{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:L4TYTKIXGTY3VF7HQREHGKN42E","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":"baefe19ce9c88dfc071bea97dd9c1d0998c17e57f69e3ca4a0946217f9b880b6","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-18T23:33:11Z","title_canon_sha256":"e384ac09bad5da2d058582a7d520e454714c453938229ce1c8dc2a46ec286ce1"},"schema_version":"1.0","source":{"id":"1810.08305","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.08305","created_at":"2026-05-17T23:45:52Z"},{"alias_kind":"arxiv_version","alias_value":"1810.08305v2","created_at":"2026-05-17T23:45:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.08305","created_at":"2026-05-17T23:45:52Z"},{"alias_kind":"pith_short_12","alias_value":"L4TYTKIXGTY3","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"L4TYTKIXGTY3VF7H","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"L4TYTKIX","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:d0b2b634eab4446e2ad8364c17492d91cec7fe25bed2f595a4b09dfd3f54ae85","target":"graph","created_at":"2026-05-17T23:45:52Z","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"},"paper":{"abstract_excerpt":"Machine learning models that take computer program source code as input typically use Natural Language Processing (NLP) techniques. However, a major challenge is that code is written using an open, rapidly changing vocabulary due to, e.g., the coinage of new variable and method names. Reasoning over such a vocabulary is not something for which most NLP methods are designed. We introduce a Graph-Structured Cache to address this problem; this cache contains a node for each new word the model encounters with edges connecting each word to its occurrences in the code. We find that combining this gr","authors_text":"Anima Anandkumar, Badal Singh, Milan Cvitkovic","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-18T23:33:11Z","title":"Open Vocabulary Learning on Source Code with a Graph-Structured Cache"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.08305","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":"sha256:0f20c91809df218db9dcc728d45f9449e037fd218e612148c9d35471fbba4648","target":"record","created_at":"2026-05-17T23:45:52Z","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":"baefe19ce9c88dfc071bea97dd9c1d0998c17e57f69e3ca4a0946217f9b880b6","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-18T23:33:11Z","title_canon_sha256":"e384ac09bad5da2d058582a7d520e454714c453938229ce1c8dc2a46ec286ce1"},"schema_version":"1.0","source":{"id":"1810.08305","kind":"arxiv","version":2}},"canonical_sha256":"5f2789a91734f1ba97e784487329bcd11e07f72a0128db2c371dabefa60e5f9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f2789a91734f1ba97e784487329bcd11e07f72a0128db2c371dabefa60e5f9a","first_computed_at":"2026-05-17T23:45:52.746082Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:52.746082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ipEn2emeQg/d7He7b28fykvDuWsHmysCtX3s56d2MfX25utupWpXPU35Frf56k/PoIgljt20kIw5yvRq2hc2BQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:52.746768Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.08305","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f20c91809df218db9dcc728d45f9449e037fd218e612148c9d35471fbba4648","sha256:d0b2b634eab4446e2ad8364c17492d91cec7fe25bed2f595a4b09dfd3f54ae85"],"state_sha256":"1dc5ad2b2acf1a55e8610a15086a720700dc4ab54202ba92e7a45ae3d643fd0d"}