{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UN4EWNYV2JJWOG7D4YW7ALLN6I","short_pith_number":"pith:UN4EWNYV","canonical_record":{"source":{"id":"2608.05643","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T06:38:37Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0ae4baa4532bb0fcce186423b722f9b0ee12729179c84fafa062b69d3e5755f2","abstract_canon_sha256":"30caed25ae85c9459205d64cb2753eb90d011e9711e3a2b6345bb0a47849479f"},"schema_version":"1.0"},"canonical_sha256":"a3784b3715d253671be3e62df02d6df22e0f5a42160eff7d446dec96c6b212fa","source":{"kind":"arxiv","id":"2608.05643","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.05643","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"arxiv_version","alias_value":"2608.05643v1","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05643","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_12","alias_value":"UN4EWNYV2JJW","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_16","alias_value":"UN4EWNYV2JJWOG7D","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_8","alias_value":"UN4EWNYV","created_at":"2026-08-07T00:52:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UN4EWNYV2JJWOG7D4YW7ALLN6I","target":"record","payload":{"canonical_record":{"source":{"id":"2608.05643","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T06:38:37Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0ae4baa4532bb0fcce186423b722f9b0ee12729179c84fafa062b69d3e5755f2","abstract_canon_sha256":"30caed25ae85c9459205d64cb2753eb90d011e9711e3a2b6345bb0a47849479f"},"schema_version":"1.0"},"canonical_sha256":"a3784b3715d253671be3e62df02d6df22e0f5a42160eff7d446dec96c6b212fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T00:52:16.592180Z","signature_b64":"JyTEQjtThGJI2qN9xVB0r4u5UnwLPjS+/KNOSqEBp0lopGqOwfkhIr7zejX7NpDFJ3brEtNto6WUxGp/HyoPAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3784b3715d253671be3e62df02d6df22e0f5a42160eff7d446dec96c6b212fa","last_reissued_at":"2026-08-07T00:52:16.590445Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T00:52:16.590445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.05643","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":"2026-08-07T00:52:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sJqRC8K3aXzbizkuhHcNCiYEs6xsvl3wuiQfFVAXA0vVC84425G6Pbi10c0SgEqr1xVatX3/Vgt1SVhG596NBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:30:03.798675Z"},"content_sha256":"8d5d9aa1be8308448b6d6a18d9c3be6df1b690f83fdab7bccf0274e9c99533ab","schema_version":"1.0","event_id":"sha256:8d5d9aa1be8308448b6d6a18d9c3be6df1b690f83fdab7bccf0274e9c99533ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UN4EWNYV2JJWOG7D4YW7ALLN6I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Ahsan Bilal, Ali Subhan, Dean F. Hougen, Lena Trigg, Muhammad Ahmed Mohsin, Muhammad Ali, Muhammad Umer","submitted_at":"2026-08-06T06:38:37Z","abstract_excerpt":"Test-time scaling improves LLM reasoning by using additional inference compute, but wider sampling alone can suffer from diminishing returns: new rollouts often repeat existing answer patterns instead of adding useful reasoning diversity. Verifier-based selection offers an alternative, but its performance depends on the calibration of an external reward model. We propose a verifier-free breadth--depth refinement framework that uses test-time compute to both explore and improve candidate solutions. The method samples multiple independent reasoning rollouts, refines each rollout through iterativ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05643","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/2608.05643/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":"2026-08-07T00:52:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cPIRyylYoQVbaOV85BYxQiTKndLd9ORP6TAwwv3XgkPoucz8EK0q2iLuciN23raMQu1uD+y4FsnuPsxEVtXNDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:30:03.799166Z"},"content_sha256":"479b08de2f52248895deedaa43e52d05d1ea27d859d16b08de371e4b706cdc24","schema_version":"1.0","event_id":"sha256:479b08de2f52248895deedaa43e52d05d1ea27d859d16b08de371e4b706cdc24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/bundle.json","state_url":"https://pith.science/