{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JTIOCR53ODP7MP2EOIFXISGRUJ","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":"3241e6612d59e8aa07fa656c0693704895925effee70e3cfac97e235df029e8e","cross_cats_sorted":["cs.LG","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-05-25T21:16:09Z","title_canon_sha256":"6f6e839b5b7649f4fcfac553735d3ee400693b7fadfdf0dc205500fcd5c6809b"},"schema_version":"1.0","source":{"id":"2305.17145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17145","created_at":"2026-07-05T06:14:44Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17145v1","created_at":"2026-07-05T06:14:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17145","created_at":"2026-07-05T06:14:44Z"},{"alias_kind":"pith_short_12","alias_value":"JTIOCR53ODP7","created_at":"2026-07-05T06:14:44Z"},{"alias_kind":"pith_short_16","alias_value":"JTIOCR53ODP7MP2E","created_at":"2026-07-05T06:14:44Z"},{"alias_kind":"pith_short_8","alias_value":"JTIOCR53","created_at":"2026-07-05T06:14:44Z"}],"graph_snapshots":[{"event_id":"sha256:a6aebc72e216ba7a805a909418767f479b51b3e51afdac2407e628091b8fd2db","target":"graph","created_at":"2026-07-05T06:14:44Z","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/2305.17145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"TypeScript and Python are two programming languages that support optional type annotations, which are useful but tedious to introduce and maintain. This has motivated automated type prediction: given an untyped program, produce a well-typed output program. Large language models (LLMs) are promising for type prediction, but there are challenges: fill-in-the-middle performs poorly, programs may not fit into the context window, generated types may not type check, and it is difficult to measure how well-typed the output program is. We address these challenges by building OpenTau, a search-based ap","authors_text":"Arjun Guha, Federico Cassano, Ming-Ho Yee, Noah Shinn, Steven Holtzen","cross_cats":["cs.LG","cs.PL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-05-25T21:16:09Z","title":"Type Prediction With Program Decomposition and Fill-in-the-Type Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17145","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":"sha256:14ea579054ba07df232f1443e22ef18f8a7e8162b4ee82d1ac55605839577aaf","target":"record","created_at":"2026-07-05T06:14:44Z","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":"3241e6612d59e8aa07fa656c0693704895925effee70e3cfac97e235df029e8e","cross_cats_sorted":["cs.LG","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-05-25T21:16:09Z","title_canon_sha256":"6f6e839b5b7649f4fcfac553735d3ee400693b7fadfdf0dc205500fcd5c6809b"},"schema_version":"1.0","source":{"id":"2305.17145","kind":"arxiv","version":1}},"canonical_sha256":"4cd0e147bb70dff63f44720b7448d1a254e3dc00e62c0663d130926f3ee242f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4cd0e147bb70dff63f44720b7448d1a254e3dc00e62c0663d130926f3ee242f3","first_computed_at":"2026-07-05T06:14:44.029274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:44.029274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H1ofMGtWC98DNTRPCYWm/WKQXCPSfYqVRJsdZV+91s51/qBM5VrIJ4xgRwOHZw5FZGCSyI5+p0H4Gd6IBLWiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:44.029616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14ea579054ba07df232f1443e22ef18f8a7e8162b4ee82d1ac55605839577aaf","sha256:a6aebc72e216ba7a805a909418767f479b51b3e51afdac2407e628091b8fd2db"],"state_sha256":"1b87e1b5fc2f5799956dec3fb9d7dcd6943323140bd667cf591b0ccfcf8ced0d"}