{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:27V2ZU7JIRGGKIN34GMLFCHXIX","short_pith_number":"pith:27V2ZU7J","canonical_record":{"source":{"id":"2312.14852","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-22T17:25:42Z","cross_cats_sorted":[],"title_canon_sha256":"08da05579e75d5b8967d22e3484bb48c317ca40ce13c3a68380a9949bc67c188","abstract_canon_sha256":"03cc182f4695b946b4bc4bfbe8fa9759f405e04ae9ae93ad4e6aff7d178cceb1"},"schema_version":"1.0"},"canonical_sha256":"d7ebacd3e9444c6521bbe198b288f745d998711d6a960639f3355afbc05b3468","source":{"kind":"arxiv","id":"2312.14852","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.14852","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"arxiv_version","alias_value":"2312.14852v3","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.14852","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_12","alias_value":"27V2ZU7JIRGG","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_16","alias_value":"27V2ZU7JIRGGKIN3","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_8","alias_value":"27V2ZU7J","created_at":"2026-07-05T07:28:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:27V2ZU7JIRGGKIN34GMLFCHXIX","target":"record","payload":{"canonical_record":{"source":{"id":"2312.14852","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-22T17:25:42Z","cross_cats_sorted":[],"title_canon_sha256":"08da05579e75d5b8967d22e3484bb48c317ca40ce13c3a68380a9949bc67c188","abstract_canon_sha256":"03cc182f4695b946b4bc4bfbe8fa9759f405e04ae9ae93ad4e6aff7d178cceb1"},"schema_version":"1.0"},"canonical_sha256":"d7ebacd3e9444c6521bbe198b288f745d998711d6a960639f3355afbc05b3468","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:13.344324Z","signature_b64":"JddRm4di7n77Gfel/858wuijYyJ8fg0RSdPyXwkh0kgQaUGRdZhfpGhldk16eB2dSrBkozjJJJYjdqBvHD6kBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7ebacd3e9444c6521bbe198b288f745d998711d6a960639f3355afbc05b3468","last_reissued_at":"2026-07-05T07:28:13.343799Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:13.343799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.14852","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:28:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wgUR6cIw1BfLiaX4RpzpL1e29+8RYojcDY973COzORqD00vXxXdsTpsG6ya/JT5mgROGJdY2yBkhEx5dl36iAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T03:25:06.122101Z"},"content_sha256":"0febc352244da5b56bf6a007122552a142490774184402f483d8eaec2bc15466","schema_version":"1.0","event_id":"sha256:0febc352244da5b56bf6a007122552a142490774184402f483d8eaec2bc15466"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:27V2ZU7JIRGGKIN34GMLFCHXIX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TACO: Topics in Algorithmic COde generation dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bo-Wen Zhang, Chen Lyu, Ge Li, Guang Liu, Jie Fu, Rongao Li, Tao Huang, Zhihong Sun, Zhi Jin","submitted_at":"2023-12-22T17:25:42Z","abstract_excerpt":"We introduce TACO, an open-source, large-scale code generation dataset, with a focus on the optics of algorithms, designed to provide a more challenging training dataset and evaluation benchmark in the field of code generation models. TACO includes competition-level programming questions that are more challenging, to enhance or evaluate problem understanding and reasoning abilities in real-world programming scenarios. There are 25433 and 1000 coding problems in training and test set, as well as up to 1.55 million diverse solution answers. Moreover, each TACO problem includes several fine-grain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.14852","kind":"arxiv","version":3},"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/2312.14852/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":"2026-07-05T07:28:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"plP073XC6V/uuZagY+02VZ0pCeAwmOgMxU3qsZS3xcXXCWjr6Er5CSrC8Ep+Ajlwspern55pTst/CqSlcCG+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T03:25:06.122473Z"},"content_sha256":"5a10eb8b86d65f2a95f0cfe1518308e45afae5ceb0e0793d12a568ab7e1a5e5a","schema_version":"1.0","event_id":"sha256:5a10eb8b86d65f2a95f0cfe1518308e45afae5ceb0e0793d12a568ab7e1a5e5a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/bundle.json","state_url