{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BJWLOCZC3W345LAUQBMDCUZVMW","short_pith_number":"pith:BJWLOCZC","canonical_record":{"source":{"id":"2507.05707","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T06:35:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e059d17180a8b00abf1467a796c56e3087ce59b35a697fba52c3643d9b3fa3db","abstract_canon_sha256":"de6304c113ea4068acc8e0eb14a46c5796880514850fddf7251564ede4683379"},"schema_version":"1.0"},"canonical_sha256":"0a6cb70b22ddb7ceac1480583153356590d5173cac9e5f14448a0da324869aeb","source":{"kind":"arxiv","id":"2507.05707","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.05707","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.05707v2","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05707","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_12","alias_value":"BJWLOCZC3W34","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_16","alias_value":"BJWLOCZC3W345LAU","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_8","alias_value":"BJWLOCZC","created_at":"2026-07-05T12:02:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BJWLOCZC3W345LAUQBMDCUZVMW","target":"record","payload":{"canonical_record":{"source":{"id":"2507.05707","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T06:35:16Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e059d17180a8b00abf1467a796c56e3087ce59b35a697fba52c3643d9b3fa3db","abstract_canon_sha256":"de6304c113ea4068acc8e0eb14a46c5796880514850fddf7251564ede4683379"},"schema_version":"1.0"},"canonical_sha256":"0a6cb70b22ddb7ceac1480583153356590d5173cac9e5f14448a0da324869aeb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:03.278655Z","signature_b64":"PAR0TnXP3pMMoV5LJwRkKnuMq8+5U1gqJajvbb62pcFv2dUw9ZaPS3D/KWpDWWmUyxImEJzTFPtFNiKtfVTAAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a6cb70b22ddb7ceac1480583153356590d5173cac9e5f14448a0da324869aeb","last_reissued_at":"2026-07-05T12:02:03.278215Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:03.278215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.05707","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:02:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w+yvy5KhXHRb5RpMXLRFE3oJC+4JOL/tJFpmWMbF8ReAs/wqyhnKrXyQbcgPE5mc1Hrt4qJnUQO8vmmsBxAaAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:19:29.300937Z"},"content_sha256":"ffd18cd399189f63c1fdf406a87cb40a0f1d768e82174d6cfd0176066540bb1a","schema_version":"1.0","event_id":"sha256:ffd18cd399189f63c1fdf406a87cb40a0f1d768e82174d6cfd0176066540bb1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BJWLOCZC3W345LAUQBMDCUZVMW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agentic-R1: Distilled Dual-Strategy Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Pranjal Aggarwal, Sean Welleck, Weihua Du, Yiming Yang","submitted_at":"2025-07-08T06:35:16Z","abstract_excerpt":"Current long chain-of-thought (long-CoT) models excel at mathematical reasoning but rely on slow and error-prone natural language traces. Tool-augmented agents address arithmetic via code execution, but often falter on complex logical tasks. We introduce a fine-tuning framework, DualDistill, that distills complementary reasoning strategies from multiple teachers into a unified student model. Using this approach, we train Agentic-R1, which dynamically selects the optimal strategy for each query, invoking tools for arithmetic and algorithmic problems, and using text-based reasoning for abstract "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05707","kind":"arxiv","version":2},"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/2507.05707/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":"2026-07-05T12:02:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7M3FvK5I9fL68Xl3rzaQ3hnQTOzfsXme2cywFdChvDSqZyv/yDH4bhNpxYzeUn5J3ifaMEMprbmWQkdh8CdiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:19:29.301431Z"},"content_sha256":"7ec132dd842f5b4a4a483d79c78192e5c66012b438ec70b8ef40518483f8a350","schema_version":"1.0","event_id":"sha256:7ec132dd842f5b4a4a483d79c78192e5c66012b438ec70b8ef40518483f8a350"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BJWLOCZC3W345LAUQBMDCUZVMW/bundle.json","state_url":"https://pith.science