{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:66ZCDLYZUHD4R2SOFA46K25P5A","short_pith_number":"pith:66ZCDLYZ","canonical_record":{"source":{"id":"2012.15391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-31T01:37:56Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"6f07971902c9946dc8865b065f6385e584d70e11762ffcd2526245e0a38c2fe4","abstract_canon_sha256":"1a6b534015964dfbd61573fa530b9e4fee4d289347434ceac6e6e4ce761939d1"},"schema_version":"1.0"},"canonical_sha256":"f7b221af19a1c7c8ea4e2839e56bafe835fba34280963c73d8e90f758de0f524","source":{"kind":"arxiv","id":"2012.15391","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.15391","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"arxiv_version","alias_value":"2012.15391v1","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.15391","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_12","alias_value":"66ZCDLYZUHD4","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_16","alias_value":"66ZCDLYZUHD4R2SO","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_8","alias_value":"66ZCDLYZ","created_at":"2026-07-05T02:03:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:66ZCDLYZUHD4R2SOFA46K25P5A","target":"record","payload":{"canonical_record":{"source":{"id":"2012.15391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-31T01:37:56Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"6f07971902c9946dc8865b065f6385e584d70e11762ffcd2526245e0a38c2fe4","abstract_canon_sha256":"1a6b534015964dfbd61573fa530b9e4fee4d289347434ceac6e6e4ce761939d1"},"schema_version":"1.0"},"canonical_sha256":"f7b221af19a1c7c8ea4e2839e56bafe835fba34280963c73d8e90f758de0f524","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:03:18.014218Z","signature_b64":"XZtTsuIoEADndDHjIsKCNwry4eD6xulkyYiTQImd3GuLVYjQkLy+qONA6FuTypn+Acm3xaHu7Dp23/WpMhBWDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7b221af19a1c7c8ea4e2839e56bafe835fba34280963c73d8e90f758de0f524","last_reissued_at":"2026-07-05T02:03:18.013874Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:03:18.013874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.15391","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":"2026-07-05T02:03:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xYE8nNXruhTcYAGkYD91XYF1dd7xgZWZwUEAxJ6GEqrjPkXJiuJ15PVJ40WTF87YaOdccy5ex1H3D08YM6BRCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:15:54.573007Z"},"content_sha256":"bd01245c46437e343401e89130c794b5d824ea64b88115d7db7a7d68de90b250","schema_version":"1.0","event_id":"sha256:bd01245c46437e343401e89130c794b5d824ea64b88115d7db7a7d68de90b250"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:66ZCDLYZUHD4R2SOFA46K25P5A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.LG","authors_text":"Jiamin Cui, Mingwei Zhang, Shen Chen, Wei Yao","submitted_at":"2020-12-31T01:37:56Z","abstract_excerpt":"Deep learning (DL) has brought about remarkable breakthrough in processing images, video and speech due to its efficacy in extracting highly abstract representation and learning very complex functions. However, there is seldom operating procedure reported on how to make it for real use cases. In this paper, we intend to address this problem by presenting a generalized operating procedure for DL from the perspective of unconstrained optimal design, which is motivated by a simple intension to remove the barrier of using DL, especially for those scientists or engineers who are new but eager to us"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.15391","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/2012.15391/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":"2026-07-05T02:03:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wxSQH5BFaixYEGmV7XL2RXcX7Lj5gieS5gbpj322DygvUe3lSYFLp/sS5vDEhUVcfb2fHsJ3yVs24xaRWiUxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:15:54.573538Z"},"content_sha256":"e6b976c9d8ce669a1d8abe8ba7f9354f0019a8c1f63b469cd0900af1f197b517","schema_version":"1.0","event_id":"sha256:e6b976c9d8ce669a1d8abe8ba7f9354f0019a8c1f63b469cd0900af1f197b517"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66ZCDLYZUHD4R2SOFA46K25P5A/bundle.json","state_url":"https://pith.science/pith