{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DGETVAPNRWGVUFMTVYR2JAMHTI","short_pith_number":"pith:DGETVAPN","canonical_record":{"source":{"id":"1812.01197","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-12-04T03:22:54Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"e54f8a1572204ab07839bf1b261dc0e2a0d46173ddc520d4cc108a134bc64d1f","abstract_canon_sha256":"6c33994c701527fe34c1773c93a84ed5d355864f263c12dd05bc9cfc39aab05f"},"schema_version":"1.0"},"canonical_sha256":"19893a81ed8d8d5a1593ae23a481879a089931925c5c5d16865d0f45c4676a82","source":{"kind":"arxiv","id":"1812.01197","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01197","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01197v3","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01197","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"DGETVAPNRWGV","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGETVAPNRWGVUFMT","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGETVAPN","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DGETVAPNRWGVUFMTVYR2JAMHTI","target":"record","payload":{"canonical_record":{"source":{"id":"1812.01197","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-12-04T03:22:54Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"e54f8a1572204ab07839bf1b261dc0e2a0d46173ddc520d4cc108a134bc64d1f","abstract_canon_sha256":"6c33994c701527fe34c1773c93a84ed5d355864f263c12dd05bc9cfc39aab05f"},"schema_version":"1.0"},"canonical_sha256":"19893a81ed8d8d5a1593ae23a481879a089931925c5c5d16865d0f45c4676a82","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:42.388709Z","signature_b64":"+ZuZqwT+mmj/7/nN3n919tSOtuth3jQpP34yHQTPzCdTFMDs4+YS7mWB9LdMXbEqXYiIwWEmP7Kwvkhw7miMAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19893a81ed8d8d5a1593ae23a481879a089931925c5c5d16865d0f45c4676a82","last_reissued_at":"2026-05-17T23:55:42.388225Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:42.388225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.01197","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":"2026-05-17T23:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GYGpPyAT7p+ELFBXBhRlSdps3JznuSKjM/Mb7MnMVAEgmZqIx66oA0D5RDIJ/6Z1u0Kw75R87e+y/jcT/8T7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:04:08.741426Z"},"content_sha256":"272944e5425a6fc1d5e282a71ee744aa75708033f4eff69c2288a8bd4dc7e881","schema_version":"1.0","event_id":"sha256:272944e5425a6fc1d5e282a71ee744aa75708033f4eff69c2288a8bd4dc7e881"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DGETVAPNRWGVUFMTVYR2JAMHTI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Superion: Grammar-Aware Greybox Fuzzing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.CR","authors_text":"Bihuan Chen, Junjie Wang, Lei Wei, Yang Liu","submitted_at":"2018-12-04T03:22:54Z","abstract_excerpt":"In recent years, coverage-based greybox fuzzing has proven itself to be one of the most effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop (AFL for short) is deemed to be a great success in fuzzing relatively simple test inputs. Unfortunately, when it meets structured test inputs such as XML and JavaScript, those grammar-blind trimming and mutation strategies in AFL hinder the effectiveness and efficiency.\n  To this end, we propose a grammar-aware coverage-based greybox fuzzing approach to fuzz programs that process structured inputs. Given the grammar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01197","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":""},"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":"2026-05-17T23:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PV4hbXpSBjCHOcv87LTZ5YFogY3+SiYJ79j0wEQUidokEDd87q4GkX7LvpbROF+bRdWCehP7ZpbgOUe2p0n+Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:04:08.742057Z"},"content_sha256":"80427543d941c21789fcb2e36e37491b6cd63c385e951be25ad4c074f222b993","schema_version":"1.0","event_id":"sha256:80427543d941c21789fcb2e36e37491b6cd63c385e951be25ad4c074f222b993"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/bundle.json","state_url":"https://pith.science/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/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":"2026-06-09T06:04:08Z","links":{"resolver":"https://pith.science/pith/DGETVAPNRWGVUFMTVYR2JAMHTI","bundle":"https://pith.science/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/bundle.json","state":"https://pith.science/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DGETVAPNRWGVUFMTVYR2JAMHTI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DGETVAPNRWGVUFMTVYR2JAMHTI","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":"6c33994c701527fe34c1773c93a84ed5d355864f263c12dd05bc9cfc39aab05f","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-12-04T03:22:54Z","title_canon_sha256":"e54f8a1572204ab07839bf1b261dc0e2a0d46173ddc520d4cc108a134bc64d1f"},"schema_version":"1.0","source":{"id":"1812.01197","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.01197","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"1812.01197v3","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01197","created_at":"2026-05-17T23:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"DGETVAPNRWGV","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGETVAPNRWGVUFMT","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGETVAPN","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:80427543d941c21789fcb2e36e37491b6cd63c385e951be25ad4c074f222b993","target":"graph","created_at":"2026-05-17T23:55:42Z","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"},"paper":{"abstract_excerpt":"In recent years, coverage-based greybox fuzzing has proven itself to be one of the most effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop (AFL for short) is deemed to be a great success in fuzzing relatively simple test inputs. Unfortunately, when it meets structured test inputs such as XML and JavaScript, those grammar-blind trimming and mutation strategies in AFL hinder the effectiveness and efficiency.\n  To this end, we propose a grammar-aware coverage-based greybox fuzzing approach to fuzz programs that process structured inputs. Given the grammar","authors_text":"Bihuan Chen, Junjie Wang, Lei Wei, Yang Liu","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-12-04T03:22:54Z","title":"Superion: Grammar-Aware Greybox Fuzzing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01197","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":"sha256:272944e5425a6fc1d5e282a71ee744aa75708033f4eff69c2288a8bd4dc7e881","target":"record","created_at":"2026-05-17T23:55:42Z","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":"6c33994c701527fe34c1773c93a84ed5d355864f263c12dd05bc9cfc39aab05f","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2018-12-04T03:22:54Z","title_canon_sha256":"e54f8a1572204ab07839bf1b261dc0e2a0d46173ddc520d4cc108a134bc64d1f"},"schema_version":"1.0","source":{"id":"1812.01197","kind":"arxiv","version":3}},"canonical_sha256":"19893a81ed8d8d5a1593ae23a481879a089931925c5c5d16865d0f45c4676a82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19893a81ed8d8d5a1593ae23a481879a089931925c5c5d16865d0f45c4676a82","first_computed_at":"2026-05-17T23:55:42.388225Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:42.388225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+ZuZqwT+mmj/7/nN3n919tSOtuth3jQpP34yHQTPzCdTFMDs4+YS7mWB9LdMXbEqXYiIwWEmP7Kwvkhw7miMAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:42.388709Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.01197","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:272944e5425a6fc1d5e282a71ee744aa75708033f4eff69c2288a8bd4dc7e881","sha256:80427543d941c21789fcb2e36e37491b6cd63c385e951be25ad4c074f222b993"],"state_sha256":"34d7aab350e7a7ad26e631ef94de3044dcc7e2de11ad74783ce99fef50290cec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMwLtntkTZxKMi5c67tw3M+E3nUPeJqYHfW/mzwuwQ4Pdu3oeieQhfHxKLNWWOOuHJceddv+iELwlOs3ky0XDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:04:08.745948Z","bundle_sha256":"8d78fd8480ac5be47ef5cabab6d0c7fc017d9de0370b313f5e42996b809b6bcd"}}