{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RJOKFTVYEMIVEQRVEA7QQKZHK2","short_pith_number":"pith:RJOKFTVY","canonical_record":{"source":{"id":"2607.03523","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-03T17:51:52Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"be8a3334aec182ec80bed94ee22989e951e42f7cfa3423d059924418d7ebb23e","abstract_canon_sha256":"92200f643e4cc749606ac2bc470959862891b9c4a77afbd09c8f950e8011e23a"},"schema_version":"1.0"},"canonical_sha256":"8a5ca2ceb82311524235203f082b2756958b1b922af568cbbb70fd066186d960","source":{"kind":"arxiv","id":"2607.03523","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03523","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03523v1","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03523","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_12","alias_value":"RJOKFTVYEMIV","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_16","alias_value":"RJOKFTVYEMIVEQRV","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_8","alias_value":"RJOKFTVY","created_at":"2026-07-07T02:17:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RJOKFTVYEMIVEQRVEA7QQKZHK2","target":"record","payload":{"canonical_record":{"source":{"id":"2607.03523","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-03T17:51:52Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"be8a3334aec182ec80bed94ee22989e951e42f7cfa3423d059924418d7ebb23e","abstract_canon_sha256":"92200f643e4cc749606ac2bc470959862891b9c4a77afbd09c8f950e8011e23a"},"schema_version":"1.0"},"canonical_sha256":"8a5ca2ceb82311524235203f082b2756958b1b922af568cbbb70fd066186d960","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:17:51.600416Z","signature_b64":"sYYn7nVQBWvPZX+NT8n4SdUYI5AbmwqlRbURFjW3H1P0WuNkLd4FBWzVv6CKO03JFnYq6FumkhekYK8hudBaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8a5ca2ceb82311524235203f082b2756958b1b922af568cbbb70fd066186d960","last_reissued_at":"2026-07-07T02:17:51.599595Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:17:51.599595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.03523","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":"2026-07-07T02:17:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xipZuZ97zjOG3BETASXSrpA2na6fIop7i0q05HzE9G2aHN3mmTYs1ixGShIx8gCYledwUE8B8tIcl3jlW0iLBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:09:59.034232Z"},"content_sha256":"8d81141b9297d9be4b83750f1025741369eba390deedfcf068165a298c4aff13","schema_version":"1.0","event_id":"sha256:8d81141b9297d9be4b83750f1025741369eba390deedfcf068165a298c4aff13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RJOKFTVYEMIVEQRVEA7QQKZHK2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anchored Self-Play for Code Repair","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SE","authors_text":"Caroline Choi, Ludwig Schmidt, Shirley Wu, Tatsunori Hashimoto, Tengyu Ma, Zeyneb Kaya","submitted_at":"2026-07-03T17:51:52Z","abstract_excerpt":"Code repair is an important capability for language models (LMs): given a buggy program and unit tests, an LM must produce a fixed program that passes the tests. Because code repair data is limited, we aim to scale supervision by using an LM to generate bug--fix tasks. We propose __generator--fixer self-play__, in which a single model is trained with reinforcement learning to generate bugs and fix them. As the fixer improves, the generator adapts to produce more difficult bugs, yielding an automatic curriculum. To test whether this curriculum generalizes, we introduce BugSourceBench, a repair "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03523","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/2607.03523/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":"2026-07-07T02:17:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NtCbjfFTAa1Pd7eCTKJhmAS/2p4LeZlw4p+wsdzXJEjfov2YDrnhrAenA/HbHvLp59J/A6LPg1BxlwoQP+pyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:09:59.034738Z"},"content_sha256":"d8b2320c7fd23de234c8c7a44ecc844a1906b176bd4ab991fbac05e79c697949","schema_version":"1.0","event_id":"sha256:d8b2320c7fd23de234c8c7a44ecc844a1906b176bd4ab991fbac05e79c697949"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/bundle.json","state_url":"https