{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:64E6WV4T43GVG7XDXGSN4YWAJC","short_pith_number":"pith:64E6WV4T","canonical_record":{"source":{"id":"2004.06965","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-15T09:21:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"62fb51b6079d0688a3b0df318646ad666ea36216060b94035b47bbdbf772bedd","abstract_canon_sha256":"021b87ce3e00ce2f91e39c9ec45bad0999a7fedb7922e71de438d1104d1c906b"},"schema_version":"1.0"},"canonical_sha256":"f709eb5793e6cd537ee3b9a4de62c0489b6412e1e9b5a9a155e1d4e89a6e695d","source":{"kind":"arxiv","id":"2004.06965","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.06965","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"arxiv_version","alias_value":"2004.06965v1","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.06965","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_12","alias_value":"64E6WV4T43GV","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_16","alias_value":"64E6WV4T43GVG7XD","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_8","alias_value":"64E6WV4T","created_at":"2026-07-05T00:55:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:64E6WV4T43GVG7XDXGSN4YWAJC","target":"record","payload":{"canonical_record":{"source":{"id":"2004.06965","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-15T09:21:01Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"62fb51b6079d0688a3b0df318646ad666ea36216060b94035b47bbdbf772bedd","abstract_canon_sha256":"021b87ce3e00ce2f91e39c9ec45bad0999a7fedb7922e71de438d1104d1c906b"},"schema_version":"1.0"},"canonical_sha256":"f709eb5793e6cd537ee3b9a4de62c0489b6412e1e9b5a9a155e1d4e89a6e695d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:55:23.785083Z","signature_b64":"eMGuBOfc6sZlp3wp7ct2MhQnoDdBoGwXw/ALJWqfrFnn27Wj7wSEI8qq9uVwm9jtQLbR8ka5jShA1+jm7WTnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f709eb5793e6cd537ee3b9a4de62c0489b6412e1e9b5a9a155e1d4e89a6e695d","last_reissued_at":"2026-07-05T00:55:23.784659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:55:23.784659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.06965","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":"2026-07-05T00:55:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nTX0qdNTZd1yKXtpRvz2RjXtUe6k9gUPchoUAxHEwKzwvRYrzdZHM0t6bZ5vrJ5tFEkTFp6vHao9xgkwBXNmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:03:27.812515Z"},"content_sha256":"fafa3523194ee537e4e006f1f902287dc2e7c379d862fe9a315a2d7675c1ffd6","schema_version":"1.0","event_id":"sha256:fafa3523194ee537e4e006f1f902287dc2e7c379d862fe9a315a2d7675c1ffd6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:64E6WV4T43GVG7XDXGSN4YWAJC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hsien-Kai Kuo, Shou-Yao Roy Tseng, Yi-Min Tsai, Yu-Syuan Xu, Yu Tseng","submitted_at":"2020-04-15T09:21:01Z","abstract_excerpt":"Deep Convolutional Neural Networks (CNNs) have achieved remarkable results on Single Image Super-Resolution (SISR). Despite considering only a single degradation, recent studies also include multiple degrading effects to better reflect real-world cases. However, most of the works assume a fixed combination of degrading effects, or even train an individual network for different combinations. Instead, a more practical approach is to train a single network for wide-ranging and variational degradations. To fulfill this requirement, this paper proposes a unified network to accommodate the variation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.06965","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/2004.06965/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":"2026-07-05T00:55:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/oYJT2ekDnaEiTXn1QcITPqVa+//7HpYasUxyd6maBKAQ17SF7YK/uE/itMr9iiVqPBbsba8qGLHLpr0Kt0lDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:03:27.812894Z"},"content_sha256":"3842e463c02af50c24513e40a0a51c1e394227b48f0038486b412b05a9205f7f","schema_version":"1.0","event_id":"sha256:3842e463c02af50c24513e40a0a51c1e394227b48f0038486b412b05a9205f7f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/64E6WV4T43GVG7XDXGSN4YWAJC/bundle.json","state_url":"https://pith.science/pith/64E6WV4T