/pith/BJWLOCZC3W345LAUQBMDCUZVMW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BJWLOCZC3W345LAUQBMDCUZVMW/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":"2026-08-04T09:19:29Z","links":{"resolver":"https://pith.science/pith/BJWLOCZC3W345LAUQBMDCUZVMW","bundle":"https://pith.science/pith/BJWLOCZC3W345LAUQBMDCUZVMW/bundle.json","state":"https://pith.science/pith/BJWLOCZC3W345LAUQBMDCUZVMW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BJWLOCZC3W345LAUQBMDCUZVMW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BJWLOCZC3W345LAUQBMDCUZVMW","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":"de6304c113ea4068acc8e0eb14a46c5796880514850fddf7251564ede4683379","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T06:35:16Z","title_canon_sha256":"e059d17180a8b00abf1467a796c56e3087ce59b35a697fba52c3643d9b3fa3db"},"schema_version":"1.0","source":{"id":"2507.05707","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.05707","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.05707v2","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05707","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_12","alias_value":"BJWLOCZC3W34","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_16","alias_value":"BJWLOCZC3W345LAU","created_at":"2026-07-05T12:02:03Z"},{"alias_kind":"pith_short_8","alias_value":"BJWLOCZC","created_at":"2026-07-05T12:02:03Z"}],"graph_snapshots":[{"event_id":"sha256:7ec132dd842f5b4a4a483d79c78192e5c66012b438ec70b8ef40518483f8a350","target":"graph","created_at":"2026-07-05T12:02:03Z","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/2507.05707/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current long chain-of-thought (long-CoT) models excel at mathematical reasoning but rely on slow and error-prone natural language traces. Tool-augmented agents address arithmetic via code execution, but often falter on complex logical tasks. We introduce a fine-tuning framework, DualDistill, that distills complementary reasoning strategies from multiple teachers into a unified student model. Using this approach, we train Agentic-R1, which dynamically selects the optimal strategy for each query, invoking tools for arithmetic and algorithmic problems, and using text-based reasoning for abstract ","authors_text":"Pranjal Aggarwal, Sean Welleck, Weihua Du, Yiming Yang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T06:35:16Z","title":"Agentic-R1: Distilled Dual-Strategy Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05707","kind":"arxiv","version":2},"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:ffd18cd399189f63c1fdf406a87cb40a0f1d768e82174d6cfd0176066540bb1a","target":"record","created_at":"2026-07-05T12:02:03Z","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":"de6304c113ea4068acc8e0eb14a46c5796880514850fddf7251564ede4683379","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-08T06:35:16Z","title_canon_sha256":"e059d17180a8b00abf1467a796c56e3087ce59b35a697fba52c3643d9b3fa3db"},"schema_version":"1.0","source":{"id":"2507.05707","kind":"arxiv","version":2}},"canonical_sha256":"0a6cb70b22ddb7ceac1480583153356590d5173cac9e5f14448a0da324869aeb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a6cb70b22ddb7ceac1480583153356590d5173cac9e5f14448a0da324869aeb","first_computed_at":"2026-07-05T12:02:03.278215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:03.278215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PAR0TnXP3pMMoV5LJwRkKnuMq8+5U1gqJajvbb62pcFv2dUw9ZaPS3D/KWpDWWmUyxImEJzTFPtFNiKtfVTAAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:03.278655Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.05707","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffd18cd399189f63c1fdf406a87cb40a0f1d768e82174d6cfd0176066540bb1a","sha256:7ec132dd842f5b4a4a483d79c78192e5c66012b438ec70b8ef40518483f8a350"],"state_sha256":"e9535204e67172d75a932972bde77be41bc199058f208ceec3021a0e5bfa819f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UFAS9bQAydIOMdJvDvqb6McFVRCdxpmF4OC5G0ZlERHETPgrINCiyQ34gosCZFnGmxsoFXRIY/huP6/hJTa/DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:19:29.305349Z","bundle_sha256":"e5cdaa6f08eb5537308cda8874ccf7cd794cdb09558db087b5ed1bfe8bc08055"}}