{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LRQGXTEMNQ7WSTVTGYYMFB4P23","short_pith_number":"pith:LRQGXTEM","canonical_record":{"source":{"id":"2502.13963","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T18:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"ea2923204b8572033cd7ad3ea2dfb6ad3746ffcdda35fd267398c5370a1e4c82","abstract_canon_sha256":"5b6bee8fa2ee1b0d4f8e358dabb323e53cbbde9878c8f5067617c2354843b623"},"schema_version":"1.0"},"canonical_sha256":"5c606bcc8c6c3f694eb33630c2878fd6c4eedd0061b8914ae0ca80775c13d8a7","source":{"kind":"arxiv","id":"2502.13963","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LRQGXTEMNQ7WSTVTGYYMFB4P23","target":"record","payload":{"canonical_record":{"source":{"id":"2502.13963","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-19T18:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"ea2923204b8572033cd7ad3ea2dfb6ad3746ffcdda35fd267398c5370a1e4c82","abstract_canon_sha256":"5b6bee8fa2ee1b0d4f8e358dabb323e53cbbde9878c8f5067617c2354843b623"},"schema_version":"1.0"},"canonical_sha256":"5c606bcc8c6c3f694eb33630c2878fd6c4eedd0061b8914ae0ca80775c13d8a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:17:03.131969Z","signature_b64":"67pEzI1pCq4cvsWlFuDsacW5H/mwT3f1Q0C8vbFjmTyIdfttBiVM1cAN3RuM0yhsCfAJsyzZr72nhoQ8lP+EAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c606bcc8c6c3f694eb33630c2878fd6c4eedd0061b8914ae0ca80775c13d8a7","last_reissued_at":"2026-07-05T10:17:03.131585Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:17:03.131585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.13963","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:17:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"doYNGtfnzaPgUArZKzN3XkDOzI7dBlaXWLO9olNx05PvHJ+Vk5rm8EmzU/Jn3NcE/PhjxAV55C9xCMO7uD1RCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:12:36.979529Z"},"content_sha256":"01a1186c127546e8970457c992724289e88eab37b970cf397d549cce6480891c","schema_version":"1.0","event_id":"sha256:01a1186c127546e8970457c992724289e88eab37b970cf397d549cce6480891c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LRQGXTEMNQ7WSTVTGYYMFB4P23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dongmei Zhang, Ming Gong, Ning Wu, Shining Liang, Shiping Yang, Weihao Liu, Wenbiao Ding","submitted_at":"2025-02-19T18:59:15Z","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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13963","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.13963/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:17:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+DyLUsVLY4BtNu8i/L9yEUmNlrVf6eaTNzEu5z4BmCxtTH760jx+Rc8bFhcml9EBgZ3d+QLvWNQQ5Ak7xJNADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:12:36.980528Z"},"content_sha256":"2613ae8da6cad7a883b2533747e49d017ca667c2ece314439f423b862374586d","schema_version":"1.0","event_id":"sha256:2613ae8da6cad7a883b2533747e49d017ca667c2ece314439f423b862374586d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/bundle.json","state_url":"https://pith.science/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T09:12:36Z","links":{"resolver":"https://pith.science/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23","bundle":"https://pith.science/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/bundle.json","state":"https://pith.science/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LRQGXTEMNQ7WSTVTGYYMFB4P23/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hbt/Oz/Biohe0lY2B1iu7ec/awOSUXRTlNdxrAN39zm4DpxVbbVg8nktAnC0f2QGq4YnXt86njxC1FxeBK4iBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:12:36.987137Z","bundle_sha256":"e913cb407a8bd8a33ec1339aaa008b80ca2eb6b0df7d98748c344ca37f33bb82"}}