":"https://pith.science/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/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":"2026-07-28T03:25:06Z","links":{"resolver":"https://pith.science/pith/27V2ZU7JIRGGKIN34GMLFCHXIX","bundle":"https://pith.science/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/bundle.json","state":"https://pith.science/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27V2ZU7JIRGGKIN34GMLFCHXIX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:27V2ZU7JIRGGKIN34GMLFCHXIX","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":"03cc182f4695b946b4bc4bfbe8fa9759f405e04ae9ae93ad4e6aff7d178cceb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-22T17:25:42Z","title_canon_sha256":"08da05579e75d5b8967d22e3484bb48c317ca40ce13c3a68380a9949bc67c188"},"schema_version":"1.0","source":{"id":"2312.14852","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.14852","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"arxiv_version","alias_value":"2312.14852v3","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.14852","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_12","alias_value":"27V2ZU7JIRGG","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_16","alias_value":"27V2ZU7JIRGGKIN3","created_at":"2026-07-05T07:28:13Z"},{"alias_kind":"pith_short_8","alias_value":"27V2ZU7J","created_at":"2026-07-05T07:28:13Z"}],"graph_snapshots":[{"event_id":"sha256:5a10eb8b86d65f2a95f0cfe1518308e45afae5ceb0e0793d12a568ab7e1a5e5a","target":"graph","created_at":"2026-07-05T07:28:13Z","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/2312.14852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce TACO, an open-source, large-scale code generation dataset, with a focus on the optics of algorithms, designed to provide a more challenging training dataset and evaluation benchmark in the field of code generation models. TACO includes competition-level programming questions that are more challenging, to enhance or evaluate problem understanding and reasoning abilities in real-world programming scenarios. There are 25433 and 1000 coding problems in training and test set, as well as up to 1.55 million diverse solution answers. Moreover, each TACO problem includes several fine-grain","authors_text":"Bo-Wen Zhang, Chen Lyu, Ge Li, Guang Liu, Jie Fu, Rongao Li, Tao Huang, Zhihong Sun, Zhi Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-22T17:25:42Z","title":"TACO: Topics in Algorithmic COde generation dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.14852","kind":"arxiv","version":3},"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":"sha256:0febc352244da5b56bf6a007122552a142490774184402f483d8eaec2bc15466","target":"record","created_at":"2026-07-05T07:28:13Z","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":"03cc182f4695b946b4bc4bfbe8fa9759f405e04ae9ae93ad4e6aff7d178cceb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-22T17:25:42Z","title_canon_sha256":"08da05579e75d5b8967d22e3484bb48c317ca40ce13c3a68380a9949bc67c188"},"schema_version":"1.0","source":{"id":"2312.14852","kind":"arxiv","version":3}},"canonical_sha256":"d7ebacd3e9444c6521bbe198b288f745d998711d6a960639f3355afbc05b3468","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7ebacd3e9444c6521bbe198b288f745d998711d6a960639f3355afbc05b3468","first_computed_at":"2026-07-05T07:28:13.343799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:13.343799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JddRm4di7n77Gfel/858wuijYyJ8fg0RSdPyXwkh0kgQaUGRdZhfpGhldk16eB2dSrBkozjJJJYjdqBvHD6kBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:13.344324Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.14852","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0febc352244da5b56bf6a007122552a142490774184402f483d8eaec2bc15466","sha256:5a10eb8b86d65f2a95f0cfe1518308e45afae5ceb0e0793d12a568ab7e1a5e5a"],"state_sha256":"8398d6c470546561edbe09cf8ad831a27aa7226ca5bcbac5f246d6a56be51cc0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BoK912gvN6yyUaBjZlohh4K7WpTtO19pbRTZMOHSYdmNhjO5mTxvnS/+gOX2yZKvqcs9AFqVQ6WtE37dnWJmDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-28T03:25:06.124854Z","bundle_sha256":"ed015feb38a020a99c0c992a587c6bb4f088074c810194708d157faa10a4a058"}}