{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4FROBNPOUOUKJUYLLOFEJXF2VW","short_pith_number":"pith:4FROBNPO","canonical_record":{"source":{"id":"2410.04778","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T06:36:55Z","cross_cats_sorted":[],"title_canon_sha256":"eb4f6e435ded57f2877c3cae842f8a1837951d23f8aa29ede37c8f37e1f1ed81","abstract_canon_sha256":"8fb64b25af6273c5726e860dc428ee12aeb697b8ce74eb9991102b95351ce13d"},"schema_version":"1.0"},"canonical_sha256":"e162e0b5eea3a8a4d30b5b8a44dcbaad9dc449df67785d2936a85523ea2dba08","source":{"kind":"arxiv","id":"2410.04778","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04778","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04778v2","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04778","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"4FROBNPOUOUK","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"4FROBNPOUOUKJUYL","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"4FROBNPO","created_at":"2026-07-05T11:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4FROBNPOUOUKJUYLLOFEJXF2VW","target":"record","payload":{"canonical_record":{"source":{"id":"2410.04778","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T06:36:55Z","cross_cats_sorted":[],"title_canon_sha256":"eb4f6e435ded57f2877c3cae842f8a1837951d23f8aa29ede37c8f37e1f1ed81","abstract_canon_sha256":"8fb64b25af6273c5726e860dc428ee12aeb697b8ce74eb9991102b95351ce13d"},"schema_version":"1.0"},"canonical_sha256":"e162e0b5eea3a8a4d30b5b8a44dcbaad9dc449df67785d2936a85523ea2dba08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:11.476452Z","signature_b64":"cmNYY9dZA8pTvend+VSRh+UqW8nrYVdCEa7c5BFZurtquVU0PXKNQtvsuRTe7bQYwj2NahN8cwIu79OR6ViRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e162e0b5eea3a8a4d30b5b8a44dcbaad9dc449df67785d2936a85523ea2dba08","last_reissued_at":"2026-07-05T11:28:11.475903Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:11.475903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.04778","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":"2026-07-05T11:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uIaE47nhXubmo7OJyhl8ak4r4eV6CIhgcdof5z63op76miJZVuYu39Uxtcv+v6QsRl93PsmJRHioTU/BrI+9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:13:50.404863Z"},"content_sha256":"859f2e6e910bfde7d2a01f56e2c1a12a181f0d507c7f0bab482da9d2256afcb8","schema_version":"1.0","event_id":"sha256:859f2e6e910bfde7d2a01f56e2c1a12a181f0d507c7f0bab482da9d2256afcb8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4FROBNPOUOUKJUYLLOFEJXF2VW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MM-R$^3$: On (In-)Consistency of Vision-Language Models (VLMs)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"James J. Little, Leonid Sigal, Shih-Han Chou, Shivam Chandhok","submitted_at":"2024-10-07T06:36:55Z","abstract_excerpt":"With the advent of LLMs and variants, a flurry of research has emerged, analyzing the performance of such models across an array of tasks. While most studies focus on evaluating the capabilities of state-of-the-art (SoTA) Vision Language Models (VLMs) through task accuracy (e.g., visual question answering, grounding), our work explores the related but complementary aspect of consistency - the ability of a VLM to produce semantically similar or identical responses to semantically similar queries. We note that consistency is a fundamental prerequisite (necessary but not sufficient condition) for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04778","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/2410.04778/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":"2026-07-05T11:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2RehWY2dvLXqenVfhWhHzU4vKw/I5iETvuGbLJ/vQXN39iPKLkvBroVfH2QTidCSEjejijoYuKINvHyonJOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T21:13:50.405242Z"},"content_sha256":"09546ea252bee5393ed3966103b0bfa33bd064242b3653ea06644004b6563fde","schema_version":"1.0","event_id":"sha256:09546ea252bee5393ed3966103b0bfa33bd064242b3653ea06644004b6563fde"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/bundle.json","state_url":"https://pith.science/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/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":"2026-07-10T21:13:50Z","links":{"resolver":"https://pith.science/pith/4FROBNPOUOUKJUYLLOFEJXF2VW","bundle":"https://pith.science/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/bundle.json","state":"https://pith.science/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4FROBNPOUOUKJUYLLOFEJXF2VW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4FROBNPOUOUKJUYLLOFEJXF2VW","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":"8fb64b25af6273c5726e860dc428ee12aeb697b8ce74eb9991102b95351ce13d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T06:36:55Z","title_canon_sha256":"eb4f6e435ded57f2877c3cae842f8a1837951d23f8aa29ede37c8f37e1f1ed81"},"schema_version":"1.0","source":{"id":"2410.04778","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04778","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04778v2","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04778","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"4FROBNPOUOUK","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"4FROBNPOUOUKJUYL","created_at":"2026-07-05T11:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"4FROBNPO","created_at":"2026-07-05T11:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:09546ea252bee5393ed3966103b0bfa33bd064242b3653ea06644004b6563fde","target":"graph","created_at":"2026-07-05T11:28:11Z","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/2410.04778/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the advent of LLMs and variants, a flurry of research has emerged, analyzing the performance of such models across an array of tasks. While most studies focus on evaluating the capabilities of state-of-the-art (SoTA) Vision Language Models (VLMs) through task accuracy (e.g., visual question answering, grounding), our work explores the related but complementary aspect of consistency - the ability of a VLM to produce semantically similar or identical responses to semantically similar queries. We note that consistency is a fundamental prerequisite (necessary but not sufficient condition) for","authors_text":"James J. Little, Leonid Sigal, Shih-Han Chou, Shivam Chandhok","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T06:36:55Z","title":"MM-R$^3$: On (In-)Consistency of Vision-Language Models (VLMs)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04778","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":"sha256:859f2e6e910bfde7d2a01f56e2c1a12a181f0d507c7f0bab482da9d2256afcb8","target":"record","created_at":"2026-07-05T11:28:11Z","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":"8fb64b25af6273c5726e860dc428ee12aeb697b8ce74eb9991102b95351ce13d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T06:36:55Z","title_canon_sha256":"eb4f6e435ded57f2877c3cae842f8a1837951d23f8aa29ede37c8f37e1f1ed81"},"schema_version":"1.0","source":{"id":"2410.04778","kind":"arxiv","version":2}},"canonical_sha256":"e162e0b5eea3a8a4d30b5b8a44dcbaad9dc449df67785d2936a85523ea2dba08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e162e0b5eea3a8a4d30b5b8a44dcbaad9dc449df67785d2936a85523ea2dba08","first_computed_at":"2026-07-05T11:28:11.475903Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:11.475903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cmNYY9dZA8pTvend+VSRh+UqW8nrYVdCEa7c5BFZurtquVU0PXKNQtvsuRTe7bQYwj2NahN8cwIu79OR6ViRDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:11.476452Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04778","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859f2e6e910bfde7d2a01f56e2c1a12a181f0d507c7f0bab482da9d2256afcb8","sha256:09546ea252bee5393ed3966103b0bfa33bd064242b3653ea06644004b6563fde"],"state_sha256":"981a110e29b734850d2d557fee05b11a7b2b4b73a66092e8e67cee13c9e595a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bj7TpZa/xMB2ovThq5EGWK8aXxZg/sQOOb0XnS3ootG8lu7f/BSqDokv1g2dmt/CB2ssqGDghT2KdxHfsyIjAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T21:13:50.407431Z","bundle_sha256":"6109c0020e6759c1ece8b6591103aacba08f3366d1f6e847ce2020b2570ecd8d"}}