{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:H7WRB6W2TINJJCLLJU6BVXSV5C","short_pith_number":"pith:H7WRB6W2","canonical_record":{"source":{"id":"2403.08755","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T17:53:47Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"47a708a5e47a310dc2870faf7dc47564122ab7fd0c5bf22cd00341ad0590402d","abstract_canon_sha256":"5f6ca98d62e77f44f100df9e5154a5ad3bddff924041b1d54bf092ce4853a99e"},"schema_version":"1.0"},"canonical_sha256":"3fed10fada9a1a94896b4d3c1ade55e895918dca288e9f758ef659eb77942352","source":{"kind":"arxiv","id":"2403.08755","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08755","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08755v2","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08755","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_12","alias_value":"H7WRB6W2TINJ","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_16","alias_value":"H7WRB6W2TINJJCLL","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_8","alias_value":"H7WRB6W2","created_at":"2026-07-05T08:11:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:H7WRB6W2TINJJCLLJU6BVXSV5C","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08755","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T17:53:47Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"47a708a5e47a310dc2870faf7dc47564122ab7fd0c5bf22cd00341ad0590402d","abstract_canon_sha256":"5f6ca98d62e77f44f100df9e5154a5ad3bddff924041b1d54bf092ce4853a99e"},"schema_version":"1.0"},"canonical_sha256":"3fed10fada9a1a94896b4d3c1ade55e895918dca288e9f758ef659eb77942352","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:11:02.453557Z","signature_b64":"Tw0YcqxCX2bEIKxOKBilExo1sMszMvklkU+VkPgRBUuVWm4kTGIL/M3Zih6db0Wg2OAWw8gHTLyZ00LnhclkCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fed10fada9a1a94896b4d3c1ade55e895918dca288e9f758ef659eb77942352","last_reissued_at":"2026-07-05T08:11:02.453081Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:11:02.453081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08755","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":"2026-07-05T08:11:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5bPI0pcFhkqJGRu7QPzvPvrLHKFWHpr3DkPB5ZDQJNQ36mJw2aNNegNYWXtMFYv5+06QJ5y0tx4GpAYLdVOZDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:14:36.056450Z"},"content_sha256":"94b8b2dc8101c2fa8dbb71e215cb2052cf7f365180fe66c792251b738fafb3a0","schema_version":"1.0","event_id":"sha256:94b8b2dc8101c2fa8dbb71e215cb2052cf7f365180fe66c792251b738fafb3a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:H7WRB6W2TINJJCLLJU6BVXSV5C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DAM: Dynamic Adapter Merging for Continual Video QA Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.CV","authors_text":"Feng Cheng, Gedas Bertasius, Mohit Bansal, Yan-Bo Lin, Yi-Lin Sung, Ziyang Wang","submitted_at":"2024-03-13T17:53:47Z","abstract_excerpt":"We present a parameter-efficient method for continual video question-answering (VidQA) learning. Our method, named DAM, uses the proposed Dynamic Adapter Merging to (i) mitigate catastrophic forgetting, (ii) enable efficient adaptation to continually arriving datasets, (iii) handle inputs from unknown datasets during inference, and (iv) enable knowledge sharing across similar dataset domains. Given a set of continually streaming VidQA datasets, we sequentially train dataset-specific adapters for each dataset while freezing the parameters of a large pretrained video-language backbone. During in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08755","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/2403.08755/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":"2026-07-05T08:11:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b5dNjzp93DqpNYS+btMz7g8zQFnhdnCqdMk1QYCVfmmfbpLOABJMS47BeRfDO45ohjVfB86XQdMJ0343QbG0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:14:36.057054Z"},"content_sha256":"935c0e3df21fe79f219104923572cb04b33148feb7c6c3514d6f1e5973a556b1","schema_version":"1.0","event_id":"sha256:935c0e3df21fe79f219104923572cb04b33148feb7c6c3514d6f1e5973a556b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/bundle.json