{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:32XD3NHYL3PZEMFHWT55H6BYCS","short_pith_number":"pith:32XD3NHY","canonical_record":{"source":{"id":"2406.11193","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T03:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"8b223cfd46c9dd108ccbd5db1f057dda9e54f682b4643f21a95c9afec8d42b24","abstract_canon_sha256":"45c99d2ff2b97a70807ccc0fb773e2aaba84f7b57ff84bffdf5c800fdcf82dbb"},"schema_version":"1.0"},"canonical_sha256":"deae3db4f85edf9230a7b4fbd3f83814bdc1e85fec30bcd4ded720bb8fcd0fd1","source":{"kind":"arxiv","id":"2406.11193","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11193","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11193v2","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11193","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"32XD3NHYL3PZ","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"32XD3NHYL3PZEMFH","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"32XD3NHY","created_at":"2026-07-05T11:06:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:32XD3NHYL3PZEMFHWT55H6BYCS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.11193","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T03:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"8b223cfd46c9dd108ccbd5db1f057dda9e54f682b4643f21a95c9afec8d42b24","abstract_canon_sha256":"45c99d2ff2b97a70807ccc0fb773e2aaba84f7b57ff84bffdf5c800fdcf82dbb"},"schema_version":"1.0"},"canonical_sha256":"deae3db4f85edf9230a7b4fbd3f83814bdc1e85fec30bcd4ded720bb8fcd0fd1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:08.192045Z","signature_b64":"BCX+cJt1eOgnWdVTOhVzZPgB9OBWGm8ZfjwFNQkaxuU7LGQ0/IYqP9hhDEsK/2wg8Sb/RiIDtFQMOtWT0hdZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"deae3db4f85edf9230a7b4fbd3f83814bdc1e85fec30bcd4ded720bb8fcd0fd1","last_reissued_at":"2026-07-05T11:06:08.191556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:08.191556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.11193","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":"2026-07-05T11:06:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fDWyJpDp2Lykdj6Kl4JWu3r2z9A9rdq4sPmFOGBRSA55c51hg0Df/2kgTkOCMRI9LAxnyW///NOv/E2fKhyyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:04:05.805206Z"},"content_sha256":"4390488c209459383c0f36f07e8885439801573e53f785193ccfe15ff2ce4fd7","schema_version":"1.0","event_id":"sha256:4390488c209459383c0f36f07e8885439801573e53f785193ccfe15ff2ce4fd7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:32XD3NHYL3PZEMFHWT55H6BYCS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Boren Hu, Jiahao Huo, Xuming Hu, Yibo Yan, Yutao Yue","submitted_at":"2024-06-17T03:59:44Z","abstract_excerpt":"Projecting visual features into word embedding space has become a significant fusion strategy adopted by Multimodal Large Language Models (MLLMs). However, its internal mechanisms have yet to be explored. Inspired by multilingual research, we identify domain-specific neurons in multimodal large language models. Specifically, we investigate the distribution of domain-specific neurons and the mechanism of how MLLMs process features from diverse domains. Furthermore, we propose a three-stage mechanism for language model modules in MLLMs when handling projected image features, and verify this hypo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11193","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/2406.11193/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":"2026-07-05T11:06:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zitL1fmvdmcUmdTYaC+QDm3E48BxRArynuhutK3tv/Ym6atye+ig5fSHGCFBa/KvHfDeJ78eeAXC6Wosg0AaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:04:05.806110Z"},"content_sha256":"f54cdb085f8dbbc8786e8c204565f9fb72a0c56e57b06bbd21966802528e5b02","schema_version":"1.0","event_id":"sha256:f54cdb085f8dbbc8786e8c204565f9fb72a0c56e57b06bbd21966802528e5b02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/32XD3NHYL3PZEMFHWT55H6BYCS/bundle.json","state_url":"https://pith.science/pith/32XD3NHYL3PZEMFHWT55H6BYCS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/32XD3NHYL3PZEMFHWT55H6BYCS/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":"2026-08-05T12:04:05Z","links":{"resolver":"https://pith.science/pith/32XD3NHYL3PZEMFHWT55H6BYCS","bundle":"https://pith.science/pith/32XD3NHYL3PZEMFHWT55H6BYCS/bundle.json","state":"https://pith.science/pith/32XD3NHYL3PZEMFHWT55H6BYCS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/32XD3NHYL3PZEMFHWT55H6BYCS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:32XD3NHYL3PZEMFHWT55H6BYCS","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":"45c99d2ff2b97a70807ccc0fb773e2aaba84f7b57ff84bffdf5c800fdcf82dbb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T03:59:44Z","title_canon_sha256":"8b223cfd46c9dd108ccbd5db1f057dda9e54f682b4643f21a95c9afec8d42b24"},"schema_version":"1.0","source":{"id":"2406.11193","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11193","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11193v2","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11193","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_12","alias_value":"32XD3NHYL3PZ","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_16","alias_value":"32XD3NHYL3PZEMFH","created_at":"2026-07-05T11:06:08Z"},{"alias_kind":"pith_short_8","alias_value":"32XD3NHY","created_at":"2026-07-05T11:06:08Z"}],"graph_snapshots":[{"event_id":"sha256:f54cdb085f8dbbc8786e8c204565f9fb72a0c56e57b06bbd21966802528e5b02","target":"graph","created_at":"2026-07-05T11:06:08Z","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/2406.11193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Projecting visual features into word embedding space has become a significant fusion strategy adopted by Multimodal Large Language Models (MLLMs). However, its internal mechanisms have yet to be explored. Inspired by multilingual research, we identify domain-specific neurons in multimodal large language models. Specifically, we investigate the distribution of domain-specific neurons and the mechanism of how MLLMs process features from diverse domains. Furthermore, we propose a three-stage mechanism for language model modules in MLLMs when handling projected image features, and verify this hypo","authors_text":"Boren Hu, Jiahao Huo, Xuming Hu, Yibo Yan, Yutao Yue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11193","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":"sha256:4390488c209459383c0f36f07e8885439801573e53f785193ccfe15ff2ce4fd7","target":"record","created_at":"2026-07-05T11:06:08Z","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":"45c99d2ff2b97a70807ccc0fb773e2aaba84f7b57ff84bffdf5c800fdcf82dbb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T03:59:44Z","title_canon_sha256":"8b223cfd46c9dd108ccbd5db1f057dda9e54f682b4643f21a95c9afec8d42b24"},"schema_version":"1.0","source":{"id":"2406.11193","kind":"arxiv","version":2}},"canonical_sha256":"deae3db4f85edf9230a7b4fbd3f83814bdc1e85fec30bcd4ded720bb8fcd0fd1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"deae3db4f85edf9230a7b4fbd3f83814bdc1e85fec30bcd4ded720bb8fcd0fd1","first_computed_at":"2026-07-05T11:06:08.191556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:08.191556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BCX+cJt1eOgnWdVTOhVzZPgB9OBWGm8ZfjwFNQkaxuU7LGQ0/IYqP9hhDEsK/2wg8Sb/RiIDtFQMOtWT0hdZCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:08.192045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11193","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4390488c209459383c0f36f07e8885439801573e53f785193ccfe15ff2ce4fd7","sha256:f54cdb085f8dbbc8786e8c204565f9fb72a0c56e57b06bbd21966802528e5b02"],"state_sha256":"bb313a1fdc82e1e111cba9e9d62cc58ed5a68d8b569bf9f1fee169f6e445c1b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qk62UcEgM0u0lQ0uPQsVJWWGN+Po6Al9dGHbuCN1Rhlm6k7AhKWuvP4YLvDGRggoLUOPGmUbwJlEW8JIzi4wCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:04:05.813050Z","bundle_sha256":"adedbd4919148c52be4f09e65f1d301b02e729e9f2e82e394e34c4180bb15195"}}