{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GOYXLI55MKZZDFWL4BXAVQY4BG","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":"cc69b7b977c289b931fe332614dc53df9be71f85bf41d1d4cc0ba842548e06f3","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-12T19:38:47Z","title_canon_sha256":"47d7bdf8f3edc653ebd1df0c41d54d8aed98946fe34dbc2582f66aae358b2189"},"schema_version":"1.0","source":{"id":"2003.05991","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.05991","created_at":"2026-07-05T02:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2003.05991v2","created_at":"2026-07-05T02:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.05991","created_at":"2026-07-05T02:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"GOYXLI55MKZZ","created_at":"2026-07-05T02:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"GOYXLI55MKZZDFWL","created_at":"2026-07-05T02:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"GOYXLI55","created_at":"2026-07-05T02:28:48Z"}],"graph_snapshots":[{"event_id":"sha256:7430a16032b150498091c3a2f035e4c630540ff756edb2699ae557175c7ef13e","target":"graph","created_at":"2026-07-05T02:28:48Z","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/2003.05991/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An autoencoder is a specific type of a neural network, which is mainly designed to encode the input into a compressed and meaningful representation, and then decode it back such that the reconstructed input is similar as possible to the original one. This chapter surveys the different types of autoencoders that are mainly used today. It also describes various applications and use-cases of autoencoders.","authors_text":"Dor Bank, Noam Koenigstein, Raja Giryes","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-12T19:38:47Z","title":"Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.05991","kind":"arxiv","version":2},"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":"sha256:7c9d32b2a27ba760a6054067be3a1641ccc97ad16fc4056c5a3f63f5c2944da7","target":"record","created_at":"2026-07-05T02:28:48Z","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":"cc69b7b977c289b931fe332614dc53df9be71f85bf41d1d4cc0ba842548e06f3","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-03-12T19:38:47Z","title_canon_sha256":"47d7bdf8f3edc653ebd1df0c41d54d8aed98946fe34dbc2582f66aae358b2189"},"schema_version":"1.0","source":{"id":"2003.05991","kind":"arxiv","version":2}},"canonical_sha256":"33b175a3bd62b39196cbe06e0ac31c09af51ce21c9d70013dfb9af85abeccdab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33b175a3bd62b39196cbe06e0ac31c09af51ce21c9d70013dfb9af85abeccdab","first_computed_at":"2026-07-05T02:28:48.697462Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:28:48.697462Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QkmwAD6YNfZ/A8atgFiU/lGG3IHuldiv284UUkHaw4ytZTuTakSqg1JQWxta0v/Tu1mXGtoB18/9RFi1wvESAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:28:48.698017Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.05991","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c9d32b2a27ba760a6054067be3a1641ccc97ad16fc4056c5a3f63f5c2944da7","sha256:7430a16032b150498091c3a2f035e4c630540ff756edb2699ae557175c7ef13e"],"state_sha256":"18662d3411e742d20a681f8b1fc83bb43c6c34114a03e5a34a4b7239b6eaa9da"}