{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:473LPK4RWPOH3U3TW6SK2WTY22","short_pith_number":"pith:473LPK4R","canonical_record":{"source":{"id":"2505.14405","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-20T14:18:56Z","cross_cats_sorted":[],"title_canon_sha256":"e28d7b6f1f1ecd416feacc054f13fbc272e97103d0c3969c425d9e5a2d14aa94","abstract_canon_sha256":"a84a3d540f31ed9ed0afd0da140d8e80b1a67ec817e7b1036bf3b2b8796d61a5"},"schema_version":"1.0"},"canonical_sha256":"e7f6b7ab91b3dc7dd373b7a4ad5a78d6bf807d6c1d0c3d5b407847f651a8437d","source":{"kind":"arxiv","id":"2505.14405","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14405","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14405v1","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14405","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"473LPK4RWPOH","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_16","alias_value":"473LPK4RWPOH3U3T","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_8","alias_value":"473LPK4R","created_at":"2026-07-05T11:06:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:473LPK4RWPOH3U3TW6SK2WTY22","target":"record","payload":{"canonical_record":{"source":{"id":"2505.14405","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-20T14:18:56Z","cross_cats_sorted":[],"title_canon_sha256":"e28d7b6f1f1ecd416feacc054f13fbc272e97103d0c3969c425d9e5a2d14aa94","abstract_canon_sha256":"a84a3d540f31ed9ed0afd0da140d8e80b1a67ec817e7b1036bf3b2b8796d61a5"},"schema_version":"1.0"},"canonical_sha256":"e7f6b7ab91b3dc7dd373b7a4ad5a78d6bf807d6c1d0c3d5b407847f651a8437d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:00.948730Z","signature_b64":"VRvJsmj/Ae/IEUzLgmdGQZRUOBwyKBmIx+Z7GgqQUWOqIXtE008rb5UiORxYosKIkjQgQNo99O4bewtM1Y4bAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7f6b7ab91b3dc7dd373b7a4ad5a78d6bf807d6c1d0c3d5b407847f651a8437d","last_reissued_at":"2026-07-05T11:06:00.948288Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:00.948288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.14405","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":"2026-07-05T11:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1LeXCb+cIiZ3dMl1HLjxO4CrjO1ojjD1I+uq+M3FprTQ7aIsZqS4r7a2DQuh4N3le2Te3va2zj90OJjKOLq7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:54:39.479700Z"},"content_sha256":"34cd16c46fe271898d6f5f6281e632b74b004c2cc955c815a3256f8cc921b6d1","schema_version":"1.0","event_id":"sha256:34cd16c46fe271898d6f5f6281e632b74b004c2cc955c815a3256f8cc921b6d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:473LPK4RWPOH3U3TW6SK2WTY22","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bing Qin, Hui Su, Jiafeng Liang, Jinlan Fu, Ming Liu, Ning Wang, See-kiong Ng, Shixin Jiang, Xuan Dong, Zheng Chu","submitted_at":"2025-05-20T14:18:56Z","abstract_excerpt":"Large Multimodal Models (LMMs) have recently demonstrated impressive performance on general video comprehension benchmarks. Nevertheless, for broader applications, the robustness of their temporal analysis capability needs to be thoroughly investigated yet predominantly ignored. Motivated by this, we propose a novel temporal robustness benchmark (TemRobBench), which introduces temporal inconsistency perturbations separately at the visual and textual modalities to assess the robustness of models. We evaluate 16 mainstream LMMs and find that they exhibit over-reliance on prior knowledge and text"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14405","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/2505.14405/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":"2026-07-05T11:06:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uoynicrO4SsJT+0ZoZut3u+ddFYilXIQUokt+JAm/5jqQvVN7bthlUYf/4BW3IwGXuIqayEFvUL5dDDvNyrxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:54:39.480582Z"},"content_sha256":"765a89d00c03a038efa0224465eb9454bce53cb15964a98854c79e688875cc0a","schema_version":"1.0","event_id":"sha256:765a89d00c03a038efa0224465eb9454bce53cb15964a98854c79e688875cc0a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/473LPK4RWPOH3U3TW6SK2WTY22/bundle.json","state_url":"https://pith.science/pith/473LPK4RWPOH3U3TW6SK2WTY22/