{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HACXOATAPJWPA4J7Z2J7UNV2XL","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":"e54911547d0e6062422ef8f050dbe0714d26242db33f06dc51de6f6d3b12083a","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-05T20:53:06Z","title_canon_sha256":"ba0b709b4f4a60d2520bee757b34e5d58491f8f4621eed4c138ef615f5ba1a2f"},"schema_version":"1.0","source":{"id":"2204.09654","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.09654","created_at":"2026-07-05T04:16:32Z"},{"alias_kind":"arxiv_version","alias_value":"2204.09654v1","created_at":"2026-07-05T04:16:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.09654","created_at":"2026-07-05T04:16:32Z"},{"alias_kind":"pith_short_12","alias_value":"HACXOATAPJWP","created_at":"2026-07-05T04:16:32Z"},{"alias_kind":"pith_short_16","alias_value":"HACXOATAPJWPA4J7","created_at":"2026-07-05T04:16:32Z"},{"alias_kind":"pith_short_8","alias_value":"HACXOATA","created_at":"2026-07-05T04:16:32Z"}],"graph_snapshots":[{"event_id":"sha256:0704b5d9d448485d169cbc08af14264cfb5bf1f64d392141c9ecd87e47c8304f","target":"graph","created_at":"2026-07-05T04:16:32Z","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/2204.09654/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple ways to generate code comments automatically, previous work mainly considers representing a code token in its entirety semantics form only (e.g., a language model is used to learn the semantics of a code token), and additional code properties such as the tree structure of a code are included as an auxiliary input to the model. There are two limitations: 1) Learning the code token in its entirety form may not be able to","authors_text":"Fatemeh Fard, Fuxiang Chen, Rishab Sharma","cross_cats":["cs.AI","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-05T20:53:06Z","title":"LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.09654","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:c71c23d11f5612724a77b9c9b1841deab7c6e2a1138940bf512e47c27bd4c239","target":"record","created_at":"2026-07-05T04:16:32Z","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":"e54911547d0e6062422ef8f050dbe0714d26242db33f06dc51de6f6d3b12083a","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-05T20:53:06Z","title_canon_sha256":"ba0b709b4f4a60d2520bee757b34e5d58491f8f4621eed4c138ef615f5ba1a2f"},"schema_version":"1.0","source":{"id":"2204.09654","kind":"arxiv","version":1}},"canonical_sha256":"38057702607a6cf0713fce93fa36babacfcc6e7351ba4383cb6b0d4726ecfb57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38057702607a6cf0713fce93fa36babacfcc6e7351ba4383cb6b0d4726ecfb57","first_computed_at":"2026-07-05T04:16:32.588761Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:16:32.588761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WTBC4TaBeObeQSNvxDintx9OjrATZPetVzv32n4zIMJUZY5QnI08svsS7xVyCGYwneSmUXSn5Ta5c1U43/AYBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:16:32.589146Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.09654","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c71c23d11f5612724a77b9c9b1841deab7c6e2a1138940bf512e47c27bd4c239","sha256:0704b5d9d448485d169cbc08af14264cfb5bf1f64d392141c9ecd87e47c8304f"],"state_sha256":"375a71a107f3c304e06b31febfb9d0df17836635afbba06d96e217c35580d23f"}