{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I6F2VRWPMN5IRU2KTPYTRG33SE","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":"1538156742e5822ebe165425bb5b0005bf12519f8b9be52e5527d610c8d3ab18","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T04:30:51Z","title_canon_sha256":"a013b36a9bb6e8323e6faf1a657db2ffb64e6636949c06a9171f44da21be3791"},"schema_version":"1.0","source":{"id":"2607.01689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01689","created_at":"2026-07-03T01:17:26Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01689v1","created_at":"2026-07-03T01:17:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01689","created_at":"2026-07-03T01:17:26Z"},{"alias_kind":"pith_short_12","alias_value":"I6F2VRWPMN5I","created_at":"2026-07-03T01:17:26Z"},{"alias_kind":"pith_short_16","alias_value":"I6F2VRWPMN5IRU2K","created_at":"2026-07-03T01:17:26Z"},{"alias_kind":"pith_short_8","alias_value":"I6F2VRWP","created_at":"2026-07-03T01:17:26Z"}],"graph_snapshots":[{"event_id":"sha256:986b2442d00550943b66604b173de099dd88cd312564c4b9a6c2589b481ddff3","target":"graph","created_at":"2026-07-03T01:17:26Z","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/2607.01689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model merging aims to combine existing single-task solutions into a multi-task solution without additional data-driven fine-tuning.~Most existing approaches achieve this using geometric properties of local solution spaces. However, such geometric views provide limited guidance for scoring how statistically useful each task-specific update direction is across tasks during merging. To address this, we formulate model merging from a new perspective of probabilistic inference under a product-of-experts (PoE) scenario where each single-task solution defines an energy-based expert model (EBM) over t","authors_text":"Jana Doppa, Long Minh Bui, Phi Le Nguyen, Trong Nghia Hoang, Tuan Anh Le Van, Tung Phi Duc","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T04:30:51Z","title":"Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01689","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":"sha256:6526e098419083c7e2670dbc801c679743d3b0dc6a3523fa0995562af73df8ef","target":"record","created_at":"2026-07-03T01:17:26Z","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":"1538156742e5822ebe165425bb5b0005bf12519f8b9be52e5527d610c8d3ab18","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-02T04:30:51Z","title_canon_sha256":"a013b36a9bb6e8323e6faf1a657db2ffb64e6636949c06a9171f44da21be3791"},"schema_version":"1.0","source":{"id":"2607.01689","kind":"arxiv","version":1}},"canonical_sha256":"478baac6cf637a88d34a9bf1389b7b9114ebb299ac49fb58052702595bed33ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"478baac6cf637a88d34a9bf1389b7b9114ebb299ac49fb58052702595bed33ae","first_computed_at":"2026-07-03T01:17:26.859242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:26.859242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nrfyq8YAS5fyNNyn/mkHTiwzcMBZvfYuD1Xu3SMNTLKabG3zihsiEbn1TkjRXSfvpW3PNOpO1zXEW2TG8g7vDw==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:26.859707Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6526e098419083c7e2670dbc801c679743d3b0dc6a3523fa0995562af73df8ef","sha256:986b2442d00550943b66604b173de099dd88cd312564c4b9a6c2589b481ddff3"],"state_sha256":"eb63672e6443fb6683c980e99753029953c32922747f8fff290e04c3e2790849"}