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/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":"2026-08-09T15:30:03Z","links":{"resolver":"https://pith.science/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I","bundle":"https://pith.science/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/bundle.json","state":"https://pith.science/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UN4EWNYV2JJWOG7D4YW7ALLN6I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UN4EWNYV2JJWOG7D4YW7ALLN6I","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":"30caed25ae85c9459205d64cb2753eb90d011e9711e3a2b6345bb0a47849479f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T06:38:37Z","title_canon_sha256":"0ae4baa4532bb0fcce186423b722f9b0ee12729179c84fafa062b69d3e5755f2"},"schema_version":"1.0","source":{"id":"2608.05643","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.05643","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"arxiv_version","alias_value":"2608.05643v1","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05643","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_12","alias_value":"UN4EWNYV2JJW","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_16","alias_value":"UN4EWNYV2JJWOG7D","created_at":"2026-08-07T00:52:16Z"},{"alias_kind":"pith_short_8","alias_value":"UN4EWNYV","created_at":"2026-08-07T00:52:16Z"}],"graph_snapshots":[{"event_id":"sha256:479b08de2f52248895deedaa43e52d05d1ea27d859d16b08de371e4b706cdc24","target":"graph","created_at":"2026-08-07T00:52:16Z","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/2608.05643/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Test-time scaling improves LLM reasoning by using additional inference compute, but wider sampling alone can suffer from diminishing returns: new rollouts often repeat existing answer patterns instead of adding useful reasoning diversity. Verifier-based selection offers an alternative, but its performance depends on the calibration of an external reward model. We propose a verifier-free breadth--depth refinement framework that uses test-time compute to both explore and improve candidate solutions. The method samples multiple independent reasoning rollouts, refines each rollout through iterativ","authors_text":"Ahsan Bilal, Ali Subhan, Dean F. Hougen, Lena Trigg, Muhammad Ahmed Mohsin, Muhammad Ali, Muhammad Umer","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T06:38:37Z","title":"Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05643","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":"sha256:8d5d9aa1be8308448b6d6a18d9c3be6df1b690f83fdab7bccf0274e9c99533ab","target":"record","created_at":"2026-08-07T00:52:16Z","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":"30caed25ae85c9459205d64cb2753eb90d011e9711e3a2b6345bb0a47849479f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T06:38:37Z","title_canon_sha256":"0ae4baa4532bb0fcce186423b722f9b0ee12729179c84fafa062b69d3e5755f2"},"schema_version":"1.0","source":{"id":"2608.05643","kind":"arxiv","version":1}},"canonical_sha256":"a3784b3715d253671be3e62df02d6df22e0f5a42160eff7d446dec96c6b212fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3784b3715d253671be3e62df02d6df22e0f5a42160eff7d446dec96c6b212fa","first_computed_at":"2026-08-07T00:52:16.590445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T00:52:16.590445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JyTEQjtThGJI2qN9xVB0r4u5UnwLPjS+/KNOSqEBp0lopGqOwfkhIr7zejX7NpDFJ3brEtNto6WUxGp/HyoPAg==","signature_status":"signed_v1","signed_at":"2026-08-07T00:52:16.592180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.05643","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d5d9aa1be8308448b6d6a18d9c3be6df1b690f83fdab7bccf0274e9c99533ab","sha256:479b08de2f52248895deedaa43e52d05d1ea27d859d16b08de371e4b706cdc24"],"state_sha256":"d6f2c8b9e1839233d1f5c47174c81ceccf42c261c6646de64dafb34dc7e141bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Jm7GhfO8GK8lGXy4Xtudt+9caIBn6GqOb3VTNjKF/UJrFViW74+tP4/VekqNhdJfXn/gF8sEeLlaDty2E6kBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T15:30:03.802427Z","bundle_sha256":"dbe88093a9327dc483324826b142b0765877079a4e3474b8aa5d792cd26c9856"}}