{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5A7KOMSGKNZJ37ZFLU4HZPCRAZ","short_pith_number":"pith:5A7KOMSG","schema_version":"1.0","canonical_sha256":"e83ea7324653729dff255d387cbc510669f7886d1cc67450d9656cba4433a12a","source":{"kind":"arxiv","id":"2606.00584","version":1},"attestation_state":"computed","paper":{"title":"Spectra-Guided Neural Tucker Factorization","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Fusheng Wang, Yikai Hou","submitted_at":"2026-05-30T07:24:54Z","abstract_excerpt":"This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits, SG-NTF maps scalar timestamps into a continuous spectral space to abstract temporal periodicities. Concurrently, a Spatio-Temporal Co-Gating (STCG) mechanism explicitly filters latent interactions via multiplicative modulation on spatiotemporal contexts. Evaluations on real-world HDI tensors verify that SG-NTF maintains competitive completion accuracy with parameter efficiency."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.00584","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ML","submitted_at":"2026-05-30T07:24:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"de621f6bcb6d4d1233fbcdfab42934357181aff47996c835c0522998fcad581f","abstract_canon_sha256":"a582ad906dc9abe322e60bb46c6c258abb9a41e855be73ca12bc6ea87e9265f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:58.936606Z","signature_b64":"H5lHh74Qo/dUcVVEpjphqxXK4id82aF0myOivm8mMAvrXB1w/jHxwxYnWpkdPDcNPblVnyFnfKeasVYWMGTNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e83ea7324653729dff255d387cbc510669f7886d1cc67450d9656cba4433a12a","last_reissued_at":"2026-06-02T01:03:58.936105Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:58.936105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spectra-Guided Neural Tucker Factorization","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Fusheng Wang, Yikai Hou","submitted_at":"2026-05-30T07:24:54Z","abstract_excerpt":"This paper proposes Spectra-Guided Neural Tucker Factorization (SG-NTF) for High-Dimensional and Incomplete (HDI) tensor completion. Circumventing discrete representational limits, SG-NTF maps scalar timestamps into a continuous spectral space to abstract temporal periodicities. Concurrently, a Spatio-Temporal Co-Gating (STCG) mechanism explicitly filters latent interactions via multiplicative modulation on spatiotemporal contexts. Evaluations on real-world HDI tensors verify that SG-NTF maintains competitive completion accuracy with parameter efficiency."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00584","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/2606.00584/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.00584","created_at":"2026-06-02T01:03:58.936174+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.00584v1","created_at":"2026-06-02T01:03:58.936174+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00584","created_at":"2026-06-02T01:03:58.936174+00:00"},{"alias_kind":"pith_short_12","alias_value":"5A7KOMSGKNZJ","created_at":"2026-06-02T01:03:58.936174+00:00"},{"alias_kind":"pith_short_16","alias_value":"5A7KOMSGKNZJ37ZF","created_at":"2026-06-02T01:03:58.936174+00:00"},{"alias_kind":"pith_short_8","alias_value":"5A7KOMSG","created_at":"2026-06-02T01:03:58.936174+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ","json":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ.json","graph_json":"https://pith.science/api/pith-number/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/graph.json","events_json":"https://pith.science/api/pith-number/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/events.json","paper":"https://pith.science/paper/5A7KOMSG"},"agent_actions":{"view_html":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ","download_json":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ.json","view_paper":"https://pith.science/paper/5A7KOMSG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.00584&json=true","fetch_graph":"https://pith.science/api/pith-number/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/graph.json","fetch_events":"https://pith.science/api/pith-number/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/action/storage_attestation","attest_author":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/action/author_attestation","sign_citation":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/action/citation_signature","submit_replication":"https://pith.science/pith/5A7KOMSGKNZJ37ZFLU4HZPCRAZ/action/replication_record"}},"created_at":"2026-06-02T01:03:58.936174+00:00","updated_at":"2026-06-02T01:03:58.936174+00:00"}