{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7JWZCKSNFMVWAJGWSKAT5AXQWU","short_pith_number":"pith:7JWZCKSN","canonical_record":{"source":{"id":"2402.11452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-18T04:28:16Z","cross_cats_sorted":[],"title_canon_sha256":"cf47666b50feac96bd05356caef30a64f0a4761cfce1b8ee6cd2585a56767de3","abstract_canon_sha256":"68e354a11c450dc850180ef2c6a7d15a7a2796d191d804c463fb251d468a7da3"},"schema_version":"1.0"},"canonical_sha256":"fa6d912a4d2b2b6024d692813e82f0b5049297690cced42737931c47a7ae449a","source":{"kind":"arxiv","id":"2402.11452","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.11452","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"2402.11452v1","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.11452","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"7JWZCKSNFMVW","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"7JWZCKSNFMVWAJGW","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"7JWZCKSN","created_at":"2026-07-05T07:46:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7JWZCKSNFMVWAJGWSKAT5AXQWU","target":"record","payload":{"canonical_record":{"source":{"id":"2402.11452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-18T04:28:16Z","cross_cats_sorted":[],"title_canon_sha256":"cf47666b50feac96bd05356caef30a64f0a4761cfce1b8ee6cd2585a56767de3","abstract_canon_sha256":"68e354a11c450dc850180ef2c6a7d15a7a2796d191d804c463fb251d468a7da3"},"schema_version":"1.0"},"canonical_sha256":"fa6d912a4d2b2b6024d692813e82f0b5049297690cced42737931c47a7ae449a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:46:39.221200Z","signature_b64":"M6A4maYhgP7sECR6Qnk8+KMw1GsX5U8FnzXMTSNTNSXKYX4osGuPcLFFlyAHucqE/BBuBnW7N0elFm8EGcK4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa6d912a4d2b2b6024d692813e82f0b5049297690cced42737931c47a7ae449a","last_reissued_at":"2026-07-05T07:46:39.220791Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:46:39.220791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.11452","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":"2026-07-05T07:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wA2/PS5RY6hGZT3srpEYEoXQ2w+19E0/ep2UEuFdnJ0FJ4MRgfHg+Sk+S4ZoO488Bs7v6RxBS2+18VCyn4InAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:03.106452Z"},"content_sha256":"47b0837ae27317616a5bebf098d9bb809ba1d142041fbea58e608eb7f718b462","schema_version":"1.0","event_id":"sha256:47b0837ae27317616a5bebf098d9bb809ba1d142041fbea58e608eb7f718b462"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7JWZCKSNFMVWAJGWSKAT5AXQWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bhiksha Raj, Huaxiu Yao, Ruiqi Zhang, Xiang Li, Zhaorun Chen, Zhihong Zhu, Zhuokai Zhao","submitted_at":"2024-02-18T04:28:16Z","abstract_excerpt":"Recent advancements in large language models (LLMs) have shown promise in multi-step reasoning tasks, yet their reliance on extensive manual labeling to provide procedural feedback remains a significant impediment. To address this challenge, in this paper, we propose a novel self-supervised framework AutoPRM that efficiently enhances the fine-tuning of LLMs for intricate reasoning challenges. Specifically, AutoPRM first decomposes complex problems into more manageable subquestions with a controllable granularity switch, then sequentially apply reinforcement learning to iteratively improve the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.11452","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/2402.11452/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":"2026-07-05T07:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l11MP8XJm3Lq68EqX/DHb3iT9FA+Njoy9xgeVKF9FLtzNh8xvV6ASmJ2Q4GNsRgy+6TJS3nKHZazuvXW4YGPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:59:03.106936Z"},"content_sha256":"c4d02b570d5e30223602950738fb85004c324988f8cc8b05be1f891ffb4be68a","schema_version":"1.0","event_id":"sha256:c4d02b570d5e30223602950738fb85004c324988f8cc8b05be1f891ffb4be68a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/bundle.json","state_url":"https://pith.science/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/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":"2026-08-08T13:59:03Z","links":{"resolver":"https://pith.science/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU","bundle":"https://pith.science/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/bundle.json","state":"https://pith.science/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7JWZCKSNFMVWAJGWSKAT5AXQWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7JWZCKSNFMVWAJGWSKAT5AXQWU","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":"68e354a11c450dc850180ef2c6a7d15a7a2796d191d804c463fb251d468a7da3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-18T04:28:16Z","title_canon_sha256":"cf47666b50feac96bd05356caef30a64f0a4761cfce1b8ee6cd2585a56767de3"},"schema_version":"1.0","source":{"id":"2402.11452","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.11452","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"2402.11452v1","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.11452","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"7JWZCKSNFMVW","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"7JWZCKSNFMVWAJGW","created_at":"2026-07-05T07:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"7JWZCKSN","created_at":"2026-07-05T07:46:39Z"}],"graph_snapshots":[{"event_id":"sha256:c4d02b570d5e30223602950738fb85004c324988f8cc8b05be1f891ffb4be68a","target":"graph","created_at":"2026-07-05T07:46:39Z","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/2402.11452/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in large language models (LLMs) have shown promise in multi-step reasoning tasks, yet their reliance on extensive manual labeling to provide procedural feedback remains a significant impediment. To address this challenge, in this paper, we propose a novel self-supervised framework AutoPRM that efficiently enhances the fine-tuning of LLMs for intricate reasoning challenges. Specifically, AutoPRM first decomposes complex problems into more manageable subquestions with a controllable granularity switch, then sequentially apply reinforcement learning to iteratively improve the ","authors_text":"Bhiksha Raj, Huaxiu Yao, Ruiqi Zhang, Xiang Li, Zhaorun Chen, Zhihong Zhu, Zhuokai Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-18T04:28:16Z","title":"AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.11452","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":"sha256:47b0837ae27317616a5bebf098d9bb809ba1d142041fbea58e608eb7f718b462","target":"record","created_at":"2026-07-05T07:46:39Z","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":"68e354a11c450dc850180ef2c6a7d15a7a2796d191d804c463fb251d468a7da3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-18T04:28:16Z","title_canon_sha256":"cf47666b50feac96bd05356caef30a64f0a4761cfce1b8ee6cd2585a56767de3"},"schema_version":"1.0","source":{"id":"2402.11452","kind":"arxiv","version":1}},"canonical_sha256":"fa6d912a4d2b2b6024d692813e82f0b5049297690cced42737931c47a7ae449a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa6d912a4d2b2b6024d692813e82f0b5049297690cced42737931c47a7ae449a","first_computed_at":"2026-07-05T07:46:39.220791Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:46:39.220791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M6A4maYhgP7sECR6Qnk8+KMw1GsX5U8FnzXMTSNTNSXKYX4osGuPcLFFlyAHucqE/BBuBnW7N0elFm8EGcK4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:46:39.221200Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.11452","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47b0837ae27317616a5bebf098d9bb809ba1d142041fbea58e608eb7f718b462","sha256:c4d02b570d5e30223602950738fb85004c324988f8cc8b05be1f891ffb4be68a"],"state_sha256":"94c6b7dc7134a94d2be683c7f7c4286733c875c952545fe1972c229f5cf7f575"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zhI5ugtg1wT6E1faBeHnnwNhFPzx4hJD0Wy3gQVuPUgYguhRJrt1kIYLu00Addgf2eY1HTG/O5LSKxvcbn6fAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:59:03.110091Z","bundle_sha256":"3e35f6891adabf45dfbc36000d409c77faf0f68e0ddbc17111c87671cf83d4cf"}}