{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KR2XU7LED3LJ7A7LPSHQQBU2B4","short_pith_number":"pith:KR2XU7LE","canonical_record":{"source":{"id":"2102.01792","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-02T22:57:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"db143367dc1f11d683f5d0e03bdc3a6026e548055c1b94c17f33ce2828a282e2","abstract_canon_sha256":"35b62dd3d3c9e8b561b3123c5f4dcccce75d9aac64b69f50b0dce7c0c6d3a240"},"schema_version":"1.0"},"canonical_sha256":"54757a7d641ed69f83eb7c8f08069a0f0aba342dd286b2456d7c99dc5b25226b","source":{"kind":"arxiv","id":"2102.01792","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01792","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01792v1","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01792","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"KR2XU7LED3LJ","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"KR2XU7LED3LJ7A7L","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"KR2XU7LE","created_at":"2026-07-05T02:12:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KR2XU7LED3LJ7A7LPSHQQBU2B4","target":"record","payload":{"canonical_record":{"source":{"id":"2102.01792","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-02T22:57:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"db143367dc1f11d683f5d0e03bdc3a6026e548055c1b94c17f33ce2828a282e2","abstract_canon_sha256":"35b62dd3d3c9e8b561b3123c5f4dcccce75d9aac64b69f50b0dce7c0c6d3a240"},"schema_version":"1.0"},"canonical_sha256":"54757a7d641ed69f83eb7c8f08069a0f0aba342dd286b2456d7c99dc5b25226b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:12:33.466005Z","signature_b64":"Ut2pJ5m2dudB7HZrBCQgcqmKZA7WhaRv34GX/HJ9A+doKoGQqRf1U8xtxXeLQnmu7D9o+/TyZoYzzgdds/I1Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54757a7d641ed69f83eb7c8f08069a0f0aba342dd286b2456d7c99dc5b25226b","last_reissued_at":"2026-07-05T02:12:33.465591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:12:33.465591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.01792","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":"2026-07-05T02:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RxY1Z4IpROgGHL3YzGlu55P4WqKhLS9CyaS1vtefGm+2JCt4RUsT/BB8qxLwRZKM+GPl53WLtGvGy1dJ/z0pBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:13:32.957576Z"},"content_sha256":"a1d75b893b4351a310bcb8e0ce7db1dd02a3509a98cabbafe783a18265ac79bf","schema_version":"1.0","event_id":"sha256:a1d75b893b4351a310bcb8e0ce7db1dd02a3509a98cabbafe783a18265ac79bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KR2XU7LED3LJ7A7LPSHQQBU2B4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Atefeh Shahroudnejad","submitted_at":"2021-02-02T22:57:22Z","abstract_excerpt":"Recent advancements in machine learning and signal processing domains have resulted in an extensive surge of interest in Deep Neural Networks (DNNs) due to their unprecedented performance and high accuracy for different and challenging problems of significant engineering importance. However, when such deep learning architectures are utilized for making critical decisions such as the ones that involve human lives (e.g., in control systems and medical applications), it is of paramount importance to understand, trust, and in one word \"explain\" the argument behind deep models' decisions. In many a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01792","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/2102.01792/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":"2026-07-05T02:12:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wLEC5qtLnaW4eE8nfSdcBSwazpyeoSHjIpaOkXujFQrs/Y0PGNzO8n4VIP0HiVaPqShX9ez7s6OkDdoEHTj5Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:13:32.958171Z"},"content_sha256":"ecc90326f44b68b32d70d11d3e581c32182d36656d5557b4b05124432afd2c69","schema_version":"1.0","event_id":"sha256:ecc90326f44b68b32d70d11d3e581c32182d36656d5557b4b05124432afd2c69"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/bundle.json","state_url":"https://pith.science/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/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":"2026-08-09T11:13:32Z","links":{"resolver":"https://pith.science/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4","bundle":"https://pith.science/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/bundle.json","state":"https://pith.science/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KR2XU7LED3LJ7A7LPSHQQBU2B4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KR2XU7LED3LJ7A7LPSHQQBU2B4","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":"35b62dd3d3c9e8b561b3123c5f4dcccce75d9aac64b69f50b0dce7c0c6d3a240","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-02T22:57:22Z","title_canon_sha256":"db143367dc1f11d683f5d0e03bdc3a6026e548055c1b94c17f33ce2828a282e2"},"schema_version":"1.0","source":{"id":"2102.01792","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01792","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01792v1","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01792","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"KR2XU7LED3LJ","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"KR2XU7LED3LJ7A7L","created_at":"2026-07-05T02:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"KR2XU7LE","created_at":"2026-07-05T02:12:33Z"}],"graph_snapshots":[{"event_id":"sha256:ecc90326f44b68b32d70d11d3e581c32182d36656d5557b4b05124432afd2c69","target":"graph","created_at":"2026-07-05T02:12:33Z","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/2102.01792/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in machine learning and signal processing domains have resulted in an extensive surge of interest in Deep Neural Networks (DNNs) due to their unprecedented performance and high accuracy for different and challenging problems of significant engineering importance. However, when such deep learning architectures are utilized for making critical decisions such as the ones that involve human lives (e.g., in control systems and medical applications), it is of paramount importance to understand, trust, and in one word \"explain\" the argument behind deep models' decisions. In many a","authors_text":"Atefeh Shahroudnejad","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-02T22:57:22Z","title":"A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01792","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:a1d75b893b4351a310bcb8e0ce7db1dd02a3509a98cabbafe783a18265ac79bf","target":"record","created_at":"2026-07-05T02:12:33Z","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":"35b62dd3d3c9e8b561b3123c5f4dcccce75d9aac64b69f50b0dce7c0c6d3a240","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-02T22:57:22Z","title_canon_sha256":"db143367dc1f11d683f5d0e03bdc3a6026e548055c1b94c17f33ce2828a282e2"},"schema_version":"1.0","source":{"id":"2102.01792","kind":"arxiv","version":1}},"canonical_sha256":"54757a7d641ed69f83eb7c8f08069a0f0aba342dd286b2456d7c99dc5b25226b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54757a7d641ed69f83eb7c8f08069a0f0aba342dd286b2456d7c99dc5b25226b","first_computed_at":"2026-07-05T02:12:33.465591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:12:33.465591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ut2pJ5m2dudB7HZrBCQgcqmKZA7WhaRv34GX/HJ9A+doKoGQqRf1U8xtxXeLQnmu7D9o+/TyZoYzzgdds/I1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:12:33.466005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.01792","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1d75b893b4351a310bcb8e0ce7db1dd02a3509a98cabbafe783a18265ac79bf","sha256:ecc90326f44b68b32d70d11d3e581c32182d36656d5557b4b05124432afd2c69"],"state_sha256":"ae6dce54bbdb94c3018a376e8f18ab7cc01c69ed2148ba604eea82834b0edc43"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gYIAhq8GjgRRbZOY3yPJ2D1+9RjEkKFKE04LJYAcqqUfpDJ0/9S/r1x2bb+qrtK9uC1pRoK5tj1ZXvh8OFVyAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:13:33.005053Z","bundle_sha256":"8bf3b8ce94f0ed7b51b938fe5bee32dae8cb19836569c534e16a5e1563cd120d"}}