{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CW2DRDYU4SKKOCHRX4XBLSR2ZL","short_pith_number":"pith:CW2DRDYU","canonical_record":{"source":{"id":"2305.01879","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-03T03:47:00Z","cross_cats_sorted":[],"title_canon_sha256":"108a06ea397a67835dc53e10d0112ad61794a5596ea776f3ea1829b5b21a2415","abstract_canon_sha256":"3de214db7396ca582d29a035dd570342f86d03765d042582d64ddbd63e5cccb1"},"schema_version":"1.0"},"canonical_sha256":"15b4388f14e494a708f1bf2e15ca3acadd40c4e5e685e6f3e582c3a4cc382c5f","source":{"kind":"arxiv","id":"2305.01879","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01879","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01879v4","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01879","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_12","alias_value":"CW2DRDYU4SKK","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_16","alias_value":"CW2DRDYU4SKKOCHR","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_8","alias_value":"CW2DRDYU","created_at":"2026-07-05T06:46:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CW2DRDYU4SKKOCHRX4XBLSR2ZL","target":"record","payload":{"canonical_record":{"source":{"id":"2305.01879","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-03T03:47:00Z","cross_cats_sorted":[],"title_canon_sha256":"108a06ea397a67835dc53e10d0112ad61794a5596ea776f3ea1829b5b21a2415","abstract_canon_sha256":"3de214db7396ca582d29a035dd570342f86d03765d042582d64ddbd63e5cccb1"},"schema_version":"1.0"},"canonical_sha256":"15b4388f14e494a708f1bf2e15ca3acadd40c4e5e685e6f3e582c3a4cc382c5f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:46:22.321423Z","signature_b64":"/JZwkWgPU5k8Fo4WF4376WqF7WzLIh6cKJQW+eqjB5/m7Izk1o+o7yDnOQYRXLlHuWiXHY7g0CuXBQVaj0U3CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15b4388f14e494a708f1bf2e15ca3acadd40c4e5e685e6f3e582c3a4cc382c5f","last_reissued_at":"2026-07-05T06:46:22.320885Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:46:22.320885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.01879","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:46:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8H/KLs9k4fY5RniL1szq8kVDRoiITeF53giUxLLbJqCnbldmAf65AWzmx19kP810aYHDZRqkLEiyrycUMAACDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:54:10.601292Z"},"content_sha256":"bcc1cdf39bf3e90ee97f9e337d030d3a6dd211f7a95b49a6165dd7a785e0049d","schema_version":"1.0","event_id":"sha256:bcc1cdf39bf3e90ee97f9e337d030d3a6dd211f7a95b49a6165dd7a785e0049d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CW2DRDYU4SKKOCHRX4XBLSR2ZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SCOTT: Self-Consistent Chain-of-Thought Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bing Yin, Peifeng Wang, Xiang Ren, Yifan Gao, Zheng Li, Zhengyang Wang","submitted_at":"2023-05-03T03:47:00Z","abstract_excerpt":"Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) prompting. While CoT can yield dramatically improved performance, such gains are only observed for sufficiently large LMs. Even more concerning, there is little guarantee that the generated rationales are consistent with LM's predictions or faithfully justify the decisions. In this work, we propose a faithful knowledge distillation method to learn a small, self-consistent CoT model from a teacher model that is orders of magn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01879","kind":"arxiv","version":4},"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/2305.01879/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":"2026-07-05T06:46:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZCeGd9aV61UxZ/L5UImo+uxGQu7bYJk+oHU3tVQIUj2358VkSWvcs4TtaY3+qaUNOrsf6kWcukbNt/U7si7qAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:54:10.602353Z"},"content_sha256":"59b2dbd0e450054c244d75cc37c2590ab84499228ac43738d2d4eeb2030c2d83","schema_version":"1.0","event_id":"sha256:59b2dbd0e450054c244d75cc37c2590ab84499228ac43738d2d4eeb2030c2d83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/bundle.json","state_url":"https://pith.science/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/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":"2026-08-07T10:54:10Z","links":{"resolver":"https://pith.science/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL","bundle":"https://pith.science/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/bundle.json","state":"https://pith.science/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CW2DRDYU4SKKOCHRX4XBLSR2ZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CW2DRDYU4SKKOCHRX4XBLSR2ZL","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":"3de214db7396ca582d29a035dd570342f86d03765d042582d64ddbd63e5cccb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-03T03:47:00Z","title_canon_sha256":"108a06ea397a67835dc53e10d0112ad61794a5596ea776f3ea1829b5b21a2415"},"schema_version":"1.0","source":{"id":"2305.01879","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01879","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01879v4","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01879","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_12","alias_value":"CW2DRDYU4SKK","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_16","alias_value":"CW2DRDYU4SKKOCHR","created_at":"2026-07-05T06:46:22Z"},{"alias_kind":"pith_short_8","alias_value":"CW2DRDYU","created_at":"2026-07-05T06:46:22Z"}],"graph_snapshots":[{"event_id":"sha256:59b2dbd0e450054c244d75cc37c2590ab84499228ac43738d2d4eeb2030c2d83","target":"graph","created_at":"2026-07-05T06:46:22Z","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/2305.01879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) prompting. While CoT can yield dramatically improved performance, such gains are only observed for sufficiently large LMs. Even more concerning, there is little guarantee that the generated rationales are consistent with LM's predictions or faithfully justify the decisions. In this work, we propose a faithful knowledge distillation method to learn a small, self-consistent CoT model from a teacher model that is orders of magn","authors_text":"Bing Yin, Peifeng Wang, Xiang Ren, Yifan Gao, Zheng Li, Zhengyang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-03T03:47:00Z","title":"SCOTT: Self-Consistent Chain-of-Thought Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01879","kind":"arxiv","version":4},"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:bcc1cdf39bf3e90ee97f9e337d030d3a6dd211f7a95b49a6165dd7a785e0049d","target":"record","created_at":"2026-07-05T06:46:22Z","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":"3de214db7396ca582d29a035dd570342f86d03765d042582d64ddbd63e5cccb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-03T03:47:00Z","title_canon_sha256":"108a06ea397a67835dc53e10d0112ad61794a5596ea776f3ea1829b5b21a2415"},"schema_version":"1.0","source":{"id":"2305.01879","kind":"arxiv","version":4}},"canonical_sha256":"15b4388f14e494a708f1bf2e15ca3acadd40c4e5e685e6f3e582c3a4cc382c5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15b4388f14e494a708f1bf2e15ca3acadd40c4e5e685e6f3e582c3a4cc382c5f","first_computed_at":"2026-07-05T06:46:22.320885Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:46:22.320885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/JZwkWgPU5k8Fo4WF4376WqF7WzLIh6cKJQW+eqjB5/m7Izk1o+o7yDnOQYRXLlHuWiXHY7g0CuXBQVaj0U3CA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:46:22.321423Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.01879","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bcc1cdf39bf3e90ee97f9e337d030d3a6dd211f7a95b49a6165dd7a785e0049d","sha256:59b2dbd0e450054c244d75cc37c2590ab84499228ac43738d2d4eeb2030c2d83"],"state_sha256":"18387b41b34832992db89748ab399299316f296f464a2dc6480823a5c4edbaf7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v0VJqMtn4QvRLXVkiW1WWYr7eEUbQXPp5pfS5BxBEjfQzeWhlnyoSHHQYsDXY4vvsdUNKc6Y6V9XZkZQZpVdBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:54:10.610052Z","bundle_sha256":"58393bda0b17ee19c844b1166dc55d18dcc8e35dfc8eb8f87fb0325566543dcf"}}