{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:62PPE5SAS7Q5GZGQ52JQRVHFI5","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":"81bf6cc80f94abfc1d30d14e3e83c64ed47e475c9d1b135a84d2ae93df4e6e8e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-05T22:10:29Z","title_canon_sha256":"4cee8d548d229b5802021db13e615a64f6ebe9df2b1b108afc0ef4470e8643e5"},"schema_version":"1.0","source":{"id":"2107.02299","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.02299","created_at":"2026-07-05T05:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"2107.02299v5","created_at":"2026-07-05T05:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02299","created_at":"2026-07-05T05:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"62PPE5SAS7Q5","created_at":"2026-07-05T05:00:13Z"},{"alias_kind":"pith_short_16","alias_value":"62PPE5SAS7Q5GZGQ","created_at":"2026-07-05T05:00:13Z"},{"alias_kind":"pith_short_8","alias_value":"62PPE5SA","created_at":"2026-07-05T05:00:13Z"}],"graph_snapshots":[{"event_id":"sha256:585bddae661cf19108a80c6c1439dec29b301e284b72a5e06cefda46c2867ec1","target":"graph","created_at":"2026-07-05T05:00:13Z","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/2107.02299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep convolutional neural networks (DCNNs) have aided high dynamic range (HDR) imaging recently and have received a lot of attention. The quality of DCNN-generated HDR images has overperformed the traditional counterparts. However, DCNNs are prone to be computationally intensive and power-hungry, and hence cannot be implemented on various embedded computing platforms with limited power and hardware resources. Embedded systems have a huge market, and utilizing DCNNs' powerful functionality into them will further reduce human intervention. To address the challenge, we propose LightFuse, a lightw","authors_text":"Jie Yang, Orly Yadid-Pecht, Svetlana Yanushkevich, Ziyi Liu","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-05T22:10:29Z","title":"LightFuse: Lightweight CNN based Dual-exposure Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02299","kind":"arxiv","version":5},"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":"sha256:85a807e600c326308aec631b5443bada2a0a26580d26292d8bc6ed1121996dc1","target":"record","created_at":"2026-07-05T05:00:13Z","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":"81bf6cc80f94abfc1d30d14e3e83c64ed47e475c9d1b135a84d2ae93df4e6e8e","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-05T22:10:29Z","title_canon_sha256":"4cee8d548d229b5802021db13e615a64f6ebe9df2b1b108afc0ef4470e8643e5"},"schema_version":"1.0","source":{"id":"2107.02299","kind":"arxiv","version":5}},"canonical_sha256":"f69ef2764097e1d364d0ee9308d4e5477649e17595063751bad923a262160f2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f69ef2764097e1d364d0ee9308d4e5477649e17595063751bad923a262160f2a","first_computed_at":"2026-07-05T05:00:13.637895Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:13.637895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RasdFoNwgn4RQOMhBHIRgsJ9g7T4atIY35NarnD3pFFyiE5vGJt8+g/kMaYN6hVz1a3hgEKWp2muXcEgp7FwBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:13.638362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.02299","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85a807e600c326308aec631b5443bada2a0a26580d26292d8bc6ed1121996dc1","sha256:585bddae661cf19108a80c6c1439dec29b301e284b72a5e06cefda46c2867ec1"],"state_sha256":"b149d97d41930c1c7d22f81c9babf32d01deb10f02862d6bc7819edd544bbfa8"}