{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3JP2FMNHUL2PMBJZYHKY5NW5LU","short_pith_number":"pith:3JP2FMNH","schema_version":"1.0","canonical_sha256":"da5fa2b1a7a2f4f60539c1d58eb6dd5d3f4efb727c435cd19022b5cea56660ec","source":{"kind":"arxiv","id":"2605.22476","version":1},"attestation_state":"computed","paper":{"title":"Structured-Sparse Attention for Entity Tracking with Subquadratic Sequence Complexity","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Alexandre Allauzen, Erwan Fagnou, Hangyue Zhao, Paul Caillon","submitted_at":"2026-05-21T13:35:48Z","abstract_excerpt":"Entity tracking requires maintaining and updating latent states for entities and attributes over long sequences. Recent task-specific attention operators can compress deep Transformer stacks into a few layers by performing multi-hop state propagation within a single layer, but their dense evaluation remains expensive. We show that in this setting, learned attention is strongly structured: most mass concentrates in local block-diagonal neighborhoods with a light cross-block residue. Exploiting this, we derive a blockwise evaluation of a resolvent-style operator that keeps within-block interacti"},"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":"2605.22476","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-21T13:35:48Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3435f3403c2cf742c62eaee81e1359b06cee1f5dbad03959e6c4d0331ebe401b","abstract_canon_sha256":"61060a42ae5660915466af53a33f95a1c9975d3ee110056d7f986ac641885574"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:44.714932Z","signature_b64":"E9dzNx3kuun+71psSgcgYytL1i8yLfPoD5fvfcdNjrq3lltHCINXT/yvRU+PNnC5J3A2qPwDUHTwIeh4BG5FCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da5fa2b1a7a2f4f60539c1d58eb6dd5d3f4efb727c435cd19022b5cea56660ec","last_reissued_at":"2026-05-22T01:04:44.714091Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:44.714091Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Structured-Sparse Attention for Entity Tracking with Subquadratic Sequence Complexity","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Alexandre Allauzen, Erwan Fagnou, Hangyue Zhao, Paul Caillon","submitted_at":"2026-05-21T13:35:48Z","abstract_excerpt":"Entity tracking requires maintaining and updating latent states for entities and attributes over long sequences. Recent task-specific attention operators can compress deep Transformer stacks into a few layers by performing multi-hop state propagation within a single layer, but their dense evaluation remains expensive. We show that in this setting, learned attention is strongly structured: most mass concentrates in local block-diagonal neighborhoods with a light cross-block residue. Exploiting this, we derive a blockwise evaluation of a resolvent-style operator that keeps within-block interacti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22476","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/2605.22476/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":"2605.22476","created_at":"2026-05-22T01:04:44.714231+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22476v1","created_at":"2026-05-22T01:04:44.714231+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22476","created_at":"2026-05-22T01:04:44.714231+00:00"},{"alias_kind":"pith_short_12","alias_value":"3JP2FMNHUL2P","created_at":"2026-05-22T01:04:44.714231+00:00"},{"alias_kind":"pith_short_16","alias_value":"3JP2FMNHUL2PMBJZ","created_at":"2026-05-22T01:04:44.714231+00:00"},{"alias_kind":"pith_short_8","alias_value":"3JP2FMNH","created_at":"2026-05-22T01:04:44.714231+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/3JP2FMNHUL2PMBJZYHKY5NW5LU","json":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU.json","graph_json":"https://pith.science/api/pith-number/3JP2FMNHUL2PMBJZYHKY5NW5LU/graph.json","events_json":"https://pith.science/api/pith-number/3JP2FMNHUL2PMBJZYHKY5NW5LU/events.json","paper":"https://pith.science/paper/3JP2FMNH"},"agent_actions":{"view_html":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU","download_json":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU.json","view_paper":"https://pith.science/paper/3JP2FMNH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22476&json=true","fetch_graph":"https://pith.science/api/pith-number/3JP2FMNHUL2PMBJZYHKY5NW5LU/graph.json","fetch_events":"https://pith.science/api/pith-number/3JP2FMNHUL2PMBJZYHKY5NW5LU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU/action/storage_attestation","attest_author":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU/action/author_attestation","sign_citation":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU/action/citation_signature","submit_replication":"https://pith.science/pith/3JP2FMNHUL2PMBJZYHKY5NW5LU/action/replication_record"}},"created_at":"2026-05-22T01:04:44.714231+00:00","updated_at":"2026-05-22T01:04:44.714231+00:00"}