{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GXFMIEXSMFZCKBBDW3H2NFEQCN","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":"2e50c374c41c99ff37c246875fa6d5adf13aa775302159373303eff59fc36ee3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-30T07:54:19Z","title_canon_sha256":"2045f0259de2e0aec170c67296fa0081abead880a81aac71e50e1cc6e435c33b"},"schema_version":"1.0","source":{"id":"1610.09615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.09615","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"arxiv_version","alias_value":"1610.09615v1","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.09615","created_at":"2026-05-18T01:00:51Z"},{"alias_kind":"pith_short_12","alias_value":"GXFMIEXSMFZC","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GXFMIEXSMFZCKBBD","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GXFMIEXS","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:9d96bd8cb7f9b05b68b69facc347ed841825a680c0b136edabc0a8815b6f954d","target":"graph","created_at":"2026-05-18T01:00:51Z","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":"Compressed Learning (CL) is a joint signal processing and machine learning framework for inference from a signal, using a small number of measurements obtained by linear projections of the signal. In this paper we present an end-to-end deep learning approach for CL, in which a network composed of fully-connected layers followed by convolutional layers perform the linear sensing and non-linear inference stages. During the training phase, the sensing matrix and the non-linear inference operator are jointly optimized, and the proposed approach outperforms state-of-the-art for the task of image cl","authors_text":"Amir Adler, Michael Elad, Michael Zibulevsky","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-30T07:54:19Z","title":"Compressed Learning: A Deep Neural Network Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.09615","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:f646e4f1dc4537384ff4836c876057e9860f10cbc53c3ba418fbfc935b926b84","target":"record","created_at":"2026-05-18T01:00:51Z","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":"2e50c374c41c99ff37c246875fa6d5adf13aa775302159373303eff59fc36ee3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-30T07:54:19Z","title_canon_sha256":"2045f0259de2e0aec170c67296fa0081abead880a81aac71e50e1cc6e435c33b"},"schema_version":"1.0","source":{"id":"1610.09615","kind":"arxiv","version":1}},"canonical_sha256":"35cac412f26172250423b6cfa694901379d759cda82342867827dcf8619baef6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35cac412f26172250423b6cfa694901379d759cda82342867827dcf8619baef6","first_computed_at":"2026-05-18T01:00:51.501167Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:00:51.501167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rNst6rCnX2ukeaqyoE/TcbAtXznZdnT0AiKrwaa8Uants2TjgjarA5aZiGCgk04hbrX8/sstPpdVAZnvqQTiDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:00:51.501625Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.09615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f646e4f1dc4537384ff4836c876057e9860f10cbc53c3ba418fbfc935b926b84","sha256:9d96bd8cb7f9b05b68b69facc347ed841825a680c0b136edabc0a8815b6f954d"],"state_sha256":"f83291e3c14b1bce49e17897621e0254d2cece89b98d720b355b747707e3b03c"}