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/473LPK4RWPOH3U3TW6SK2WTY22/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":"2026-08-08T13:54:39Z","links":{"resolver":"https://pith.science/pith/473LPK4RWPOH3U3TW6SK2WTY22","bundle":"https://pith.science/pith/473LPK4RWPOH3U3TW6SK2WTY22/bundle.json","state":"https://pith.science/pith/473LPK4RWPOH3U3TW6SK2WTY22/state.json","well_known_bundle":"https://pith.science/.well-known/pith/473LPK4RWPOH3U3TW6SK2WTY22/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:473LPK4RWPOH3U3TW6SK2WTY22","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":"a84a3d540f31ed9ed0afd0da140d8e80b1a67ec817e7b1036bf3b2b8796d61a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-20T14:18:56Z","title_canon_sha256":"e28d7b6f1f1ecd416feacc054f13fbc272e97103d0c3969c425d9e5a2d14aa94"},"schema_version":"1.0","source":{"id":"2505.14405","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14405","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14405v1","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14405","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_12","alias_value":"473LPK4RWPOH","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_16","alias_value":"473LPK4RWPOH3U3T","created_at":"2026-07-05T11:06:00Z"},{"alias_kind":"pith_short_8","alias_value":"473LPK4R","created_at":"2026-07-05T11:06:00Z"}],"graph_snapshots":[{"event_id":"sha256:765a89d00c03a038efa0224465eb9454bce53cb15964a98854c79e688875cc0a","target":"graph","created_at":"2026-07-05T11:06:00Z","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/2505.14405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Multimodal Models (LMMs) have recently demonstrated impressive performance on general video comprehension benchmarks. Nevertheless, for broader applications, the robustness of their temporal analysis capability needs to be thoroughly investigated yet predominantly ignored. Motivated by this, we propose a novel temporal robustness benchmark (TemRobBench), which introduces temporal inconsistency perturbations separately at the visual and textual modalities to assess the robustness of models. We evaluate 16 mainstream LMMs and find that they exhibit over-reliance on prior knowledge and text","authors_text":"Bing Qin, Hui Su, Jiafeng Liang, Jinlan Fu, Ming Liu, Ning Wang, See-kiong Ng, Shixin Jiang, Xuan Dong, Zheng Chu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-20T14:18:56Z","title":"Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14405","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":"sha256:34cd16c46fe271898d6f5f6281e632b74b004c2cc955c815a3256f8cc921b6d1","target":"record","created_at":"2026-07-05T11:06:00Z","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":"a84a3d540f31ed9ed0afd0da140d8e80b1a67ec817e7b1036bf3b2b8796d61a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-20T14:18:56Z","title_canon_sha256":"e28d7b6f1f1ecd416feacc054f13fbc272e97103d0c3969c425d9e5a2d14aa94"},"schema_version":"1.0","source":{"id":"2505.14405","kind":"arxiv","version":1}},"canonical_sha256":"e7f6b7ab91b3dc7dd373b7a4ad5a78d6bf807d6c1d0c3d5b407847f651a8437d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7f6b7ab91b3dc7dd373b7a4ad5a78d6bf807d6c1d0c3d5b407847f651a8437d","first_computed_at":"2026-07-05T11:06:00.948288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:00.948288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VRvJsmj/Ae/IEUzLgmdGQZRUOBwyKBmIx+Z7GgqQUWOqIXtE008rb5UiORxYosKIkjQgQNo99O4bewtM1Y4bAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:00.948730Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14405","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34cd16c46fe271898d6f5f6281e632b74b004c2cc955c815a3256f8cc921b6d1","sha256:765a89d00c03a038efa0224465eb9454bce53cb15964a98854c79e688875cc0a"],"state_sha256":"85ee5f51928b4c8a2ac25474a679494854e6c490694276c6caf1e2a4ce124d9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"55SMcIGr2rhPPtBrQVS7lLPiO7vPUsUZDgvtQKc2DjJ7wDBTb+anSo9IOxIKNlpONujPnp/vy4h63YDlo28hDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:54:39.486114Z","bundle_sha256":"81f377c81cba74f758adab948269e97ee8fcfa41a7adcf95c0d9a1c8e48071c9"}}