{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OTK53WRS5WWGEKM6G3PHYVUUWF","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":"fcc8bef8ac70d33c51a810af6944813ed53cb88cc1e6a1d1f49593271c6b8205","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T10:15:18Z","title_canon_sha256":"e0e150dd6c04d55dd555c5b07f750745c6b0e6b46e315803cadc39108ec07b8f"},"schema_version":"1.0","source":{"id":"2502.12706","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12706","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12706v2","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12706","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"OTK53WRS5WWG","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_16","alias_value":"OTK53WRS5WWGEKM6","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_8","alias_value":"OTK53WRS","created_at":"2026-07-05T11:10:05Z"}],"graph_snapshots":[{"event_id":"sha256:2549238222bc4f976065e9f5dc5814f4d00e20bf176ad608dcc76cf29443f1ac","target":"graph","created_at":"2026-07-05T11:10:05Z","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/2502.12706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model merging offers an effective way to integrate the capabilities of multiple fine-tuned models. However, the performance degradation of the merged model remains a challenge, particularly when none or few data are available. This paper first highlights the necessity of domain-specific data for model merging by proving that data-agnostic algorithms can have arbitrarily bad worst-case performance. Building on this theoretical insight, we explore the relationship between model merging and distillation, introducing a novel few-shot merging algorithm, ProDistill (Progressive Layer-wise Distillati","authors_text":"Jiazheng Li, Jing Xu, Jingzhao Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T10:15:18Z","title":"Scalable Model Merging with Progressive Layer-wise Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12706","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":"sha256:3e2ece2f4ea5734251d89ed339ac735184fe4cf0160d24531146d0e6fa22d263","target":"record","created_at":"2026-07-05T11:10:05Z","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":"fcc8bef8ac70d33c51a810af6944813ed53cb88cc1e6a1d1f49593271c6b8205","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T10:15:18Z","title_canon_sha256":"e0e150dd6c04d55dd555c5b07f750745c6b0e6b46e315803cadc39108ec07b8f"},"schema_version":"1.0","source":{"id":"2502.12706","kind":"arxiv","version":2}},"canonical_sha256":"74d5ddda32edac62299e36de7c5694b179c3a3b3188ed232ad4f8aa3d1c64ed0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74d5ddda32edac62299e36de7c5694b179c3a3b3188ed232ad4f8aa3d1c64ed0","first_computed_at":"2026-07-05T11:10:05.111651Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:05.111651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VOs8JLRQl0CZ0i47ViXZKm0FKLObBQUE9dUsb1LNgFp3BgAM8UQ4+n+89PiuwOw7EobjrY8wGRuMqJc1mwu5Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:05.112161Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12706","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e2ece2f4ea5734251d89ed339ac735184fe4cf0160d24531146d0e6fa22d263","sha256:2549238222bc4f976065e9f5dc5814f4d00e20bf176ad608dcc76cf29443f1ac"],"state_sha256":"3f2eeed493bb2140f032ff082910314cb80014b5e1642f94a37bd8796acc5462"}