43GVG7XDXGSN4YWAJC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/64E6WV4T43GVG7XDXGSN4YWAJC/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":"2026-08-03T22:03:27Z","links":{"resolver":"https://pith.science/pith/64E6WV4T43GVG7XDXGSN4YWAJC","bundle":"https://pith.science/pith/64E6WV4T43GVG7XDXGSN4YWAJC/bundle.json","state":"https://pith.science/pith/64E6WV4T43GVG7XDXGSN4YWAJC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/64E6WV4T43GVG7XDXGSN4YWAJC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:64E6WV4T43GVG7XDXGSN4YWAJC","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":"021b87ce3e00ce2f91e39c9ec45bad0999a7fedb7922e71de438d1104d1c906b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-15T09:21:01Z","title_canon_sha256":"62fb51b6079d0688a3b0df318646ad666ea36216060b94035b47bbdbf772bedd"},"schema_version":"1.0","source":{"id":"2004.06965","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.06965","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"arxiv_version","alias_value":"2004.06965v1","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.06965","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_12","alias_value":"64E6WV4T43GV","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_16","alias_value":"64E6WV4T43GVG7XD","created_at":"2026-07-05T00:55:23Z"},{"alias_kind":"pith_short_8","alias_value":"64E6WV4T","created_at":"2026-07-05T00:55:23Z"}],"graph_snapshots":[{"event_id":"sha256:3842e463c02af50c24513e40a0a51c1e394227b48f0038486b412b05a9205f7f","target":"graph","created_at":"2026-07-05T00:55:23Z","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/2004.06965/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Convolutional Neural Networks (CNNs) have achieved remarkable results on Single Image Super-Resolution (SISR). Despite considering only a single degradation, recent studies also include multiple degrading effects to better reflect real-world cases. However, most of the works assume a fixed combination of degrading effects, or even train an individual network for different combinations. Instead, a more practical approach is to train a single network for wide-ranging and variational degradations. To fulfill this requirement, this paper proposes a unified network to accommodate the variation","authors_text":"Hsien-Kai Kuo, Shou-Yao Roy Tseng, Yi-Min Tsai, Yu-Syuan Xu, Yu Tseng","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-15T09:21:01Z","title":"Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.06965","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:fafa3523194ee537e4e006f1f902287dc2e7c379d862fe9a315a2d7675c1ffd6","target":"record","created_at":"2026-07-05T00:55:23Z","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":"021b87ce3e00ce2f91e39c9ec45bad0999a7fedb7922e71de438d1104d1c906b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-15T09:21:01Z","title_canon_sha256":"62fb51b6079d0688a3b0df318646ad666ea36216060b94035b47bbdbf772bedd"},"schema_version":"1.0","source":{"id":"2004.06965","kind":"arxiv","version":1}},"canonical_sha256":"f709eb5793e6cd537ee3b9a4de62c0489b6412e1e9b5a9a155e1d4e89a6e695d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f709eb5793e6cd537ee3b9a4de62c0489b6412e1e9b5a9a155e1d4e89a6e695d","first_computed_at":"2026-07-05T00:55:23.784659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:55:23.784659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eMGuBOfc6sZlp3wp7ct2MhQnoDdBoGwXw/ALJWqfrFnn27Wj7wSEI8qq9uVwm9jtQLbR8ka5jShA1+jm7WTnBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:55:23.785083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.06965","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fafa3523194ee537e4e006f1f902287dc2e7c379d862fe9a315a2d7675c1ffd6","sha256:3842e463c02af50c24513e40a0a51c1e394227b48f0038486b412b05a9205f7f"],"state_sha256":"3a875ad7c0e6e28aabd6dde4337ddb6617a5d4d5717b98eacdb2f5b469ebf793"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u1CbQqC2O3gTdWq3tMll1KlR133zjO55/trcLqlUlE6P/rbS/YmwOF3H/3LQKkADF6ggIC3JKfJvvJkO2d2PCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:03:27.815552Z","bundle_sha256":"48bf8941cedac5cb05568b21f119b45bcf32095578597abba7903e89db799751"}}