{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LRQGXTEMNQ7WSTVTGYYMFB4P23","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":"5b6bee8fa2ee1b0d4f8e358dabb323e53cbbde9878c8f5067617c2354843b623","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T18:59:15Z","title_canon_sha256":"ea2923204b8572033cd7ad3ea2dfb6ad3746ffcdda35fd267398c5370a1e4c82"},"schema_version":"1.0","source":{"id":"2502.13963","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.13963","created_at":"2026-07-05T10:17:03Z"},{"alias_kind":"arxiv_version","alias_value":"2502.13963v1","created_at":"2026-07-05T10:17:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.13963","created_at":"2026-07-05T10:17:03Z"},{"alias_kind":"pith_short_12","alias_value":"LRQGXTEMNQ7W","created_at":"2026-07-05T10:17:03Z"},{"alias_kind":"pith_short_16","alias_value":"LRQGXTEMNQ7WSTVT","created_at":"2026-07-05T10:17:03Z"},{"alias_kind":"pith_short_8","alias_value":"LRQGXTEM","created_at":"2026-07-05T10:17:03Z"}],"graph_snapshots":[{"event_id":"sha256:2613ae8da6cad7a883b2533747e49d017ca667c2ece314439f423b862374586d","target":"graph","created_at":"2026-07-05T10:17:03Z","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/2502.13963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) frequently show distracted attention due to irrelevant information in the input, which severely impairs their long-context capabilities. Inspired by recent studies on the effectiveness of retrieval heads in long-context factutality, we aim at addressing this distraction issue through improving such retrieval heads directly. We propose Multi-Document Attention Focusing (MuDAF), a novel method that explicitly optimizes the attention distribution at the head level through contrastive learning. According to the experimental results, MuDAF can significantly improve the ","authors_text":"Dongmei Zhang, Ming Gong, Ning Wu, Shining Liang, Shiping Yang, Weihao Liu, Wenbiao Ding","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T18:59:15Z","title":"MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13963","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":"sha256:01a1186c127546e8970457c992724289e88eab37b970cf397d549cce6480891c","target":"record","created_at":"2026-07-05T10:17:03Z","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":"5b6bee8fa2ee1b0d4f8e358dabb323e53cbbde9878c8f5067617c2354843b623","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T18:59:15Z","title_canon_sha256":"ea2923204b8572033cd7ad3ea2dfb6ad3746ffcdda35fd267398c5370a1e4c82"},"schema_version":"1.0","source":{"id":"2502.13963","kind":"arxiv","version":1}},"canonical_sha256":"5c606bcc8c6c3f694eb33630c2878fd6c4eedd0061b8914ae0ca80775c13d8a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c606bcc8c6c3f694eb33630c2878fd6c4eedd0061b8914ae0ca80775c13d8a7","first_computed_at":"2026-07-05T10:17:03.131585Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:17:03.131585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"67pEzI1pCq4cvsWlFuDsacW5H/mwT3f1Q0C8vbFjmTyIdfttBiVM1cAN3RuM0yhsCfAJsyzZr72nhoQ8lP+EAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:17:03.131969Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.13963","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01a1186c127546e8970457c992724289e88eab37b970cf397d549cce6480891c","sha256:2613ae8da6cad7a883b2533747e49d017ca667c2ece314439f423b862374586d"],"state_sha256":"ec0f64c9daaa4daf95e4586c4ef988e5720a67e60c14052fbf48fc6c328eb408"}