{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PPOWORTDTXX6FB6BQIP2CPJMDE","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":"68b47e3b8db81a6d74700961b01d0c4e35372fdde8198338713b40efad7abb48","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-11T17:49:20Z","title_canon_sha256":"052709f506ad834dec43bea29a95eda2fe9cccac3fd205741eff36585c13b93d"},"schema_version":"1.0","source":{"id":"1707.03386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.03386","created_at":"2026-05-18T00:40:29Z"},{"alias_kind":"arxiv_version","alias_value":"1707.03386v1","created_at":"2026-05-18T00:40:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.03386","created_at":"2026-05-18T00:40:29Z"},{"alias_kind":"pith_short_12","alias_value":"PPOWORTDTXX6","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PPOWORTDTXX6FB6B","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PPOWORTD","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:e7d82eab9ab20c74df1907c5b6a807924675941b2ff2e4148a5204abcf6e8a7d","target":"graph","created_at":"2026-05-18T00:40:29Z","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":"In this paper we develop a novel computational sensing framework for sensing and recovering structured signals. When trained on a set of representative signals, our framework learns to take undersampled measurements and recover signals from them using a deep convolutional neural network. In other words, it learns a transformation from the original signals to a near-optimal number of undersampled measurements and the inverse transformation from measurements to signals. This is in contrast to traditional compressive sensing (CS) systems that use random linear measurements and convex optimization","authors_text":"Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-11T17:49:20Z","title":"DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.03386","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":"sha256:125ada7c4e966624930d606afbc2917e8f494604fd89b2f524c5b79b7f9c50ae","target":"record","created_at":"2026-05-18T00:40:29Z","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":"68b47e3b8db81a6d74700961b01d0c4e35372fdde8198338713b40efad7abb48","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-11T17:49:20Z","title_canon_sha256":"052709f506ad834dec43bea29a95eda2fe9cccac3fd205741eff36585c13b93d"},"schema_version":"1.0","source":{"id":"1707.03386","kind":"arxiv","version":1}},"canonical_sha256":"7bdd6746639defe287c1821fa13d2c192754ce25ae9c5f07464f0224010114de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bdd6746639defe287c1821fa13d2c192754ce25ae9c5f07464f0224010114de","first_computed_at":"2026-05-18T00:40:29.189484Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:29.189484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3B9D273giowNgcp9iUBGz2buUUjsRxLilZrbO4Gd8d+AL4R405zuJWfZS7IDt1Wa5o9S2Be61i1QJC0AZ0pzAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:29.190024Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.03386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:125ada7c4e966624930d606afbc2917e8f494604fd89b2f524c5b79b7f9c50ae","sha256:e7d82eab9ab20c74df1907c5b6a807924675941b2ff2e4148a5204abcf6e8a7d"],"state_sha256":"fa6a5b04232d981b2c41cd04771ecb392c9153047b3383a801fc65d654d3f068"}