{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MKPHJVHGOXDXT6MVSZ7VUHPOD6","short_pith_number":"pith:MKPHJVHG","schema_version":"1.0","canonical_sha256":"629e74d4e675c779f995967f5a1dee1f993bc72730b06993e658c63d3f4319ad","source":{"kind":"arxiv","id":"2506.07501","version":1},"attestation_state":"computed","paper":{"title":"Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Libo Wang","submitted_at":"2025-06-09T07:26:47Z","abstract_excerpt":"In view of the problem that each subchain in the chain-of-model (CoM) relies only on the information of the previous subchain and may lose long-range dependencies due to the causal mask blocking the global context flow between multi-level subchains, this work proposes a graph of causal evolution (GoCE). Its core principle is to map the implicit token representation into a differentiable and sparse causal adjacency matrix, then permeate causal constraints through each layer of calculation using causal-masked attention and causal-MoE. By combining intervention consistency loss test and self-evol"},"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":"2506.07501","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T07:26:47Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"49955ab134af7cdfe8dea65fa29607e523e007e19642cd8c41191b5a7563975f","abstract_canon_sha256":"4dcc520c0af6787243fbc4d5ef7415b23cfa88c278b1e3c66aceb5a9290e0e5d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:28.378513Z","signature_b64":"N30Ql6R76/9VOrV3NQ1pltftKMl4iH7lPf8fnvbp8VzMuGBgXyeVsTcaN2mtQDBkEsb7iXkr5ssGsTF1nWETAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"629e74d4e675c779f995967f5a1dee1f993bc72730b06993e658c63d3f4319ad","last_reissued_at":"2026-07-05T11:18:28.378046Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:28.378046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Libo Wang","submitted_at":"2025-06-09T07:26:47Z","abstract_excerpt":"In view of the problem that each subchain in the chain-of-model (CoM) relies only on the information of the previous subchain and may lose long-range dependencies due to the causal mask blocking the global context flow between multi-level subchains, this work proposes a graph of causal evolution (GoCE). Its core principle is to map the implicit token representation into a differentiable and sparse causal adjacency matrix, then permeate causal constraints through each layer of calculation using causal-masked attention and causal-MoE. By combining intervention consistency loss test and self-evol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07501","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/2506.07501/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":"2506.07501","created_at":"2026-07-05T11:18:28.378101+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.07501v1","created_at":"2026-07-05T11:18:28.378101+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07501","created_at":"2026-07-05T11:18:28.378101+00:00"},{"alias_kind":"pith_short_12","alias_value":"MKPHJVHGOXDX","created_at":"2026-07-05T11:18:28.378101+00:00"},{"alias_kind":"pith_short_16","alias_value":"MKPHJVHGOXDXT6MV","created_at":"2026-07-05T11:18:28.378101+00:00"},{"alias_kind":"pith_short_8","alias_value":"MKPHJVHG","created_at":"2026-07-05T11:18:28.378101+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/MKPHJVHGOXDXT6MVSZ7VUHPOD6","json":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6.json","graph_json":"https://pith.science/api/pith-number/MKPHJVHGOXDXT6MVSZ7VUHPOD6/graph.json","events_json":"https://pith.science/api/pith-number/MKPHJVHGOXDXT6MVSZ7VUHPOD6/events.json","paper":"https://pith.science/paper/MKPHJVHG"},"agent_actions":{"view_html":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6","download_json":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6.json","view_paper":"https://pith.science/paper/MKPHJVHG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.07501&json=true","fetch_graph":"https://pith.science/api/pith-number/MKPHJVHGOXDXT6MVSZ7VUHPOD6/graph.json","fetch_events":"https://pith.science/api/pith-number/MKPHJVHGOXDXT6MVSZ7VUHPOD6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6/action/storage_attestation","attest_author":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6/action/author_attestation","sign_citation":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6/action/citation_signature","submit_replication":"https://pith.science/pith/MKPHJVHGOXDXT6MVSZ7VUHPOD6/action/replication_record"}},"created_at":"2026-07-05T11:18:28.378101+00:00","updated_at":"2026-07-05T11:18:28.378101+00:00"}