{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QXEM2AFDBZVLQOMHPT4LYZTIYU","short_pith_number":"pith:QXEM2AFD","canonical_record":{"source":{"id":"2507.05056","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T14:38:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ba870eb962219fb8556b5886101ac2a87fb7ea12443b83ec9875a9c7bcd1f70","abstract_canon_sha256":"850d9b39243717e749415a2433c1e3364883bde6c54b2bc4c54011da667d2ab7"},"schema_version":"1.0"},"canonical_sha256":"85c8cd00a30e6ab839877cf8bc6668c52d7c95afaf27f90ecdd21e8d23223451","source":{"kind":"arxiv","id":"2507.05056","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.05056","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"arxiv_version","alias_value":"2507.05056v2","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05056","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_12","alias_value":"QXEM2AFDBZVL","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_16","alias_value":"QXEM2AFDBZVLQOMH","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_8","alias_value":"QXEM2AFD","created_at":"2026-07-05T11:40:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QXEM2AFDBZVLQOMHPT4LYZTIYU","target":"record","payload":{"canonical_record":{"source":{"id":"2507.05056","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T14:38:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ba870eb962219fb8556b5886101ac2a87fb7ea12443b83ec9875a9c7bcd1f70","abstract_canon_sha256":"850d9b39243717e749415a2433c1e3364883bde6c54b2bc4c54011da667d2ab7"},"schema_version":"1.0"},"canonical_sha256":"85c8cd00a30e6ab839877cf8bc6668c52d7c95afaf27f90ecdd21e8d23223451","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:56.125817Z","signature_b64":"bKgqfEf2iByZQPimLPf1hivfXyeHCUjyJNDc8Ix2qixAbRqYMQV54LLPNCsIaNNXp5F0vtM6buRfFT/pelweAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85c8cd00a30e6ab839877cf8bc6668c52d7c95afaf27f90ecdd21e8d23223451","last_reissued_at":"2026-07-05T11:40:56.125197Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:56.125197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.05056","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:40:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9q9yCDuNeoqYOKmN4rZa9fXKO2p8u0A3oG/xTifU0n8Rt98Sn4RBzhVISmRV7vE3ZhPu6/MsEFfhV6H8VexlAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:34:54.777590Z"},"content_sha256":"9851da1bf62cf647d74bebf6695c48f988bf719a396cfb633b4c95487fc6408a","schema_version":"1.0","event_id":"sha256:9851da1bf62cf647d74bebf6695c48f988bf719a396cfb633b4c95487fc6408a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QXEM2AFDBZVLQOMHPT4LYZTIYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bo Zheng, Jing Huang, Jingsong Lan, Jin Wang, Lihua Jing, Li Zhou, Shichao Dong, Xiaoyong Zhu, Xin Dong, Zenghui Sun","submitted_at":"2025-07-07T14:38:53Z","abstract_excerpt":"Hallucinations in large vision-language models (LVLMs) pose significant challenges for real-world applications, as LVLMs may generate responses that appear plausible yet remain inconsistent with the associated visual content. This issue rarely occurs in human cognition. We argue that this discrepancy arises from humans' ability to effectively leverage multimodal interaction information in data samples. Specifically, humans typically first gather multimodal information, analyze the interactions across modalities for understanding, and then express their understanding through language. Motivated"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05056","kind":"arxiv","version":2},"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/2507.05056/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":"2026-07-05T11:40:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2r1udIyP7T4E5uvyyUUIiNI02Q89du6xQiEXUvcE24bpTYx70TITLqUCYp2O/HHmb6q1nkljaeIqGrNw3ftQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:34:54.778174Z"},"content_sha256":"19f0bebd45e94563fc3058844db55165a65c7e9a6a5e3c121d0ce01219520481","schema_version":"1.0","event_id":"sha256:19f0bebd45e94563fc3058844db55165a65c7e9a6a5e3c121d0ce01219520481"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/bundle.json","state_url":"https://pith.science/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/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":"2026-08-09T18:34:54Z","links":{"resolver":"https://pith.science/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU","bundle":"https://pith.science/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/bundle.json","state":"https://pith.science/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QXEM2AFDBZVLQOMHPT4LYZTIYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QXEM2AFDBZVLQOMHPT4LYZTIYU","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":"850d9b39243717e749415a2433c1e3364883bde6c54b2bc4c54011da667d2ab7","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T14:38:53Z","title_canon_sha256":"4ba870eb962219fb8556b5886101ac2a87fb7ea12443b83ec9875a9c7bcd1f70"},"schema_version":"1.0","source":{"id":"2507.05056","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.05056","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"arxiv_version","alias_value":"2507.05056v2","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05056","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_12","alias_value":"QXEM2AFDBZVL","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_16","alias_value":"QXEM2AFDBZVLQOMH","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_8","alias_value":"QXEM2AFD","created_at":"2026-07-05T11:40:56Z"}],"graph_snapshots":[{"event_id":"sha256:19f0bebd45e94563fc3058844db55165a65c7e9a6a5e3c121d0ce01219520481","target":"graph","created_at":"2026-07-05T11:40:56Z","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/2507.05056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hallucinations in large vision-language models (LVLMs) pose significant challenges for real-world applications, as LVLMs may generate responses that appear plausible yet remain inconsistent with the associated visual content. This issue rarely occurs in human cognition. We argue that this discrepancy arises from humans' ability to effectively leverage multimodal interaction information in data samples. Specifically, humans typically first gather multimodal information, analyze the interactions across modalities for understanding, and then express their understanding through language. Motivated","authors_text":"Bo Zheng, Jing Huang, Jingsong Lan, Jin Wang, Lihua Jing, Li Zhou, Shichao Dong, Xiaoyong Zhu, Xin Dong, Zenghui Sun","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T14:38:53Z","title":"INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05056","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":"sha256:9851da1bf62cf647d74bebf6695c48f988bf719a396cfb633b4c95487fc6408a","target":"record","created_at":"2026-07-05T11:40:56Z","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":"850d9b39243717e749415a2433c1e3364883bde6c54b2bc4c54011da667d2ab7","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T14:38:53Z","title_canon_sha256":"4ba870eb962219fb8556b5886101ac2a87fb7ea12443b83ec9875a9c7bcd1f70"},"schema_version":"1.0","source":{"id":"2507.05056","kind":"arxiv","version":2}},"canonical_sha256":"85c8cd00a30e6ab839877cf8bc6668c52d7c95afaf27f90ecdd21e8d23223451","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85c8cd00a30e6ab839877cf8bc6668c52d7c95afaf27f90ecdd21e8d23223451","first_computed_at":"2026-07-05T11:40:56.125197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:56.125197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bKgqfEf2iByZQPimLPf1hivfXyeHCUjyJNDc8Ix2qixAbRqYMQV54LLPNCsIaNNXp5F0vtM6buRfFT/pelweAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:56.125817Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.05056","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9851da1bf62cf647d74bebf6695c48f988bf719a396cfb633b4c95487fc6408a","sha256:19f0bebd45e94563fc3058844db55165a65c7e9a6a5e3c121d0ce01219520481"],"state_sha256":"c7078129ab47d04a905a782725624bebb12a002640044c544c51e2861c54fbbc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QTSxJAsXecrt3SDUNE4BY5XCFoFSbUQZBef8E4ndvffbz5QqY7FpRI0f69SpXpMc46T+YWru/oVrYZrMPTRpCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:34:54.782547Z","bundle_sha256":"0311e47a633e70b2be5a11ac4e53fc8be56d36b3c05f09dd21998e144dc49c0c"}}