{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3DPRSZKZNYWCX2GHDYVINA2NJH","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":"b3259a7879119179d4c55ba6f626eae84a3afa0f43b8378b78dc0a79c5eb5503","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-15T04:20:12Z","title_canon_sha256":"f2931097dd293c9b00b7bff1dea26280afaa59d9c0ae6d0958204dd41a22a328"},"schema_version":"1.0","source":{"id":"1905.05941","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.05941","created_at":"2026-05-17T23:46:08Z"},{"alias_kind":"arxiv_version","alias_value":"1905.05941v1","created_at":"2026-05-17T23:46:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.05941","created_at":"2026-05-17T23:46:08Z"},{"alias_kind":"pith_short_12","alias_value":"3DPRSZKZNYWC","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3DPRSZKZNYWCX2GH","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3DPRSZKZ","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:4b1493c0707298afdc93bcd159d2ea5160ed43098965beed9576333e88ddf7be","target":"graph","created_at":"2026-05-17T23:46:08Z","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":"In this paper, we propose a novel low-tubal-rank tensor recovery model, which directly constrains the tubal rank prior for effectively removing the mixed Gaussian and sparse noise in hyperspectral images. The constraints of tubal-rank and sparsity can govern the solution of the denoised tensor in the recovery procedure. To solve the constrained low-tubal-rank model, we develop an iterative algorithm based on bilateral random projections to efficiently solve the proposed model. The advantage of random projections is that the approximation of the low-tubal-rank tensor can be obtained quite accur","authors_text":"Hao Zhang, Michael Kwok-Po Ng, Tai-Xiang Jiang, Xi-Le Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-15T04:20:12Z","title":"Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.05941","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":"sha256:4cafcb087d80260667f4990925c9b5d6761a9ef05cb5ef4db54134aa43b88028","target":"record","created_at":"2026-05-17T23:46:08Z","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":"b3259a7879119179d4c55ba6f626eae84a3afa0f43b8378b78dc0a79c5eb5503","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-15T04:20:12Z","title_canon_sha256":"f2931097dd293c9b00b7bff1dea26280afaa59d9c0ae6d0958204dd41a22a328"},"schema_version":"1.0","source":{"id":"1905.05941","kind":"arxiv","version":1}},"canonical_sha256":"d8df1965596e2c2be8c71e2a86834d49fa0e52e84f978961e28e9439b08b706e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8df1965596e2c2be8c71e2a86834d49fa0e52e84f978961e28e9439b08b706e","first_computed_at":"2026-05-17T23:46:08.023715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:08.023715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7BFeXjaCUWsVytg9kqsXXo0jiyZ/HI0oDq4rxMiT0ZIUi8gi2q/dXZDyVEzAgVW+6HFNVilxuvhSPOzEsIYgDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:08.024336Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.05941","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cafcb087d80260667f4990925c9b5d6761a9ef05cb5ef4db54134aa43b88028","sha256:4b1493c0707298afdc93bcd159d2ea5160ed43098965beed9576333e88ddf7be"],"state_sha256":"731768e08cbc0933502d15da7ffa0de70fe9f0b0f49d65410716af0a313785e2"}