{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FIX3IKKSEGHSS73ND4CMSZVKNB","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":"dfda0b64fecfae877aa00989d75f117d5798c533da811b5363fcb7c4712f6f98","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T22:56:43Z","title_canon_sha256":"35b25f9d373aef688e04150db90aa88471e101b32985373cf09ba131d19339a0"},"schema_version":"1.0","source":{"id":"2311.02262","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02262","created_at":"2026-07-05T09:13:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02262v2","created_at":"2026-07-05T09:13:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02262","created_at":"2026-07-05T09:13:48Z"},{"alias_kind":"pith_short_12","alias_value":"FIX3IKKSEGHS","created_at":"2026-07-05T09:13:48Z"},{"alias_kind":"pith_short_16","alias_value":"FIX3IKKSEGHSS73N","created_at":"2026-07-05T09:13:48Z"},{"alias_kind":"pith_short_8","alias_value":"FIX3IKKS","created_at":"2026-07-05T09:13:48Z"}],"graph_snapshots":[{"event_id":"sha256:31b5db67499feea433a2fa849fa247a231eee4812203c65a752548243020525e","target":"graph","created_at":"2026-07-05T09:13:48Z","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/2311.02262/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In human-written articles, we often leverage the subtleties of text style, such as bold and italics, to guide the attention of readers. These textual emphases are vital for the readers to grasp the conveyed information. When interacting with large language models (LLMs), we have a similar need -- steering the model to pay closer attention to user-specified information, e.g., an instruction. Existing methods, however, are constrained to process plain text and do not support such a mechanism. This motivates us to introduce PASTA -- Post-hoc Attention STeering Approach, a method that allows LLMs ","authors_text":"Bin Yu, Chandan Singh, Jianfeng Gao, Liyuan Liu, Qingru Zhang, Tuo Zhao, XiaoDong Liu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T22:56:43Z","title":"Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02262","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:d83c58884e03cc21a75d76ab0e0956d62c931fd03f6a126b4768d6a06cda2a3c","target":"record","created_at":"2026-07-05T09:13:48Z","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":"dfda0b64fecfae877aa00989d75f117d5798c533da811b5363fcb7c4712f6f98","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T22:56:43Z","title_canon_sha256":"35b25f9d373aef688e04150db90aa88471e101b32985373cf09ba131d19339a0"},"schema_version":"1.0","source":{"id":"2311.02262","kind":"arxiv","version":2}},"canonical_sha256":"2a2fb42952218f297f6d1f04c966aa6849591dd13cc80acaa173baa13ad0e918","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a2fb42952218f297f6d1f04c966aa6849591dd13cc80acaa173baa13ad0e918","first_computed_at":"2026-07-05T09:13:48.145365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:48.145365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I7qEpb8FjPOqlFMQaSQb3PgyKMZTX+DqYY77rW3t9afUK2rCopwtADCIFech7NEts1EkNEZh6bBMRBdDyvEdBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:48.146133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.02262","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d83c58884e03cc21a75d76ab0e0956d62c931fd03f6a126b4768d6a06cda2a3c","sha256:31b5db67499feea433a2fa849fa247a231eee4812203c65a752548243020525e"],"state_sha256":"534cc08bc3bea5dcc85e5cba65c22ecdb82bfd0770f82fbbb863f09ccddbd339"}