{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4ON6DASSJN5D5W2W6DWJJQQUEE","short_pith_number":"pith:4ON6DASS","canonical_record":{"source":{"id":"2410.00771","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T15:07:07Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3f50577461325c8f79c6aa0036acb354d251533b57348750f3c198015c2112fc","abstract_canon_sha256":"18966361bb4606359ac0fad2ba3adc4be1f9093275279e51a29a40e59497bee4"},"schema_version":"1.0"},"canonical_sha256":"e39be182524b7a3edb56f0ec94c21421391a83cb7d0de6addf62ecdc7697b1dc","source":{"kind":"arxiv","id":"2410.00771","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00771","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00771v2","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00771","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"4ON6DASSJN5D","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_16","alias_value":"4ON6DASSJN5D5W2W","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_8","alias_value":"4ON6DASS","created_at":"2026-07-05T10:02:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4ON6DASSJN5D5W2W6DWJJQQUEE","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00771","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T15:07:07Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3f50577461325c8f79c6aa0036acb354d251533b57348750f3c198015c2112fc","abstract_canon_sha256":"18966361bb4606359ac0fad2ba3adc4be1f9093275279e51a29a40e59497bee4"},"schema_version":"1.0"},"canonical_sha256":"e39be182524b7a3edb56f0ec94c21421391a83cb7d0de6addf62ecdc7697b1dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:06.966519Z","signature_b64":"deLHaNCCncGFTz7/Eg5KwfySJgLHm5C6GOyFY94fQQLxxUHKScaPSL0xsZOzSp2pGKqaxJNqGVqjdHZw6kYNCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e39be182524b7a3edb56f0ec94c21421391a83cb7d0de6addf62ecdc7697b1dc","last_reissued_at":"2026-07-05T10:02:06.966092Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:06.966092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00771","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":"2026-07-05T10:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CAdUnAptHe9kfg7cpFuLeR4ONxs6/d9WzmLsFgDxYf2XMEQpnyL8CWtRFzB3fETyInCKorUnCyLAlPAxlXEbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:27:08.244756Z"},"content_sha256":"e7bc9e6ae417dd1be81a6d47fab296350b630aa9640336eea846f02be08252f0","schema_version":"1.0","event_id":"sha256:e7bc9e6ae417dd1be81a6d47fab296350b630aa9640336eea846f02be08252f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4ON6DASSJN5D5W2W6DWJJQQUEE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Chen Cai, Jianjun Gao, Kim-Hui Yap, Runzhong Zhang, Wenyang Liu, Ye Lu, Zheng Wang","submitted_at":"2024-10-01T15:07:07Z","abstract_excerpt":"In recent years, the rapid increase in online video content has underscored the limitations of static Video Question Answering (VideoQA) models trained on fixed datasets, as they struggle to adapt to new questions or tasks posed by newly available content. In this paper, we explore the novel challenge of VideoQA within a continual learning framework, and empirically identify a critical issue: fine-tuning a large language model (LLM) for a sequence of tasks often results in catastrophic forgetting. To address this, we propose Collaborative Prompting (ColPro), which integrates specific question "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00771","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/2410.00771/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":"2026-07-05T10:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r1z5jjJwpwbTmDFs6tPQ7lIm7s8EccL1nNAc7AIPRB/2UF6CQs9wusnSRLVM/olCCc2/PiYp2eIe4ejDe0pKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:27:08.245265Z"},"content_sha256":"ed307333491de0437cd3b66bf7f20602a59dd998aa4cf97878aeccf9f559004f","schema_version":"1.0","event_id":"sha256:ed307333491de0437cd3b66bf7f20602a59dd998aa4cf97878aeccf9f559004f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/bundle.json","state_url":"https://pith.science/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/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":"2026-08-15T05:27:08Z","links":{"resolver":"https://pith.science/pith/4ON6DASSJN5D5W2W6DWJJQQUEE","bundle":"https://pith.science/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/bundle.json","state":"https://pith.science/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ON6DASSJN5D5W2W6DWJJQQUEE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4ON6DASSJN5D5W2W6DWJJQQUEE","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":"18966361bb4606359ac0fad2ba3adc4be1f9093275279e51a29a40e59497bee4","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T15:07:07Z","title_canon_sha256":"3f50577461325c8f79c6aa0036acb354d251533b57348750f3c198015c2112fc"},"schema_version":"1.0","source":{"id":"2410.00771","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00771","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00771v2","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00771","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"4ON6DASSJN5D","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_16","alias_value":"4ON6DASSJN5D5W2W","created_at":"2026-07-05T10:02:06Z"},{"alias_kind":"pith_short_8","alias_value":"4ON6DASS","created_at":"2026-07-05T10:02:06Z"}],"graph_snapshots":[{"event_id":"sha256:ed307333491de0437cd3b66bf7f20602a59dd998aa4cf97878aeccf9f559004f","target":"graph","created_at":"2026-07-05T10:02:06Z","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/2410.00771/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the rapid increase in online video content has underscored the limitations of static Video Question Answering (VideoQA) models trained on fixed datasets, as they struggle to adapt to new questions or tasks posed by newly available content. In this paper, we explore the novel challenge of VideoQA within a continual learning framework, and empirically identify a critical issue: fine-tuning a large language model (LLM) for a sequence of tasks often results in catastrophic forgetting. To address this, we propose Collaborative Prompting (ColPro), which integrates specific question ","authors_text":"Chen Cai, Jianjun Gao, Kim-Hui Yap, Runzhong Zhang, Wenyang Liu, Ye Lu, Zheng Wang","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T15:07:07Z","title":"Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00771","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:e7bc9e6ae417dd1be81a6d47fab296350b630aa9640336eea846f02be08252f0","target":"record","created_at":"2026-07-05T10:02:06Z","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":"18966361bb4606359ac0fad2ba3adc4be1f9093275279e51a29a40e59497bee4","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T15:07:07Z","title_canon_sha256":"3f50577461325c8f79c6aa0036acb354d251533b57348750f3c198015c2112fc"},"schema_version":"1.0","source":{"id":"2410.00771","kind":"arxiv","version":2}},"canonical_sha256":"e39be182524b7a3edb56f0ec94c21421391a83cb7d0de6addf62ecdc7697b1dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e39be182524b7a3edb56f0ec94c21421391a83cb7d0de6addf62ecdc7697b1dc","first_computed_at":"2026-07-05T10:02:06.966092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:06.966092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"deLHaNCCncGFTz7/Eg5KwfySJgLHm5C6GOyFY94fQQLxxUHKScaPSL0xsZOzSp2pGKqaxJNqGVqjdHZw6kYNCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:06.966519Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00771","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7bc9e6ae417dd1be81a6d47fab296350b630aa9640336eea846f02be08252f0","sha256:ed307333491de0437cd3b66bf7f20602a59dd998aa4cf97878aeccf9f559004f"],"state_sha256":"25f1e4c1058f2b70f0b8e6648bc1c32d8818892df07a142ac713d4d210fa1129"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/iJ50Ia89F+xsN++BFGDrEnCM+FQTbW8WA+TjOjX+OpJHmlH7lPr/vYaQRUqYEGvZGfUPEv5HA8yhTzORy2ZCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:27:08.249192Z","bundle_sha256":"0af402ab66a1dc5cf281161d5c43862166e3695352835f3f72ffa469dc0c9ed8"}}