{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XUNIMG5W5QCZB7H3ZN77L7VG62","short_pith_number":"pith:XUNIMG5W","canonical_record":{"source":{"id":"2410.05899","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T10:56:19Z","cross_cats_sorted":[],"title_canon_sha256":"6fb75cacd8c9aff33b37df3595c7f3deb6071bcbd1e2b39231cdaecfafc6d625","abstract_canon_sha256":"67d30049d789d53d3fc24e934dbcc30f83739b7ba117a2f06798740540f1ab45"},"schema_version":"1.0"},"canonical_sha256":"bd1a861bb6ec0590fcfbcb7ff5fea6f68da28191df877f5ff9067e1b88d2297e","source":{"kind":"arxiv","id":"2410.05899","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05899","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05899v1","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05899","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"XUNIMG5W5QCZ","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_16","alias_value":"XUNIMG5W5QCZB7H3","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_8","alias_value":"XUNIMG5W","created_at":"2026-07-05T09:17:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XUNIMG5W5QCZB7H3ZN77L7VG62","target":"record","payload":{"canonical_record":{"source":{"id":"2410.05899","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T10:56:19Z","cross_cats_sorted":[],"title_canon_sha256":"6fb75cacd8c9aff33b37df3595c7f3deb6071bcbd1e2b39231cdaecfafc6d625","abstract_canon_sha256":"67d30049d789d53d3fc24e934dbcc30f83739b7ba117a2f06798740540f1ab45"},"schema_version":"1.0"},"canonical_sha256":"bd1a861bb6ec0590fcfbcb7ff5fea6f68da28191df877f5ff9067e1b88d2297e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:17:52.525912Z","signature_b64":"2h2k6FgmkJM9QIaSyciWnueCaY37tiwrTSeaeXZHM8qH2/YO07PLYBnfcoQJ7HV9rhu7zH/1Hmql3OGOKqK1AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd1a861bb6ec0590fcfbcb7ff5fea6f68da28191df877f5ff9067e1b88d2297e","last_reissued_at":"2026-07-05T09:17:52.525492Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:17:52.525492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.05899","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":"2026-07-05T09:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gWr0qmfOyCxBmFHuPvp1GWPpmcPBu/W69sbYCS3KZSrbQGBcPbZdJbFkSzfk8pJH+2PdK0o31AFGpr2Li7JkBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:06:52.823639Z"},"content_sha256":"44e957ef73480d271656025ccb3eefc51c931d12ea8cb8f353aff824fe37eee9","schema_version":"1.0","event_id":"sha256:44e957ef73480d271656025ccb3eefc51c931d12ea8cb8f353aff824fe37eee9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XUNIMG5W5QCZB7H3ZN77L7VG62","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Brain-inspired continual pre-trained learner via silent synaptic consolidation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dianbo Liu, Juntao Yao, Mingkun Xu, Xuming Ran, Yusong Wang","submitted_at":"2024-10-08T10:56:19Z","abstract_excerpt":"Pre-trained models have demonstrated impressive generalization capabilities, yet they remain vulnerable to catastrophic forgetting when incrementally trained on new tasks. Existing architecture-based strategies encounter two primary challenges: 1) Integrating a pre-trained network with a trainable sub-network complicates the delicate balance between learning plasticity and memory stability across evolving tasks during learning. 2) The absence of robust interconnections between pre-trained networks and various sub-networks limits the effective retrieval of pertinent information during inference"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05899","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/2410.05899/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":"2026-07-05T09:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h6h2gQuhkMZHS4qqbkVl8ZEK4r5W0SmXdFBOHo0qR5CmupLnaEBg5SvrEz5kL4xfKqPjeP3WusiA9lF8NLvgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:06:52.824202Z"},"content_sha256":"57feba2fe4042e91b574d367bcdc120ca56583923d765b1a140009b32e8e06ab","schema_version":"1.0","event_id":"sha256:57feba2fe4042e91b574d367bcdc120ca56583923d765b1a140009b32e8e06ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/bundle.json","state_url