{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YF4DXMEMYWWDP34YJHG6UL4HDH","short_pith_number":"pith:YF4DXMEM","canonical_record":{"source":{"id":"2608.08167","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T14:51:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2bc36857f13dd9a36237e1fce5a4c5dff78d877719c41cb8771ddafee1844827","abstract_canon_sha256":"645a94886bd22265fecf114af231e9d0027b72dd858aec56aeb3dca5f7a2df3a"},"schema_version":"1.0"},"canonical_sha256":"c1783bb08cc5ac37ef9849cdea2f8719d9f3928e89c43dec5ea1063aadb5801e","source":{"kind":"arxiv","id":"2608.08167","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08167","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08167v1","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08167","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_12","alias_value":"YF4DXMEMYWWD","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_16","alias_value":"YF4DXMEMYWWDP34Y","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_8","alias_value":"YF4DXMEM","created_at":"2026-08-11T01:21:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YF4DXMEMYWWDP34YJHG6UL4HDH","target":"record","payload":{"canonical_record":{"source":{"id":"2608.08167","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T14:51:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2bc36857f13dd9a36237e1fce5a4c5dff78d877719c41cb8771ddafee1844827","abstract_canon_sha256":"645a94886bd22265fecf114af231e9d0027b72dd858aec56aeb3dca5f7a2df3a"},"schema_version":"1.0"},"canonical_sha256":"c1783bb08cc5ac37ef9849cdea2f8719d9f3928e89c43dec5ea1063aadb5801e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:21:52.253324Z","signature_b64":"WpJ/MdSeY1n0y3GHrgQIcVdsE9Um3J5uU5joPPo43SOfjRY8dRWstKzkmtQcI/igM29UCh58HcbSyJKKho+vAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1783bb08cc5ac37ef9849cdea2f8719d9f3928e89c43dec5ea1063aadb5801e","last_reissued_at":"2026-08-11T01:21:52.250954Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:21:52.250954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.08167","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":"2026-08-11T01:21:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QvixnxhgiukUa0JI9BN1Jz+e87GYplcaHs/2V7N/uHIHijNEpa6vcvra9t9TULqDIMyuRL/ih++r4MyTcCqRAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T22:38:49.481620Z"},"content_sha256":"c4d6851bee133ebb175f790c3d2073bbfc120eb4960567b16a5e6cb261358228","schema_version":"1.0","event_id":"sha256:c4d6851bee133ebb175f790c3d2073bbfc120eb4960567b16a5e6cb261358228"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YF4DXMEMYWWDP34YJHG6UL4HDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wiener Representation Filtering for VLM Hallucination Suppression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ameen Ali, Lidor Brami, Lior Wolf, Tamim Zoabi","submitted_at":"2026-08-08T14:51:17Z","abstract_excerpt":"Vision-language models (VLMs) excel at open-ended captioning and visual QA but often describe objects, attributes, or relations absent from the image, a phenomenon known as object hallucination. We propose a {training-free, post-hoc representation editing technique} that operates in the representation space of the language backbone. The method performs a lightweight, one-time offline calibration on a modest paired dataset to estimate the required covariance structures, using only forward passes and empirical second-order statistics with no gradient updates or fine-tuning, after which the corre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08167","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/2608.08167/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":"2026-08-11T01:21:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2itZPhqvt7QOMuubOuwLR3dyBYKXV3anGJQAA2CkieR91POtJ7K8UaWGiDn8zPAgeUw8lnoLUbr99kOeZuxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T22:38:49.482436Z"},"content_sha256":"46c4364f05bda7af04610354a9cacaed551fc6b55e62ff31452d10a341c2805b","schema_version":"1.0","event_id":"sha256:46c4364f05bda7af04610354a9cacaed551fc6b55e62ff31452d10a341c2805b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/bundle.json","state_url":"https://pith.science/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/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":"2026-08-14T22:38:49Z","links":{"resolver":"https://pith.science/pith/YF4DXMEMYWWDP34YJHG6UL4HDH","bundle":"https://pith.science/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/bundle.json","state":"https://pith.science/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YF4DXMEMYWWDP34YJHG6UL4HDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YF4DXMEMYWWDP34YJHG6UL4HDH","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":"645a94886bd22265fecf114af231e9d0027b72dd858aec56aeb3dca5f7a2df3a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T14:51:17Z","title_canon_sha256":"2bc36857f13dd9a36237e1fce5a4c5dff78d877719c41cb8771ddafee1844827"},"schema_version":"1.0","source":{"id":"2608.08167","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08167","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08167v1","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08167","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_12","alias_value":"YF4DXMEMYWWD","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_16","alias_value":"YF4DXMEMYWWDP34Y","created_at":"2026-08-11T01:21:52Z"},{"alias_kind":"pith_short_8","alias_value":"YF4DXMEM","created_at":"2026-08-11T01:21:52Z"}],"graph_snapshots":[{"event_id":"sha256:46c4364f05bda7af04610354a9cacaed551fc6b55e62ff31452d10a341c2805b","target":"graph","created_at":"2026-08-11T01:21:52Z","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/2608.08167/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) excel at open-ended captioning and visual QA but often describe objects, attributes, or relations absent from the image, a phenomenon known as object hallucination. We propose a {training-free, post-hoc representation editing technique} that operates in the representation space of the language backbone. The method performs a lightweight, one-time offline calibration on a modest paired dataset to estimate the required covariance structures, using only forward passes and empirical second-order statistics with no gradient updates or fine-tuning, after which the corre","authors_text":"Ameen Ali, Lidor Brami, Lior Wolf, Tamim Zoabi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T14:51:17Z","title":"Wiener Representation Filtering for VLM Hallucination Suppression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08167","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:c4d6851bee133ebb175f790c3d2073bbfc120eb4960567b16a5e6cb261358228","target":"record","created_at":"2026-08-11T01:21:52Z","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":"645a94886bd22265fecf114af231e9d0027b72dd858aec56aeb3dca5f7a2df3a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-08T14:51:17Z","title_canon_sha256":"2bc36857f13dd9a36237e1fce5a4c5dff78d877719c41cb8771ddafee1844827"},"schema_version":"1.0","source":{"id":"2608.08167","kind":"arxiv","version":1}},"canonical_sha256":"c1783bb08cc5ac37ef9849cdea2f8719d9f3928e89c43dec5ea1063aadb5801e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1783bb08cc5ac37ef9849cdea2f8719d9f3928e89c43dec5ea1063aadb5801e","first_computed_at":"2026-08-11T01:21:52.250954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:21:52.250954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WpJ/MdSeY1n0y3GHrgQIcVdsE9Um3J5uU5joPPo43SOfjRY8dRWstKzkmtQcI/igM29UCh58HcbSyJKKho+vAw==","signature_status":"signed_v1","signed_at":"2026-08-11T01:21:52.253324Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.08167","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4d6851bee133ebb175f790c3d2073bbfc120eb4960567b16a5e6cb261358228","sha256:46c4364f05bda7af04610354a9cacaed551fc6b55e62ff31452d10a341c2805b"],"state_sha256":"824ec5910298b17f65bdf691ae9ff5cf39609ee4d894a01ea92947b515e498dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MHqft6JADyUWQsno8aPH5+ZBvxTGhfg5wPNAQOuxRH7nb/IUs7BTic/16ahKdfmhxl9gAF8wDr1vDo81M6gFAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T22:38:49.487320Z","bundle_sha256":"2cd008dd671e144616ad5733d936714cf7ce6c6bdb3b64c2e53832aa140d263d"}}