{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FZVJ7IVZ7CL3FBNIXYNOMDIMKF","short_pith_number":"pith:FZVJ7IVZ","canonical_record":{"source":{"id":"2404.09836","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-04-15T14:44:08Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"0258ff30e319abc3d835d1a265a488eca913cb2f89955ca1ef34a35d023dfe15","abstract_canon_sha256":"0441bab121f057965db536cb2b1342a95fb07e6588ea1e958f75b71c05334ced"},"schema_version":"1.0"},"canonical_sha256":"2e6a9fa2b9f897b285a8be1ae60d0c51585c7695d19ef4d009c81300f6f261b0","source":{"kind":"arxiv","id":"2404.09836","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.09836","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"arxiv_version","alias_value":"2404.09836v3","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.09836","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_12","alias_value":"FZVJ7IVZ7CL3","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_16","alias_value":"FZVJ7IVZ7CL3FBNI","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_8","alias_value":"FZVJ7IVZ","created_at":"2026-07-05T09:24:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FZVJ7IVZ7CL3FBNIXYNOMDIMKF","target":"record","payload":{"canonical_record":{"source":{"id":"2404.09836","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-04-15T14:44:08Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"0258ff30e319abc3d835d1a265a488eca913cb2f89955ca1ef34a35d023dfe15","abstract_canon_sha256":"0441bab121f057965db536cb2b1342a95fb07e6588ea1e958f75b71c05334ced"},"schema_version":"1.0"},"canonical_sha256":"2e6a9fa2b9f897b285a8be1ae60d0c51585c7695d19ef4d009c81300f6f261b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:57.505193Z","signature_b64":"jWiLHXdIXUxqfwjL83e8bjODgl3x3D78pfMQZVkhbJiIZ/yyMwUia2C8LJ9tOztlPYxYu1yUwcS6Ft6uamkxCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e6a9fa2b9f897b285a8be1ae60d0c51585c7695d19ef4d009c81300f6f261b0","last_reissued_at":"2026-07-05T09:24:57.504700Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:57.504700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.09836","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:24:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"futKO8HQD+dRF2//5L247ZpMKGS1RyTK7QkvEcEWk4PyxtjULdFjpLDpxdqXJfzfyvPvbXo3VGyAc2XkEER2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:20:08.250121Z"},"content_sha256":"811e7e5e7e55453b3c25b5baa788ebe770f05ecaf06bf7cb62f7fb9f6e3b9a69","schema_version":"1.0","event_id":"sha256:811e7e5e7e55453b3c25b5baa788ebe770f05ecaf06bf7cb62f7fb9f6e3b9a69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FZVJ7IVZ7CL3FBNIXYNOMDIMKF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"How Far Have We Gone in Binary Code Understanding Using Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.SE","authors_text":"Gangyang Li, Guoqiang Chen, Li Hu, Nenghai Yu, Shaoyin Cheng, Weiming Zhang, Xiao Yu, Xiuwei Shang, Yanming Zhang","submitted_at":"2024-04-15T14:44:08Z","abstract_excerpt":"Binary code analysis plays a pivotal role in various software security applications, such as software maintenance, malware detection, software vulnerability discovery, patch analysis, etc. However, unlike source code, understanding binary code is challenging for reverse engineers due to the absence of semantic information. Therefore, automated tools are needed to assist human players in interpreting binary code. In recent years, two groups of technologies have shown promising prospects: (1) Deep learning-based technologies have demonstrated competitive results in tasks related to binary code u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.09836","kind":"arxiv","version":3},"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/2404.09836/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":"2026-07-05T09:24:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K4EjJxZ1Oi6x89GCj8YAQIuvCDvGaccu/76R0qx7d0ynoKsUbldnAumtiQOxa3Flnf9jmX3hpPY/3tRathDZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T16:20:08.250522Z"},"content_sha256":"8cf853e192d3b46f4152b26f00a5b313afe3cbfe73b932044ec876450a96a558","schema_version":"1.0","event_id":"sha256:8cf853e192d3b46f4152b26f00a5b313afe3cbfe73b932044ec876450a96a558"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/bundle.json","state_url":"https://