{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IUQBXN6WD2A3IRB6PJPBYYAXBV","short_pith_number":"pith:IUQBXN6W","canonical_record":{"source":{"id":"2503.17502","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-03-21T19:29:50Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"5ef571f3ffaef13864cc9614aab29ba50f5998153b9edb12304e4a4d96da9bfc","abstract_canon_sha256":"609b242d41935e2a7d56552e7d87a81b7a5dcb86d35fbd8759595feb0f3b867d"},"schema_version":"1.0"},"canonical_sha256":"45201bb7d61e81b4443e7a5e1c60170d5087f778f07e59bb0572a646febd0689","source":{"kind":"arxiv","id":"2503.17502","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17502","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17502v1","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17502","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"IUQBXN6WD2A3","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"IUQBXN6WD2A3IRB6","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"IUQBXN6W","created_at":"2026-07-05T10:37:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IUQBXN6WD2A3IRB6PJPBYYAXBV","target":"record","payload":{"canonical_record":{"source":{"id":"2503.17502","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-03-21T19:29:50Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"5ef571f3ffaef13864cc9614aab29ba50f5998153b9edb12304e4a4d96da9bfc","abstract_canon_sha256":"609b242d41935e2a7d56552e7d87a81b7a5dcb86d35fbd8759595feb0f3b867d"},"schema_version":"1.0"},"canonical_sha256":"45201bb7d61e81b4443e7a5e1c60170d5087f778f07e59bb0572a646febd0689","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:10.886924Z","signature_b64":"oVaDTYL84QL11HULEpnAldHyTJxurZzkj/yBxF6jIrQ098f6IZUxNiB3mmVZti7umsoX6iri0dAaZ0MRcR01BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45201bb7d61e81b4443e7a5e1c60170d5087f778f07e59bb0572a646febd0689","last_reissued_at":"2026-07-05T10:37:10.886452Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:10.886452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.17502","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":"2026-07-05T10:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GrV1eI/NdQdSSZipIQ1egSl0/zUKcjSLZxwf94cdjn+/8XbRi2/v7m8PZqSTHxvhR4lNT4Qu/3xF+oDq5Xa3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:39.524325Z"},"content_sha256":"85b6e3b465252701b5c92785b3c07820a27c3534ab923677cc1e00408223a1f4","schema_version":"1.0","event_id":"sha256:85b6e3b465252701b5c92785b3c07820a27c3534ab923677cc1e00408223a1f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IUQBXN6WD2A3IRB6PJPBYYAXBV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.SE","authors_text":"Hamed Jelodar, Mohammad Meymani, Roozbeh Razavi-Far","submitted_at":"2025-03-21T19:29:50Z","abstract_excerpt":"Large language models (LLMs) and transformer-based architectures are increasingly utilized for source code analysis. As software systems grow in complexity, integrating LLMs into code analysis workflows becomes essential for enhancing efficiency, accuracy, and automation. This paper explores the role of LLMs for different code analysis tasks, focusing on three key aspects: 1) what they can analyze and their applications, 2) what models are used and 3) what datasets are used, and the challenges they face. Regarding the goal of this research, we investigate scholarly articles that explore the us"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17502","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/2503.17502/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":"2026-07-05T10:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+5c+OBcQmZR/7QlhR985SV1pk+Md1j6NGWJT8fTBLn+6oAc+NrubewXeXuIfOdxQxXaKc4RfmtHBjKvMCn8qDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:39.525351Z"},"content_sha256":"c0fbb0d001f844956809050da1cd7dcced1b552e0a5f6bbd5a5a34e092deaaa4","schema_version":"1.0","event_id":"sha256:c0fbb0d001f844956809050da1cd7dcced1b552e0a5f6bbd5a5a34e092deaaa4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/bundle.json","state_url":"https://pith.science/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/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":"2026-08-07T23:35:39Z","links":{"resolver":"https://pith.science/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV","bundle":"https://pith.science/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/bundle.json","state":"https://pith.science/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IUQBXN6WD2A3IRB6PJPBYYAXBV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IUQBXN6WD2A3IRB6PJPBYYAXBV","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":"609b242d41935e2a7d56552e7d87a81b7a5dcb86d35fbd8759595feb0f3b867d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-03-21T19:29:50Z","title_canon_sha256":"5ef571f3ffaef13864cc9614aab29ba50f5998153b9edb12304e4a4d96da9bfc"},"schema_version":"1.0","source":{"id":"2503.17502","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17502","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17502v1","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17502","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"IUQBXN6WD2A3","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"IUQBXN6WD2A3IRB6","created_at":"2026-07-05T10:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"IUQBXN6W","created_at":"2026-07-05T10:37:10Z"}],"graph_snapshots":[{"event_id":"sha256:c0fbb0d001f844956809050da1cd7dcced1b552e0a5f6bbd5a5a34e092deaaa4","target":"graph","created_at":"2026-07-05T10:37:10Z","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/2503.17502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) and transformer-based architectures are increasingly utilized for source code analysis. As software systems grow in complexity, integrating LLMs into code analysis workflows becomes essential for enhancing efficiency, accuracy, and automation. This paper explores the role of LLMs for different code analysis tasks, focusing on three key aspects: 1) what they can analyze and their applications, 2) what models are used and 3) what datasets are used, and the challenges they face. Regarding the goal of this research, we investigate scholarly articles that explore the us","authors_text":"Hamed Jelodar, Mohammad Meymani, Roozbeh Razavi-Far","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-03-21T19:29:50Z","title":"Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17502","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":"sha256:85b6e3b465252701b5c92785b3c07820a27c3534ab923677cc1e00408223a1f4","target":"record","created_at":"2026-07-05T10:37:10Z","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":"609b242d41935e2a7d56552e7d87a81b7a5dcb86d35fbd8759595feb0f3b867d","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-03-21T19:29:50Z","title_canon_sha256":"5ef571f3ffaef13864cc9614aab29ba50f5998153b9edb12304e4a4d96da9bfc"},"schema_version":"1.0","source":{"id":"2503.17502","kind":"arxiv","version":1}},"canonical_sha256":"45201bb7d61e81b4443e7a5e1c60170d5087f778f07e59bb0572a646febd0689","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45201bb7d61e81b4443e7a5e1c60170d5087f778f07e59bb0572a646febd0689","first_computed_at":"2026-07-05T10:37:10.886452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:10.886452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oVaDTYL84QL11HULEpnAldHyTJxurZzkj/yBxF6jIrQ098f6IZUxNiB3mmVZti7umsoX6iri0dAaZ0MRcR01BA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:10.886924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.17502","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85b6e3b465252701b5c92785b3c07820a27c3534ab923677cc1e00408223a1f4","sha256:c0fbb0d001f844956809050da1cd7dcced1b552e0a5f6bbd5a5a34e092deaaa4"],"state_sha256":"1d483a944573477bd48343e622c8c322f80679828ce411236a7664eca717afd8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A/4FDd7iUyZSNmnyHPzjCd9ewg1YD/G0hhbfdBkde3yA7dOrcAJ8TFHH6mh7QgGYcTQRlA8RiA2pbtZfsGViBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:35:39.531889Z","bundle_sha256":"e3c517dc72a517a2870763f766a3013e86c44fa7c0cdb90601ef31d7a09bff79"}}