{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VJ56QUDDIY76SEKJTWLI5DWPUU","short_pith_number":"pith:VJ56QUDD","canonical_record":{"source":{"id":"2607.27783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T07:14:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c3fc1e2d97dc25c7ba1219fce7915690680a1705348f5fb3938528d2d5974a55","abstract_canon_sha256":"bb3ef4e3ed9c14fc6c4e3e01f155e8ddef08f6961b1bd6c7c718fa4b61f9a003"},"schema_version":"1.0"},"canonical_sha256":"aa7be85063463fe911499d968e8ecfa530d011d454ad531d7fa6d0b08b38d2aa","source":{"kind":"arxiv","id":"2607.27783","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27783","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27783v1","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27783","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"VJ56QUDDIY76","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"VJ56QUDDIY76SEKJ","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"VJ56QUDD","created_at":"2026-07-31T01:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VJ56QUDDIY76SEKJTWLI5DWPUU","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T07:14:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c3fc1e2d97dc25c7ba1219fce7915690680a1705348f5fb3938528d2d5974a55","abstract_canon_sha256":"bb3ef4e3ed9c14fc6c4e3e01f155e8ddef08f6961b1bd6c7c718fa4b61f9a003"},"schema_version":"1.0"},"canonical_sha256":"aa7be85063463fe911499d968e8ecfa530d011d454ad531d7fa6d0b08b38d2aa","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa7be85063463fe911499d968e8ecfa530d011d454ad531d7fa6d0b08b38d2aa","last_reissued_at":"2026-07-31T01:30:46.378501Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:30:46.378501Z"},"source_kind":"arxiv","source_id":"2607.27783","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T01:30:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"os/BZGUGmOkwD4zoaSLBzihBgOqtFsf2mGKng/XyHLkqR77ogACmPGB+7njovBLzvOrGZs2/YWdvyO1cSlmXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T17:53:48.562448Z"},"content_sha256":"15c7be890d37704dadf9ee3057ceebbae2fc80c7a202db8152d253aea056f493","schema_version":"1.0","event_id":"sha256:15c7be890d37704dadf9ee3057ceebbae2fc80c7a202db8152d253aea056f493"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VJ56QUDDIY76SEKJTWLI5DWPUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Amruta Parulekar, Dilek Hakkani-T\\\"ur, Hari Sundaram, Jinu Lee","submitted_at":"2026-07-30T07:14:50Z","abstract_excerpt":"Large Language Models (LLMs) explore problems through chain-of-thought, but this exploration is buried in unstructured prose. On high-stakes tasks, users cannot tell which steps are well-supported, which alternatives were seriously considered, or how the final conclusion compares to those the model discarded. We propose a framework that ensembles the reasoning structure, not just the answers, of multiple LLMs by weighted merging of Directed Acyclic Graphs (DAGs) extracted from reasoning chains. We weight each step by how many traces independently attest to it, to return \"Consensus Reasoning\". "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27783","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/2607.27783/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T01:30:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W24ntplZbuGjkHDDZduPYy1tDkEsX54TwUsbmGx6sRviVztUlMuoGDLnJVJhGKxHNCGVp1CQOYv5d6gbiDkqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T17:53:48.563061Z"},"content_sha256":"4e41a03120633df92ce96f0bb63290c0f6b84730a9fd91c6d5c680dcefc78e6b","schema_version":"1.0","event_id":"sha256:4e41a03120633df92ce96f0bb63290c0f6b84730a9fd91c6d5c680dcefc78e6b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/bundle.json","state_url":"https://pith.science/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-01T17:53:48Z","links":{"resolver":"https://pith.science/pith/VJ56QUDDIY76SEKJTWLI5DWPUU","bundle":"https://pith.science/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/bundle.json","state":"https://pith.science/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJ56QUDDIY76SEKJTWLI5DWPUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VJ56QUDDIY76SEKJTWLI5DWPUU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bb3ef4e3ed9c14fc6c4e3e01f155e8ddef08f6961b1bd6c7c718fa4b61f9a003","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T07:14:50Z","title_canon_sha256":"c3fc1e2d97dc25c7ba1219fce7915690680a1705348f5fb3938528d2d5974a55"},"schema_version":"1.0","source":{"id":"2607.27783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27783","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27783v1","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27783","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"VJ56QUDDIY76","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"VJ56QUDDIY76SEKJ","created_at":"2026-07-31T01:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"VJ56QUDD","created_at":"2026-07-31T01:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:4e41a03120633df92ce96f0bb63290c0f6b84730a9fd91c6d5c680dcefc78e6b","target":"graph","created_at":"2026-07-31T01:30:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.27783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) explore problems through chain-of-thought, but this exploration is buried in unstructured prose. On high-stakes tasks, users cannot tell which steps are well-supported, which alternatives were seriously considered, or how the final conclusion compares to those the model discarded. We propose a framework that ensembles the reasoning structure, not just the answers, of multiple LLMs by weighted merging of Directed Acyclic Graphs (DAGs) extracted from reasoning chains. We weight each step by how many traces independently attest to it, to return \"Consensus Reasoning\". ","authors_text":"Amruta Parulekar, Dilek Hakkani-T\\\"ur, Hari Sundaram, Jinu Lee","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T07:14:50Z","title":"Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27783","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:15c7be890d37704dadf9ee3057ceebbae2fc80c7a202db8152d253aea056f493","target":"record","created_at":"2026-07-31T01:30:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bb3ef4e3ed9c14fc6c4e3e01f155e8ddef08f6961b1bd6c7c718fa4b61f9a003","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-30T07:14:50Z","title_canon_sha256":"c3fc1e2d97dc25c7ba1219fce7915690680a1705348f5fb3938528d2d5974a55"},"schema_version":"1.0","source":{"id":"2607.27783","kind":"arxiv","version":1}},"canonical_sha256":"aa7be85063463fe911499d968e8ecfa530d011d454ad531d7fa6d0b08b38d2aa","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa7be85063463fe911499d968e8ecfa530d011d454ad531d7fa6d0b08b38d2aa","first_computed_at":"2026-07-31T01:30:46.378501Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:30:46.378501Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15c7be890d37704dadf9ee3057ceebbae2fc80c7a202db8152d253aea056f493","sha256:4e41a03120633df92ce96f0bb63290c0f6b84730a9fd91c6d5c680dcefc78e6b"],"state_sha256":"1e063fc8addf79de829a8a00dd1ba47de5760c236f15e692bbe986f7dba83859"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8bSXDOOUS0DwMBPrA2gd7Ro1ECDxKlRdx0JZI8k38i2Cy+9n7jmg76bsgA8SdzC11f0jjrc1Tanzkdupa4AFAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T17:53:48.568583Z","bundle_sha256":"530ef8e8aca79c98bdaae63ba5a7685215c42cefcaa66d90bc61ea1a4518502e"}}