{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6XVUZVY3TS56QPRZ3G3PSEIHXS","short_pith_number":"pith:6XVUZVY3","canonical_record":{"source":{"id":"2505.16665","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T13:28:55Z","cross_cats_sorted":[],"title_canon_sha256":"1d0d53312ab04ace8aa90d5f15c81de9431e6090c1f9952b98fb869a5ca5e8cb","abstract_canon_sha256":"2ec39700345056b90daa320bdc7691cd07bb9ded9a13ed95b7ef830cede45633"},"schema_version":"1.0"},"canonical_sha256":"f5eb4cd71b9cbbe83e39d9b6f91107bca630f768044be1644f61f24c0e4c5fb0","source":{"kind":"arxiv","id":"2505.16665","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16665","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16665v1","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16665","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_12","alias_value":"6XVUZVY3TS56","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_16","alias_value":"6XVUZVY3TS56QPRZ","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_8","alias_value":"6XVUZVY3","created_at":"2026-07-05T11:07:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6XVUZVY3TS56QPRZ3G3PSEIHXS","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16665","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T13:28:55Z","cross_cats_sorted":[],"title_canon_sha256":"1d0d53312ab04ace8aa90d5f15c81de9431e6090c1f9952b98fb869a5ca5e8cb","abstract_canon_sha256":"2ec39700345056b90daa320bdc7691cd07bb9ded9a13ed95b7ef830cede45633"},"schema_version":"1.0"},"canonical_sha256":"f5eb4cd71b9cbbe83e39d9b6f91107bca630f768044be1644f61f24c0e4c5fb0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:38.698866Z","signature_b64":"blU1qGD6yAhjRRufmDAShADUTaxEtZu5trPh+gOo9LgYXuY5b08+g12dNF8a1vznG6YxhAKQJ9QgI0I08cJEBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5eb4cd71b9cbbe83e39d9b6f91107bca630f768044be1644f61f24c0e4c5fb0","last_reissued_at":"2026-07-05T11:07:38.698353Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:38.698353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16665","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":"2026-07-05T11:07:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ct+ifXF46GP1skPdifx5D6s7Yg/SosucUOviewiYuLGHYzo2M5FjNobe3QteBpTAUTmu2O1ET0APVtNVcx/YDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:29:26.698239Z"},"content_sha256":"077a7861a02fd1bd5a6f95c23277d867c1a051d8749b18f04107073b2f273762","schema_version":"1.0","event_id":"sha256:077a7861a02fd1bd5a6f95c23277d867c1a051d8749b18f04107073b2f273762"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6XVUZVY3TS56QPRZ3G3PSEIHXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Edith C. H. Ngai, Hewei Wang, Jinfeng Xu, Jinze Li, Mengran Li, Puzhen Wu, Shuo Yang, Yijie Li, Zheyu Chen","submitted_at":"2025-05-22T13:28:55Z","abstract_excerpt":"The data sparsity problem significantly hinders the performance of recommender systems, as traditional models rely on limited historical interactions to learn user preferences and item properties. While incorporating multimodal information can explicitly represent these preferences and properties, existing works often use it only as side information, failing to fully leverage its potential. In this paper, we propose MDVT, a model-agnostic approach that constructs multimodal-driven virtual triplets to provide valuable supervision signals, effectively mitigating the data sparsity problem in mult"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16665","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/2505.16665/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":"2026-07-05T11:07:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3jaoUsJ6gEz0IvNNdrsEn1qlL4uYu5vabFIL+ZMxQpdp9k0m442WZB8Rt0DMllBRAIDvjZGWe69x4sBC+0zOBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:29:26.698827Z"},"content_sha256":"b003e54dc72426fecb81e45e4301ab9928cdbd4ce95360cc27503638d507f3fb","schema_version":"1.0","event_id":"sha256:b003e54dc72426fecb81e45e4301ab9928cdbd4ce95360cc27503638d507f3fb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/bundle.json","state_url":"https://pith.science/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/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":"2026-08-06T01:29:26Z","links":{"resolver":"https://pith.science/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS","bundle":"https://pith.science/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/bundle.json","state":"https://pith.science/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6XVUZVY3TS56QPRZ3G3PSEIHXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6XVUZVY3TS56QPRZ3G3PSEIHXS","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":"2ec39700345056b90daa320bdc7691cd07bb9ded9a13ed95b7ef830cede45633","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T13:28:55Z","title_canon_sha256":"1d0d53312ab04ace8aa90d5f15c81de9431e6090c1f9952b98fb869a5ca5e8cb"},"schema_version":"1.0","source":{"id":"2505.16665","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16665","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16665v1","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16665","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_12","alias_value":"6XVUZVY3TS56","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_16","alias_value":"6XVUZVY3TS56QPRZ","created_at":"2026-07-05T11:07:38Z"},{"alias_kind":"pith_short_8","alias_value":"6XVUZVY3","created_at":"2026-07-05T11:07:38Z"}],"graph_snapshots":[{"event_id":"sha256:b003e54dc72426fecb81e45e4301ab9928cdbd4ce95360cc27503638d507f3fb","target":"graph","created_at":"2026-07-05T11:07:38Z","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/2505.16665/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The data sparsity problem significantly hinders the performance of recommender systems, as traditional models rely on limited historical interactions to learn user preferences and item properties. While incorporating multimodal information can explicitly represent these preferences and properties, existing works often use it only as side information, failing to fully leverage its potential. In this paper, we propose MDVT, a model-agnostic approach that constructs multimodal-driven virtual triplets to provide valuable supervision signals, effectively mitigating the data sparsity problem in mult","authors_text":"Edith C. H. Ngai, Hewei Wang, Jinfeng Xu, Jinze Li, Mengran Li, Puzhen Wu, Shuo Yang, Yijie Li, Zheyu Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T13:28:55Z","title":"MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16665","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":"sha256:077a7861a02fd1bd5a6f95c23277d867c1a051d8749b18f04107073b2f273762","target":"record","created_at":"2026-07-05T11:07:38Z","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":"2ec39700345056b90daa320bdc7691cd07bb9ded9a13ed95b7ef830cede45633","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-22T13:28:55Z","title_canon_sha256":"1d0d53312ab04ace8aa90d5f15c81de9431e6090c1f9952b98fb869a5ca5e8cb"},"schema_version":"1.0","source":{"id":"2505.16665","kind":"arxiv","version":1}},"canonical_sha256":"f5eb4cd71b9cbbe83e39d9b6f91107bca630f768044be1644f61f24c0e4c5fb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5eb4cd71b9cbbe83e39d9b6f91107bca630f768044be1644f61f24c0e4c5fb0","first_computed_at":"2026-07-05T11:07:38.698353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:38.698353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"blU1qGD6yAhjRRufmDAShADUTaxEtZu5trPh+gOo9LgYXuY5b08+g12dNF8a1vznG6YxhAKQJ9QgI0I08cJEBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:38.698866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16665","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:077a7861a02fd1bd5a6f95c23277d867c1a051d8749b18f04107073b2f273762","sha256:b003e54dc72426fecb81e45e4301ab9928cdbd4ce95360cc27503638d507f3fb"],"state_sha256":"5156bec7281ddc8d56fefe78b910d907ae010901619a75dadaa6b48ad96fd334"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TgAzhG5ONGECxaUN3onnKXuDBx9VSV+d2y5mpf/RVECnhgdsQttqB8dV60v0NkYBw1t9qdGMp0gD8m5vGQ0SCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:29:26.704115Z","bundle_sha256":"0f78aface694c53e58924c45ae655740987b9ff52f69f3b04c5921310c39365d"}}