{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ACSOGOVCT2M3EF6TXVDMYWJOM2","short_pith_number":"pith:ACSOGOVC","schema_version":"1.0","canonical_sha256":"00a4e33aa29e99b217d3bd46cc592e668a34be599b2b7cb3dc990b81ade26a90","source":{"kind":"arxiv","id":"2606.27229","version":1},"attestation_state":"computed","paper":{"title":"CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Sayak Dutta","submitted_at":"2026-06-25T16:16:51Z","abstract_excerpt":"Recurrent models must forget in order to remember, yet the state of the art decides what to erase without consulting what is stored -- the gate sees only the arriving token, not the memory it is about to modify. This memory-blind gating is one of three coupled defects in the leading delta-rule architecture (GDN-2): the value-axis erase mask wastes parameters at the scale of the value projection, and -- as we prove -- mathematically prevents the WY-form triangular chunk solver that makes recurrent training competitive with Transformers.\n  We introduce CARVE (Content-Aware Recurrent with Value E"},"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":"2606.27229","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-25T16:16:51Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"b3d8a5c548b0c7cbd3247e404c57dfbf6d251dc4d5bf99985de705734e2eafa2","abstract_canon_sha256":"dcd9dd3324a25334c999a607df33e33638d7392add0b00abcbb7097d81538bfa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:16:15.750431Z","signature_b64":"4r0rRamp17QlWhaRjmtYGnUbLXIXLVOx6NR66JOSOK/64CpRElGthU8WK7azBXlRt/BMsHz0lw4x3dt5t7y7DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00a4e33aa29e99b217d3bd46cc592e668a34be599b2b7cb3dc990b81ade26a90","last_reissued_at":"2026-06-26T01:16:15.750038Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:16:15.750038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Sayak Dutta","submitted_at":"2026-06-25T16:16:51Z","abstract_excerpt":"Recurrent models must forget in order to remember, yet the state of the art decides what to erase without consulting what is stored -- the gate sees only the arriving token, not the memory it is about to modify. This memory-blind gating is one of three coupled defects in the leading delta-rule architecture (GDN-2): the value-axis erase mask wastes parameters at the scale of the value projection, and -- as we prove -- mathematically prevents the WY-form triangular chunk solver that makes recurrent training competitive with Transformers.\n  We introduce CARVE (Content-Aware Recurrent with Value E"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27229","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/2606.27229/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":"2606.27229","created_at":"2026-06-26T01:16:15.750097+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27229v1","created_at":"2026-06-26T01:16:15.750097+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27229","created_at":"2026-06-26T01:16:15.750097+00:00"},{"alias_kind":"pith_short_12","alias_value":"ACSOGOVCT2M3","created_at":"2026-06-26T01:16:15.750097+00:00"},{"alias_kind":"pith_short_16","alias_value":"ACSOGOVCT2M3EF6T","created_at":"2026-06-26T01:16:15.750097+00:00"},{"alias_kind":"pith_short_8","alias_value":"ACSOGOVC","created_at":"2026-06-26T01:16:15.750097+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/ACSOGOVCT2M3EF6TXVDMYWJOM2","json":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2.json","graph_json":"https://pith.science/api/pith-number/ACSOGOVCT2M3EF6TXVDMYWJOM2/graph.json","events_json":"https://pith.science/api/pith-number/ACSOGOVCT2M3EF6TXVDMYWJOM2/events.json","paper":"https://pith.science/paper/ACSOGOVC"},"agent_actions":{"view_html":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2","download_json":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2.json","view_paper":"https://pith.science/paper/ACSOGOVC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27229&json=true","fetch_graph":"https://pith.science/api/pith-number/ACSOGOVCT2M3EF6TXVDMYWJOM2/graph.json","fetch_events":"https://pith.science/api/pith-number/ACSOGOVCT2M3EF6TXVDMYWJOM2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2/action/storage_attestation","attest_author":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2/action/author_attestation","sign_citation":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2/action/citation_signature","submit_replication":"https://pith.science/pith/ACSOGOVCT2M3EF6TXVDMYWJOM2/action/replication_record"}},"created_at":"2026-06-26T01:16:15.750097+00:00","updated_at":"2026-06-26T01:16:15.750097+00:00"}