUSCX","short_pith_number":"pith:4YBVXS7L","canonical_record":{"source":{"id":"2412.16232","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T02:38:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07925b6bbea54a1c4bd88391ed3dcef9ca9674f5f7acc7f007800c8fdcde8be7","abstract_canon_sha256":"0449bb867a5a4a21390b6fe6193ed114679a58f648fbc3ef3df214a87b9f88a5"},"schema_version":"1.0"},"canonical_sha256":"e6035bcbeb819b7cd7848288245a9215de30dd8423f3383f506a0d775049f34a","source":{"kind":"arxiv","id":"2412.16232","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16232","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16232v3","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16232","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"4YBVXS7LQGNX","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"4YBVXS7LQGNXZV4E","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"4YBVXS7L","created_at":"2026-07-05T10:11:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4YBVXS7LQGNXZV4EQKECIWUSCX","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16232","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T02:38:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07925b6bbea54a1c4bd88391ed3dcef9ca9674f5f7acc7f007800c8fdcde8be7","abstract_canon_sha256":"0449bb867a5a4a21390b6fe6193ed114679a58f648fbc3ef3df214a87b9f88a5"},"schema_version":"1.0"},"canonical_sha256":"e6035bcbeb819b7cd7848288245a9215de30dd8423f3383f506a0d775049f34a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:30.675337Z","signature_b64":"Us8u0+kCw2I1FQKR/W3Vu0V/QrdGBwu1P8MfwJBrubqajKi/X8CTbTjByU2jzuQVDrh00I4nHh2B8UCtTxb1BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6035bcbeb819b7cd7848288245a9215de30dd8423f3383f506a0d775049f34a","last_reissued_at":"2026-07-05T10:11:30.674764Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:30.674764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16232","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:11:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mucw95pZesZ52f1GGZk9wj9TlxX0/5bO5/c17Xr8K0UpktPH3g7PyC3uMmrXXC+nYnRfoKwbrMospGhIW9w4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:41:15.103846Z"},"content_sha256":"605fe834b2609d5804408ba59b4d7d37f7d7a06a08e14d6369a094fc53247216","schema_version":"1.0","event_id":"sha256:605fe834b2609d5804408ba59b4d7d37f7d7a06a08e14d6369a094fc53247216"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4YBVXS7LQGNXZV4EQKECIWUSCX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Liqiang Jing, Vibhav Gogate, Yue Zhang","submitted_at":"2024-12-19T02:38:31Z","abstract_excerpt":"We introduce a new task called Defeasible Visual Entailment (DVE), where the goal is to allow the modification of the entailment relationship between an image premise and a text hypothesis based on an additional update. While this concept is well-established in Natural Language Inference, it remains unexplored in visual entailment. At a high level, DVE enables models to refine their initial interpretations, leading to improved accuracy and reliability in various applications such as detecting misleading information in images, enhancing visual question answering, and refining decision-making pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16232","kind":"arxiv","version":3},"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/2412.16232/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":"2026-07-05T10:11:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mfnYrSLLL0KU4TYCyU6L0P7l9j3LVG/bz0k+gHeNKK3S0PiRUapyqis0gXD1ceku6Q0cvUHAeLjgXmLWMGq8DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:41:15.104367Z"},"content_sha256":"6fff715ed6bb8e91b9347d08d4ec051d6ad4b3639de08707f0cd963cd319d9e4","schema_version":"1.0","event_id":"sha256:6fff715ed6bb8e91b9347d08d4ec051d6ad4b3639de08707f0cd963cd319d9e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/bundle.json","state_url":"https://pith.science/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/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":"2026-08-16T01:41:15Z","links":{"resolver":"https://pith.science/pith/4YBVXS7LQGNXZV4EQKECIWUSCX","bundle":"https://pith.science/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/bundle.json","state":"https://pith.science/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4YBVXS7LQGNXZV4EQKECIWUSCX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4YBVXS7LQGNXZV4EQKECIWUSCX","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":"0449bb867a5a4a21390b6fe6193ed114679a58f648fbc3ef3df214a87b9f88a5","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T02:38:31Z","title_canon_sha256":"07925b6bbea54a1c4bd88391ed3dcef9ca9674f5f7acc7f007800c8fdcde8be7"},"schema_version":"1.0","source":{"id":"2412.16232","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16232","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16232v3","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16232","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_12","alias_value":"4YBVXS7LQGNX","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_16","alias_value":"4YBVXS7LQGNXZV4E","created_at":"2026-07-05T10:11:30Z"},{"alias_kind":"pith_short_8","alias_value":"4YBVXS7L","created_at":"2026-07-05T10:11:30Z"}],"graph_snapshots":[{"event_id":"sha256:6fff715ed6bb8e91b9347d08d4ec051d6ad4b3639de08707f0cd963cd319d9e4","target":"graph","created_at":"2026-07-05T10:11:30Z","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/2412.16232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a new task called Defeasible Visual Entailment (DVE), where the goal is to allow the modification of the entailment relationship between an image premise and a text hypothesis based on an additional update. While this concept is well-established in Natural Language Inference, it remains unexplored in visual entailment. At a high level, DVE enables models to refine their initial interpretations, leading to improved accuracy and reliability in various applications such as detecting misleading information in images, enhancing visual question answering, and refining decision-making pr","authors_text":"Liqiang Jing, Vibhav Gogate, Yue Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T02:38:31Z","title":"Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16232","kind":"arxiv","version":3},"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":"sha256:605fe834b2609d5804408ba59b4d7d37f7d7a06a08e14d6369a094fc53247216","target":"record","created_at":"2026-07-05T10:11:30Z","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":"0449bb867a5a4a21390b6fe6193ed114679a58f648fbc3ef3df214a87b9f88a5","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T02:38:31Z","title_canon_sha256":"07925b6bbea54a1c4bd88391ed3dcef9ca9674f5f7acc7f007800c8fdcde8be7"},"schema_version":"1.0","source":{"id":"2412.16232","kind":"arxiv","version":3}},"canonical_sha256":"e6035bcbeb819b7cd7848288245a9215de30dd8423f3383f506a0d775049f34a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6035bcbeb819b7cd7848288245a9215de30dd8423f3383f506a0d775049f34a","first_computed_at":"2026-07-05T10:11:30.674764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:30.674764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Us8u0+kCw2I1FQKR/W3Vu0V/QrdGBwu1P8MfwJBrubqajKi/X8CTbTjByU2jzuQVDrh00I4nHh2B8UCtTxb1BA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:30.675337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16232","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:605fe834b2609d5804408ba59b4d7d37f7d7a06a08e14d6369a094fc53247216","sha256:6fff715ed6bb8e91b9347d08d4ec051d6ad4b3639de08707f0cd963cd319d9e4"],"state_sha256":"f5ffe899db106bfb24957a935acfb6dcc0b9823f18f7d6e72b06e037b4ab7b1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSuT2+kOYaj2HV1R/BRzy/VnT8tXmonhV49RrRnn9t3Cgi2NJsQ+sO6tzVEY4SxuDizFR6S+GEggYuzrxjyzBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T01:41:15.110463Z","bundle_sha256":"5695b1d670d9282246fc654f986cce292848118430ee379408fde336f8dab573"}}