":"https://pith.science/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/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":"2026-07-31T20:06:52Z","links":{"resolver":"https://pith.science/pith/XUNIMG5W5QCZB7H3ZN77L7VG62","bundle":"https://pith.science/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/bundle.json","state":"https://pith.science/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XUNIMG5W5QCZB7H3ZN77L7VG62/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XUNIMG5W5QCZB7H3ZN77L7VG62","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":"67d30049d789d53d3fc24e934dbcc30f83739b7ba117a2f06798740540f1ab45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T10:56:19Z","title_canon_sha256":"6fb75cacd8c9aff33b37df3595c7f3deb6071bcbd1e2b39231cdaecfafc6d625"},"schema_version":"1.0","source":{"id":"2410.05899","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05899","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05899v1","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05899","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"XUNIMG5W5QCZ","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_16","alias_value":"XUNIMG5W5QCZB7H3","created_at":"2026-07-05T09:17:52Z"},{"alias_kind":"pith_short_8","alias_value":"XUNIMG5W","created_at":"2026-07-05T09:17:52Z"}],"graph_snapshots":[{"event_id":"sha256:57feba2fe4042e91b574d367bcdc120ca56583923d765b1a140009b32e8e06ab","target":"graph","created_at":"2026-07-05T09:17:52Z","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/2410.05899/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pre-trained models have demonstrated impressive generalization capabilities, yet they remain vulnerable to catastrophic forgetting when incrementally trained on new tasks. Existing architecture-based strategies encounter two primary challenges: 1) Integrating a pre-trained network with a trainable sub-network complicates the delicate balance between learning plasticity and memory stability across evolving tasks during learning. 2) The absence of robust interconnections between pre-trained networks and various sub-networks limits the effective retrieval of pertinent information during inference","authors_text":"Dianbo Liu, Juntao Yao, Mingkun Xu, Xuming Ran, Yusong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T10:56:19Z","title":"Brain-inspired continual pre-trained learner via silent synaptic consolidation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05899","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":"sha256:44e957ef73480d271656025ccb3eefc51c931d12ea8cb8f353aff824fe37eee9","target":"record","created_at":"2026-07-05T09:17:52Z","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":"67d30049d789d53d3fc24e934dbcc30f83739b7ba117a2f06798740540f1ab45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-08T10:56:19Z","title_canon_sha256":"6fb75cacd8c9aff33b37df3595c7f3deb6071bcbd1e2b39231cdaecfafc6d625"},"schema_version":"1.0","source":{"id":"2410.05899","kind":"arxiv","version":1}},"canonical_sha256":"bd1a861bb6ec0590fcfbcb7ff5fea6f68da28191df877f5ff9067e1b88d2297e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd1a861bb6ec0590fcfbcb7ff5fea6f68da28191df877f5ff9067e1b88d2297e","first_computed_at":"2026-07-05T09:17:52.525492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:52.525492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2h2k6FgmkJM9QIaSyciWnueCaY37tiwrTSeaeXZHM8qH2/YO07PLYBnfcoQJ7HV9rhu7zH/1Hmql3OGOKqK1AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:52.525912Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.05899","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44e957ef73480d271656025ccb3eefc51c931d12ea8cb8f353aff824fe37eee9","sha256:57feba2fe4042e91b574d367bcdc120ca56583923d765b1a140009b32e8e06ab"],"state_sha256":"e50c33dd0dabbd7454f17afa28285e40b0391b2531141d991e3557606446f7cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sX1necMNij9VMj3rK0Ig18qVbAD4w17PLV93Klk6U9jlozZwzthwK3Qnfjbln1P/P6+vpWDyu1rUspUX9mACDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T20:06:52.829195Z","bundle_sha256":"ea9ba850a6125e3cbee5f2a39ecd51e76a22ecea77dbf64976f0c6b205d09e17"}}