{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IEILEIAXS6S577OEX3ZTPAYL4L","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":"40fdcb7940c1e21af4f602d1be792faf592901f82dec8893e76764696e68ebbf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T06:51:46Z","title_canon_sha256":"fcbecfc29a5cac4015f0d90e124ae38ac38cd70cee977daddff0011028db3a58"},"schema_version":"1.0","source":{"id":"2310.07234","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07234","created_at":"2026-07-05T06:59:42Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07234v1","created_at":"2026-07-05T06:59:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07234","created_at":"2026-07-05T06:59:42Z"},{"alias_kind":"pith_short_12","alias_value":"IEILEIAXS6S5","created_at":"2026-07-05T06:59:42Z"},{"alias_kind":"pith_short_16","alias_value":"IEILEIAXS6S577OE","created_at":"2026-07-05T06:59:42Z"},{"alias_kind":"pith_short_8","alias_value":"IEILEIAX","created_at":"2026-07-05T06:59:42Z"}],"graph_snapshots":[{"event_id":"sha256:fe103b6b25d7463d4b302765f67cfa49e976a1c9edfd01a67aa34d3d7abe28bd","target":"graph","created_at":"2026-07-05T06:59:42Z","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/2310.07234/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt-based continual learning is an emerging direction in leveraging pre-trained knowledge for downstream continual learning, and has almost reached the performance pinnacle under supervised pre-training. However, our empirical research reveals that the current strategies fall short of their full potential under the more realistic self-supervised pre-training, which is essential for handling vast quantities of unlabeled data in practice. This is largely due to the difficulty of task-specific knowledge being incorporated into instructed representations via prompt parameters and predicted by u","authors_text":"Hang Su, Jingyi Xie, Jun Zhu, Liyuan Wang, Mingyi Huang, Xingxing Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T06:51:46Z","title":"Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07234","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:a1c745a3702d221a0f72cb1720d64bc80269f4ae14460723e5baffdd88719848","target":"record","created_at":"2026-07-05T06:59:42Z","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":"40fdcb7940c1e21af4f602d1be792faf592901f82dec8893e76764696e68ebbf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T06:51:46Z","title_canon_sha256":"fcbecfc29a5cac4015f0d90e124ae38ac38cd70cee977daddff0011028db3a58"},"schema_version":"1.0","source":{"id":"2310.07234","kind":"arxiv","version":1}},"canonical_sha256":"4110b2201797a5dffdc4bef337830be2ff9089c04045125daab5c732865b58b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4110b2201797a5dffdc4bef337830be2ff9089c04045125daab5c732865b58b9","first_computed_at":"2026-07-05T06:59:42.427476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:59:42.427476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FrY3tD+Xezm2a4+xviOInDjLlhqYTgJwGz/T+O1PJJrz6HeFDHYpEEjICOlyAOoHhseLIzqahN0nJ74dySU7CA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:59:42.427868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.07234","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1c745a3702d221a0f72cb1720d64bc80269f4ae14460723e5baffdd88719848","sha256:fe103b6b25d7463d4b302765f67cfa49e976a1c9edfd01a67aa34d3d7abe28bd"],"state_sha256":"9bad06269bab5f0182da8054a1ac3a7233620fddade09b5b546c08b1c559676f"}