{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:REMCTYK5MDY3LVSX6M4HU3S2JI","short_pith_number":"pith:REMCTYK5","canonical_record":{"source":{"id":"2310.08475","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:32:44Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","cs.MM"],"title_canon_sha256":"950988d7a2da2b4928e1929910bb7761ea96035f64fcf4651187f8e15bfa641b","abstract_canon_sha256":"ad75fcdfca3cf5355bf33b799866206611607fee5d60e1690824fc119d716bb3"},"schema_version":"1.0"},"canonical_sha256":"891829e15d60f1b5d657f3387a6e5a4a2449449a457ffdaf865281e1289c628f","source":{"kind":"arxiv","id":"2310.08475","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08475","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08475v5","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08475","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_12","alias_value":"REMCTYK5MDY3","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_16","alias_value":"REMCTYK5MDY3LVSX","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_8","alias_value":"REMCTYK5","created_at":"2026-07-05T08:09:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:REMCTYK5MDY3LVSX6M4HU3S2JI","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08475","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:32:44Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","cs.MM"],"title_canon_sha256":"950988d7a2da2b4928e1929910bb7761ea96035f64fcf4651187f8e15bfa641b","abstract_canon_sha256":"ad75fcdfca3cf5355bf33b799866206611607fee5d60e1690824fc119d716bb3"},"schema_version":"1.0"},"canonical_sha256":"891829e15d60f1b5d657f3387a6e5a4a2449449a457ffdaf865281e1289c628f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:09:25.586165Z","signature_b64":"pdH0HcSTCs6Jcl7wcfv6bAg4D3x1ZaEeApDLjj+kOX0DVThDuiuqZ3UzDwWeBGQ/bz8lIhS+1Lc1e8fxGXMTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"891829e15d60f1b5d657f3387a6e5a4a2449449a457ffdaf865281e1289c628f","last_reissued_at":"2026-07-05T08:09:25.585634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:09:25.585634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08475","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:09:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oe6/Qx9jG3BdcNhQQnVJ9yuEMADfS965zT3eFpga+j8pX3PvQoFH9B6E3AY7kAnCb4LrnSRdB4kFXfRm/mhsDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:03:45.919691Z"},"content_sha256":"aa4554a73f701704bc13613b5ddf52de18a5b1de682bdbcbed3bca2ba5155c1f","schema_version":"1.0","event_id":"sha256:aa4554a73f701704bc13613b5ddf52de18a5b1de682bdbcbed3bca2ba5155c1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:REMCTYK5MDY3LVSX6M4HU3S2JI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can We Edit Multimodal Large Language Models?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG","cs.MM"],"primary_cat":"cs.CL","authors_text":"Bozhong Tian, Huajun Chen, Ningyu Zhang, Qingbin Liu, Siyuan Cheng, Xi Chen, Yongheng Wang","submitted_at":"2023-10-12T16:32:44Z","abstract_excerpt":"In this paper, we focus on editing Multimodal Large Language Models (MLLMs). Compared to editing single-modal LLMs, multimodal model editing is more challenging, which demands a higher level of scrutiny and careful consideration in the editing process. To facilitate research in this area, we construct a new benchmark, dubbed MMEdit, for editing multimodal LLMs and establishing a suite of innovative metrics for evaluation. We conduct comprehensive experiments involving various model editing baselines and analyze the impact of editing different components for multimodal LLMs. Empirically, we not"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08475","kind":"arxiv","version":5},"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/2310.08475/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":"2026-07-05T08:09:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b+/yijPy2cDxC1TJLvFsLM4s0qR/o0kJocF2USSsJmyKqAp/2oBz8lwxCU9guKf5iY8xuGrz01aL2iG033Z9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T20:03:45.920197Z"},"content_sha256":"cdc22e0c6421e91d7ff6b6f712f8a8f039cc0e683ec34db51dbcddb1733c233a","schema_version":"1.0","event_id":"sha256:cdc22e0c6421e91d7ff6b6f712f8a8f039cc0e683ec34db51dbcddb1733c233a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