{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Y237CIZC2NRX5X5JGPPJ6PBHJF","short_pith_number":"pith:Y237CIZC","canonical_record":{"source":{"id":"2311.13445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-22T15:11:35Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"9529cc6b7f5f82e186a5517eb911607be5a443aeaf3e3e1c3e234d2a78aa7903","abstract_canon_sha256":"fdce37f244d52866df64a0498f6c4b615eb1e602083f6994f6700c8448d881a7"},"schema_version":"1.0"},"canonical_sha256":"c6b7f12322d3637edfa933de9f3c27496f0f20e104abe1d224cf68c02dd55e3e","source":{"kind":"arxiv","id":"2311.13445","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13445","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13445v1","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13445","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_12","alias_value":"Y237CIZC2NRX","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_16","alias_value":"Y237CIZC2NRX5X5J","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_8","alias_value":"Y237CIZC","created_at":"2026-07-05T07:15:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Y237CIZC2NRX5X5JGPPJ6PBHJF","target":"record","payload":{"canonical_record":{"source":{"id":"2311.13445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-22T15:11:35Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"9529cc6b7f5f82e186a5517eb911607be5a443aeaf3e3e1c3e234d2a78aa7903","abstract_canon_sha256":"fdce37f244d52866df64a0498f6c4b615eb1e602083f6994f6700c8448d881a7"},"schema_version":"1.0"},"canonical_sha256":"c6b7f12322d3637edfa933de9f3c27496f0f20e104abe1d224cf68c02dd55e3e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:15:38.299955Z","signature_b64":"7wsDpolT68yGDOwdf9PV2x/JGSB1mFIMU3aQdVqes8QNzqMtjXDTbStPC3Tg2Oo/TrSEorfZ/D+jLq0ScUCTDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6b7f12322d3637edfa933de9f3c27496f0f20e104abe1d224cf68c02dd55e3e","last_reissued_at":"2026-07-05T07:15:38.299452Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:15:38.299452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.13445","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":"2026-07-05T07:15:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MIBq/UepO8AnNLjRLDex2tpK+G1X8SD/+2eJg0fuE4PKyi/JVsYM60sgXbUXafe/+6XM/hy1iJMr2oPeIL27BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:34:10.302594Z"},"content_sha256":"2e4fd830b22322e61b6a2b5a69d4aecaa60b751e642627ba66aaa77fc352ae7a","schema_version":"1.0","event_id":"sha256:2e4fd830b22322e61b6a2b5a69d4aecaa60b751e642627ba66aaa77fc352ae7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Y237CIZC2NRX5X5JGPPJ6PBHJF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transfer Attacks and Defenses for Large Language Models on Coding Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Chi Zhang, Corina Pasareanu, Limin Jia, Matt Fredrikson, Ravi Mangal, Zifan Wang","submitted_at":"2023-11-22T15:11:35Z","abstract_excerpt":"Modern large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities for coding tasks including writing and reasoning about code. They improve upon previous neural network models of code, such as code2seq or seq2seq, that already demonstrated competitive results when performing tasks such as code summarization and identifying code vulnerabilities. However, these previous code models were shown vulnerable to adversarial examples, i.e. small syntactic perturbations that do not change the program's semantics, such as the inclusion of \"dead code\" through false conditions"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13445","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/2311.13445/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":"2026-07-05T07:15:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z4aNidj3md9fr2geWtuTsYk1xSDrILUvv8jAkN4KZlmQNfNYFi1SIzOZz79osVAWKhAcnwNRdUaHEaZdjJGBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:34:10.303099Z"},"content_sha256":"651851cb3d8388f19606651608231dbc6a11f47945d9064cb02b22f16042bfe0","schema_version":"1.0","event_id":"sha256:651851cb3d8388f19606651608231dbc6a11f47945d9064cb02b22f16042bfe0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/bundle.json","state_url":"https://pith.science/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/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":"2026-08-06T18:34:10Z","links":{"resolver":"https://pith.science/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF","bundle":"https://pith.science/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/bundle.json","state":"https://pith.science/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y237CIZC2NRX5X5JGPPJ6PBHJF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Y237CIZC2NRX5X5JGPPJ6PBHJF","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":"fdce37f244d52866df64a0498f6c4b615eb1e602083f6994f6700c8448d881a7","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-22T15:11:35Z","title_canon_sha256":"9529cc6b7f5f82e186a5517eb911607be5a443aeaf3e3e1c3e234d2a78aa7903"},"schema_version":"1.0","source":{"id":"2311.13445","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13445","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13445v1","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13445","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_12","alias_value":"Y237CIZC2NRX","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_16","alias_value":"Y237CIZC2NRX5X5J","created_at":"2026-07-05T07:15:38Z"},{"alias_kind":"pith_short_8","alias_value":"Y237CIZC","created_at":"2026-07-05T07:15:38Z"}],"graph_snapshots":[{"event_id":"sha256:651851cb3d8388f19606651608231dbc6a11f47945d9064cb02b22f16042bfe0","target":"graph","created_at":"2026-07-05T07:15:38Z","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/2311.13445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities for coding tasks including writing and reasoning about code. They improve upon previous neural network models of code, such as code2seq or seq2seq, that already demonstrated competitive results when performing tasks such as code summarization and identifying code vulnerabilities. However, these previous code models were shown vulnerable to adversarial examples, i.e. small syntactic perturbations that do not change the program's semantics, such as the inclusion of \"dead code\" through false conditions","authors_text":"Chi Zhang, Corina Pasareanu, Limin Jia, Matt Fredrikson, Ravi Mangal, Zifan Wang","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-22T15:11:35Z","title":"Transfer Attacks and Defenses for Large Language Models on Coding Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13445","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":"sha256:2e4fd830b22322e61b6a2b5a69d4aecaa60b751e642627ba66aaa77fc352ae7a","target":"record","created_at":"2026-07-05T07:15:38Z","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":"fdce37f244d52866df64a0498f6c4b615eb1e602083f6994f6700c8448d881a7","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-11-22T15:11:35Z","title_canon_sha256":"9529cc6b7f5f82e186a5517eb911607be5a443aeaf3e3e1c3e234d2a78aa7903"},"schema_version":"1.0","source":{"id":"2311.13445","kind":"arxiv","version":1}},"canonical_sha256":"c6b7f12322d3637edfa933de9f3c27496f0f20e104abe1d224cf68c02dd55e3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6b7f12322d3637edfa933de9f3c27496f0f20e104abe1d224cf68c02dd55e3e","first_computed_at":"2026-07-05T07:15:38.299452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:15:38.299452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7wsDpolT68yGDOwdf9PV2x/JGSB1mFIMU3aQdVqes8QNzqMtjXDTbStPC3Tg2Oo/TrSEorfZ/D+jLq0ScUCTDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:15:38.299955Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.13445","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e4fd830b22322e61b6a2b5a69d4aecaa60b751e642627ba66aaa77fc352ae7a","sha256:651851cb3d8388f19606651608231dbc6a11f47945d9064cb02b22f16042bfe0"],"state_sha256":"d82ab4f5a4793429973d95722055b492565fe2602bcf5350cf74ef9aa076bfd0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"23myBcEfKp+UAXgeQJvCJdRDxXl+za2WBkS0zHXKUjVR1EtTWoEZFITXs7cClWFnttdMtvS6s2fDpZdNmzEGDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:34:10.306911Z","bundle_sha256":"3df30be0b4f13d22a7c24f7d0f81abfcc4a02fd4e92467e6c9f7e8642a5dc96c"}}