{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XAYZRRXQBEWYAIK5UB57XCXWUO","short_pith_number":"pith:XAYZRRXQ","canonical_record":{"source":{"id":"2412.16594","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-21T11:53:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ba8eff5eb9198b1d25a54eedb608d0bb5f84e59afda46a3b70dc430be37327ba","abstract_canon_sha256":"708185bcd5ec969d6ac0eb3a69fd30c85c07fd076333d11fc213c62504f521ce"},"schema_version":"1.0"},"canonical_sha256":"b83198c6f0092d80215da07bfb8af6a389674fb83e7510231a56b4767e9f3270","source":{"kind":"arxiv","id":"2412.16594","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16594","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16594v3","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16594","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"XAYZRRXQBEWY","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"XAYZRRXQBEWYAIK5","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"XAYZRRXQ","created_at":"2026-07-05T11:09:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XAYZRRXQBEWYAIK5UB57XCXWUO","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16594","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-21T11:53:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ba8eff5eb9198b1d25a54eedb608d0bb5f84e59afda46a3b70dc430be37327ba","abstract_canon_sha256":"708185bcd5ec969d6ac0eb3a69fd30c85c07fd076333d11fc213c62504f521ce"},"schema_version":"1.0"},"canonical_sha256":"b83198c6f0092d80215da07bfb8af6a389674fb83e7510231a56b4767e9f3270","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:05.751445Z","signature_b64":"1GF3/ZruSvkypDuNPt0jLI/j1Kfz8vl7SemH+NXy5rmoE3QpZlSK+I9hxXXlQjFs2gHFTU6cLLPMdDrTrKGdBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b83198c6f0092d80215da07bfb8af6a389674fb83e7510231a56b4767e9f3270","last_reissued_at":"2026-07-05T11:09:05.751012Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:05.751012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16594","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":"2026-07-05T11:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HqnYc90gQVO0CTsfAOh7ElcvP/BPsbLxaNiRkO9S1P7cxBrsQ7ZraGtO0l5ZfVVxdWnWUzhjBt8yBW0ycXO8AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:18:25.779552Z"},"content_sha256":"d196df0554da1b97d77104cc5711d7607ba524e115c93bed931c7f214f0bc767","schema_version":"1.0","event_id":"sha256:d196df0554da1b97d77104cc5711d7607ba524e115c93bed931c7f214f0bc767"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XAYZRRXQBEWYAIK5UB57XCXWUO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Basak Demirok, Mucahid Kutlu","submitted_at":"2024-12-21T11:53:49Z","abstract_excerpt":"While large language models provide significant convenience for software development, they can lead to ethical issues in job interviews and student assignments. Therefore, determining whether a piece of code is written by a human or generated by an artificial intelligence (AI) model is a critical issue. In this study, we present AIGCodeSet, which consists of 2.828 AI-generated and 4.755 human-written Python codes, created using CodeLlama 34B, Codestral 22B, and Gemini 1.5 Flash. In addition, we share the results of our experiments conducted with baseline detection methods. Our experiments show"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16594","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/2412.16594/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":"2026-07-05T11:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CLOkHekMKLXfJdQX0xlQKUzBxZaKX2IKTDWUhLx1mOIQ2jVH2SVoRA2JAUhfcQZDBZpOrZs6G3QUJThHb/rzAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:18:25.780442Z"},"content_sha256":"ae167c6939b776bd9853b098e104ad43950e437b927b2f4e1b449eab67c9c236","schema_version":"1.0","event_id":"sha256:ae167c6939b776bd9853b098e104ad43950e437b927b2f4e1b449eab67c9c236"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/bundle.json","state_url":"https://pith.science/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/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":"2026-08-09T00:18:25Z","links":{"resolver":"https://pith.science/pith/XAYZRRXQBEWYAIK5UB57XCXWUO","bundle":"https://pith.science/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/bundle.json","state":"https://pith.science/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XAYZRRXQBEWYAIK5UB57XCXWUO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XAYZRRXQBEWYAIK5UB57XCXWUO","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":"708185bcd5ec969d6ac0eb3a69fd30c85c07fd076333d11fc213c62504f521ce","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-21T11:53:49Z","title_canon_sha256":"ba8eff5eb9198b1d25a54eedb608d0bb5f84e59afda46a3b70dc430be37327ba"},"schema_version":"1.0","source":{"id":"2412.16594","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16594","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16594v3","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16594","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"XAYZRRXQBEWY","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"XAYZRRXQBEWYAIK5","created_at":"2026-07-05T11:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"XAYZRRXQ","created_at":"2026-07-05T11:09:05Z"}],"graph_snapshots":[{"event_id":"sha256:ae167c6939b776bd9853b098e104ad43950e437b927b2f4e1b449eab67c9c236","target":"graph","created_at":"2026-07-05T11:09:05Z","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/2412.16594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large language models provide significant convenience for software development, they can lead to ethical issues in job interviews and student assignments. Therefore, determining whether a piece of code is written by a human or generated by an artificial intelligence (AI) model is a critical issue. In this study, we present AIGCodeSet, which consists of 2.828 AI-generated and 4.755 human-written Python codes, created using CodeLlama 34B, Codestral 22B, and Gemini 1.5 Flash. In addition, we share the results of our experiments conducted with baseline detection methods. Our experiments show","authors_text":"Basak Demirok, Mucahid Kutlu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-21T11:53:49Z","title":"AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16594","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:d196df0554da1b97d77104cc5711d7607ba524e115c93bed931c7f214f0bc767","target":"record","created_at":"2026-07-05T11:09:05Z","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":"708185bcd5ec969d6ac0eb3a69fd30c85c07fd076333d11fc213c62504f521ce","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-21T11:53:49Z","title_canon_sha256":"ba8eff5eb9198b1d25a54eedb608d0bb5f84e59afda46a3b70dc430be37327ba"},"schema_version":"1.0","source":{"id":"2412.16594","kind":"arxiv","version":3}},"canonical_sha256":"b83198c6f0092d80215da07bfb8af6a389674fb83e7510231a56b4767e9f3270","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b83198c6f0092d80215da07bfb8af6a389674fb83e7510231a56b4767e9f3270","first_computed_at":"2026-07-05T11:09:05.751012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:05.751012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1GF3/ZruSvkypDuNPt0jLI/j1Kfz8vl7SemH+NXy5rmoE3QpZlSK+I9hxXXlQjFs2gHFTU6cLLPMdDrTrKGdBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:05.751445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16594","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d196df0554da1b97d77104cc5711d7607ba524e115c93bed931c7f214f0bc767","sha256:ae167c6939b776bd9853b098e104ad43950e437b927b2f4e1b449eab67c9c236"],"state_sha256":"65c516e40294182b3a7c011b6dcdd895fe065eda356fe7ac4a6ea2ad8fcfe111"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lzh5AOoTjcnVNGqb0E239ca5LCLUZ+O7XfLFLnk6OYnlEUnUcZ7Flu/ckUe0bfZfMfQooIhsdC387QdG3RwJDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:18:25.786258Z","bundle_sha256":"f3384fa4179527df0b63503db0218201e9bef4a8ca4a36e32254f0d96725be74"}}