/bundle.json","state_url":"https://pith.science/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/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":"2026-08-04T20:03:45Z","links":{"resolver":"https://pith.science/pith/REMCTYK5MDY3LVSX6M4HU3S2JI","bundle":"https://pith.science/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/bundle.json","state":"https://pith.science/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/REMCTYK5MDY3LVSX6M4HU3S2JI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:REMCTYK5MDY3LVSX6M4HU3S2JI","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":"ad75fcdfca3cf5355bf33b799866206611607fee5d60e1690824fc119d716bb3","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:32:44Z","title_canon_sha256":"950988d7a2da2b4928e1929910bb7761ea96035f64fcf4651187f8e15bfa641b"},"schema_version":"1.0","source":{"id":"2310.08475","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08475","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08475v5","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08475","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_12","alias_value":"REMCTYK5MDY3","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_16","alias_value":"REMCTYK5MDY3LVSX","created_at":"2026-07-05T08:09:25Z"},{"alias_kind":"pith_short_8","alias_value":"REMCTYK5","created_at":"2026-07-05T08:09:25Z"}],"graph_snapshots":[{"event_id":"sha256:cdc22e0c6421e91d7ff6b6f712f8a8f039cc0e683ec34db51dbcddb1733c233a","target":"graph","created_at":"2026-07-05T08:09:25Z","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/2310.08475/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we focus on editing Multimodal Large Language Models (MLLMs). Compared to editing single-modal LLMs, multimodal model editing is more challenging, which demands a higher level of scrutiny and careful consideration in the editing process. To facilitate research in this area, we construct a new benchmark, dubbed MMEdit, for editing multimodal LLMs and establishing a suite of innovative metrics for evaluation. We conduct comprehensive experiments involving various model editing baselines and analyze the impact of editing different components for multimodal LLMs. Empirically, we not","authors_text":"Bozhong Tian, Huajun Chen, Ningyu Zhang, Qingbin Liu, Siyuan Cheng, Xi Chen, Yongheng Wang","cross_cats":["cs.AI","cs.CV","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:32:44Z","title":"Can We Edit Multimodal Large Language Models?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08475","kind":"arxiv","version":5},"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:aa4554a73f701704bc13613b5ddf52de18a5b1de682bdbcbed3bca2ba5155c1f","target":"record","created_at":"2026-07-05T08:09:25Z","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":"ad75fcdfca3cf5355bf33b799866206611607fee5d60e1690824fc119d716bb3","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-12T16:32:44Z","title_canon_sha256":"950988d7a2da2b4928e1929910bb7761ea96035f64fcf4651187f8e15bfa641b"},"schema_version":"1.0","source":{"id":"2310.08475","kind":"arxiv","version":5}},"canonical_sha256":"891829e15d60f1b5d657f3387a6e5a4a2449449a457ffdaf865281e1289c628f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"891829e15d60f1b5d657f3387a6e5a4a2449449a457ffdaf865281e1289c628f","first_computed_at":"2026-07-05T08:09:25.585634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:25.585634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pdH0HcSTCs6Jcl7wcfv6bAg4D3x1ZaEeApDLjj+kOX0DVThDuiuqZ3UzDwWeBGQ/bz8lIhS+1Lc1e8fxGXMTAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:25.586165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08475","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa4554a73f701704bc13613b5ddf52de18a5b1de682bdbcbed3bca2ba5155c1f","sha256:cdc22e0c6421e91d7ff6b6f712f8a8f039cc0e683ec34db51dbcddb1733c233a"],"state_sha256":"2fea2bb2b3448220f969b67df25e35bd56d81291e039b5a472597e87bf7ca315"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TtGx3KOtH34RBzcY8wvl26af8XQgBM+VZ5I3Mnvbv/CkhGfw8Hv3NumO/g3utZmiLkAdgHY//MjE50g0O0oBAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T20:03:45.924268Z","bundle_sha256":"53bfd4a545471936b76dbd2451fe11e353460f1aad58575f10e8613411e45512"}}