{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HCMYHEKI6DLN6Q3T77T672GKRZ","short_pith_number":"pith:HCMYHEKI","canonical_record":{"source":{"id":"1911.03624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-11-09T06:48:53Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"89a0a8549c03a0fd20c202050f3b986711e0ca5d94769db6a70b92fab63613a4","abstract_canon_sha256":"8daee755d9cad3b2bc935ce54cf2fb8d42cdf6525b298a7208bb1f81c2e04347"},"schema_version":"1.0"},"canonical_sha256":"3899839148f0d6df4373ffe7efe8ca8e75ff94ef031682c20dad41d2a3fe25ef","source":{"kind":"arxiv","id":"1911.03624","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.03624","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"arxiv_version","alias_value":"1911.03624v1","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.03624","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_12","alias_value":"HCMYHEKI6DLN","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_16","alias_value":"HCMYHEKI6DLN6Q3T","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_8","alias_value":"HCMYHEKI","created_at":"2026-07-05T00:18:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HCMYHEKI6DLN6Q3T77T672GKRZ","target":"record","payload":{"canonical_record":{"source":{"id":"1911.03624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-11-09T06:48:53Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"89a0a8549c03a0fd20c202050f3b986711e0ca5d94769db6a70b92fab63613a4","abstract_canon_sha256":"8daee755d9cad3b2bc935ce54cf2fb8d42cdf6525b298a7208bb1f81c2e04347"},"schema_version":"1.0"},"canonical_sha256":"3899839148f0d6df4373ffe7efe8ca8e75ff94ef031682c20dad41d2a3fe25ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:18:14.387342Z","signature_b64":"i2xRSjl7vFIJKKnIVgtuZWXbqCKXW3O+PGdV7KrRZQIqdaE/8BVt0PGUEQNKLTUhpRLJHgZYzRZCaIPoOwYUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3899839148f0d6df4373ffe7efe8ca8e75ff94ef031682c20dad41d2a3fe25ef","last_reissued_at":"2026-07-05T00:18:14.386972Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:18:14.386972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.03624","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:18:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"du/kSmiSZgSzF39GlsQK6jNCObncqHFFMI9CWU5ly2xCfpbgvkSO4B9LWFSp6VWF7dx4oBDM8ZTYKS46bcdaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:09:10.712327Z"},"content_sha256":"ecbf0bb208c4bb6e92b91c930c4488543af12d12366fda967847c0f0b09d0085","schema_version":"1.0","event_id":"sha256:ecbf0bb208c4bb6e92b91c930c4488543af12d12366fda967847c0f0b09d0085"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HCMYHEKI6DLN6Q3T77T672GKRZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Gu Yong Park, Jae Woong Soh, Junho Jo, Nam Ik Cho","submitted_at":"2019-11-09T06:48:53Z","abstract_excerpt":"Recently, many convolutional neural networks for single image super-resolution (SISR) have been proposed, which focus on reconstructing the high-resolution images in terms of objective distortion measures. However, the networks trained with objective loss functions generally fail to reconstruct the realistic fine textures and details that are essential for better perceptual quality. Recovering the realistic details remains a challenging problem, and only a few works have been proposed which aim at increasing the perceptual quality by generating enhanced textures. However, the generated fake de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.03624","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1911.03624/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:18:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xetfI4b8oUdp5JC03Pq3i4yCCIV+OTMys0AKcfxBr3QxcdoZflOmmiQGyit70F0r97BUn3zDOzDmGI8pZHhSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:09:10.712831Z"},"content_sha256":"8c2074e89502576bcd4ad677058f11c414663b9a349af8a824c9746152b3ebad","schema_version":"1.0","event_id":"sha256:8c2074e89502576bcd4ad677058f11c414663b9a349af8a824c9746152b3ebad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/bundle.json","state_url":"https://pith.science/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T15:09:10Z","links":{"resolver":"https://pith.science/pith/HCMYHEKI6DLN6Q3T77T672GKRZ","bundle":"https://pith.science/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/bundle.json","state":"https://pith.science/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HCMYHEKI6DLN6Q3T77T672GKRZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HCMYHEKI6DLN6Q3T77T672GKRZ","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":"8daee755d9cad3b2bc935ce54cf2fb8d42cdf6525b298a7208bb1f81c2e04347","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-11-09T06:48:53Z","title_canon_sha256":"89a0a8549c03a0fd20c202050f3b986711e0ca5d94769db6a70b92fab63613a4"},"schema_version":"1.0","source":{"id":"1911.03624","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.03624","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"arxiv_version","alias_value":"1911.03624v1","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.03624","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_12","alias_value":"HCMYHEKI6DLN","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_16","alias_value":"HCMYHEKI6DLN6Q3T","created_at":"2026-07-05T00:18:14Z"},{"alias_kind":"pith_short_8","alias_value":"HCMYHEKI","created_at":"2026-07-05T00:18:14Z"}],"graph_snapshots":[{"event_id":"sha256:8c2074e89502576bcd4ad677058f11c414663b9a349af8a824c9746152b3ebad","target":"graph","created_at":"2026-07-05T00:18:14Z","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/1911.03624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, many convolutional neural networks for single image super-resolution (SISR) have been proposed, which focus on reconstructing the high-resolution images in terms of objective distortion measures. However, the networks trained with objective loss functions generally fail to reconstruct the realistic fine textures and details that are essential for better perceptual quality. Recovering the realistic details remains a challenging problem, and only a few works have been proposed which aim at increasing the perceptual quality by generating enhanced textures. However, the generated fake de","authors_text":"Gu Yong Park, Jae Woong Soh, Junho Jo, Nam Ik Cho","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-11-09T06:48:53Z","title":"Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.03624","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:ecbf0bb208c4bb6e92b91c930c4488543af12d12366fda967847c0f0b09d0085","target":"record","created_at":"2026-07-05T00:18:14Z","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":"8daee755d9cad3b2bc935ce54cf2fb8d42cdf6525b298a7208bb1f81c2e04347","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-11-09T06:48:53Z","title_canon_sha256":"89a0a8549c03a0fd20c202050f3b986711e0ca5d94769db6a70b92fab63613a4"},"schema_version":"1.0","source":{"id":"1911.03624","kind":"arxiv","version":1}},"canonical_sha256":"3899839148f0d6df4373ffe7efe8ca8e75ff94ef031682c20dad41d2a3fe25ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3899839148f0d6df4373ffe7efe8ca8e75ff94ef031682c20dad41d2a3fe25ef","first_computed_at":"2026-07-05T00:18:14.386972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:18:14.386972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i2xRSjl7vFIJKKnIVgtuZWXbqCKXW3O+PGdV7KrRZQIqdaE/8BVt0PGUEQNKLTUhpRLJHgZYzRZCaIPoOwYUBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:18:14.387342Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.03624","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecbf0bb208c4bb6e92b91c930c4488543af12d12366fda967847c0f0b09d0085","sha256:8c2074e89502576bcd4ad677058f11c414663b9a349af8a824c9746152b3ebad"],"state_sha256":"5d4b6dd9ee3a7149fd29226dab38ac8a47a2e0f896e8735fdda136562fd885c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PEwvmaQsvboIKuZhVMTXxEQPSTLokBjYAXkT7yaChGz9VwQKLmpmL/MP/zpQdaIbUPkJAzilYmHWuIKRI3fgCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T15:09:10.732057Z","bundle_sha256":"2a6b0918e5a1da6e027208bf5cc81098cd220b22120f3dd0938e0847188d5df8"}}