pith.science/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/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":"2026-07-08T16:20:08Z","links":{"resolver":"https://pith.science/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF","bundle":"https://pith.science/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/bundle.json","state":"https://pith.science/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FZVJ7IVZ7CL3FBNIXYNOMDIMKF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FZVJ7IVZ7CL3FBNIXYNOMDIMKF","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":"0441bab121f057965db536cb2b1342a95fb07e6588ea1e958f75b71c05334ced","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-04-15T14:44:08Z","title_canon_sha256":"0258ff30e319abc3d835d1a265a488eca913cb2f89955ca1ef34a35d023dfe15"},"schema_version":"1.0","source":{"id":"2404.09836","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.09836","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"arxiv_version","alias_value":"2404.09836v3","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.09836","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_12","alias_value":"FZVJ7IVZ7CL3","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_16","alias_value":"FZVJ7IVZ7CL3FBNI","created_at":"2026-07-05T09:24:57Z"},{"alias_kind":"pith_short_8","alias_value":"FZVJ7IVZ","created_at":"2026-07-05T09:24:57Z"}],"graph_snapshots":[{"event_id":"sha256:8cf853e192d3b46f4152b26f00a5b313afe3cbfe73b932044ec876450a96a558","target":"graph","created_at":"2026-07-05T09:24:57Z","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/2404.09836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Binary code analysis plays a pivotal role in various software security applications, such as software maintenance, malware detection, software vulnerability discovery, patch analysis, etc. However, unlike source code, understanding binary code is challenging for reverse engineers due to the absence of semantic information. Therefore, automated tools are needed to assist human players in interpreting binary code. In recent years, two groups of technologies have shown promising prospects: (1) Deep learning-based technologies have demonstrated competitive results in tasks related to binary code u","authors_text":"Gangyang Li, Guoqiang Chen, Li Hu, Nenghai Yu, Shaoyin Cheng, Weiming Zhang, Xiao Yu, Xiuwei Shang, Yanming Zhang","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-04-15T14:44:08Z","title":"How Far Have We Gone in Binary Code Understanding Using Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.09836","kind":"arxiv","version":3},"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":"sha256:811e7e5e7e55453b3c25b5baa788ebe770f05ecaf06bf7cb62f7fb9f6e3b9a69","target":"record","created_at":"2026-07-05T09:24:57Z","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":"0441bab121f057965db536cb2b1342a95fb07e6588ea1e958f75b71c05334ced","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-04-15T14:44:08Z","title_canon_sha256":"0258ff30e319abc3d835d1a265a488eca913cb2f89955ca1ef34a35d023dfe15"},"schema_version":"1.0","source":{"id":"2404.09836","kind":"arxiv","version":3}},"canonical_sha256":"2e6a9fa2b9f897b285a8be1ae60d0c51585c7695d19ef4d009c81300f6f261b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e6a9fa2b9f897b285a8be1ae60d0c51585c7695d19ef4d009c81300f6f261b0","first_computed_at":"2026-07-05T09:24:57.504700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:57.504700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jWiLHXdIXUxqfwjL83e8bjODgl3x3D78pfMQZVkhbJiIZ/yyMwUia2C8LJ9tOztlPYxYu1yUwcS6Ft6uamkxCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:57.505193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.09836","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:811e7e5e7e55453b3c25b5baa788ebe770f05ecaf06bf7cb62f7fb9f6e3b9a69","sha256:8cf853e192d3b46f4152b26f00a5b313afe3cbfe73b932044ec876450a96a558"],"state_sha256":"277427790a4cd69f46cee7baab506727e8a4867457f92b405ea4b2e169b6bdfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"prvXoN2qT9wyhjbr+DL4548TLD9LghzcDf2YAEijyjiyJ//wcmeofdw/KpHBzHCkQ4lVSNAcTGoydKsSC9IfDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T16:20:08.252569Z","bundle_sha256":"111320dca9c64da36f853eb9f811d7f83d6f00ddf2f714946049127fd0bb14d2"}}