{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FJ2DP6XAQK5RB75PKEL5AAMHCE","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":"a5d814e8861617a699a8fdec6f7a5b13b7d8ed1e7833a3f06ea6775d82fa9692","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-12T14:01:09Z","title_canon_sha256":"3b92a0bf18fe579f30d50ea04c213cde07c3e58f79189db219acc066bdae81a6"},"schema_version":"1.0","source":{"id":"2112.06242","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.06242","created_at":"2026-07-05T07:51:23Z"},{"alias_kind":"arxiv_version","alias_value":"2112.06242v3","created_at":"2026-07-05T07:51:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.06242","created_at":"2026-07-05T07:51:23Z"},{"alias_kind":"pith_short_12","alias_value":"FJ2DP6XAQK5R","created_at":"2026-07-05T07:51:23Z"},{"alias_kind":"pith_short_16","alias_value":"FJ2DP6XAQK5RB75P","created_at":"2026-07-05T07:51:23Z"},{"alias_kind":"pith_short_8","alias_value":"FJ2DP6XA","created_at":"2026-07-05T07:51:23Z"}],"graph_snapshots":[{"event_id":"sha256:15d2653b2bb3532c6ae3b32b393703c64467ec2c89f3646a38ae8ab3eb4f7c31","target":"graph","created_at":"2026-07-05T07:51:23Z","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/2112.06242/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Event cameras are novel bio-inspired sensors that measure per-pixel brightness differences asynchronously. Recovering brightness from events is appealing since the reconstructed images inherit the high dynamic range (HDR) and high-speed properties of events; hence they can be used in many robotic vision applications and to generate slow-motion HDR videos. However, state-of-the-art methods tackle this problem by training an event-to-image Recurrent Neural Network (RNN), which lacks explainability and is difficult to tune. In this work we show, for the first time, how tackling the combined probl","authors_text":"Anthony Yezzi, Guillermo Gallego, Zelin Zhang","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-12T14:01:09Z","title":"Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.06242","kind":"arxiv","version":3},"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:aed20c6af854954b8bbb5e86bdcdbc459f0e9a08b0d859e347f540c88f6ea080","target":"record","created_at":"2026-07-05T07:51:23Z","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":"a5d814e8861617a699a8fdec6f7a5b13b7d8ed1e7833a3f06ea6775d82fa9692","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-12T14:01:09Z","title_canon_sha256":"3b92a0bf18fe579f30d50ea04c213cde07c3e58f79189db219acc066bdae81a6"},"schema_version":"1.0","source":{"id":"2112.06242","kind":"arxiv","version":3}},"canonical_sha256":"2a7437fae082bb10ffaf5117d00187111a76148f02e56236433560f9db04c7f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a7437fae082bb10ffaf5117d00187111a76148f02e56236433560f9db04c7f3","first_computed_at":"2026-07-05T07:51:23.353765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:51:23.353765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ThReXEAFe86o6wpRc5bSI28AG8iFOzpijIA1GjaCwV7nz6eYbia5vwAzcUsTjPGaS7ueMep4za5xkvkxzz+aBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:51:23.354244Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.06242","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aed20c6af854954b8bbb5e86bdcdbc459f0e9a08b0d859e347f540c88f6ea080","sha256:15d2653b2bb3532c6ae3b32b393703c64467ec2c89f3646a38ae8ab3eb4f7c31"],"state_sha256":"2f14f253f494f7ab8c5c67ed9aff87261a120696b1c63399f70ef9e7e96f61b1"}