{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:M4XGPNJQ6GUEIWDSOQBPGA7WQB","short_pith_number":"pith:M4XGPNJQ","canonical_record":{"source":{"id":"2501.01066","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2025-01-02T05:30:19Z","cross_cats_sorted":[],"title_canon_sha256":"de3acc3e4d7c868c3a7c489446b273065946f4b27f54d9c31f67d24aa26c6e41","abstract_canon_sha256":"8073c35b7e1a05cebaa60d4255e9723b0d18f19d1ea859c9f876d03fd37082a5"},"schema_version":"1.0"},"canonical_sha256":"672e67b530f1a84458727402f303f68065401bd375c8535ce5696591386e39c7","source":{"kind":"arxiv","id":"2501.01066","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01066","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01066v1","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01066","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_12","alias_value":"M4XGPNJQ6GUE","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_16","alias_value":"M4XGPNJQ6GUEIWDS","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_8","alias_value":"M4XGPNJQ","created_at":"2026-07-05T09:56:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:M4XGPNJQ6GUEIWDSOQBPGA7WQB","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01066","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2025-01-02T05:30:19Z","cross_cats_sorted":[],"title_canon_sha256":"de3acc3e4d7c868c3a7c489446b273065946f4b27f54d9c31f67d24aa26c6e41","abstract_canon_sha256":"8073c35b7e1a05cebaa60d4255e9723b0d18f19d1ea859c9f876d03fd37082a5"},"schema_version":"1.0"},"canonical_sha256":"672e67b530f1a84458727402f303f68065401bd375c8535ce5696591386e39c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:14.189123Z","signature_b64":"FLd6FBdwgPjxjRjFmOr9st/i+KCp1HHJj8mWvA3ez0wYBQD2NKsZxLG+PwnheB7PWq3NefLDHYdMY/PQSWKGAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"672e67b530f1a84458727402f303f68065401bd375c8535ce5696591386e39c7","last_reissued_at":"2026-07-05T09:56:14.188575Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:14.188575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01066","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":"2026-07-05T09:56:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t80D3E8waD+R9HN6YW5NJuD46iWR+uRKJ7UYO/8n8HWsbbe8FBZdI79+5QrJnsyFXW5mmmcJuNM5WNn3x5uKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:54:06.363629Z"},"content_sha256":"b7c0706063a5c39782f440b42dd9fcb15ad14f75ebeb41ed4a7242d26d6d8f80","schema_version":"1.0","event_id":"sha256:b7c0706063a5c39782f440b42dd9fcb15ad14f75ebeb41ed4a7242d26d6d8f80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:M4XGPNJQ6GUEIWDSOQBPGA7WQB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Bin Sun, Jiajun Hu, Lin Xiao, Qiya Song, Shutao Li, Xieping Gao","submitted_at":"2025-01-02T05:30:19Z","abstract_excerpt":"Multimodal recommendation systems integrate diverse multimodal information into the feature representations of both items and users, thereby enabling a more comprehensive modeling of user preferences. However, existing methods are hindered by data sparsity and the inherent noise within multimodal data, which impedes the accurate capture of users' interest preferences. Additionally, discrepancies in the semantic representations of items across different modalities can adversely impact the prediction accuracy of recommendation models. To address these challenges, we introduce a novel diffusion-b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01066","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/2501.01066/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":"2026-07-05T09:56:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fV255hVNKTTd/p2pwqWBKiajyTo3MXjWM/51FreqZTXG2fPA6D8HFZ1RGzjcVh5G8gQ/PvLAaraK50VI5CcYBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:54:06.364281Z"},"content_sha256":"b7c2ffe7110f91d00c79592e0d872186d7cc284f8b1e6ae1320d88db0b5ea56a","schema_version":"1.0","event_id":"sha256:b7c2ffe7110f91d00c79592e0d872186d7cc284f8b1e6ae1320d88db0b5ea56a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/bundle.json","state_url":"https://pith.science/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/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":"2026-08-19T04:54:06Z","links":{"resolver":"https://pith.science/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB","bundle":"https://pith.science/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/bundle.json","state":"https://pith.science/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M4XGPNJQ6GUEIWDSOQBPGA7WQB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:M4XGPNJQ6GUEIWDSOQBPGA7WQB","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":"8073c35b7e1a05cebaa60d4255e9723b0d18f19d1ea859c9f876d03fd37082a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2025-01-02T05:30:19Z","title_canon_sha256":"de3acc3e4d7c868c3a7c489446b273065946f4b27f54d9c31f67d24aa26c6e41"},"schema_version":"1.0","source":{"id":"2501.01066","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01066","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01066v1","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01066","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_12","alias_value":"M4XGPNJQ6GUE","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_16","alias_value":"M4XGPNJQ6GUEIWDS","created_at":"2026-07-05T09:56:14Z"},{"alias_kind":"pith_short_8","alias_value":"M4XGPNJQ","created_at":"2026-07-05T09:56:14Z"}],"graph_snapshots":[{"event_id":"sha256:b7c2ffe7110f91d00c79592e0d872186d7cc284f8b1e6ae1320d88db0b5ea56a","target":"graph","created_at":"2026-07-05T09:56:14Z","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/2501.01066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal recommendation systems integrate diverse multimodal information into the feature representations of both items and users, thereby enabling a more comprehensive modeling of user preferences. However, existing methods are hindered by data sparsity and the inherent noise within multimodal data, which impedes the accurate capture of users' interest preferences. Additionally, discrepancies in the semantic representations of items across different modalities can adversely impact the prediction accuracy of recommendation models. To address these challenges, we introduce a novel diffusion-b","authors_text":"Bin Sun, Jiajun Hu, Lin Xiao, Qiya Song, Shutao Li, Xieping Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2025-01-02T05:30:19Z","title":"DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01066","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:b7c0706063a5c39782f440b42dd9fcb15ad14f75ebeb41ed4a7242d26d6d8f80","target":"record","created_at":"2026-07-05T09:56:14Z","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":"8073c35b7e1a05cebaa60d4255e9723b0d18f19d1ea859c9f876d03fd37082a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2025-01-02T05:30:19Z","title_canon_sha256":"de3acc3e4d7c868c3a7c489446b273065946f4b27f54d9c31f67d24aa26c6e41"},"schema_version":"1.0","source":{"id":"2501.01066","kind":"arxiv","version":1}},"canonical_sha256":"672e67b530f1a84458727402f303f68065401bd375c8535ce5696591386e39c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"672e67b530f1a84458727402f303f68065401bd375c8535ce5696591386e39c7","first_computed_at":"2026-07-05T09:56:14.188575Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:14.188575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FLd6FBdwgPjxjRjFmOr9st/i+KCp1HHJj8mWvA3ez0wYBQD2NKsZxLG+PwnheB7PWq3NefLDHYdMY/PQSWKGAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:14.189123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01066","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7c0706063a5c39782f440b42dd9fcb15ad14f75ebeb41ed4a7242d26d6d8f80","sha256:b7c2ffe7110f91d00c79592e0d872186d7cc284f8b1e6ae1320d88db0b5ea56a"],"state_sha256":"c57cb37082c5eaca0f7bf3121968833211848061881274efd8e11c259786b607"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpakjTGi4zGiHECfGmuMI7ezmgWaIsOlZDa/GANWyrKfyTMi3bLvQjKPP00EPgN8DPrE0q3Bebkknw5LpBDHDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T04:54:06.368353Z","bundle_sha256":"2ee670ea8199891dcf05606bbecd8087befeda6b0ef2adbc464735767dc1368b"}}