{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GRTFEKYSJAGOPWOU7EXIY7WKSW","short_pith_number":"pith:GRTFEKYS","canonical_record":{"source":{"id":"2404.17590","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-19T08:43:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0faff9f7251994af703974908ca773eb253fbe64ae4d49aa5b9fc702f6d51196","abstract_canon_sha256":"338a730321ac9a961cb2aa9bdad8462bac4f6e825dfea14137c3b732ed1cca0e"},"schema_version":"1.0"},"canonical_sha256":"3466522b12480ce7d9d4f92e8c7eca95a82e887c056eb579e96ee35fb7c70685","source":{"kind":"arxiv","id":"2404.17590","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17590","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17590v1","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17590","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"GRTFEKYSJAGO","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"GRTFEKYSJAGOPWOU","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"GRTFEKYS","created_at":"2026-07-05T08:12:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GRTFEKYSJAGOPWOU7EXIY7WKSW","target":"record","payload":{"canonical_record":{"source":{"id":"2404.17590","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-19T08:43:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0faff9f7251994af703974908ca773eb253fbe64ae4d49aa5b9fc702f6d51196","abstract_canon_sha256":"338a730321ac9a961cb2aa9bdad8462bac4f6e825dfea14137c3b732ed1cca0e"},"schema_version":"1.0"},"canonical_sha256":"3466522b12480ce7d9d4f92e8c7eca95a82e887c056eb579e96ee35fb7c70685","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:51.424348Z","signature_b64":"258AndkKZDif8ldCOJRjQyzopOvxA8gldiIh2ijJzvkIt2IlLZkDCAw3JMh8lnE9bmla5iRnbf7Z8yewMBsuDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3466522b12480ce7d9d4f92e8c7eca95a82e887c056eb579e96ee35fb7c70685","last_reissued_at":"2026-07-05T08:12:51.423880Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:51.423880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.17590","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":"2026-07-05T08:12:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T6RbDArv4px3nIXOY0j6cYpZBgT4E7AEbRoN29YII2aQWnveC406gflahSyY9OPRd8hibkVr3BrSlPFSVUL/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:16:47.342924Z"},"content_sha256":"47a117f98e0e156a6a9bf702f1726c21240094c51da71706f5f13ebb8cd04856","schema_version":"1.0","event_id":"sha256:47a117f98e0e156a6a9bf702f1726c21240094c51da71706f5f13ebb8cd04856"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GRTFEKYSJAGOPWOU7EXIY7WKSW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Jeff Z. Pan, Ru Li, V\\'ictor Guti\\'errez-Basulto, Zhiliang Xiang, Zhiwei Hu","submitted_at":"2024-04-19T08:43:11Z","abstract_excerpt":"Multi-modal entity alignment (MMEA) aims to identify equivalent entity pairs across different multi-modal knowledge graphs (MMKGs). Existing approaches focus on how to better encode and aggregate information from different modalities. However, it is not trivial to leverage multi-modal knowledge in entity alignment due to the modal heterogeneity. In this paper, we propose a Multi-Grained Interaction framework for Multi-Modal Entity Alignment (MIMEA), which effectively realizes multi-granular interaction within the same modality or between different modalities. MIMEA is composed of four modules:"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17590","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/2404.17590/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":"2026-07-05T08:12:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/cLR+oH4aaY2H87d0vUIKfQpDH6+Smo2Accp4/P+GJCL1JfxHupwuMiP8p32u34Mt9N0MxUXjB6J19e/isrpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:16:47.343311Z"},"content_sha256":"617d96f43d3211536da2bf29fe2cea5134cff4d018220973aa4907d8dbb8aaa9","schema_version":"1.0","event_id":"sha256:617d96f43d3211536da2bf29fe2cea5134cff4d018220973aa4907d8dbb8aaa9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/bundle.json","state_url":"https://pith.science/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/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":"2026-08-20T05:16:47Z","links":{"resolver":"https://pith.science/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW","bundle":"https://pith.science/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/bundle.json","state":"https://pith.science/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GRTFEKYSJAGOPWOU7EXIY7WKSW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GRTFEKYSJAGOPWOU7EXIY7WKSW","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":"338a730321ac9a961cb2aa9bdad8462bac4f6e825dfea14137c3b732ed1cca0e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-19T08:43:11Z","title_canon_sha256":"0faff9f7251994af703974908ca773eb253fbe64ae4d49aa5b9fc702f6d51196"},"schema_version":"1.0","source":{"id":"2404.17590","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17590","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17590v1","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17590","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_12","alias_value":"GRTFEKYSJAGO","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_16","alias_value":"GRTFEKYSJAGOPWOU","created_at":"2026-07-05T08:12:51Z"},{"alias_kind":"pith_short_8","alias_value":"GRTFEKYS","created_at":"2026-07-05T08:12:51Z"}],"graph_snapshots":[{"event_id":"sha256:617d96f43d3211536da2bf29fe2cea5134cff4d018220973aa4907d8dbb8aaa9","target":"graph","created_at":"2026-07-05T08:12:51Z","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/2404.17590/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-modal entity alignment (MMEA) aims to identify equivalent entity pairs across different multi-modal knowledge graphs (MMKGs). Existing approaches focus on how to better encode and aggregate information from different modalities. However, it is not trivial to leverage multi-modal knowledge in entity alignment due to the modal heterogeneity. In this paper, we propose a Multi-Grained Interaction framework for Multi-Modal Entity Alignment (MIMEA), which effectively realizes multi-granular interaction within the same modality or between different modalities. MIMEA is composed of four modules:","authors_text":"Jeff Z. Pan, Ru Li, V\\'ictor Guti\\'errez-Basulto, Zhiliang Xiang, Zhiwei Hu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-19T08:43:11Z","title":"Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17590","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":"sha256:47a117f98e0e156a6a9bf702f1726c21240094c51da71706f5f13ebb8cd04856","target":"record","created_at":"2026-07-05T08:12:51Z","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":"338a730321ac9a961cb2aa9bdad8462bac4f6e825dfea14137c3b732ed1cca0e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2024-04-19T08:43:11Z","title_canon_sha256":"0faff9f7251994af703974908ca773eb253fbe64ae4d49aa5b9fc702f6d51196"},"schema_version":"1.0","source":{"id":"2404.17590","kind":"arxiv","version":1}},"canonical_sha256":"3466522b12480ce7d9d4f92e8c7eca95a82e887c056eb579e96ee35fb7c70685","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3466522b12480ce7d9d4f92e8c7eca95a82e887c056eb579e96ee35fb7c70685","first_computed_at":"2026-07-05T08:12:51.423880Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:51.423880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"258AndkKZDif8ldCOJRjQyzopOvxA8gldiIh2ijJzvkIt2IlLZkDCAw3JMh8lnE9bmla5iRnbf7Z8yewMBsuDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:51.424348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17590","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47a117f98e0e156a6a9bf702f1726c21240094c51da71706f5f13ebb8cd04856","sha256:617d96f43d3211536da2bf29fe2cea5134cff4d018220973aa4907d8dbb8aaa9"],"state_sha256":"7e08a28ab3d017f5b70d4a128b9af172760e8328457eaa1bc99eadeae4ecc591"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2assJo2+mW15R1Hz/VwCYpbKups5/IQaf7O629sybED67jjvvEPiZpPFPSW7Z/mGnc9MLSet7vH9ZN1++NpACw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T05:16:47.345749Z","bundle_sha256":"f15dc036ea3bc3a7ca98341eacf4b5e49e4e9ad704e01531cc1214214627f866"}}