{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6FKW3ROLZ4WOSD2TIXD4V5BSXW","short_pith_number":"pith:6FKW3ROL","canonical_record":{"source":{"id":"1810.04538","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-10-10T14:04:08Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"680a2404bd55265301aa8b5246d8dd489bb8a942e86dc8a3ee74999fff8615d8","abstract_canon_sha256":"a9515f19ba434c049729cbbd58eee672597cbb551177e50b93d51fdee25ca13e"},"schema_version":"1.0"},"canonical_sha256":"f1556dc5cbcf2ce90f5345c7caf432bdb44de5500b107537d6c8bb60a2c72464","source":{"kind":"arxiv","id":"1810.04538","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04538","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04538v1","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04538","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"6FKW3ROLZ4WO","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6FKW3ROLZ4WOSD2T","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6FKW3ROL","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6FKW3ROLZ4WOSD2TIXD4V5BSXW","target":"record","payload":{"canonical_record":{"source":{"id":"1810.04538","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-10-10T14:04:08Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"680a2404bd55265301aa8b5246d8dd489bb8a942e86dc8a3ee74999fff8615d8","abstract_canon_sha256":"a9515f19ba434c049729cbbd58eee672597cbb551177e50b93d51fdee25ca13e"},"schema_version":"1.0"},"canonical_sha256":"f1556dc5cbcf2ce90f5345c7caf432bdb44de5500b107537d6c8bb60a2c72464","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:39.799840Z","signature_b64":"52AiHsqzQ4rVYPCppTjyJYeuN+64NrEGa289WNEW/PQAcKeuW6u/vcyUnwx2NNdcrPOL11RNRI3vMKayR5ohAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1556dc5cbcf2ce90f5345c7caf432bdb44de5500b107537d6c8bb60a2c72464","last_reissued_at":"2026-05-18T00:03:39.799173Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:39.799173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.04538","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":"2026-05-18T00:03:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CyoNCMmwuf50GKauJJ5CxKifkI/5/rEI0mwJ2qOFpV88OvVdvGbrNa1nOoMztBVnpl7aV5bs/qxfyXJ6dJ+vCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:45:37.359130Z"},"content_sha256":"3771f45ed977e86f5cb1a102773c4a6f19ccf43fb128a7d75522a34cfa74b0c2","schema_version":"1.0","event_id":"sha256:3771f45ed977e86f5cb1a102773c4a6f19ccf43fb128a7d75522a34cfa74b0c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6FKW3ROLZ4WOSD2TIXD4V5BSXW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Secure Deep Learning Engineering: A Software Quality Assurance Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.LG"],"primary_cat":"cs.SE","authors_text":"Bo Li, Felix Juefei-Xu, Jianjun Zhao, Jianxiong Yin, Lei Ma, Minhui Xue, Qiang Hu, Sen Chen, Simon See, Yang Liu","submitted_at":"2018-10-10T14:04:08Z","abstract_excerpt":"Over the past decades, deep learning (DL) systems have achieved tremendous success and gained great popularity in various applications, such as intelligent machines, image processing, speech processing, and medical diagnostics. Deep neural networks are the key driving force behind its recent success, but still seem to be a magic black box lacking interpretability and understanding. This brings up many open safety and security issues with enormous and urgent demands on rigorous methodologies and engineering practice for quality enhancement. A plethora of studies have shown that the state-of-the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04538","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":""},"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":"2026-05-18T00:03:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOmezAUyNP0iAqskUaP8N9PZGjRfuxENqO0QTOYz5grNSf5L08IgoiKmsI2VmF7fJKRiv8wCBvAffpP7ddqnDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:45:37.359514Z"},"content_sha256":"61f0658139754646c0c7cdd160c736a4078b52150a1bfdc07bf8dde8e837790c","schema_version":"1.0","event_id":"sha256:61f0658139754646c0c7cdd160c736a4078b52150a1bfdc07bf8dde8e837790c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/bundle.json","state_url":"https://pith.science/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/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":"2026-05-30T13:45:37Z","links":{"resolver":"https://pith.science/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW","bundle":"https://pith.science/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/bundle.json","state":"https://pith.science/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6FKW3ROLZ4WOSD2TIXD4V5BSXW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6FKW3ROLZ4WOSD2TIXD4V5BSXW","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":"a9515f19ba434c049729cbbd58eee672597cbb551177e50b93d51fdee25ca13e","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-10-10T14:04:08Z","title_canon_sha256":"680a2404bd55265301aa8b5246d8dd489bb8a942e86dc8a3ee74999fff8615d8"},"schema_version":"1.0","source":{"id":"1810.04538","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04538","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04538v1","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04538","created_at":"2026-05-18T00:03:39Z"},{"alias_kind":"pith_short_12","alias_value":"6FKW3ROLZ4WO","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"6FKW3ROLZ4WOSD2T","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"6FKW3ROL","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:61f0658139754646c0c7cdd160c736a4078b52150a1bfdc07bf8dde8e837790c","target":"graph","created_at":"2026-05-18T00:03:39Z","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":"Over the past decades, deep learning (DL) systems have achieved tremendous success and gained great popularity in various applications, such as intelligent machines, image processing, speech processing, and medical diagnostics. Deep neural networks are the key driving force behind its recent success, but still seem to be a magic black box lacking interpretability and understanding. This brings up many open safety and security issues with enormous and urgent demands on rigorous methodologies and engineering practice for quality enhancement. A plethora of studies have shown that the state-of-the","authors_text":"Bo Li, Felix Juefei-Xu, Jianjun Zhao, Jianxiong Yin, Lei Ma, Minhui Xue, Qiang Hu, Sen Chen, Simon See, Yang Liu","cross_cats":["cs.AI","cs.CR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-10-10T14:04:08Z","title":"Secure Deep Learning Engineering: A Software Quality Assurance Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04538","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":"sha256:3771f45ed977e86f5cb1a102773c4a6f19ccf43fb128a7d75522a34cfa74b0c2","target":"record","created_at":"2026-05-18T00:03:39Z","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":"a9515f19ba434c049729cbbd58eee672597cbb551177e50b93d51fdee25ca13e","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2018-10-10T14:04:08Z","title_canon_sha256":"680a2404bd55265301aa8b5246d8dd489bb8a942e86dc8a3ee74999fff8615d8"},"schema_version":"1.0","source":{"id":"1810.04538","kind":"arxiv","version":1}},"canonical_sha256":"f1556dc5cbcf2ce90f5345c7caf432bdb44de5500b107537d6c8bb60a2c72464","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1556dc5cbcf2ce90f5345c7caf432bdb44de5500b107537d6c8bb60a2c72464","first_computed_at":"2026-05-18T00:03:39.799173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:39.799173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"52AiHsqzQ4rVYPCppTjyJYeuN+64NrEGa289WNEW/PQAcKeuW6u/vcyUnwx2NNdcrPOL11RNRI3vMKayR5ohAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:39.799840Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.04538","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3771f45ed977e86f5cb1a102773c4a6f19ccf43fb128a7d75522a34cfa74b0c2","sha256:61f0658139754646c0c7cdd160c736a4078b52150a1bfdc07bf8dde8e837790c"],"state_sha256":"e1d52f790716721a2081498359e14edb322659a061380f07e163808859bdd795"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z4Jhk555Exg87o5sFm1SrXa2+R475dDsDdIM3EeE2bIv4V5DamA6SltJctX6yzJWhI+c8HO/Qu1B0XEPf5slCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:45:37.361620Z","bundle_sha256":"4ab6c5e12aa95d3f2859d4bd4e243c8a28ff4b3d16e9740dfba5c0121f45e8f3"}}