{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IFI3YG7TXINQ7S6U566L3AYQEA","short_pith_number":"pith:IFI3YG7T","canonical_record":{"source":{"id":"2005.14373","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-05-29T03:21:33Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"e8a8f205ba0838a3847dd5d446329b1bc11a71f374af12da22f5e2115ccac63e","abstract_canon_sha256":"ace0830a9d3f79a8584a173bdaeb11812074049925dbcd57e3e9175dca8a5679"},"schema_version":"1.0"},"canonical_sha256":"4151bc1bf3ba1b0fcbd4efbcbd8310203e743272109d637193acdef44ab62dbb","source":{"kind":"arxiv","id":"2005.14373","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.14373","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"arxiv_version","alias_value":"2005.14373v2","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.14373","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_12","alias_value":"IFI3YG7TXINQ","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_16","alias_value":"IFI3YG7TXINQ7S6U","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_8","alias_value":"IFI3YG7T","created_at":"2026-07-05T03:58:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IFI3YG7TXINQ7S6U566L3AYQEA","target":"record","payload":{"canonical_record":{"source":{"id":"2005.14373","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-05-29T03:21:33Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"e8a8f205ba0838a3847dd5d446329b1bc11a71f374af12da22f5e2115ccac63e","abstract_canon_sha256":"ace0830a9d3f79a8584a173bdaeb11812074049925dbcd57e3e9175dca8a5679"},"schema_version":"1.0"},"canonical_sha256":"4151bc1bf3ba1b0fcbd4efbcbd8310203e743272109d637193acdef44ab62dbb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:58:44.478775Z","signature_b64":"VH3gmDAH+PuhaN/9VBFLD/6+46t6b6nOWdWSr5M5aa2Ce9X6rZnI5mUdavcCxBctVq61jqj7Sb7rS6lieSJHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4151bc1bf3ba1b0fcbd4efbcbd8310203e743272109d637193acdef44ab62dbb","last_reissued_at":"2026-07-05T03:58:44.478254Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:58:44.478254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.14373","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":"2026-07-05T03:58:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tXbr6SJlKG/uVZAzuGOjowknSpqvfPTJZPWdUebXWxE3pVqQ1YKFKKVywWrLzHDUCi15BM98pkTZJ+yHskBgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:11:46.967748Z"},"content_sha256":"5083552f1890506b0003078e2afd64bdc6d0fe8bcc91b90b3661dd82bbb090c1","schema_version":"1.0","event_id":"sha256:5083552f1890506b0003078e2afd64bdc6d0fe8bcc91b90b3661dd82bbb090c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IFI3YG7TXINQ7S6U566L3AYQEA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.SE","authors_text":"Ahmed E. Hassan, Chao Liu, David Lo, Shanping Li, Xin Xia, Zhiwei Liu","submitted_at":"2020-05-29T03:21:33Z","abstract_excerpt":"To accelerate software development, developers frequently search and reuse existing code snippets from a large-scale codebase, e.g., GitHub. Over the years, researchers proposed many information retrieval based models for code search, but they fail to connect the semantic gap between query and code. An early successful deep learning based model DeepCS solved this issue by learning the relationship between pairs of code methods and corresponding natural language descriptions. Two major advantages of DeepCS are the capability of understanding irrelevant/noisy keywords and capturing sequential re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.14373","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.14373/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":"2026-07-05T03:58:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tDMkRjiWDLPu9WY7xDdM7H3GtVjBiOSzdH5jYHXbJJzw/QcEWzoe46qOvOZEO31DvGtLBEy0z2EnKiR068q9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:11:46.968253Z"},"content_sha256":"b6a94f1653ba35de5d31c695aa8bfcbf4efa284d05232f610390a0210deb6f2c","schema_version":"1.0","event_id":"sha256:b6a94f1653ba35de5d31c695aa8bfcbf4efa284d05232f610390a0210deb6f2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IFI3YG7TXINQ7S6U566L3AYQEA/bundle.json","state_url":"https://pith.science/pith/IFI3YG7TXINQ7S6