{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UF4RLLBDWBAOTJNIGFRQFQV6B4","short_pith_number":"pith:UF4RLLBD","canonical_record":{"source":{"id":"2607.18673","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T03:43:50Z","cross_cats_sorted":[],"title_canon_sha256":"5d12cc0f49adfe4906f972ea488a3eaaa7f337002e911f99c16dd5206e537426","abstract_canon_sha256":"2447c408c84e1c8cdfce22860daba59273674c287dc0c3009354b0dc7dd04aea"},"schema_version":"1.0"},"canonical_sha256":"a17915ac23b040e9a5a8316302c2be0f10fa4d14d394f7bf61ea16b0c35835b6","source":{"kind":"arxiv","id":"2607.18673","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18673","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18673v1","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18673","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_12","alias_value":"UF4RLLBDWBAO","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_16","alias_value":"UF4RLLBDWBAOTJNI","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_8","alias_value":"UF4RLLBD","created_at":"2026-07-22T01:23:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UF4RLLBDWBAOTJNIGFRQFQV6B4","target":"record","payload":{"canonical_record":{"source":{"id":"2607.18673","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T03:43:50Z","cross_cats_sorted":[],"title_canon_sha256":"5d12cc0f49adfe4906f972ea488a3eaaa7f337002e911f99c16dd5206e537426","abstract_canon_sha256":"2447c408c84e1c8cdfce22860daba59273674c287dc0c3009354b0dc7dd04aea"},"schema_version":"1.0"},"canonical_sha256":"a17915ac23b040e9a5a8316302c2be0f10fa4d14d394f7bf61ea16b0c35835b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T01:23:06.070580Z","signature_b64":"KiuFvMx46xDoN/yrFoBDg6WzoWhDZipVjxz20I4LC7BaFSnP8rEPIEJ/GZe7RDRGpE10GOXGEsinLKA/VyvxCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a17915ac23b040e9a5a8316302c2be0f10fa4d14d394f7bf61ea16b0c35835b6","last_reissued_at":"2026-07-22T01:23:06.069623Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T01:23:06.069623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.18673","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":"2026-07-22T01:23:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xk3B5c1ijsNbVQSGLJ9PXhwhQbVy+K6+d2JBpdqQFc91kBoebwvj8apk/ALEKc+okWilQC+3vwsnrP8/6HLGCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:07:03.838904Z"},"content_sha256":"5941ec445e793da744588eaf6793afce3f668ab4c6d2ac38d8de6a9c2a74d029","schema_version":"1.0","event_id":"sha256:5941ec445e793da744588eaf6793afce3f668ab4c6d2ac38d8de6a9c2a74d029"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UF4RLLBDWBAOTJNIGFRQFQV6B4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guoping Luo, Qingyun Qian, Shan Du, Shiyu Zhou, Wenqi Marshall Guo","submitted_at":"2026-07-21T03:43:50Z","abstract_excerpt":"Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training data. We present MissingBench-Verified, a benchmark designed to evaluate a specific and practically relevant scenario: when vision-language models fail to recognize that an essential component of an object has been removed. Across ten leading models, we observe consistent and significant failure rates that persist even when external tool evidence exp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18673","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/2607.18673/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":"2026-07-22T01:23:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TlcQWMNe0fDQfxyFz15WraatlnymXMZWRBapk7E2SPU8HD+Clkgx3m8whL0mKSfVSzacwUlzZDOb0UzU2jqRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:07:03.839839Z"},"content_sha256":"b2abcf8dab71916f02083acbfac58c67187762649cc599509ef97b0bb353a8fd","schema_version":"1.0","event_id":"sha256:b2abcf8dab71916f02083acbfac58c67187762649cc599509ef97b0bb353a8fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/bundle.json","state_url":"https://pith.science/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/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":"2026-08-03T16:07:03Z","links":{"resolver":"https://pith.science/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4","bundle":"https://pith.science/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/bundle.json","state":"https://pith.science/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UF4RLLBDWBAOTJNIGFRQFQV6B4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UF4RLLBDWBAOTJNIGFRQFQV6B4","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":"2447c408c84e1c8cdfce22860daba59273674c287dc0c3009354b0dc7dd04aea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T03:43:50Z","title_canon_sha256":"5d12cc0f49adfe4906f972ea488a3eaaa7f337002e911f99c16dd5206e537426"},"schema_version":"1.0","source":{"id":"2607.18673","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18673","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18673v1","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18673","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_12","alias_value":"UF4RLLBDWBAO","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_16","alias_value":"UF4RLLBDWBAOTJNI","created_at":"2026-07-22T01:23:06Z"},{"alias_kind":"pith_short_8","alias_value":"UF4RLLBD","created_at":"2026-07-22T01:23:06Z"}],"graph_snapshots":[{"event_id":"sha256:b2abcf8dab71916f02083acbfac58c67187762649cc599509ef97b0bb353a8fd","target":"graph","created_at":"2026-07-22T01:23:06Z","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/2607.18673/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both real-world knowledge bias and the scarcity of such images in training data. We present MissingBench-Verified, a benchmark designed to evaluate a specific and practically relevant scenario: when vision-language models fail to recognize that an essential component of an object has been removed. Across ten leading models, we observe consistent and significant failure rates that persist even when external tool evidence exp","authors_text":"Guoping Luo, Qingyun Qian, Shan Du, Shiyu Zhou, Wenqi Marshall Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T03:43:50Z","title":"MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18673","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":"sha256:5941ec445e793da744588eaf6793afce3f668ab4c6d2ac38d8de6a9c2a74d029","target":"record","created_at":"2026-07-22T01:23:06Z","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":"2447c408c84e1c8cdfce22860daba59273674c287dc0c3009354b0dc7dd04aea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T03:43:50Z","title_canon_sha256":"5d12cc0f49adfe4906f972ea488a3eaaa7f337002e911f99c16dd5206e537426"},"schema_version":"1.0","source":{"id":"2607.18673","kind":"arxiv","version":1}},"canonical_sha256":"a17915ac23b040e9a5a8316302c2be0f10fa4d14d394f7bf61ea16b0c35835b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a17915ac23b040e9a5a8316302c2be0f10fa4d14d394f7bf61ea16b0c35835b6","first_computed_at":"2026-07-22T01:23:06.069623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T01:23:06.069623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KiuFvMx46xDoN/yrFoBDg6WzoWhDZipVjxz20I4LC7BaFSnP8rEPIEJ/GZe7RDRGpE10GOXGEsinLKA/VyvxCQ==","signature_status":"signed_v1","signed_at":"2026-07-22T01:23:06.070580Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18673","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5941ec445e793da744588eaf6793afce3f668ab4c6d2ac38d8de6a9c2a74d029","sha256:b2abcf8dab71916f02083acbfac58c67187762649cc599509ef97b0bb353a8fd"],"state_sha256":"516446f39e202789ec76a62fb68ab456c1ad71b12374a841fcc607e508bf18f7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rzuxjsWv0Yn+L7KL0zAZYznCfA3z/GUxAYzk9AQksad0ID6dAM2JME3Ab3/mOhpkzCy7JdtJVStaJ5aM9vfbDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:07:03.847364Z","bundle_sha256":"3d4530c75c4a1aab4d239327bc500b7fa414529b84b54b89d485a3b0f8f7014b"}}