{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:C3JXVU5CHVN2V26QIBV7U7QME2","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":"93ac1df69f9391cac44017157d5ba260261d0fee59addf1e94e4e8eeae4f8fb0","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-04-21T12:20:24Z","title_canon_sha256":"bcf5f62aada28668c733683ce36d1da2a0580693a40106361c2b8c0c9a5f70bc"},"schema_version":"1.0","source":{"id":"2104.10488","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.10488","created_at":"2026-07-05T02:34:02Z"},{"alias_kind":"arxiv_version","alias_value":"2104.10488v1","created_at":"2026-07-05T02:34:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.10488","created_at":"2026-07-05T02:34:02Z"},{"alias_kind":"pith_short_12","alias_value":"C3JXVU5CHVN2","created_at":"2026-07-05T02:34:02Z"},{"alias_kind":"pith_short_16","alias_value":"C3JXVU5CHVN2V26Q","created_at":"2026-07-05T02:34:02Z"},{"alias_kind":"pith_short_8","alias_value":"C3JXVU5C","created_at":"2026-07-05T02:34:02Z"}],"graph_snapshots":[{"event_id":"sha256:c67c00f6fc8df352504c9b80c655e9d1f49ebfa6f8a9796f5b714fd6e28ea4f2","target":"graph","created_at":"2026-07-05T02:34:02Z","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/2104.10488/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and contribute remarkable progress. However, most of the existing CNNs-based SISR methods do not adequately explore contextual information in the feature extraction stage and pay little attention to the final high-resolution (HR) image reconstruction step, hence hindering the desired SR performance. To address the above two issues, in this paper, we propose a two-stage attentive network (TSAN) for accurate SISR in a coarse-to-fine manner. Specifically, we design a novel multi-c","authors_text":"Baocai Yin, Chengjiang Long, Haiyang Mei, Haiyin Piao, Jiqing Zhang, Xin Yang, Yuxin Wang","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-04-21T12:20:24Z","title":"A Two-Stage Attentive Network for Single Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.10488","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":"sha256:68baef261314d90d9738d76d54829af0a41a9773c21ae0f47f97ebb447e81337","target":"record","created_at":"2026-07-05T02:34:02Z","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":"93ac1df69f9391cac44017157d5ba260261d0fee59addf1e94e4e8eeae4f8fb0","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-04-21T12:20:24Z","title_canon_sha256":"bcf5f62aada28668c733683ce36d1da2a0580693a40106361c2b8c0c9a5f70bc"},"schema_version":"1.0","source":{"id":"2104.10488","kind":"arxiv","version":1}},"canonical_sha256":"16d37ad3a23d5baaebd0406bfa7e0c26bd776c137ff1f400ba08a2452318dce6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16d37ad3a23d5baaebd0406bfa7e0c26bd776c137ff1f400ba08a2452318dce6","first_computed_at":"2026-07-05T02:34:02.939218Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:34:02.939218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I50WH+9u2cWrOGg6mNx0DuM7SP2cftGD96o/M5817+WQBOBglWIOp0g1/BvNID5Fb22JT6ps3eewdpVk/VTECA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:34:02.939635Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.10488","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68baef261314d90d9738d76d54829af0a41a9773c21ae0f47f97ebb447e81337","sha256:c67c00f6fc8df352504c9b80c655e9d1f49ebfa6f8a9796f5b714fd6e28ea4f2"],"state_sha256":"2fdace9f9797310809f9cd1662a7787da76960c50bdb825b63358bc7791e6bcf"}