{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KHGNERMOCNTRW3DWYXLX7JGXYC","short_pith_number":"pith:KHGNERMO","canonical_record":{"source":{"id":"2605.14966","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T15:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a91d7b7d8c999595a51f64631d567882613578b82461bbb15bbf8e523c914aa3","abstract_canon_sha256":"1b9f99f322f3384d8819b50933d4124c436c9e0bf1c920d129c1d7dad943ba64"},"schema_version":"1.0"},"canonical_sha256":"51ccd2458e13671b6c76c5d77fa4d7c0b6fe74c0d053f28165736d6317e30e2d","source":{"kind":"arxiv","id":"2605.14966","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14966","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14966v1","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14966","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"KHGNERMOCNTR","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"KHGNERMOCNTRW3DW","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"KHGNERMO","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KHGNERMOCNTRW3DWYXLX7JGXYC","target":"record","payload":{"canonical_record":{"source":{"id":"2605.14966","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T15:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a91d7b7d8c999595a51f64631d567882613578b82461bbb15bbf8e523c914aa3","abstract_canon_sha256":"1b9f99f322f3384d8819b50933d4124c436c9e0bf1c920d129c1d7dad943ba64"},"schema_version":"1.0"},"canonical_sha256":"51ccd2458e13671b6c76c5d77fa4d7c0b6fe74c0d053f28165736d6317e30e2d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:38:55.234901Z","signature_b64":"zkl+izS4uXioBspCLMW53edHFv1uFzIy+PToVhy70Q7O8CGuyvg4jEhAkTg8z4+UwH913Lid79trgOvqTDbMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51ccd2458e13671b6c76c5d77fa4d7c0b6fe74c0d053f28165736d6317e30e2d","last_reissued_at":"2026-05-17T23:38:55.234296Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:38:55.234296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.14966","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":"2026-05-17T23:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y/XjIFfT9LHUeHXqBcCA5p8GGa0uUEwzMjfMIdRJlLOr1UOGaScMkCdTq12p7CZ2h6QxIKdR0LQKHbiZvNP9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T10:32:22.140312Z"},"content_sha256":"0cf2f1957671d7026204e8dbc7141665deeef1eeee510f1f93795c00f75671e6","schema_version":"1.0","event_id":"sha256:0cf2f1957671d7026204e8dbc7141665deeef1eeee510f1f93795c00f75671e6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KHGNERMOCNTRW3DWYXLX7JGXYC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiansheng Chen, Ruobing Xie, Wei Ding, Xingwu Sun, Yilin Li, Yudong Zhang, Yu Wang","submitted_at":"2026-05-14T15:31:18Z","abstract_excerpt":"Large vision-language models (LVLMs) have achieved remarkable performance across diverse multimodal tasks, yet they continue to suffer from hallucinations, generating content that is inconsistent with the visual input. Prior work DHCP (Detecting Hallucinations by Cross-modal Attention Pattern) has explored hallucination detection from the perspective of cross-modal attention, but does not address hallucination mitigation. In this paper, we propose MHSA (Mitigating Hallucinations via Steered Attention), a lightweight framework that mitigates hallucinations by learning to correct cross-modal att"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14966","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":""},"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":"2026-05-17T23:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xtj8i85D3+kr1RPWwk7s1GXgtTgL/2bvZR5n8yUIOJN/hx6bd2NVzIc76VtsnJM03Q7Y16uS30ruMl5gtog/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T10:32:22.141049Z"},"content_sha256":"ba54a0a657933c7a067e4d8637a5b10c1f41fa97b285236100ad8500d5399574","schema_version":"1.0","event_id":"sha256:ba54a0a657933c7a067e4d8637a5b10c1f41fa97b285236100ad8500d5399574"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/bundle.json","state_url":"https://pith.science/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/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":"2026-06-08T10:32:22Z","links":{"resolver":"https://pith.science/pith/KHGNERMOCNTRW3DWYXLX7JGXYC","bundle":"https://pith.science/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/bundle.json","state":"https://pith.science/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KHGNERMOCNTRW3DWYXLX7JGXYC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KHGNERMOCNTRW3DWYXLX7JGXYC","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":"1b9f99f322f3384d8819b50933d4124c436c9e0bf1c920d129c1d7dad943ba64","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T15:31:18Z","title_canon_sha256":"a91d7b7d8c999595a51f64631d567882613578b82461bbb15bbf8e523c914aa3"},"schema_version":"1.0","source":{"id":"2605.14966","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14966","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14966v1","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14966","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"KHGNERMOCNTR","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"KHGNERMOCNTRW3DW","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"KHGNERMO","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:ba54a0a657933c7a067e4d8637a5b10c1f41fa97b285236100ad8500d5399574","target":"graph","created_at":"2026-05-17T23:38:55Z","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"},"paper":{"abstract_excerpt":"Large vision-language models (LVLMs) have achieved remarkable performance across diverse multimodal tasks, yet they continue to suffer from hallucinations, generating content that is inconsistent with the visual input. Prior work DHCP (Detecting Hallucinations by Cross-modal Attention Pattern) has explored hallucination detection from the perspective of cross-modal attention, but does not address hallucination mitigation. In this paper, we propose MHSA (Mitigating Hallucinations via Steered Attention), a lightweight framework that mitigates hallucinations by learning to correct cross-modal att","authors_text":"Jiansheng Chen, Ruobing Xie, Wei Ding, Xingwu Sun, Yilin Li, Yudong Zhang, Yu Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T15:31:18Z","title":"MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14966","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":"sha256:0cf2f1957671d7026204e8dbc7141665deeef1eeee510f1f93795c00f75671e6","target":"record","created_at":"2026-05-17T23:38:55Z","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":"1b9f99f322f3384d8819b50933d4124c436c9e0bf1c920d129c1d7dad943ba64","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T15:31:18Z","title_canon_sha256":"a91d7b7d8c999595a51f64631d567882613578b82461bbb15bbf8e523c914aa3"},"schema_version":"1.0","source":{"id":"2605.14966","kind":"arxiv","version":1}},"canonical_sha256":"51ccd2458e13671b6c76c5d77fa4d7c0b6fe74c0d053f28165736d6317e30e2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51ccd2458e13671b6c76c5d77fa4d7c0b6fe74c0d053f28165736d6317e30e2d","first_computed_at":"2026-05-17T23:38:55.234296Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:55.234296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zkl+izS4uXioBspCLMW53edHFv1uFzIy+PToVhy70Q7O8CGuyvg4jEhAkTg8z4+UwH913Lid79trgOvqTDbMCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:55.234901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14966","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cf2f1957671d7026204e8dbc7141665deeef1eeee510f1f93795c00f75671e6","sha256:ba54a0a657933c7a067e4d8637a5b10c1f41fa97b285236100ad8500d5399574"],"state_sha256":"5ac862f12825b23562e057f9fdc6afa3542efc242f3f0339423c20dbbee9f2b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kNTPP72PqYAGy4cotIw5s6CqYv1F4ovxoYDQcOipPcC2VYd87ime76HJrU3FBwKkbWhZQSbYNlOcBLLV1aQlBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T10:32:22.145612Z","bundle_sha256":"73e9ed6c8927e7ce88aa4f6ad8479c0263331486c73ff1dcdc3185ccb190e863"}}