{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ENOTSSGX2QEBXGCSNTAIEQ7E4E","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":"23adf9b3545ee8d6203632681d5afbb6f2262ca0f89bcc3236694d05a6de5d9d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-05T14:57:43Z","title_canon_sha256":"28f4e66515dcf7ef4507929554cc21c9b6ffa0b8eae6bcaf4ac4e419b981fd70"},"schema_version":"1.0","source":{"id":"2505.02705","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.02705","created_at":"2026-07-05T10:58:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.02705v1","created_at":"2026-07-05T10:58:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.02705","created_at":"2026-07-05T10:58:41Z"},{"alias_kind":"pith_short_12","alias_value":"ENOTSSGX2QEB","created_at":"2026-07-05T10:58:41Z"},{"alias_kind":"pith_short_16","alias_value":"ENOTSSGX2QEBXGCS","created_at":"2026-07-05T10:58:41Z"},{"alias_kind":"pith_short_8","alias_value":"ENOTSSGX","created_at":"2026-07-05T10:58:41Z"}],"graph_snapshots":[{"event_id":"sha256:31f13ffe14d567b40ed2f03b5af8edc1925b3348caa13a257d532adab34839b0","target":"graph","created_at":"2026-07-05T10:58:41Z","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/2505.02705/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image denoising is essential in low-level vision applications such as photography and automated driving. Existing methods struggle with distinguishing complex noise patterns in real-world scenes and consume significant computational resources due to reliance on Transformer-based models. In this work, the Context-guided Receptance Weighted Key-Value (\\M) model is proposed, combining enhanced multi-view feature integration with efficient sequence modeling. Our approach introduces the Context-guided Token Shift (CTS) paradigm, which effectively captures local spatial dependencies and enhance the ","authors_text":"Binghong Chen, Guanglu Zhou, Tingting Chai, Wei Jiang, Xiangqian Wu, Yuanrong Xu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-05T14:57:43Z","title":"Multi-View Learning with Context-Guided Receptance for Image Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.02705","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:d6c9330ab17fa0a8774a0553fab195ca6ce23feb10d4602e53b2e3b13faa85ca","target":"record","created_at":"2026-07-05T10:58:41Z","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":"23adf9b3545ee8d6203632681d5afbb6f2262ca0f89bcc3236694d05a6de5d9d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-05T14:57:43Z","title_canon_sha256":"28f4e66515dcf7ef4507929554cc21c9b6ffa0b8eae6bcaf4ac4e419b981fd70"},"schema_version":"1.0","source":{"id":"2505.02705","kind":"arxiv","version":1}},"canonical_sha256":"235d3948d7d4081b98526cc08243e4e129b82f17225bdee7dd94180f771f510a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"235d3948d7d4081b98526cc08243e4e129b82f17225bdee7dd94180f771f510a","first_computed_at":"2026-07-05T10:58:41.568047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:41.568047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mOand4RkZPElKHRndO2eNRqPK0dLyMNlMqmaxjhBH3dgGzjkn/7sRQWvXEEuo0Vcovia+7+xwzqoB7H/S2brAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:41.568598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.02705","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6c9330ab17fa0a8774a0553fab195ca6ce23feb10d4602e53b2e3b13faa85ca","sha256:31f13ffe14d567b40ed2f03b5af8edc1925b3348caa13a257d532adab34839b0"],"state_sha256":"4f90e12e8c011c8deecc1b414209d9f965bcefc874509c492fcce30ba19d3ede"}