{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:STLCNAFANCLVZD7C63MJB7C263","short_pith_number":"pith:STLCNAFA","canonical_record":{"source":{"id":"2401.11943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-22T13:33:53Z","cross_cats_sorted":["cs.CL","cs.CR","cs.CV","cs.MM"],"title_canon_sha256":"0d618f1e6dd3e66f1c7be80bdaf77ef8d47a9a455e4fa6ffe76c964b1471f638","abstract_canon_sha256":"d1bd7ed21d80f7b4f757ab06c8da3ddc364224eecee64113cf11550d8ba1ea9a"},"schema_version":"1.0"},"canonical_sha256":"94d62680a068975c8fe2f6d890fc5af6e2bde2734f491b1064d241532d19112c","source":{"kind":"arxiv","id":"2401.11943","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11943","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11943v1","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11943","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_12","alias_value":"STLCNAFANCLV","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_16","alias_value":"STLCNAFANCLVZD7C","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_8","alias_value":"STLCNAFA","created_at":"2026-07-05T07:36:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:STLCNAFANCLVZD7C63MJB7C263","target":"record","payload":{"canonical_record":{"source":{"id":"2401.11943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-22T13:33:53Z","cross_cats_sorted":["cs.CL","cs.CR","cs.CV","cs.MM"],"title_canon_sha256":"0d618f1e6dd3e66f1c7be80bdaf77ef8d47a9a455e4fa6ffe76c964b1471f638","abstract_canon_sha256":"d1bd7ed21d80f7b4f757ab06c8da3ddc364224eecee64113cf11550d8ba1ea9a"},"schema_version":"1.0"},"canonical_sha256":"94d62680a068975c8fe2f6d890fc5af6e2bde2734f491b1064d241532d19112c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:36:12.604253Z","signature_b64":"CB8LdNyAX9oSvwAEOzzsvy39cwvAkQpRRp5Bw3PNChetGFgB2GG0qviPEjGuqFkojrypSt25PD68ILldE81yCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94d62680a068975c8fe2f6d890fc5af6e2bde2734f491b1064d241532d19112c","last_reissued_at":"2026-07-05T07:36:12.603769Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:36:12.603769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.11943","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":"2026-07-05T07:36:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5GEjKDdWvzpjCt5mXnclqbnbmXxrs/XWdWGLZS3NeK4E4HjtfeUi5yXURxXbn9/2dehyUlBSx6kkTxBLSlbbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:52:57.887948Z"},"content_sha256":"465e3d9639d59fa406efab4f443ce84ad117fb9cfcd49dd12136df2229d95084","schema_version":"1.0","event_id":"sha256:465e3d9639d59fa406efab4f443ce84ad117fb9cfcd49dd12136df2229d95084"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:STLCNAFANCLVZD7C63MJB7C263","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking Large Multimodal Models against Common Corruptions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CR","cs.CV","cs.MM"],"primary_cat":"cs.LG","authors_text":"Bo Li, Chao Du, Jiawei Zhang, Min Lin, Tianyu Pang, Yi Ren","submitted_at":"2024-01-22T13:33:53Z","abstract_excerpt":"This technical report aims to fill a deficiency in the assessment of large multimodal models (LMMs) by specifically examining the self-consistency of their outputs when subjected to common corruptions. We investigate the cross-modal interactions between text, image, and speech, encompassing four essential generation tasks: text-to-image, image-to-text, text-to-speech, and speech-to-text. We create a comprehensive benchmark, named MMCBench, that covers more than 100 popular LMMs (totally over 150 model checkpoints). A thorough evaluation under common corruptions is critical for practical deploy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11943","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/2401.11943/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":"2026-07-05T07:36:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L+qHA1L3kPqji2cYw3YZ5yTuAu3t3te4kQo4SGw7h2zQ6wM3Vf049BF6xv5X3wnWU3XdVdF7yOz5u5ZDKSotAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:52:57.888481Z"},"content_sha256":"d7d2bddf13614057c38873b6e2f5ad86b4aa54f352643b5a8b49d23aed3d3b06","schema_version":"1.0","event_id":"sha256:d7d2bddf13614057c38873b6e2f5ad86b4aa54f352643b5a8b49d23aed3d3b06"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/STLCNAFANCLVZD7C63MJB7C263/bundle.json","state_url":"https://pith.science/pith/STLCNAFANCLVZD7C63MJB7C263/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/STLCNAFANCLVZD7C63MJB7C263/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":"2026-08-05T05:52:57Z","links":{"resolver":"https://pith.science/pith/STLCNAFANCLVZD7C63MJB7C263","bundle":"https://pith.science/pith/STLCNAFANCLVZD7C63MJB7C263/bundle.json","state":"https://pith.science/pith/STLCNAFANCLVZD7C63MJB7C263/state.json","well_known_bundle":"https://pith.science/.well-known/pith/STLCNAFANCLVZD7C63MJB7C263/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:STLCNAFANCLVZD7C63MJB7C263","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":"d1bd7ed21d80f7b4f757ab06c8da3ddc364224eecee64113cf11550d8ba1ea9a","cross_cats_sorted":["cs.CL","cs.CR","cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-22T13:33:53Z","title_canon_sha256":"0d618f1e6dd3e66f1c7be80bdaf77ef8d47a9a455e4fa6ffe76c964b1471f638"},"schema_version":"1.0","source":{"id":"2401.11943","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11943","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11943v1","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11943","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_12","alias_value":"STLCNAFANCLV","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_16","alias_value":"STLCNAFANCLVZD7C","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_8","alias_value":"STLCNAFA","created_at":"2026-07-05T07:36:12Z"}],"graph_snapshots":[{"event_id":"sha256:d7d2bddf13614057c38873b6e2f5ad86b4aa54f352643b5a8b49d23aed3d3b06","target":"graph","created_at":"2026-07-05T07:36:12Z","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/2401.11943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This technical report aims to fill a deficiency in the assessment of large multimodal models (LMMs) by specifically examining the self-consistency of their outputs when subjected to common corruptions. We investigate the cross-modal interactions between text, image, and speech, encompassing four essential generation tasks: text-to-image, image-to-text, text-to-speech, and speech-to-text. We create a comprehensive benchmark, named MMCBench, that covers more than 100 popular LMMs (totally over 150 model checkpoints). A thorough evaluation under common corruptions is critical for practical deploy","authors_text":"Bo Li, Chao Du, Jiawei Zhang, Min Lin, Tianyu Pang, Yi Ren","cross_cats":["cs.CL","cs.CR","cs.CV","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-22T13:33:53Z","title":"Benchmarking Large Multimodal Models against Common Corruptions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11943","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":"sha256:465e3d9639d59fa406efab4f443ce84ad117fb9cfcd49dd12136df2229d95084","target":"record","created_at":"2026-07-05T07:36:12Z","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":"d1bd7ed21d80f7b4f757ab06c8da3ddc364224eecee64113cf11550d8ba1ea9a","cross_cats_sorted":["cs.CL","cs.CR","cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-22T13:33:53Z","title_canon_sha256":"0d618f1e6dd3e66f1c7be80bdaf77ef8d47a9a455e4fa6ffe76c964b1471f638"},"schema_version":"1.0","source":{"id":"2401.11943","kind":"arxiv","version":1}},"canonical_sha256":"94d62680a068975c8fe2f6d890fc5af6e2bde2734f491b1064d241532d19112c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94d62680a068975c8fe2f6d890fc5af6e2bde2734f491b1064d241532d19112c","first_computed_at":"2026-07-05T07:36:12.603769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:12.603769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CB8LdNyAX9oSvwAEOzzsvy39cwvAkQpRRp5Bw3PNChetGFgB2GG0qviPEjGuqFkojrypSt25PD68ILldE81yCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:12.604253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.11943","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:465e3d9639d59fa406efab4f443ce84ad117fb9cfcd49dd12136df2229d95084","sha256:d7d2bddf13614057c38873b6e2f5ad86b4aa54f352643b5a8b49d23aed3d3b06"],"state_sha256":"2c8e2237506daa737be06e6f6a605816b9ab2b8393106ce5c1b4daad9ac4e0df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tXmp8ccz2Eu4W8q8VeNe4m6IZou7T5okWnOjHGQTedPWZpsQRlfP1lM3Fc4Xn6AV1nYvyBk8YkSyTGkncB4lCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T05:52:57.893470Z","bundle_sha256":"94fd76ccb8f83db6ec9efb2eed0dcb83fdb0eeb355829f90010012e37adb806f"}}