","state_url":"https://pith.science/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/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":"2026-08-07T17:14:36Z","links":{"resolver":"https://pith.science/pith/H7WRB6W2TINJJCLLJU6BVXSV5C","bundle":"https://pith.science/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/bundle.json","state":"https://pith.science/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7WRB6W2TINJJCLLJU6BVXSV5C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H7WRB6W2TINJJCLLJU6BVXSV5C","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":"5f6ca98d62e77f44f100df9e5154a5ad3bddff924041b1d54bf092ce4853a99e","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T17:53:47Z","title_canon_sha256":"47a708a5e47a310dc2870faf7dc47564122ab7fd0c5bf22cd00341ad0590402d"},"schema_version":"1.0","source":{"id":"2403.08755","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08755","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08755v2","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08755","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_12","alias_value":"H7WRB6W2TINJ","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_16","alias_value":"H7WRB6W2TINJJCLL","created_at":"2026-07-05T08:11:02Z"},{"alias_kind":"pith_short_8","alias_value":"H7WRB6W2","created_at":"2026-07-05T08:11:02Z"}],"graph_snapshots":[{"event_id":"sha256:935c0e3df21fe79f219104923572cb04b33148feb7c6c3514d6f1e5973a556b1","target":"graph","created_at":"2026-07-05T08:11:02Z","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/2403.08755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a parameter-efficient method for continual video question-answering (VidQA) learning. Our method, named DAM, uses the proposed Dynamic Adapter Merging to (i) mitigate catastrophic forgetting, (ii) enable efficient adaptation to continually arriving datasets, (iii) handle inputs from unknown datasets during inference, and (iv) enable knowledge sharing across similar dataset domains. Given a set of continually streaming VidQA datasets, we sequentially train dataset-specific adapters for each dataset while freezing the parameters of a large pretrained video-language backbone. During in","authors_text":"Feng Cheng, Gedas Bertasius, Mohit Bansal, Yan-Bo Lin, Yi-Lin Sung, Ziyang Wang","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T17:53:47Z","title":"DAM: Dynamic Adapter Merging for Continual Video QA Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08755","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":"sha256:94b8b2dc8101c2fa8dbb71e215cb2052cf7f365180fe66c792251b738fafb3a0","target":"record","created_at":"2026-07-05T08:11:02Z","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":"5f6ca98d62e77f44f100df9e5154a5ad3bddff924041b1d54bf092ce4853a99e","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T17:53:47Z","title_canon_sha256":"47a708a5e47a310dc2870faf7dc47564122ab7fd0c5bf22cd00341ad0590402d"},"schema_version":"1.0","source":{"id":"2403.08755","kind":"arxiv","version":2}},"canonical_sha256":"3fed10fada9a1a94896b4d3c1ade55e895918dca288e9f758ef659eb77942352","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fed10fada9a1a94896b4d3c1ade55e895918dca288e9f758ef659eb77942352","first_computed_at":"2026-07-05T08:11:02.453081Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:02.453081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tw0YcqxCX2bEIKxOKBilExo1sMszMvklkU+VkPgRBUuVWm4kTGIL/M3Zih6db0Wg2OAWw8gHTLyZ00LnhclkCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:02.453557Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08755","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94b8b2dc8101c2fa8dbb71e215cb2052cf7f365180fe66c792251b738fafb3a0","sha256:935c0e3df21fe79f219104923572cb04b33148feb7c6c3514d6f1e5973a556b1"],"state_sha256":"162ec5e02575e559b7d09e66b2e9f1f08523a90586470bfbefb85040217f2e7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WH2bolBovG4iijFeB1CUwjh0Rw8c1rDT30L3B0X8EnIARxYrdFpCQnvPXTMfDcX3d0diX5RuaTznwz3nliExCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:14:36.061599Z","bundle_sha256":"5561023982659e19870a6019d836ac2454755149f0d481ea5a1d8bce37ad124f"}}