{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JTHNMMO7Q4K7LAHO5TBQHIM525","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":"3bdefb448f41b26e23058ecfe3734fc061cb3c42d3091ff072c3e82498820b48","cross_cats_sorted":["cs.LG","eess.SP","physics.comp-ph","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T22:41:33Z","title_canon_sha256":"72e8b1c2558e5fd45d72719decfd30c6249756bf1ab9ce695871aa2b1cec354a"},"schema_version":"1.0","source":{"id":"1909.04188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04188","created_at":"2026-07-05T01:28:40Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04188v1","created_at":"2026-07-05T01:28:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04188","created_at":"2026-07-05T01:28:40Z"},{"alias_kind":"pith_short_12","alias_value":"JTHNMMO7Q4K7","created_at":"2026-07-05T01:28:40Z"},{"alias_kind":"pith_short_16","alias_value":"JTHNMMO7Q4K7LAHO","created_at":"2026-07-05T01:28:40Z"},{"alias_kind":"pith_short_8","alias_value":"JTHNMMO7","created_at":"2026-07-05T01:28:40Z"}],"graph_snapshots":[{"event_id":"sha256:7742de1349470aecdbb959048756cb0d1dc976213e35bbeb9be04093c0ec7a7c","target":"graph","created_at":"2026-07-05T01:28:40Z","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/1909.04188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Signal retrieval from a series of indirect measurements is a common task in many imaging, metrology and characterization platforms in science and engineering. Because most of the indirect measurement processes are well-described by physical models, signal retrieval can be solved with an iterative optimization that enforces measurement consistency and prior knowledge on the signal. These iterative processes are time-consuming and only accommodate a linear measurement process and convex signal constraints. Recently, neural networks have been widely adopted to supersede iterative signal retrieval","authors_text":"Johnathon White, Shuo Pang, Yangyang Sun, Zenghu Chang, Zheyuan Zhu","cross_cats":["cs.LG","eess.SP","physics.comp-ph","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T22:41:33Z","title":"Signal retrieval with measurement system knowledge using variational generative model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04188","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:c350fd181a4e5e95415917424806514ba3263a6af04c9847205a82fae7c5c667","target":"record","created_at":"2026-07-05T01:28:40Z","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":"3bdefb448f41b26e23058ecfe3734fc061cb3c42d3091ff072c3e82498820b48","cross_cats_sorted":["cs.LG","eess.SP","physics.comp-ph","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-09T22:41:33Z","title_canon_sha256":"72e8b1c2558e5fd45d72719decfd30c6249756bf1ab9ce695871aa2b1cec354a"},"schema_version":"1.0","source":{"id":"1909.04188","kind":"arxiv","version":1}},"canonical_sha256":"4cced631df8715f580eeecc303a19dd76c67df8085b2bd71190c174fe6ebdf67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4cced631df8715f580eeecc303a19dd76c67df8085b2bd71190c174fe6ebdf67","first_computed_at":"2026-07-05T01:28:40.279404Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:28:40.279404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3aO46182s9CKUX0zYyIuSWkgcBftqoONhauwb2ROHzuimGX4vueWFgKqco4bg349yh0GpX9AHuKshwAEXi14Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T01:28:40.279889Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.04188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c350fd181a4e5e95415917424806514ba3263a6af04c9847205a82fae7c5c667","sha256:7742de1349470aecdbb959048756cb0d1dc976213e35bbeb9be04093c0ec7a7c"],"state_sha256":"d9df64bff180d3e6465b03e705534e2c4ef50e499a7393ff4d073060048c4b57"}