{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZK5KF34HDP7HU7EC26UVIKZ4ZH","short_pith_number":"pith:ZK5KF34H","canonical_record":{"source":{"id":"2503.02951","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-04T19:17:36Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"7e4c4e10278dd106d48fd156ca420d76fc3d9630f1215a839c9afa819d958108","abstract_canon_sha256":"cbe46b4d288d3feae3bb2c0bb0fe16ca4e33eb9901f4b2aabddba9d377466194"},"schema_version":"1.0"},"canonical_sha256":"cabaa2ef871bfe7a7c82d7a9542b3cc9fe4049082b9218aa30b57809b6b1aba2","source":{"kind":"arxiv","id":"2503.02951","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.02951","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"2503.02951v2","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.02951","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZK5KF34HDP7H","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZK5KF34HDP7HU7EC","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZK5KF34H","created_at":"2026-07-05T11:35:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZK5KF34HDP7HU7EC26UVIKZ4ZH","target":"record","payload":{"canonical_record":{"source":{"id":"2503.02951","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-04T19:17:36Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"7e4c4e10278dd106d48fd156ca420d76fc3d9630f1215a839c9afa819d958108","abstract_canon_sha256":"cbe46b4d288d3feae3bb2c0bb0fe16ca4e33eb9901f4b2aabddba9d377466194"},"schema_version":"1.0"},"canonical_sha256":"cabaa2ef871bfe7a7c82d7a9542b3cc9fe4049082b9218aa30b57809b6b1aba2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:54.029474Z","signature_b64":"8S0s86F/rcp3vVlBeQHrzUnrpdFbVxrIxH/7EhksB5WgrTO0F2qGlYgQdNeUHSrYV8MEFvpRdgbwuw+0KtabBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cabaa2ef871bfe7a7c82d7a9542b3cc9fe4049082b9218aa30b57809b6b1aba2","last_reissued_at":"2026-07-05T11:35:54.028928Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:54.028928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.02951","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":"2026-07-05T11:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X4rB4tOpodPTI5mv5KsFogdSIwxReY3muBh8yHeneOI6h4/EY4NbbyKUvk+qYziD95K+0WJMJqwtTGlBrh6IBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:13:34.278176Z"},"content_sha256":"2c9166b486cf8580549d735b9b6a7b31c812dcd472d39ad0b71f6563a96b3441","schema_version":"1.0","event_id":"sha256:2c9166b486cf8580549d735b9b6a7b31c812dcd472d39ad0b71f6563a96b3441"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZK5KF34HDP7HU7EC26UVIKZ4ZH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Mingyuan Zhou, Radha Poovendran, Yang Liu, Yueqin Yin, Zhangchen Xu","submitted_at":"2025-03-04T19:17:36Z","abstract_excerpt":"We introduce KodCode, a synthetic dataset that addresses the persistent challenge of acquiring high-quality, verifiable training data across diverse difficulties and domains for training Large Language Models for coding. Existing code-focused resources typically fail to ensure either the breadth of coverage (e.g., spanning simple coding tasks to advanced algorithmic problems) or verifiable correctness (e.g., unit tests). In contrast, KodCode comprises question-solution-test triplets that are systematically validated via a self-verification procedure. Our pipeline begins by synthesizing a broad"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.02951","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/2503.02951/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":"2026-07-05T11:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nBJ3lukRBm5vGNiR8ZC5nsV61b1ApBX0Pc2E/Xw5YQMG0AksFBCDgIFLthV6gLldN5zHeQIphmoYP8OGULohBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:13:34.278738Z"},"content_sha256":"6f2030d55b1be60d184d8b627d55498cc3e07ce54e7a13baf429dcde2d1d9315","schema_version":"1.0","event_id":"sha256:6f2030d55b1be60d184d8b627d55498cc3e07ce54e7a13baf429dcde2d1d9315"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/bundle.json","state_url":"https://pith.science/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/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":"2026-08-03T16:13:34Z","links":{"resolver":"https://pith.science/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH","bundle":"https://pith.science/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/bundle.json","state":"https://pith.science/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZK5KF34HDP7HU7EC26UVIKZ4ZH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZK5KF34HDP7HU7EC26UVIKZ4ZH","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":"cbe46b4d288d3feae3bb2c0bb0fe16ca4e33eb9901f4b2aabddba9d377466194","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-04T19:17:36Z","title_canon_sha256":"7e4c4e10278dd106d48fd156ca420d76fc3d9630f1215a839c9afa819d958108"},"schema_version":"1.0","source":{"id":"2503.02951","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.02951","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"2503.02951v2","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.02951","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZK5KF34HDP7H","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZK5KF34HDP7HU7EC","created_at":"2026-07-05T11:35:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZK5KF34H","created_at":"2026-07-05T11:35:54Z"}],"graph_snapshots":[{"event_id":"sha256:6f2030d55b1be60d184d8b627d55498cc3e07ce54e7a13baf429dcde2d1d9315","target":"graph","created_at":"2026-07-05T11:35:54Z","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/2503.02951/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce KodCode, a synthetic dataset that addresses the persistent challenge of acquiring high-quality, verifiable training data across diverse difficulties and domains for training Large Language Models for coding. Existing code-focused resources typically fail to ensure either the breadth of coverage (e.g., spanning simple coding tasks to advanced algorithmic problems) or verifiable correctness (e.g., unit tests). In contrast, KodCode comprises question-solution-test triplets that are systematically validated via a self-verification procedure. Our pipeline begins by synthesizing a broad","authors_text":"Mingyuan Zhou, Radha Poovendran, Yang Liu, Yueqin Yin, Zhangchen Xu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-04T19:17:36Z","title":"KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.02951","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":"sha256:2c9166b486cf8580549d735b9b6a7b31c812dcd472d39ad0b71f6563a96b3441","target":"record","created_at":"2026-07-05T11:35:54Z","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":"cbe46b4d288d3feae3bb2c0bb0fe16ca4e33eb9901f4b2aabddba9d377466194","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-04T19:17:36Z","title_canon_sha256":"7e4c4e10278dd106d48fd156ca420d76fc3d9630f1215a839c9afa819d958108"},"schema_version":"1.0","source":{"id":"2503.02951","kind":"arxiv","version":2}},"canonical_sha256":"cabaa2ef871bfe7a7c82d7a9542b3cc9fe4049082b9218aa30b57809b6b1aba2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cabaa2ef871bfe7a7c82d7a9542b3cc9fe4049082b9218aa30b57809b6b1aba2","first_computed_at":"2026-07-05T11:35:54.028928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:54.028928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8S0s86F/rcp3vVlBeQHrzUnrpdFbVxrIxH/7EhksB5WgrTO0F2qGlYgQdNeUHSrYV8MEFvpRdgbwuw+0KtabBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:54.029474Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.02951","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c9166b486cf8580549d735b9b6a7b31c812dcd472d39ad0b71f6563a96b3441","sha256:6f2030d55b1be60d184d8b627d55498cc3e07ce54e7a13baf429dcde2d1d9315"],"state_sha256":"7872dcbe14a208d83a56b02afc38a20102adcb578a18c69972c7a7ce0eddab7b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yv4Vg/gEYXYX6SvURC40Y1DtRqpNXjNdg5U3ebBOqXnvIE3vboipm0S/LK8efm3MNrZtUgNzxFIkCIfdvahMDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:13:34.283789Z","bundle_sha256":"9e1c98b26e593c93a5b5a49e00a4ad11e90704439aff5a828f7ff623508962f6"}}