{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NRGYJTM2YQ6SZVLUFLRNMCNMVX","short_pith_number":"pith:NRGYJTM2","canonical_record":{"source":{"id":"2307.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-07-18T11:40:31Z","cross_cats_sorted":[],"title_canon_sha256":"1477395ab48c4b5d30a6e68be5fa411ef86551d2fa5e0d55052966645cad0bcd","abstract_canon_sha256":"ec8c86fa148ef2e1e20fb6aef6da527bde72094e3765bee007681e91b9ce34b7"},"schema_version":"1.0"},"canonical_sha256":"6c4d84cd9ac43d2cd5742ae2d609acadf12885c3afe689e8e2dd8525e8f70097","source":{"kind":"arxiv","id":"2307.09163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09163","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09163v1","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09163","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_12","alias_value":"NRGYJTM2YQ6S","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"NRGYJTM2YQ6SZVLU","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"NRGYJTM2","created_at":"2026-07-05T06:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NRGYJTM2YQ6SZVLUFLRNMCNMVX","target":"record","payload":{"canonical_record":{"source":{"id":"2307.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-07-18T11:40:31Z","cross_cats_sorted":[],"title_canon_sha256":"1477395ab48c4b5d30a6e68be5fa411ef86551d2fa5e0d55052966645cad0bcd","abstract_canon_sha256":"ec8c86fa148ef2e1e20fb6aef6da527bde72094e3765bee007681e91b9ce34b7"},"schema_version":"1.0"},"canonical_sha256":"6c4d84cd9ac43d2cd5742ae2d609acadf12885c3afe689e8e2dd8525e8f70097","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:13.426337Z","signature_b64":"Y0EbSRDzdAVyxL3zZiMxrlHGMmx/GtNLE6qEM27excHHeAQDymvfB8ktZG2CaT9QIhlVyfR6QXQpNXqvT8XkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c4d84cd9ac43d2cd5742ae2d609acadf12885c3afe689e8e2dd8525e8f70097","last_reissued_at":"2026-07-05T06:32:13.425841Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:13.425841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.09163","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":"2026-07-05T06:32:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0qL5WHXP2dPdK2nv1KSuApe8MkSNq0ucBESrAfzVr8Ik1vdF6gN7934ORA8gIakzkhPgfr+fB6OSUmMFdJU1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:00:51.070889Z"},"content_sha256":"1caf5599d3990939ccaecb99d3bfb87317edd3eac1ddfb5eb07006112d2fe2cd","schema_version":"1.0","event_id":"sha256:1caf5599d3990939ccaecb99d3bfb87317edd3eac1ddfb5eb07006112d2fe2cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NRGYJTM2YQ6SZVLUFLRNMCNMVX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Type Inference for Python","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Chaozheng Wang, Cuiyun Gao, Michael R. Lyu, Wenxuan Wang, Yun Peng","submitted_at":"2023-07-18T11:40:31Z","abstract_excerpt":"Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potential type errors, leading researchers to explore automatic type inference approaches for Python programs. The rule-based type inference approaches can ensure the accuracy of predicted variable types, but they suffer from low coverage problems. Supervised type inference approaches, while feature-agnostic, require large, high-quality annotated datasets and are limited to pre-defined types. As zero-shot approaches, the cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09163","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/2307.09163/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":"2026-07-05T06:32:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vyMgiBVFEpqkCf8rOqr8UViLkm5wh8htEBycqnzgiGiodK3dJBlOzHkZzRRG+rYsQJQ8wKNU83HrhdABTzFBCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:00:51.071225Z"},"content_sha256":"092692353318469e083bb71b6d8d68e2ca8673941346671bd76d97354fd20f24","schema_version":"1.0","event_id":"sha256:092692353318469e083bb71b6d8d68e2ca8673941346671bd76d97354fd20f24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/bundle.json","state_url":"https://pith.science/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/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":"2026-08-15T00:00:51Z","links":{"resolver":"https://pith.science/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX","bundle":"https://pith.science/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/bundle.json","state":"https://pith.science/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NRGYJTM2YQ6SZVLUFLRNMCNMVX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NRGYJTM2YQ6SZVLUFLRNMCNMVX","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":"ec8c86fa148ef2e1e20fb6aef6da527bde72094e3765bee007681e91b9ce34b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-07-18T11:40:31Z","title_canon_sha256":"1477395ab48c4b5d30a6e68be5fa411ef86551d2fa5e0d55052966645cad0bcd"},"schema_version":"1.0","source":{"id":"2307.09163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09163","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09163v1","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09163","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_12","alias_value":"NRGYJTM2YQ6S","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"NRGYJTM2YQ6SZVLU","created_at":"2026-07-05T06:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"NRGYJTM2","created_at":"2026-07-05T06:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:092692353318469e083bb71b6d8d68e2ca8673941346671bd76d97354fd20f24","target":"graph","created_at":"2026-07-05T06:32:13Z","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/2307.09163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potential type errors, leading researchers to explore automatic type inference approaches for Python programs. The rule-based type inference approaches can ensure the accuracy of predicted variable types, but they suffer from low coverage problems. Supervised type inference approaches, while feature-agnostic, require large, high-quality annotated datasets and are limited to pre-defined types. As zero-shot approaches, the cl","authors_text":"Chaozheng Wang, Cuiyun Gao, Michael R. Lyu, Wenxuan Wang, Yun Peng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-07-18T11:40:31Z","title":"Generative Type Inference for Python"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09163","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":"sha256:1caf5599d3990939ccaecb99d3bfb87317edd3eac1ddfb5eb07006112d2fe2cd","target":"record","created_at":"2026-07-05T06:32:13Z","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":"ec8c86fa148ef2e1e20fb6aef6da527bde72094e3765bee007681e91b9ce34b7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-07-18T11:40:31Z","title_canon_sha256":"1477395ab48c4b5d30a6e68be5fa411ef86551d2fa5e0d55052966645cad0bcd"},"schema_version":"1.0","source":{"id":"2307.09163","kind":"arxiv","version":1}},"canonical_sha256":"6c4d84cd9ac43d2cd5742ae2d609acadf12885c3afe689e8e2dd8525e8f70097","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c4d84cd9ac43d2cd5742ae2d609acadf12885c3afe689e8e2dd8525e8f70097","first_computed_at":"2026-07-05T06:32:13.425841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:13.425841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y0EbSRDzdAVyxL3zZiMxrlHGMmx/GtNLE6qEM27excHHeAQDymvfB8ktZG2CaT9QIhlVyfR6QXQpNXqvT8XkBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:13.426337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.09163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1caf5599d3990939ccaecb99d3bfb87317edd3eac1ddfb5eb07006112d2fe2cd","sha256:092692353318469e083bb71b6d8d68e2ca8673941346671bd76d97354fd20f24"],"state_sha256":"0dea86b7ffc5b4a753d46790b5cad1c987277929717ab4b359ebb46602303ae4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8KBopSeZIBUvNNkbtg6T+UEgPut+cv4pvO4R9uDCKyi27d6InUDP/PMcQR5RvN8SYVRZrCXyplF5vQXVeeCcCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:00:51.074340Z","bundle_sha256":"d505474b38d8d9ab146129b81256ad2af71b6614395a1ab87319cabf4552a614"}}