{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FS5GCQO4CINFP2XW75A6ZDEALM","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":"dd7405a91a5b0a9a2a3ddaacaad5053386d2df329f403fc43d0d60b75fed789c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-17T11:22:20Z","title_canon_sha256":"dc1f9b3dd38c5df4497d9b742eb0cb2f04cd7886f7d271f4fe2324cc666911dd"},"schema_version":"1.0","source":{"id":"2602.15505","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.15505","created_at":"2026-07-28T02:23:26Z"},{"alias_kind":"arxiv_version","alias_value":"2602.15505v2","created_at":"2026-07-28T02:23:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15505","created_at":"2026-07-28T02:23:26Z"},{"alias_kind":"pith_short_12","alias_value":"FS5GCQO4CINF","created_at":"2026-07-28T02:23:26Z"},{"alias_kind":"pith_short_16","alias_value":"FS5GCQO4CINFP2XW","created_at":"2026-07-28T02:23:26Z"},{"alias_kind":"pith_short_8","alias_value":"FS5GCQO4","created_at":"2026-07-28T02:23:26Z"}],"graph_snapshots":[{"event_id":"sha256:65f2a6a999603b909e45d19269afd5e4e01403fba2e83144ae7908586dfcab40","target":"graph","created_at":"2026-07-28T02:23:26Z","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/2602.15505/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Multimodal Recommender Systems gain interest, high-quality datasets with multimedia side information have become essential. However, much of the current literature reports experiments that rely on small-scale, undocumented, or non-public datasets. In this paper, we introduce M3L-10M and M3L-20M, two large-scale, fully documented and reproducible datasets that enrich MovieLens-10M and MovieLens-20M with multimodal features. Following a documented pipeline, we collect movie plots, posters, and trailers and extract features using state-of-the-art encoders. We publicly release raw data mappings","authors_text":"Alessandro Petruzzelli, Cataldo Musto, Giovanni Semeraro, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-17T11:22:20Z","title":"Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15505","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:f9a0fa77e27f91fcfdf733d574793fcd43add992d3c4e253f11990b8ec997601","target":"record","created_at":"2026-07-28T02:23:26Z","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":"dd7405a91a5b0a9a2a3ddaacaad5053386d2df329f403fc43d0d60b75fed789c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-02-17T11:22:20Z","title_canon_sha256":"dc1f9b3dd38c5df4497d9b742eb0cb2f04cd7886f7d271f4fe2324cc666911dd"},"schema_version":"1.0","source":{"id":"2602.15505","kind":"arxiv","version":2}},"canonical_sha256":"2cba6141dc121a57eaf6ff41ec8c805b1c1f8f295fe3f01d44c25119af6eebcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cba6141dc121a57eaf6ff41ec8c805b1c1f8f295fe3f01d44c25119af6eebcc","first_computed_at":"2026-07-28T02:23:26.238519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T02:23:26.238519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eAdtQ/2zrPM7w849Vak32cvmv4Wx9GYiX6i/tZQt6YjRKj2+8VN9+bAm87bn+aLaovUdyldKkNrVgm+tWPtIDg==","signature_status":"signed_v1","signed_at":"2026-07-28T02:23:26.239568Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.15505","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9a0fa77e27f91fcfdf733d574793fcd43add992d3c4e253f11990b8ec997601","sha256:65f2a6a999603b909e45d19269afd5e4e01403fba2e83144ae7908586dfcab40"],"state_sha256":"52b42e1112a7b5168b857aab46859c1a3b7eb76817d4d69830985fe783542483"}