{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UQWJGVY2ULAKAMA5IHDOWYUXT5","short_pith_number":"pith:UQWJGVY2","schema_version":"1.0","canonical_sha256":"a42c93571aa2c0a0301d41c6eb62979f7344d482d63d182bf2e63e49ff2ad9f3","source":{"kind":"arxiv","id":"2607.21981","version":1},"attestation_state":"computed","paper":{"title":"J-CoT: Chain-of-Thought in J-Space","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fengling Liu, Jiayuan Zhu, Jiazhen Pan, Junde Wu, Minhao Hu","submitted_at":"2026-07-24T04:57:30Z","abstract_excerpt":"Chain-of-thought prompting improves language-model reasoning by carrying intermediate states across successive computation steps. However, relying on natural language as the only recurrent interface is overly restrictive, since many transient computations do not need to be fully verbalized. Existing latent-reasoning methods remove this constraint by recurrently propagating continuous hidden states. However, these methods pass a dense hidden vector as a whole, without an explicit mechanism for selecting and organizing the information needed by the next reasoning step. This motivates an intermed"},"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":"2607.21981","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-24T04:57:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dc6bb62aab6bef969c03c49027c4ff9b8a8a9437e696c0ab53502488a81d76de","abstract_canon_sha256":"9abf6ff58d6dd80d49cdad7f1d3be96c74ab83baf0092b58c4f82e5fa88b70cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T00:20:31.108291Z","signature_b64":"HSEBITD0KjjhtfG61ElM3NJ3jNZx/7L+/lkYgUVgmSFRp5Rvp5mdJg7zDXdcssbzt0mHOAgDlWslVpWp7CEfAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a42c93571aa2c0a0301d41c6eb62979f7344d482d63d182bf2e63e49ff2ad9f3","last_reissued_at":"2026-07-27T00:20:31.107548Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T00:20:31.107548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"J-CoT: Chain-of-Thought in J-Space","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fengling Liu, Jiayuan Zhu, Jiazhen Pan, Junde Wu, Minhao Hu","submitted_at":"2026-07-24T04:57:30Z","abstract_excerpt":"Chain-of-thought prompting improves language-model reasoning by carrying intermediate states across successive computation steps. However, relying on natural language as the only recurrent interface is overly restrictive, since many transient computations do not need to be fully verbalized. Existing latent-reasoning methods remove this constraint by recurrently propagating continuous hidden states. However, these methods pass a dense hidden vector as a whole, without an explicit mechanism for selecting and organizing the information needed by the next reasoning step. This motivates an intermed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21981","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/2607.21981/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":"2607.21981","created_at":"2026-07-27T00:20:31.107952+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.21981v1","created_at":"2026-07-27T00:20:31.107952+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21981","created_at":"2026-07-27T00:20:31.107952+00:00"},{"alias_kind":"pith_short_12","alias_value":"UQWJGVY2ULAK","created_at":"2026-07-27T00:20:31.107952+00:00"},{"alias_kind":"pith_short_16","alias_value":"UQWJGVY2ULAKAMA5","created_at":"2026-07-27T00:20:31.107952+00:00"},{"alias_kind":"pith_short_8","alias_value":"UQWJGVY2","created_at":"2026-07-27T00:20:31.107952+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/UQWJGVY2ULAKAMA5IHDOWYUXT5","json":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5.json","graph_json":"https://pith.science/api/pith-number/UQWJGVY2ULAKAMA5IHDOWYUXT5/graph.json","events_json":"https://pith.science/api/pith-number/UQWJGVY2ULAKAMA5IHDOWYUXT5/events.json","paper":"https://pith.science/paper/UQWJGVY2"},"agent_actions":{"view_html":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5","download_json":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5.json","view_paper":"https://pith.science/paper/UQWJGVY2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.21981&json=true","fetch_graph":"https://pith.science/api/pith-number/UQWJGVY2ULAKAMA5IHDOWYUXT5/graph.json","fetch_events":"https://pith.science/api/pith-number/UQWJGVY2ULAKAMA5IHDOWYUXT5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5/action/storage_attestation","attest_author":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5/action/author_attestation","sign_citation":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5/action/citation_signature","submit_replication":"https://pith.science/pith/UQWJGVY2ULAKAMA5IHDOWYUXT5/action/replication_record"}},"created_at":"2026-07-27T00:20:31.107952+00:00","updated_at":"2026-07-27T00:20:31.107952+00:00"}