{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WCW7PUZJSPPKDHB7GFJ3TGEYVH","short_pith_number":"pith:WCW7PUZJ","canonical_record":{"source":{"id":"1708.01837","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-08-06T02:53:55Z","cross_cats_sorted":[],"title_canon_sha256":"8dbac11b8b312eff483c167c8893626d34d0e38dcfb1d01fcfb3e94c281fa74e","abstract_canon_sha256":"1f5243b076a05bef4b840395e5f18a64678048c65c2580bc9b651fab988ddec2"},"schema_version":"1.0"},"canonical_sha256":"b0adf7d32993dea19c3f3153b99898a9e385d1859d86e8e572f5875eaa79d70c","source":{"kind":"arxiv","id":"1708.01837","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01837","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01837v2","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01837","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"WCW7PUZJSPPK","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WCW7PUZJSPPKDHB7","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WCW7PUZJ","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WCW7PUZJSPPKDHB7GFJ3TGEYVH","target":"record","payload":{"canonical_record":{"source":{"id":"1708.01837","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-08-06T02:53:55Z","cross_cats_sorted":[],"title_canon_sha256":"8dbac11b8b312eff483c167c8893626d34d0e38dcfb1d01fcfb3e94c281fa74e","abstract_canon_sha256":"1f5243b076a05bef4b840395e5f18a64678048c65c2580bc9b651fab988ddec2"},"schema_version":"1.0"},"canonical_sha256":"b0adf7d32993dea19c3f3153b99898a9e385d1859d86e8e572f5875eaa79d70c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:42.541988Z","signature_b64":"X8vKtDoHaI2iwqj2/bWL84sXaOeCaDFYk+JzgXoUpyX9AlRgPGrcjvdMPEzpG3rFuHgjzlNlLuSiq5BXBrlTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0adf7d32993dea19c3f3153b99898a9e385d1859d86e8e572f5875eaa79d70c","last_reissued_at":"2026-05-18T00:24:42.541357Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:42.541357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.01837","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8//CXGave+oC9AHOBZ+MJiNaXfaN1LIDWoUwlWTPGJcLk9Ox5IjEUckWSnt95O8XaQuciNRjeyITP9uvmCYqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:41:18.536134Z"},"content_sha256":"e57377991b940cc754c6778f44409bf65f31646cc1807a6e44944853fe68edfa","schema_version":"1.0","event_id":"sha256:e57377991b940cc754c6778f44409bf65f31646cc1807a6e44944853fe68edfa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WCW7PUZJSPPKDHB7GFJ3TGEYVH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CodeSum: Translate Program Language to Natural Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Ge Li, Xing Hu, Yuhan Wei, Zhi Jin","submitted_at":"2017-08-06T02:53:55Z","abstract_excerpt":"During software maintenance, programmers spend a lot of time on code comprehension. Reading comments is an effective way for programmers to reduce the reading and navigating time when comprehending source code. Therefore, as a critical task in software engineering, code summarization aims to generate brief natural language descriptions for source code. In this paper, we propose a new code summarization model named CodeSum. CodeSum exploits the attention-based sequence-to-sequence (Seq2Seq) neural network with Structure-based Traversal (SBT) of Abstract Syntax Trees (AST). The AST sequences gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01837","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y6HXgO1JLlIEueecsSeYxrOU2ywtkyOiqe1TavxxmkqvCGTg+NZZwIIH9yGfM8uBFPPOtyHwefwgebth5O4zCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T08:41:18.536487Z"},"content_sha256":"d29c5869c070c0b86ecaa0265bd9a9f12b9ccbf3841f705d8733abcc0bac72fe","schema_version":"1.0","event_id":"sha256:d29c5869c070c0b86ecaa0265bd9a9f12b9ccbf3841f705d8733abcc0bac72fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/bundle.json","state_url":"https://pith.science/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/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":"2026-07-02T08:41:18Z","links":{"resolver":"https://pith.science/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH","bundle":"https://pith.science/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/bundle.json","state":"https://pith.science/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WCW7PUZJSPPKDHB7GFJ3TGEYVH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WCW7PUZJSPPKDHB7GFJ3TGEYVH","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":"1f5243b076a05bef4b840395e5f18a64678048c65c2580bc9b651fab988ddec2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-08-06T02:53:55Z","title_canon_sha256":"8dbac11b8b312eff483c167c8893626d34d0e38dcfb1d01fcfb3e94c281fa74e"},"schema_version":"1.0","source":{"id":"1708.01837","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01837","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01837v2","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01837","created_at":"2026-05-18T00:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"WCW7PUZJSPPK","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WCW7PUZJSPPKDHB7","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WCW7PUZJ","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:d29c5869c070c0b86ecaa0265bd9a9f12b9ccbf3841f705d8733abcc0bac72fe","target":"graph","created_at":"2026-05-18T00:24:42Z","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":"During software maintenance, programmers spend a lot of time on code comprehension. Reading comments is an effective way for programmers to reduce the reading and navigating time when comprehending source code. Therefore, as a critical task in software engineering, code summarization aims to generate brief natural language descriptions for source code. In this paper, we propose a new code summarization model named CodeSum. CodeSum exploits the attention-based sequence-to-sequence (Seq2Seq) neural network with Structure-based Traversal (SBT) of Abstract Syntax Trees (AST). The AST sequences gen","authors_text":"Ge Li, Xing Hu, Yuhan Wei, Zhi Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-08-06T02:53:55Z","title":"CodeSum: Translate Program Language to Natural Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01837","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:e57377991b940cc754c6778f44409bf65f31646cc1807a6e44944853fe68edfa","target":"record","created_at":"2026-05-18T00:24:42Z","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":"1f5243b076a05bef4b840395e5f18a64678048c65c2580bc9b651fab988ddec2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2017-08-06T02:53:55Z","title_canon_sha256":"8dbac11b8b312eff483c167c8893626d34d0e38dcfb1d01fcfb3e94c281fa74e"},"schema_version":"1.0","source":{"id":"1708.01837","kind":"arxiv","version":2}},"canonical_sha256":"b0adf7d32993dea19c3f3153b99898a9e385d1859d86e8e572f5875eaa79d70c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0adf7d32993dea19c3f3153b99898a9e385d1859d86e8e572f5875eaa79d70c","first_computed_at":"2026-05-18T00:24:42.541357Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:42.541357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X8vKtDoHaI2iwqj2/bWL84sXaOeCaDFYk+JzgXoUpyX9AlRgPGrcjvdMPEzpG3rFuHgjzlNlLuSiq5BXBrlTDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:42.541988Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.01837","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e57377991b940cc754c6778f44409bf65f31646cc1807a6e44944853fe68edfa","sha256:d29c5869c070c0b86ecaa0265bd9a9f12b9ccbf3841f705d8733abcc0bac72fe"],"state_sha256":"54df3b8fb8fc4696db9ff5b2456e54e6df9e08f509eb94e06a27242c986f68e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+9NdHG7CkAcwRbwh+EZU8Dpjx6pXvI0OaoKY31epMuANfmd8fHuQy0UM2butRKw5oTcesiarzVpXhgcKmGTmDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T08:41:18.538417Z","bundle_sha256":"129bd158a2ea4b608be36b3dd5a1993e100eeca7cf95070edd9aa1bb7825917e"}}