{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4I4HQD6MPZNE4DOGQDDMS5USRH","short_pith_number":"pith:4I4HQD6M","canonical_record":{"source":{"id":"2206.03333","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-07T14:19:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d48b3a4caaa3adf3d5cf559ac39140790b05681c24eef73430dccaee837f814d","abstract_canon_sha256":"6ea8aa6c4f651ef06a74ad185feb85ad723194db8529d4b2f0fc9c2b3083c28f"},"schema_version":"1.0"},"canonical_sha256":"e238780fcc7e5a4e0dc680c6c9769289d4f3b489486af0c71107aeb815202eb7","source":{"kind":"arxiv","id":"2206.03333","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03333","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03333v1","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03333","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_12","alias_value":"4I4HQD6MPZNE","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_16","alias_value":"4I4HQD6MPZNE4DOG","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_8","alias_value":"4I4HQD6M","created_at":"2026-07-05T04:29:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4I4HQD6MPZNE4DOGQDDMS5USRH","target":"record","payload":{"canonical_record":{"source":{"id":"2206.03333","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-07T14:19:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d48b3a4caaa3adf3d5cf559ac39140790b05681c24eef73430dccaee837f814d","abstract_canon_sha256":"6ea8aa6c4f651ef06a74ad185feb85ad723194db8529d4b2f0fc9c2b3083c28f"},"schema_version":"1.0"},"canonical_sha256":"e238780fcc7e5a4e0dc680c6c9769289d4f3b489486af0c71107aeb815202eb7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:41.486570Z","signature_b64":"0q0eVGZiPpCx1ChYHjNJtUeP9T38rEbQTgaPB5kWpDo7DuwpyRSVW28xF+KuL4LVkvE0RmvebL5/MnVsetIqDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e238780fcc7e5a4e0dc680c6c9769289d4f3b489486af0c71107aeb815202eb7","last_reissued_at":"2026-07-05T04:29:41.486185Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:41.486185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.03333","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:29:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"goSaXSNfugKnk3FYdbgaTqpmSO8PTqo1U6rcIBADKI/U25oVKpYLwC8K9R3KSGrY4arrPw/eMOSH4EAKvTq9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:36.192313Z"},"content_sha256":"7388712d7ad14223c5c0cde1ca18993fafd11bf5a349e9a3101ae66e205c253a","schema_version":"1.0","event_id":"sha256:7388712d7ad14223c5c0cde1ca18993fafd11bf5a349e9a3101ae66e205c253a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4I4HQD6MPZNE4DOGQDDMS5USRH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assessing Project-Level Fine-Tuning of ML4SE Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SE","authors_text":"Egor Bogomolov, Egor Spirin, Sergey Zhuravlev, Timofey Bryksin","submitted_at":"2022-06-07T14:19:33Z","abstract_excerpt":"Machine Learning for Software Engineering (ML4SE) is an actively growing research area that focuses on methods that help programmers in their work. In order to apply the developed methods in practice, they need to achieve reasonable quality in order to help rather than distract developers. While the development of new approaches to code representation and data collection improves the overall quality of the models, it does not take into account the information that we can get from the project at hand.\n  In this work, we investigate how the model's quality can be improved if we target a specific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03333","kind":"arxiv","version":1},"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/2206.03333/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":"2026-07-05T04:29:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L05hAUfsJZYUCVAC6eSZT0PO+dUD6sQYaLu7e9ohBTOiCnYa7do8vN1nEP3ZB4tJ4KLaUn0HC9+Q+PSpVf5LDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:36.192712Z"},"content_sha256":"3c164bd3d5c07caff0013a536f13f5d523d925e1a1f52b47ed5dcf45c325c7ad","schema_version":"1.0","event_id":"sha256:3c164bd3d5c07caff0013a536f13f5d523d925e1a1f52b47ed5dcf45c325c7ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/bundle.json","state_url":"https://pith.science/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/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":"2026-07-06T19:05:36Z","links":{"resolver":"https://pith.science/pith/4I4HQD6MPZNE4DOGQDDMS5USRH","bundle":"https://pith.science/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/bundle.json","state":"https://pith.science/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4I4HQD6MPZNE4DOGQDDMS5USRH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4I4HQD6MPZNE4DOGQDDMS5USRH","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":"6ea8aa6c4f651ef06a74ad185feb85ad723194db8529d4b2f0fc9c2b3083c28f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-07T14:19:33Z","title_canon_sha256":"d48b3a4caaa3adf3d5cf559ac39140790b05681c24eef73430dccaee837f814d"},"schema_version":"1.0","source":{"id":"2206.03333","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.03333","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"arxiv_version","alias_value":"2206.03333v1","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.03333","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_12","alias_value":"4I4HQD6MPZNE","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_16","alias_value":"4I4HQD6MPZNE4DOG","created_at":"2026-07-05T04:29:41Z"},{"alias_kind":"pith_short_8","alias_value":"4I4HQD6M","created_at":"2026-07-05T04:29:41Z"}],"graph_snapshots":[{"event_id":"sha256:3c164bd3d5c07caff0013a536f13f5d523d925e1a1f52b47ed5dcf45c325c7ad","target":"graph","created_at":"2026-07-05T04:29:41Z","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/2206.03333/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine Learning for Software Engineering (ML4SE) is an actively growing research area that focuses on methods that help programmers in their work. In order to apply the developed methods in practice, they need to achieve reasonable quality in order to help rather than distract developers. While the development of new approaches to code representation and data collection improves the overall quality of the models, it does not take into account the information that we can get from the project at hand.\n  In this work, we investigate how the model's quality can be improved if we target a specific","authors_text":"Egor Bogomolov, Egor Spirin, Sergey Zhuravlev, Timofey Bryksin","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-07T14:19:33Z","title":"Assessing Project-Level Fine-Tuning of ML4SE Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.03333","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":"sha256:7388712d7ad14223c5c0cde1ca18993fafd11bf5a349e9a3101ae66e205c253a","target":"record","created_at":"2026-07-05T04:29:41Z","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":"6ea8aa6c4f651ef06a74ad185feb85ad723194db8529d4b2f0fc9c2b3083c28f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-07T14:19:33Z","title_canon_sha256":"d48b3a4caaa3adf3d5cf559ac39140790b05681c24eef73430dccaee837f814d"},"schema_version":"1.0","source":{"id":"2206.03333","kind":"arxiv","version":1}},"canonical_sha256":"e238780fcc7e5a4e0dc680c6c9769289d4f3b489486af0c71107aeb815202eb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e238780fcc7e5a4e0dc680c6c9769289d4f3b489486af0c71107aeb815202eb7","first_computed_at":"2026-07-05T04:29:41.486185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:29:41.486185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0q0eVGZiPpCx1ChYHjNJtUeP9T38rEbQTgaPB5kWpDo7DuwpyRSVW28xF+KuL4LVkvE0RmvebL5/MnVsetIqDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:29:41.486570Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.03333","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7388712d7ad14223c5c0cde1ca18993fafd11bf5a349e9a3101ae66e205c253a","sha256:3c164bd3d5c07caff0013a536f13f5d523d925e1a1f52b47ed5dcf45c325c7ad"],"state_sha256":"415e9e32e121424df86fe6de178175521980c1b0a4f8a2f1349c421a337c91d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJHN1+/XAE8gPGnjwN8JKvtnwuC2Bk4/eW2qswNB5FTwWtB0Y7BQgcfANWSlI/Hb9IAU2ticZLV2sHApHu5XBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:05:36.194734Z","bundle_sha256":"ee8b265d26b33704415a08ebf86636e7ac952a66aaddc83ad39bbfa46f5482e0"}}