{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:L2QBZSOICXYGFML3OL76UIFEDR","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":"b4ce662eb59f919788b138961267fe9016f6867a1021e00046d5cf3ab238c82f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T19:19:25Z","title_canon_sha256":"41ad74f4784ba96a7a84f2f26b6d237b3288f253658b0edf0d6dbbe1a738e453"},"schema_version":"1.0","source":{"id":"2312.05269","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05269","created_at":"2026-07-05T09:31:29Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05269v3","created_at":"2026-07-05T09:31:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05269","created_at":"2026-07-05T09:31:29Z"},{"alias_kind":"pith_short_12","alias_value":"L2QBZSOICXYG","created_at":"2026-07-05T09:31:29Z"},{"alias_kind":"pith_short_16","alias_value":"L2QBZSOICXYGFML3","created_at":"2026-07-05T09:31:29Z"},{"alias_kind":"pith_short_8","alias_value":"L2QBZSOI","created_at":"2026-07-05T09:31:29Z"}],"graph_snapshots":[{"event_id":"sha256:5addb425fd2b7249d5ee30b4107ea59afd1a288617c72a6e7c157e75421ad907","target":"graph","created_at":"2026-07-05T09:31:29Z","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/2312.05269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we introduce LifelongMemory, a new framework for accessing long-form egocentric videographic memory through natural language question answering and retrieval. LifelongMemory generates concise video activity descriptions of the camera wearer and leverages the zero-shot capabilities of pretrained large language models to perform reasoning over long-form video context. Furthermore, LifelongMemory uses a confidence and explanation module to produce confident, high-quality, and interpretable answers. Our approach achieves state-of-the-art performance on the EgoSchema benchmark for que","authors_text":"Mengye Ren, Yanlai Yang, Ying Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T19:19:25Z","title":"LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05269","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":"sha256:1c32d37e352341f8373c3db3f47aa8f012f852163f206a8100a90b9e68312987","target":"record","created_at":"2026-07-05T09:31:29Z","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":"b4ce662eb59f919788b138961267fe9016f6867a1021e00046d5cf3ab238c82f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T19:19:25Z","title_canon_sha256":"41ad74f4784ba96a7a84f2f26b6d237b3288f253658b0edf0d6dbbe1a738e453"},"schema_version":"1.0","source":{"id":"2312.05269","kind":"arxiv","version":3}},"canonical_sha256":"5ea01cc9c815f062b17b72ffea20a41c558c294e917de5264c0482248358fd2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ea01cc9c815f062b17b72ffea20a41c558c294e917de5264c0482248358fd2d","first_computed_at":"2026-07-05T09:31:29.229852Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:29.229852Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GRTlf3Y1V82jrBTtfwfQ/h6kj2OTTXk/fo4rXojhLQVprwcLljLg4bWMODWLTE0gaTWDaK/Fh95wuao5hqtqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:29.231909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05269","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c32d37e352341f8373c3db3f47aa8f012f852163f206a8100a90b9e68312987","sha256:5addb425fd2b7249d5ee30b4107ea59afd1a288617c72a6e7c157e75421ad907"],"state_sha256":"18033075feb20bb6156f7680f81d21f353b81003677e3be86dc4c9e410912bd4"}