://pith.science/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/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":"2026-08-10T03:09:59Z","links":{"resolver":"https://pith.science/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2","bundle":"https://pith.science/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/bundle.json","state":"https://pith.science/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RJOKFTVYEMIVEQRVEA7QQKZHK2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RJOKFTVYEMIVEQRVEA7QQKZHK2","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":"92200f643e4cc749606ac2bc470959862891b9c4a77afbd09c8f950e8011e23a","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-03T17:51:52Z","title_canon_sha256":"be8a3334aec182ec80bed94ee22989e951e42f7cfa3423d059924418d7ebb23e"},"schema_version":"1.0","source":{"id":"2607.03523","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03523","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03523v1","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03523","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_12","alias_value":"RJOKFTVYEMIV","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_16","alias_value":"RJOKFTVYEMIVEQRV","created_at":"2026-07-07T02:17:51Z"},{"alias_kind":"pith_short_8","alias_value":"RJOKFTVY","created_at":"2026-07-07T02:17:51Z"}],"graph_snapshots":[{"event_id":"sha256:d8b2320c7fd23de234c8c7a44ecc844a1906b176bd4ab991fbac05e79c697949","target":"graph","created_at":"2026-07-07T02:17:51Z","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/2607.03523/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code repair is an important capability for language models (LMs): given a buggy program and unit tests, an LM must produce a fixed program that passes the tests. Because code repair data is limited, we aim to scale supervision by using an LM to generate bug--fix tasks. We propose __generator--fixer self-play__, in which a single model is trained with reinforcement learning to generate bugs and fix them. As the fixer improves, the generator adapts to produce more difficult bugs, yielding an automatic curriculum. To test whether this curriculum generalizes, we introduce BugSourceBench, a repair ","authors_text":"Caroline Choi, Ludwig Schmidt, Shirley Wu, Tatsunori Hashimoto, Tengyu Ma, Zeyneb Kaya","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-03T17:51:52Z","title":"Anchored Self-Play for Code Repair"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03523","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":"sha256:8d81141b9297d9be4b83750f1025741369eba390deedfcf068165a298c4aff13","target":"record","created_at":"2026-07-07T02:17:51Z","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":"92200f643e4cc749606ac2bc470959862891b9c4a77afbd09c8f950e8011e23a","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-03T17:51:52Z","title_canon_sha256":"be8a3334aec182ec80bed94ee22989e951e42f7cfa3423d059924418d7ebb23e"},"schema_version":"1.0","source":{"id":"2607.03523","kind":"arxiv","version":1}},"canonical_sha256":"8a5ca2ceb82311524235203f082b2756958b1b922af568cbbb70fd066186d960","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a5ca2ceb82311524235203f082b2756958b1b922af568cbbb70fd066186d960","first_computed_at":"2026-07-07T02:17:51.599595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:17:51.599595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sYYn7nVQBWvPZX+NT8n4SdUYI5AbmwqlRbURFjW3H1P0WuNkLd4FBWzVv6CKO03JFnYq6FumkhekYK8hudBaCw==","signature_status":"signed_v1","signed_at":"2026-07-07T02:17:51.600416Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03523","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d81141b9297d9be4b83750f1025741369eba390deedfcf068165a298c4aff13","sha256:d8b2320c7fd23de234c8c7a44ecc844a1906b176bd4ab991fbac05e79c697949"],"state_sha256":"f0fdaedc7e597fc85601e0eecff9a3dd9a1c4d47cfa9dbea2549f27ca9d5fcec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GHsFZZlWWkz0BVVAZFhwdj1HwbWBMaHNikEqYdoCvglowiW1F99jwOeeR/M6KoyaU2fnTE94FofjJxDp2KinDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T03:09:59.038344Z","bundle_sha256":"2219444e37f3d4fcc4ec9cc613d8b10751af492f1326468c8f6e4059e7535cee"}}