{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3PO2C2Z6FBCBN7N7MAP3DNPYOY","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":"1469005d647acc8b68fc04a8d51be622d2f769c9d8280e10304ecb89a87cbc00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T10:28:03Z","title_canon_sha256":"78deadfe4dee49ec4ff61ff929aefea21232816149f3fa2c499ffc328e870880"},"schema_version":"1.0","source":{"id":"1804.02900","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02900","created_at":"2026-05-18T00:18:48Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02900v2","created_at":"2026-05-18T00:18:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02900","created_at":"2026-05-18T00:18:48Z"},{"alias_kind":"pith_short_12","alias_value":"3PO2C2Z6FBCB","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3PO2C2Z6FBCBN7N7","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3PO2C2Z6","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:d58a4fee4f4e982ebdd32416db60263853d5793b6fe52f230dee9366c830ad72","target":"graph","created_at":"2026-05-18T00:18:48Z","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":"Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality. However, in each case it remains challenging to achieve high quality results for large upsampling factors. To this end, we propose a method (ProSR) that is progressive both in architecture and training: the network upsamples an image in intermediate steps, while the learning process is organized from easy to hard, as is done in curriculum learning. To obtain more photorealistic results, we design a generative adversarial network (GAN),","authors_text":"Alexander Sorkine-Hornung, Brian McWilliams, Christopher Schroers, Federico Perazzi, Olga Sorkine-Hornung, Yifan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T10:28:03Z","title":"A Fully Progressive Approach to Single-Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02900","kind":"arxiv","version":2},"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":"sha256:897ece27ee8551b13d5e06284e2b63738c5c074d23a858200d418cd2a9464b91","target":"record","created_at":"2026-05-18T00:18:48Z","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":"1469005d647acc8b68fc04a8d51be622d2f769c9d8280e10304ecb89a87cbc00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T10:28:03Z","title_canon_sha256":"78deadfe4dee49ec4ff61ff929aefea21232816149f3fa2c499ffc328e870880"},"schema_version":"1.0","source":{"id":"1804.02900","kind":"arxiv","version":2}},"canonical_sha256":"dbdda16b3e284416fdbf601fb1b5f876138a5773242186e5bca47a297517cd64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbdda16b3e284416fdbf601fb1b5f876138a5773242186e5bca47a297517cd64","first_computed_at":"2026-05-18T00:18:48.528583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:48.528583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vxLbS6DEAcGaZ0uVgpQWhjXucjl/ERyER4KroQaDKuVa+oiHlGaHzgFKNkboP1Khls0C4Jd/YUOQebxZ3u8JBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:48.529311Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.02900","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:897ece27ee8551b13d5e06284e2b63738c5c074d23a858200d418cd2a9464b91","sha256:d58a4fee4f4e982ebdd32416db60263853d5793b6fe52f230dee9366c830ad72"],"state_sha256":"a73d21acb68290d55793e5d37bbe167da3b00256feb31f0c9366882a87f29dde"}