{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QPUEZRLNYVB674S6AGTHWTFPEO","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":"4e4964be0de2d0103d7fe7d6158f53d2e23e247e54251015a2a3c09ba646e6e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-29T16:04:48Z","title_canon_sha256":"e2cad6e3a146fd974e4099045c17d54740b9524c7be8675688efeb4e379e361d"},"schema_version":"1.0","source":{"id":"2003.13063","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.13063","created_at":"2026-07-05T00:51:12Z"},{"alias_kind":"arxiv_version","alias_value":"2003.13063v1","created_at":"2026-07-05T00:51:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.13063","created_at":"2026-07-05T00:51:12Z"},{"alias_kind":"pith_short_12","alias_value":"QPUEZRLNYVB6","created_at":"2026-07-05T00:51:12Z"},{"alias_kind":"pith_short_16","alias_value":"QPUEZRLNYVB674S6","created_at":"2026-07-05T00:51:12Z"},{"alias_kind":"pith_short_8","alias_value":"QPUEZRLN","created_at":"2026-07-05T00:51:12Z"}],"graph_snapshots":[{"event_id":"sha256:f2a4c6f02bec86081aa50f39d9e1e39982f81667122a1fb19df961e6afbd9c89","target":"graph","created_at":"2026-07-05T00:51:12Z","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/2003.13063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent works based on deep learning and facial priors have succeeded in super-resolving severely degraded facial images. However, the prior knowledge is not fully exploited in existing methods, since facial priors such as landmark and component maps are always estimated by low-resolution or coarsely super-resolved images, which may be inaccurate and thus affect the recovery performance. In this paper, we propose a deep face super-resolution (FSR) method with iterative collaboration between two recurrent networks which focus on facial image recovery and landmark estimation respectively. In each","authors_text":"Cheng Ma, Jie Zhou, Jiwen Lu, Yongming Rao, Zhenyu Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-29T16:04:48Z","title":"Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.13063","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":"sha256:823d92510dad8b2e0e0636909645e760df2640c90ed536d5497ce0da90bf97cd","target":"record","created_at":"2026-07-05T00:51:12Z","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":"4e4964be0de2d0103d7fe7d6158f53d2e23e247e54251015a2a3c09ba646e6e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-29T16:04:48Z","title_canon_sha256":"e2cad6e3a146fd974e4099045c17d54740b9524c7be8675688efeb4e379e361d"},"schema_version":"1.0","source":{"id":"2003.13063","kind":"arxiv","version":1}},"canonical_sha256":"83e84cc56dc543eff25e01a67b4caf23aafc80a7fc65fb56b1e5cc36bc39bd37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83e84cc56dc543eff25e01a67b4caf23aafc80a7fc65fb56b1e5cc36bc39bd37","first_computed_at":"2026-07-05T00:51:12.384825Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:51:12.384825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8LY2l7RlpDpv4SYg8kzNdf/iJYoBVcxnrYm8OULLswDSkJStjkthrq9jTvIeAdcHwLy4AbE3+4RCRplRefGhAg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:51:12.385303Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.13063","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:823d92510dad8b2e0e0636909645e760df2640c90ed536d5497ce0da90bf97cd","sha256:f2a4c6f02bec86081aa50f39d9e1e39982f81667122a1fb19df961e6afbd9c89"],"state_sha256":"0dd2361887c4eab5477de55777ba05d62ffe7cb69759dcb0b3d963f16edde9fe"}