{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DUR4C2BYWZDQWMIGMNTVFSV63U","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":"34072caf0e6bbed6ffe6468cc3a98db26a97d04daa6b9aa2967dfabd37e487d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-18T08:35:18Z","title_canon_sha256":"30ec41f2fa0c21d1c4bcee1f8b0b0d093d5b007523e8a8b974a73a82b5f9e39c"},"schema_version":"1.0","source":{"id":"1809.06591","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06591","created_at":"2026-05-18T00:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06591v1","created_at":"2026-05-18T00:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06591","created_at":"2026-05-18T00:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"DUR4C2BYWZDQ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DUR4C2BYWZDQWMIG","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DUR4C2BY","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:1e6dd9f8dc900c026b9dfa144edc469d2f55bbc7de433c650fa92c64fd8c2163","target":"graph","created_at":"2026-05-18T00:05:25Z","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":"The 3-D total variation (3DTV) is a powerful regularization term, which encodes the local smoothness prior structure underlying a hyper-spectral image (HSI), for general HSI processing tasks. This term is calculated by assuming identical and independent sparsity structures on all bands of gradient maps calculated along spatial and spectral HSI modes. This, however, is always largely deviated from the real cases, where the gradient maps are generally with different while correlated sparsity structures across all their bands. Such deviation tends to hamper the performance of the related method b","authors_text":"Deyu Meng, Jiangjun Peng, Qian Zhao, Qi Xie, Yao Wang, Yee Leung","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-18T08:35:18Z","title":"Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06591","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:f204ad5d87e3c54dd2195612e76ce1621e455e3fefddd628f16464ff7ed65fbf","target":"record","created_at":"2026-05-18T00:05:25Z","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":"34072caf0e6bbed6ffe6468cc3a98db26a97d04daa6b9aa2967dfabd37e487d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-18T08:35:18Z","title_canon_sha256":"30ec41f2fa0c21d1c4bcee1f8b0b0d093d5b007523e8a8b974a73a82b5f9e39c"},"schema_version":"1.0","source":{"id":"1809.06591","kind":"arxiv","version":1}},"canonical_sha256":"1d23c16838b6470b3106636752cabedd20b17cd573d09c07d5c452992598a84a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d23c16838b6470b3106636752cabedd20b17cd573d09c07d5c452992598a84a","first_computed_at":"2026-05-18T00:05:25.248303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:25.248303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASn2mx69VzfXxFT0S/6be1JOu416JyDeED/v61ZxSijSEAMk0wkmZzz9Tybn3hCuYaXoo5mrxj/O9EfQsPJ2Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:25.248844Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.06591","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f204ad5d87e3c54dd2195612e76ce1621e455e3fefddd628f16464ff7ed65fbf","sha256:1e6dd9f8dc900c026b9dfa144edc469d2f55bbc7de433c650fa92c64fd8c2163"],"state_sha256":"08a7d72c43011b981fb02426084c2700268633d56650000f9086de8dc7ea8900"}