{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TSVKSYRE63ELS3DMEICPVVETII","short_pith_number":"pith:TSVKSYRE","canonical_record":{"source":{"id":"2401.08295","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-16T11:45:03Z","cross_cats_sorted":[],"title_canon_sha256":"de29458b28e1c0a3d70431c695e09277693d0ddd71d2ac4699b525824c5338ec","abstract_canon_sha256":"9a3b08caee5cd930a80b0b08a7ad8065513ebbcd34c26c44af919b17f12bb900"},"schema_version":"1.0"},"canonical_sha256":"9caaa96224f6c8b96c6c2204fad493422ea435df4b1024d56fb51b85ea0cc05e","source":{"kind":"arxiv","id":"2401.08295","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08295","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08295v3","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08295","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_12","alias_value":"TSVKSYRE63EL","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"TSVKSYRE63ELS3DM","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"TSVKSYRE","created_at":"2026-07-05T08:28:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TSVKSYRE63ELS3DMEICPVVETII","target":"record","payload":{"canonical_record":{"source":{"id":"2401.08295","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-16T11:45:03Z","cross_cats_sorted":[],"title_canon_sha256":"de29458b28e1c0a3d70431c695e09277693d0ddd71d2ac4699b525824c5338ec","abstract_canon_sha256":"9a3b08caee5cd930a80b0b08a7ad8065513ebbcd34c26c44af919b17f12bb900"},"schema_version":"1.0"},"canonical_sha256":"9caaa96224f6c8b96c6c2204fad493422ea435df4b1024d56fb51b85ea0cc05e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:04.999837Z","signature_b64":"f+/IUDYiimrc9KlGlk9Z71lS9e7T6/8uVOH1cAtEgAjmsKJHiuGG7MfEX97KGpLH82GEni/tHOlfh3xZYEyLAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9caaa96224f6c8b96c6c2204fad493422ea435df4b1024d56fb51b85ea0cc05e","last_reissued_at":"2026-07-05T08:28:04.999436Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:04.999436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.08295","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":"2026-07-05T08:28:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9VWYbduxPL+RsE3OSGF6AuhY+ZWf7Yqtxp4CNYIBrIhPd39dYFTuWFwVqCeK4xLDDtVpwjUo1EjpZmL0+KW7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T22:04:39.584605Z"},"content_sha256":"a3abb965c088692fa15cebeeee15e6e9c7e14daef7ca13cb55a370e776798004","schema_version":"1.0","event_id":"sha256:a3abb965c088692fa15cebeeee15e6e9c7e14daef7ca13cb55a370e776798004"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TSVKSYRE63ELS3DMEICPVVETII","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bing Qin, Dongliang Xu, Qing Yang, Shilong Wang, Wanxiang Che, Weixiang Zhao, Xuanyu Zhang, Yanyan Zhao, Yulin Hu","submitted_at":"2024-01-16T11:45:03Z","abstract_excerpt":"The continual learning (CL) ability is vital for deploying large language models (LLMs) in the dynamic world. Existing methods devise the learning module to acquire task-specific knowledge with parameter-efficient tuning (PET) block and the selection module to pick out the corresponding one for the testing input, aiming at handling the challenges of catastrophic forgetting and knowledge transfer in CL. However, these methods tend to address only one of the challenges, ignoring the potential of aligning the two modules to effectively address catastrophic forgetting and knowledge transfer simult"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08295","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/2401.08295/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":"2026-07-05T08:28:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hy8fu6NZDSDgSwkscOoiNqQv0eIMfheCvzmRHpFs/Q3nNmI19fLiAdyD+T2ouUEAIFcThfJoKJcDeQMLNeXCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T22:04:39.584972Z"},"content_sha256":"e5bf9c9fbaca2a0271dc9aa6cf7c2fa2062ac0291b3f56b666d519c7fd6d634f","schema_version":"1.0","event_id":"sha256:e5bf9c9fbaca2a0271dc9aa6cf7c2fa2062ac0291b3f56b666d519c7fd6d634f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSVKSYRE63ELS3DMEICPVVETII/bundle.json","state_url":"https://pith.science/pith/TSVKSYRE63ELS3DMEICPVVETII/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSVKSYRE63ELS3DMEICPVVETII/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":"2026-07-10T22:04:39Z","links":{"resolver":"https://pith.science/pith/TSVKSYRE63ELS3DMEICPVVETII","bundle":"https://pith.science/pith/TSVKSYRE63ELS3DMEICPVVETII/bundle.json","state":"https://pith.science/pith/TSVKSYRE63ELS3DMEICPVVETII/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSVKSYRE63ELS3DMEICPVVETII/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TSVKSYRE63ELS3DMEICPVVETII","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":"9a3b08caee5cd930a80b0b08a7ad8065513ebbcd34c26c44af919b17f12bb900","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-16T11:45:03Z","title_canon_sha256":"de29458b28e1c0a3d70431c695e09277693d0ddd71d2ac4699b525824c5338ec"},"schema_version":"1.0","source":{"id":"2401.08295","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08295","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08295v3","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08295","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_12","alias_value":"TSVKSYRE63EL","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"TSVKSYRE63ELS3DM","created_at":"2026-07-05T08:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"TSVKSYRE","created_at":"2026-07-05T08:28:04Z"}],"graph_snapshots":[{"event_id":"sha256:e5bf9c9fbaca2a0271dc9aa6cf7c2fa2062ac0291b3f56b666d519c7fd6d634f","target":"graph","created_at":"2026-07-05T08:28:04Z","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/2401.08295/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The continual learning (CL) ability is vital for deploying large language models (LLMs) in the dynamic world. Existing methods devise the learning module to acquire task-specific knowledge with parameter-efficient tuning (PET) block and the selection module to pick out the corresponding one for the testing input, aiming at handling the challenges of catastrophic forgetting and knowledge transfer in CL. However, these methods tend to address only one of the challenges, ignoring the potential of aligning the two modules to effectively address catastrophic forgetting and knowledge transfer simult","authors_text":"Bing Qin, Dongliang Xu, Qing Yang, Shilong Wang, Wanxiang Che, Weixiang Zhao, Xuanyu Zhang, Yanyan Zhao, Yulin Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-16T11:45:03Z","title":"SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08295","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:a3abb965c088692fa15cebeeee15e6e9c7e14daef7ca13cb55a370e776798004","target":"record","created_at":"2026-07-05T08:28:04Z","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":"9a3b08caee5cd930a80b0b08a7ad8065513ebbcd34c26c44af919b17f12bb900","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-01-16T11:45:03Z","title_canon_sha256":"de29458b28e1c0a3d70431c695e09277693d0ddd71d2ac4699b525824c5338ec"},"schema_version":"1.0","source":{"id":"2401.08295","kind":"arxiv","version":3}},"canonical_sha256":"9caaa96224f6c8b96c6c2204fad493422ea435df4b1024d56fb51b85ea0cc05e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9caaa96224f6c8b96c6c2204fad493422ea435df4b1024d56fb51b85ea0cc05e","first_computed_at":"2026-07-05T08:28:04.999436Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:04.999436Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f+/IUDYiimrc9KlGlk9Z71lS9e7T6/8uVOH1cAtEgAjmsKJHiuGG7MfEX97KGpLH82GEni/tHOlfh3xZYEyLAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:04.999837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08295","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3abb965c088692fa15cebeeee15e6e9c7e14daef7ca13cb55a370e776798004","sha256:e5bf9c9fbaca2a0271dc9aa6cf7c2fa2062ac0291b3f56b666d519c7fd6d634f"],"state_sha256":"b8453d0801fad7cf9fdb4a72455cb59c19f56773177df48fef28697a599e530c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/twKDtZhCplbKDzSR+R8CbxdYhWqydxIzVwe124BygOVnKoOr/zP2kl3Ttf3nzrE8E00D/fL+6aU8G87JAy0BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T22:04:39.588255Z","bundle_sha256":"2cc810520f00946388e6008aba28ba7a6355aa15d04552c1099e740c3b700a7f"}}