{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PXXPHPZIKJ6VSII5N72Z4KIPYE","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":"71c14f599d5b7df8aefa1a31a2f520ab589d33ee430a0b70c8c5347a2937159e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-06T02:47:56Z","title_canon_sha256":"ba4231962c45c944eb0a98b3313528f538c75b6f572007aadcdadf9ec3965a25"},"schema_version":"1.0","source":{"id":"2312.03248","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03248","created_at":"2026-07-05T07:21:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03248v1","created_at":"2026-07-05T07:21:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03248","created_at":"2026-07-05T07:21:00Z"},{"alias_kind":"pith_short_12","alias_value":"PXXPHPZIKJ6V","created_at":"2026-07-05T07:21:00Z"},{"alias_kind":"pith_short_16","alias_value":"PXXPHPZIKJ6VSII5","created_at":"2026-07-05T07:21:00Z"},{"alias_kind":"pith_short_8","alias_value":"PXXPHPZI","created_at":"2026-07-05T07:21:00Z"}],"graph_snapshots":[{"event_id":"sha256:97dc9f1f86ed2922132b4f046fc7c2874f6e59d28fbadeda068fe2aeca97bb22","target":"graph","created_at":"2026-07-05T07:21:00Z","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/2312.03248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modular and composable transfer learning is an emerging direction in the field of Parameter Efficient Fine-Tuning, as it enables neural networks to better organize various aspects of knowledge, leading to improved cross-task generalization. In this paper, we introduce a novel approach Customized Polytropon C-Poly that combines task-common skills and task-specific skills, while the skill parameters being highly parameterized using low-rank techniques. Each task is associated with a customizable number of exclusive specialized skills and also benefits from skills shared with peer tasks. A skill ","authors_text":"Cong Fan, Haowen Wang, Jinjie Gu, Tao Sun","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-06T02:47:56Z","title":"Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03248","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:c0defd192fc544517777985ead3dc6895bce5d871542acb282d6f4e42994614f","target":"record","created_at":"2026-07-05T07:21:00Z","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":"71c14f599d5b7df8aefa1a31a2f520ab589d33ee430a0b70c8c5347a2937159e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-06T02:47:56Z","title_canon_sha256":"ba4231962c45c944eb0a98b3313528f538c75b6f572007aadcdadf9ec3965a25"},"schema_version":"1.0","source":{"id":"2312.03248","kind":"arxiv","version":1}},"canonical_sha256":"7deef3bf28527d59211d6ff59e290fc132c8e732e4bb832b66ac69f9130ce297","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7deef3bf28527d59211d6ff59e290fc132c8e732e4bb832b66ac69f9130ce297","first_computed_at":"2026-07-05T07:21:00.720868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:00.720868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9TB3GEX5IWOy0nn3Y6mKUXC3xYve0sKKHdKdDPRfkp4UyNWMCnudy+0L36n9BvDxiBp7S3CkfoemgksS0iDyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:00.721365Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03248","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0defd192fc544517777985ead3dc6895bce5d871542acb282d6f4e42994614f","sha256:97dc9f1f86ed2922132b4f046fc7c2874f6e59d28fbadeda068fe2aeca97bb22"],"state_sha256":"8d8558549720e46b36e3bb0439d0e934a5a350aa65d3c07238e19c3748eefbc8"}