{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AMB7LLMNIQWJQIUHLH7ZZ4DRTI","short_pith_number":"pith:AMB7LLMN","canonical_record":{"source":{"id":"2501.12560","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-22T00:55:09Z","cross_cats_sorted":[],"title_canon_sha256":"99a0351c1c22f8032b5caf6dc347927f2ec6ee6fc11075c3f115d9eb307315ce","abstract_canon_sha256":"31099299a8aaddd8fdc353035d31a74b73e81a3383679c7762dbb204b9ad747c"},"schema_version":"1.0"},"canonical_sha256":"0303f5ad8d442c98228759ff9cf0719a3f81f3caece8a98e01263e990df82d26","source":{"kind":"arxiv","id":"2501.12560","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12560","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12560v1","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12560","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"AMB7LLMNIQWJ","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"AMB7LLMNIQWJQIUH","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"AMB7LLMN","created_at":"2026-07-05T10:03:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AMB7LLMNIQWJQIUHLH7ZZ4DRTI","target":"record","payload":{"canonical_record":{"source":{"id":"2501.12560","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-22T00:55:09Z","cross_cats_sorted":[],"title_canon_sha256":"99a0351c1c22f8032b5caf6dc347927f2ec6ee6fc11075c3f115d9eb307315ce","abstract_canon_sha256":"31099299a8aaddd8fdc353035d31a74b73e81a3383679c7762dbb204b9ad747c"},"schema_version":"1.0"},"canonical_sha256":"0303f5ad8d442c98228759ff9cf0719a3f81f3caece8a98e01263e990df82d26","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:55.021687Z","signature_b64":"AJ6dcEQRo3mHHdg3EXeXaDlOduaeo209iTKv6EeJvbnbmq709UtdgBjT3aencfR4tyhiVloJ48Uk1J7iNYKABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0303f5ad8d442c98228759ff9cf0719a3f81f3caece8a98e01263e990df82d26","last_reissued_at":"2026-07-05T10:03:55.021292Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:55.021292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.12560","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":"2026-07-05T10:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1r/1H05WDWu6qXPRUA6UtgQGupyDXMJsVvJ8ww4oQyZb/YgsWkMUiUn/4RsGL81ObQBRn+dXMy8hGmI8ACl6Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:18:31.774488Z"},"content_sha256":"8eb6edd5d12c3ea8b2751fa83a8ed62a19c29e8890e75b950f0e9f97447b8e76","schema_version":"1.0","event_id":"sha256:8eb6edd5d12c3ea8b2751fa83a8ed62a19c29e8890e75b950f0e9f97447b8e76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AMB7LLMNIQWJQIUHLH7ZZ4DRTI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Mehil B Shah, Mohammad Masudur Rahman, Parvez Mahbub, Sigma Jahan","submitted_at":"2025-01-22T00:55:09Z","abstract_excerpt":"Deep Neural Networks (DNN) have found numerous applications in various domains, including fraud detection, medical diagnosis, facial recognition, and autonomous driving. However, DNN-based systems often suffer from reliability issues due to their inherent complexity and the stochastic nature of their underlying models. Unfortunately, existing techniques to detect faults in DNN programs are either limited by the types of faults (e.g., hyperparameter or layer) they support or the kind of information (e.g., dynamic or static) they use. As a result, they might fall short of comprehensively detecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12560","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/2501.12560/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":"2026-07-05T10:03:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i4ni/0cP7Hsme8qedvQ1IripyuUkIouttp3dhp2tBqrxHQs044K2Xi7uLkduOH9jeXHxLSMztfAzf4RD6v+ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:18:31.775478Z"},"content_sha256":"33a5d4d19b82173b20b35b13425b9ba0cdbe7f7c1e0949e1750d788916649b18","schema_version":"1.0","event_id":"sha256:33a5d4d19b82173b20b35b13425b9ba0cdbe7f7c1e0949e1750d788916649b18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/bundle.json","state_url":"https://pith.science/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/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":"2026-08-04T09:18:31Z","links":{"resolver":"https://pith.science/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI","bundle":"https://pith.science/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/bundle.json","state":"https://pith.science/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AMB7LLMNIQWJQIUHLH7ZZ4DRTI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AMB7LLMNIQWJQIUHLH7ZZ4DRTI","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":"31099299a8aaddd8fdc353035d31a74b73e81a3383679c7762dbb204b9ad747c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-22T00:55:09Z","title_canon_sha256":"99a0351c1c22f8032b5caf6dc347927f2ec6ee6fc11075c3f115d9eb307315ce"},"schema_version":"1.0","source":{"id":"2501.12560","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12560","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12560v1","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12560","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_12","alias_value":"AMB7LLMNIQWJ","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_16","alias_value":"AMB7LLMNIQWJQIUH","created_at":"2026-07-05T10:03:55Z"},{"alias_kind":"pith_short_8","alias_value":"AMB7LLMN","created_at":"2026-07-05T10:03:55Z"}],"graph_snapshots":[{"event_id":"sha256:33a5d4d19b82173b20b35b13425b9ba0cdbe7f7c1e0949e1750d788916649b18","target":"graph","created_at":"2026-07-05T10:03:55Z","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/2501.12560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Networks (DNN) have found numerous applications in various domains, including fraud detection, medical diagnosis, facial recognition, and autonomous driving. However, DNN-based systems often suffer from reliability issues due to their inherent complexity and the stochastic nature of their underlying models. Unfortunately, existing techniques to detect faults in DNN programs are either limited by the types of faults (e.g., hyperparameter or layer) they support or the kind of information (e.g., dynamic or static) they use. As a result, they might fall short of comprehensively detecti","authors_text":"Mehil B Shah, Mohammad Masudur Rahman, Parvez Mahbub, Sigma Jahan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-22T00:55:09Z","title":"Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12560","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":"sha256:8eb6edd5d12c3ea8b2751fa83a8ed62a19c29e8890e75b950f0e9f97447b8e76","target":"record","created_at":"2026-07-05T10:03:55Z","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":"31099299a8aaddd8fdc353035d31a74b73e81a3383679c7762dbb204b9ad747c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-01-22T00:55:09Z","title_canon_sha256":"99a0351c1c22f8032b5caf6dc347927f2ec6ee6fc11075c3f115d9eb307315ce"},"schema_version":"1.0","source":{"id":"2501.12560","kind":"arxiv","version":1}},"canonical_sha256":"0303f5ad8d442c98228759ff9cf0719a3f81f3caece8a98e01263e990df82d26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0303f5ad8d442c98228759ff9cf0719a3f81f3caece8a98e01263e990df82d26","first_computed_at":"2026-07-05T10:03:55.021292Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:55.021292Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AJ6dcEQRo3mHHdg3EXeXaDlOduaeo209iTKv6EeJvbnbmq709UtdgBjT3aencfR4tyhiVloJ48Uk1J7iNYKABw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:55.021687Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12560","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8eb6edd5d12c3ea8b2751fa83a8ed62a19c29e8890e75b950f0e9f97447b8e76","sha256:33a5d4d19b82173b20b35b13425b9ba0cdbe7f7c1e0949e1750d788916649b18"],"state_sha256":"587f7a6a27aa403e48165b50c36ced0bd802f996c36335ee123dc2dfd36b47db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8179hcYlYwXEx7Jfui97vxoGhB8WSVOftoR8+bKSEXvv05k9tfrx24jx0VPh9PG5Tfkxq5Kk6DnytwHsTMmhDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:18:31.782067Z","bundle_sha256":"5734c056dae2bc0d0035233a863f0854f9709dbab9565e6c62d8a55b8af22e4e"}}