{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:V4RDKFGP6YR2PIL76BEYQSBT7J","short_pith_number":"pith:V4RDKFGP","canonical_record":{"source":{"id":"2501.09804","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-16T19:23:11Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8a3ec47993c96f3f72baf956b4528db2562bfe23d09c04bd5daf71c90480ba44","abstract_canon_sha256":"3e4aa38a74feca5a7e3348f133e73f878fa92858bcb1198f3221d921347745c7"},"schema_version":"1.0"},"canonical_sha256":"af223514cff623a7a17ff049884833fa7e08da7decc0a91b1499a991e46d2ee2","source":{"kind":"arxiv","id":"2501.09804","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09804","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09804v1","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09804","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_12","alias_value":"V4RDKFGP6YR2","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_16","alias_value":"V4RDKFGP6YR2PIL7","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_8","alias_value":"V4RDKFGP","created_at":"2026-07-05T10:02:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:V4RDKFGP6YR2PIL76BEYQSBT7J","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09804","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-16T19:23:11Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8a3ec47993c96f3f72baf956b4528db2562bfe23d09c04bd5daf71c90480ba44","abstract_canon_sha256":"3e4aa38a74feca5a7e3348f133e73f878fa92858bcb1198f3221d921347745c7"},"schema_version":"1.0"},"canonical_sha256":"af223514cff623a7a17ff049884833fa7e08da7decc0a91b1499a991e46d2ee2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:11.404780Z","signature_b64":"+5X9J6xhxKBsys1uNHs+s4XbflvTE1tifgIWbSN6/awF6WF/4OULDBp2lWMyxcSNCA23GaOVnTdEltfjj7sGBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af223514cff623a7a17ff049884833fa7e08da7decc0a91b1499a991e46d2ee2","last_reissued_at":"2026-07-05T10:02:11.404358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:11.404358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09804","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":"2026-07-05T10:02:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xa8aVUGfvT/SXpBTG1RVIgBe6UQr92nq3dT73G4h83cF8dMR9hKrX4hN9fOLcal97vzDpfKFcsnAHYOakVAGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:07:22.026947Z"},"content_sha256":"27fcb25e651a2ae211f9236665a50ab2c6acaf7edfb3dbd37d95142e1bb7bd2a","schema_version":"1.0","event_id":"sha256:27fcb25e651a2ae211f9236665a50ab2c6acaf7edfb3dbd37d95142e1bb7bd2a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:V4RDKFGP6YR2PIL76BEYQSBT7J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Generalization in Chain of Thought Reasoning for Smaller Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Boyu Wang, Charles Ling, Dingyi Jiang, Maxwell J. Yin, Yongbing Chen","submitted_at":"2025-01-16T19:23:11Z","abstract_excerpt":"Chain-of-Thought (CoT) reasoning in smaller language models is a challenging natural language process problem yet highly desirable in many real-life applications. Existing CoT knowledge distillation methods often suffer from overly conservative memorization in smaller LLMs, leading to low generalization confidence. As fully preserving the CoT ability of teacher model is impossible, we hypothesize that adversarial CoT fine-tuning is crucial for developing smaller LLM with robust CoT generalization. To this end, we propose \\textit{PRompt-Assisted Domain-Adversarial fine-tuning} (PRADA), a princi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09804","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/2501.09804/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":"2026-07-05T10:02:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pksodJYiVFr636WbsVuXrpNZkrF0Uzfw/fdzSwBvE+u6rB8zR9x3apuhW3Kj17+5REBwACV+o+abeuOmNexfBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:07:22.027640Z"},"content_sha256":"f64239701a2a737a936bb53bc35610f310bbde223c1739e58d7b52ebb662fc30","schema_version":"1.0","event_id":"sha256:f64239701a2a737a936bb53bc35610f310bbde223c1739e58d7b52ebb662fc30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/bundle.json","state_url":"https://pith.science/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/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":"2026-08-05T22:07:22Z","links":{"resolver":"https://pith.science/pith/V4RDKFGP6YR2PIL76BEYQSBT7J","bundle":"https://pith.science/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/bundle.json","state":"https://pith.science/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V4RDKFGP6YR2PIL76BEYQSBT7J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:V4RDKFGP6YR2PIL76BEYQSBT7J","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":"3e4aa38a74feca5a7e3348f133e73f878fa92858bcb1198f3221d921347745c7","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-16T19:23:11Z","title_canon_sha256":"8a3ec47993c96f3f72baf956b4528db2562bfe23d09c04bd5daf71c90480ba44"},"schema_version":"1.0","source":{"id":"2501.09804","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09804","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09804v1","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09804","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_12","alias_value":"V4RDKFGP6YR2","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_16","alias_value":"V4RDKFGP6YR2PIL7","created_at":"2026-07-05T10:02:11Z"},{"alias_kind":"pith_short_8","alias_value":"V4RDKFGP","created_at":"2026-07-05T10:02:11Z"}],"graph_snapshots":[{"event_id":"sha256:f64239701a2a737a936bb53bc35610f310bbde223c1739e58d7b52ebb662fc30","target":"graph","created_at":"2026-07-05T10:02:11Z","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/2501.09804/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chain-of-Thought (CoT) reasoning in smaller language models is a challenging natural language process problem yet highly desirable in many real-life applications. Existing CoT knowledge distillation methods often suffer from overly conservative memorization in smaller LLMs, leading to low generalization confidence. As fully preserving the CoT ability of teacher model is impossible, we hypothesize that adversarial CoT fine-tuning is crucial for developing smaller LLM with robust CoT generalization. To this end, we propose \\textit{PRompt-Assisted Domain-Adversarial fine-tuning} (PRADA), a princi","authors_text":"Boyu Wang, Charles Ling, Dingyi Jiang, Maxwell J. Yin, Yongbing Chen","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-16T19:23:11Z","title":"Enhancing Generalization in Chain of Thought Reasoning for Smaller Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09804","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":"sha256:27fcb25e651a2ae211f9236665a50ab2c6acaf7edfb3dbd37d95142e1bb7bd2a","target":"record","created_at":"2026-07-05T10:02:11Z","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":"3e4aa38a74feca5a7e3348f133e73f878fa92858bcb1198f3221d921347745c7","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-16T19:23:11Z","title_canon_sha256":"8a3ec47993c96f3f72baf956b4528db2562bfe23d09c04bd5daf71c90480ba44"},"schema_version":"1.0","source":{"id":"2501.09804","kind":"arxiv","version":1}},"canonical_sha256":"af223514cff623a7a17ff049884833fa7e08da7decc0a91b1499a991e46d2ee2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af223514cff623a7a17ff049884833fa7e08da7decc0a91b1499a991e46d2ee2","first_computed_at":"2026-07-05T10:02:11.404358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:11.404358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+5X9J6xhxKBsys1uNHs+s4XbflvTE1tifgIWbSN6/awF6WF/4OULDBp2lWMyxcSNCA23GaOVnTdEltfjj7sGBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:11.404780Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09804","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27fcb25e651a2ae211f9236665a50ab2c6acaf7edfb3dbd37d95142e1bb7bd2a","sha256:f64239701a2a737a936bb53bc35610f310bbde223c1739e58d7b52ebb662fc30"],"state_sha256":"419d3411ded117c8b507372650bc09125f2d80951a7967692d5f75d35e5cea9c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+b5jOR3qmAXcPPwIj3Mp0QOda2EQK9/IXiNuyhvXEU1SCTls6TXLju1+i+AWmmr8ufRTzJuC1JsOsMAFVyX5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:07:22.031337Z","bundle_sha256":"460941822a3bdc691335091467297164163bdc40a665a1a71db66b0340a7dc40"}}