/66ZCDLYZUHD4R2SOFA46K25P5A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66ZCDLYZUHD4R2SOFA46K25P5A/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":"2026-08-05T21:15:54Z","links":{"resolver":"https://pith.science/pith/66ZCDLYZUHD4R2SOFA46K25P5A","bundle":"https://pith.science/pith/66ZCDLYZUHD4R2SOFA46K25P5A/bundle.json","state":"https://pith.science/pith/66ZCDLYZUHD4R2SOFA46K25P5A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66ZCDLYZUHD4R2SOFA46K25P5A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:66ZCDLYZUHD4R2SOFA46K25P5A","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":"1a6b534015964dfbd61573fa530b9e4fee4d289347434ceac6e6e4ce761939d1","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-31T01:37:56Z","title_canon_sha256":"6f07971902c9946dc8865b065f6385e584d70e11762ffcd2526245e0a38c2fe4"},"schema_version":"1.0","source":{"id":"2012.15391","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.15391","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"arxiv_version","alias_value":"2012.15391v1","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.15391","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_12","alias_value":"66ZCDLYZUHD4","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_16","alias_value":"66ZCDLYZUHD4R2SO","created_at":"2026-07-05T02:03:18Z"},{"alias_kind":"pith_short_8","alias_value":"66ZCDLYZ","created_at":"2026-07-05T02:03:18Z"}],"graph_snapshots":[{"event_id":"sha256:e6b976c9d8ce669a1d8abe8ba7f9354f0019a8c1f63b469cd0900af1f197b517","target":"graph","created_at":"2026-07-05T02:03:18Z","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/2012.15391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning (DL) has brought about remarkable breakthrough in processing images, video and speech due to its efficacy in extracting highly abstract representation and learning very complex functions. However, there is seldom operating procedure reported on how to make it for real use cases. In this paper, we intend to address this problem by presenting a generalized operating procedure for DL from the perspective of unconstrained optimal design, which is motivated by a simple intension to remove the barrier of using DL, especially for those scientists or engineers who are new but eager to us","authors_text":"Jiamin Cui, Mingwei Zhang, Shen Chen, Wei Yao","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-31T01:37:56Z","title":"Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.15391","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:bd01245c46437e343401e89130c794b5d824ea64b88115d7db7a7d68de90b250","target":"record","created_at":"2026-07-05T02:03:18Z","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":"1a6b534015964dfbd61573fa530b9e4fee4d289347434ceac6e6e4ce761939d1","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-31T01:37:56Z","title_canon_sha256":"6f07971902c9946dc8865b065f6385e584d70e11762ffcd2526245e0a38c2fe4"},"schema_version":"1.0","source":{"id":"2012.15391","kind":"arxiv","version":1}},"canonical_sha256":"f7b221af19a1c7c8ea4e2839e56bafe835fba34280963c73d8e90f758de0f524","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7b221af19a1c7c8ea4e2839e56bafe835fba34280963c73d8e90f758de0f524","first_computed_at":"2026-07-05T02:03:18.013874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:03:18.013874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XZtTsuIoEADndDHjIsKCNwry4eD6xulkyYiTQImd3GuLVYjQkLy+qONA6FuTypn+Acm3xaHu7Dp23/WpMhBWDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:03:18.014218Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.15391","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd01245c46437e343401e89130c794b5d824ea64b88115d7db7a7d68de90b250","sha256:e6b976c9d8ce669a1d8abe8ba7f9354f0019a8c1f63b469cd0900af1f197b517"],"state_sha256":"5b70ba952476ba323b42ea02e629ffc0a987a85ed262ed7f9a8327a08746d5ea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yCFqDToas3bsMw6J5s2qYLwX+J+yl5cqFJeoX+rS2dApcuQ0URSojyaiHBQxEPEd2zHHFUSvLd5pv0y4TXdaCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:15:54.579358Z","bundle_sha256":"782fea21a62748dcce5d0df24b885d4309866743ccd85ee4d4a22ed61f18397e"}}