U566L3AYQEA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IFI3YG7TXINQ7S6U566L3AYQEA/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":"2026-08-20T05:11:46Z","links":{"resolver":"https://pith.science/pith/IFI3YG7TXINQ7S6U566L3AYQEA","bundle":"https://pith.science/pith/IFI3YG7TXINQ7S6U566L3AYQEA/bundle.json","state":"https://pith.science/pith/IFI3YG7TXINQ7S6U566L3AYQEA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IFI3YG7TXINQ7S6U566L3AYQEA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IFI3YG7TXINQ7S6U566L3AYQEA","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":"ace0830a9d3f79a8584a173bdaeb11812074049925dbcd57e3e9175dca8a5679","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-05-29T03:21:33Z","title_canon_sha256":"e8a8f205ba0838a3847dd5d446329b1bc11a71f374af12da22f5e2115ccac63e"},"schema_version":"1.0","source":{"id":"2005.14373","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.14373","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"arxiv_version","alias_value":"2005.14373v2","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.14373","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_12","alias_value":"IFI3YG7TXINQ","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_16","alias_value":"IFI3YG7TXINQ7S6U","created_at":"2026-07-05T03:58:44Z"},{"alias_kind":"pith_short_8","alias_value":"IFI3YG7T","created_at":"2026-07-05T03:58:44Z"}],"graph_snapshots":[{"event_id":"sha256:b6a94f1653ba35de5d31c695aa8bfcbf4efa284d05232f610390a0210deb6f2c","target":"graph","created_at":"2026-07-05T03:58:44Z","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/2005.14373/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To accelerate software development, developers frequently search and reuse existing code snippets from a large-scale codebase, e.g., GitHub. Over the years, researchers proposed many information retrieval based models for code search, but they fail to connect the semantic gap between query and code. An early successful deep learning based model DeepCS solved this issue by learning the relationship between pairs of code methods and corresponding natural language descriptions. Two major advantages of DeepCS are the capability of understanding irrelevant/noisy keywords and capturing sequential re","authors_text":"Ahmed E. Hassan, Chao Liu, David Lo, Shanping Li, Xin Xia, Zhiwei Liu","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-05-29T03:21:33Z","title":"CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.14373","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":"sha256:5083552f1890506b0003078e2afd64bdc6d0fe8bcc91b90b3661dd82bbb090c1","target":"record","created_at":"2026-07-05T03:58:44Z","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":"ace0830a9d3f79a8584a173bdaeb11812074049925dbcd57e3e9175dca8a5679","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-05-29T03:21:33Z","title_canon_sha256":"e8a8f205ba0838a3847dd5d446329b1bc11a71f374af12da22f5e2115ccac63e"},"schema_version":"1.0","source":{"id":"2005.14373","kind":"arxiv","version":2}},"canonical_sha256":"4151bc1bf3ba1b0fcbd4efbcbd8310203e743272109d637193acdef44ab62dbb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4151bc1bf3ba1b0fcbd4efbcbd8310203e743272109d637193acdef44ab62dbb","first_computed_at":"2026-07-05T03:58:44.478254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:58:44.478254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VH3gmDAH+PuhaN/9VBFLD/6+46t6b6nOWdWSr5M5aa2Ce9X6rZnI5mUdavcCxBctVq61jqj7Sb7rS6lieSJHCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:58:44.478775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.14373","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5083552f1890506b0003078e2afd64bdc6d0fe8bcc91b90b3661dd82bbb090c1","sha256:b6a94f1653ba35de5d31c695aa8bfcbf4efa284d05232f610390a0210deb6f2c"],"state_sha256":"28a45e766bb6295f5ad943c8c7efd0576e6a6d2bf738160090a811473603722d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IUZRWV2qK01d/KkZzz0treQksc8sb0+J6cdHzES03hBouMHW23sm7K4EnNjUl7UUdk+ZVV0+epK9MA2VjqBIBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T05:11:46.973812Z","bundle_sha256":"7bfaf3f3f5465b904703579895d1374949602ba7158dea92c2feee3dfb2e9f07"}}