{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:2XYWTRFKTS7UI3SCE7KJWKBS4E","short_pith_number":"pith:2XYWTRFK","canonical_record":{"source":{"id":"1701.05652","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-20T01:44:21Z","cross_cats_sorted":[],"title_canon_sha256":"a3beebc80e78a3ecd47a3c096e2de01d75606924f6c244aade00b9f02b8f1c1e","abstract_canon_sha256":"e9799a79ccbe97b4a12bc37cb386600c048a41a1d3e3332cb5f76b7f4e83c204"},"schema_version":"1.0"},"canonical_sha256":"d5f169c4aa9cbf446e4227d49b2832e12e0e2fe7b6c94a9f78193fee34eafd8d","source":{"kind":"arxiv","id":"1701.05652","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.05652","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.05652v3","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.05652","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"pith_short_12","alias_value":"2XYWTRFKTS7U","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"2XYWTRFKTS7UI3SC","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"2XYWTRFK","created_at":"2026-05-18T12:30:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:2XYWTRFKTS7UI3SCE7KJWKBS4E","target":"record","payload":{"canonical_record":{"source":{"id":"1701.05652","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-20T01:44:21Z","cross_cats_sorted":[],"title_canon_sha256":"a3beebc80e78a3ecd47a3c096e2de01d75606924f6c244aade00b9f02b8f1c1e","abstract_canon_sha256":"e9799a79ccbe97b4a12bc37cb386600c048a41a1d3e3332cb5f76b7f4e83c204"},"schema_version":"1.0"},"canonical_sha256":"d5f169c4aa9cbf446e4227d49b2832e12e0e2fe7b6c94a9f78193fee34eafd8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:07.827859Z","signature_b64":"e1MI1Q+Z7h35MInrfYiws7ossCsAbmQ6Oo64VDzifuiwpwYTOXpcuSKAZvFCjm5b0DREnHqsjjqIFW9CWSs7Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5f169c4aa9cbf446e4227d49b2832e12e0e2fe7b6c94a9f78193fee34eafd8d","last_reissued_at":"2026-05-18T00:13:07.827200Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:07.827200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.05652","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:13:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tfNwefneXTa2E3Tj6ydQxZm6uCq17EfuyqQ3+Py5ug0rarigfUNpv3b4KGJVyO9NmIWRaWNcg7lDWOxKnMjdBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T19:56:46.846109Z"},"content_sha256":"543954c1476b338ada718ee1dd27250638ecefc0428430f6397e23fa84ef8a26","schema_version":"1.0","event_id":"sha256:543954c1476b338ada718ee1dd27250638ecefc0428430f6397e23fa84ef8a26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:2XYWTRFKTS7UI3SCE7KJWKBS4E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual Recovery Network with Online Compensation for Image Super-Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaying Liu, Sifeng Xia, Wenhan Yang, Zongming Guo","submitted_at":"2017-01-20T01:44:21Z","abstract_excerpt":"Image super-resolution (SR) methods essentially lead to a loss of some high-frequency (HF) information when predicting high-resolution (HR) images from low-resolution (LR) images without using external references. To address this issue, we additionally utilize online retrieved data to facilitate image SR in a unified deep framework. A novel dual high-frequency recovery network (DHN) is proposed to predict an HR image with three parts: an LR image, an internal inferred HF (IHF) map (HF missing part inferred solely from the LR image) and an external extracted HF (EHF) map. In particular, we infe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.05652","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:13:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F7P9U1ER8DQdT+NPhAAK3aLjll+hoG/QVxMPFOfaqoGKyUN9PZdfw21Xs6LtWhW6OJty5JFOzTpM5iQUyk4HDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T19:56:46.846466Z"},"content_sha256":"25006b4e87bb0be3c62a291104f2ed52aa7a423a1c48b5b83d9eb21ff167eb05","schema_version":"1.0","event_id":"sha256:25006b4e87bb0be3c62a291104f2ed52aa7a423a1c48b5b83d9eb21ff167eb05"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/bundle.json","state_url":"https://pith.science/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/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":"2026-06-03T19:56:46Z","links":{"resolver":"https://pith.science/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E","bundle":"https://pith.science/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/bundle.json","state":"https://pith.science/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2XYWTRFKTS7UI3SCE7KJWKBS4E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:2XYWTRFKTS7UI3SCE7KJWKBS4E","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":"e9799a79ccbe97b4a12bc37cb386600c048a41a1d3e3332cb5f76b7f4e83c204","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-20T01:44:21Z","title_canon_sha256":"a3beebc80e78a3ecd47a3c096e2de01d75606924f6c244aade00b9f02b8f1c1e"},"schema_version":"1.0","source":{"id":"1701.05652","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.05652","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.05652v3","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.05652","created_at":"2026-05-18T00:13:07Z"},{"alias_kind":"pith_short_12","alias_value":"2XYWTRFKTS7U","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"2XYWTRFKTS7UI3SC","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"2XYWTRFK","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:25006b4e87bb0be3c62a291104f2ed52aa7a423a1c48b5b83d9eb21ff167eb05","target":"graph","created_at":"2026-05-18T00:13:07Z","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":"Image super-resolution (SR) methods essentially lead to a loss of some high-frequency (HF) information when predicting high-resolution (HR) images from low-resolution (LR) images without using external references. To address this issue, we additionally utilize online retrieved data to facilitate image SR in a unified deep framework. A novel dual high-frequency recovery network (DHN) is proposed to predict an HR image with three parts: an LR image, an internal inferred HF (IHF) map (HF missing part inferred solely from the LR image) and an external extracted HF (EHF) map. In particular, we infe","authors_text":"Jiaying Liu, Sifeng Xia, Wenhan Yang, Zongming Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-20T01:44:21Z","title":"Dual Recovery Network with Online Compensation for Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.05652","kind":"arxiv","version":3},"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":"sha256:543954c1476b338ada718ee1dd27250638ecefc0428430f6397e23fa84ef8a26","target":"record","created_at":"2026-05-18T00:13:07Z","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":"e9799a79ccbe97b4a12bc37cb386600c048a41a1d3e3332cb5f76b7f4e83c204","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-20T01:44:21Z","title_canon_sha256":"a3beebc80e78a3ecd47a3c096e2de01d75606924f6c244aade00b9f02b8f1c1e"},"schema_version":"1.0","source":{"id":"1701.05652","kind":"arxiv","version":3}},"canonical_sha256":"d5f169c4aa9cbf446e4227d49b2832e12e0e2fe7b6c94a9f78193fee34eafd8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5f169c4aa9cbf446e4227d49b2832e12e0e2fe7b6c94a9f78193fee34eafd8d","first_computed_at":"2026-05-18T00:13:07.827200Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:07.827200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e1MI1Q+Z7h35MInrfYiws7ossCsAbmQ6Oo64VDzifuiwpwYTOXpcuSKAZvFCjm5b0DREnHqsjjqIFW9CWSs7Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:07.827859Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.05652","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:543954c1476b338ada718ee1dd27250638ecefc0428430f6397e23fa84ef8a26","sha256:25006b4e87bb0be3c62a291104f2ed52aa7a423a1c48b5b83d9eb21ff167eb05"],"state_sha256":"6faa4228b45ff2b9ada75f510c1bbcedb3ed54540c95a330df5e959f6da607ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g9abNKLqm984cs1gZPAKjpNSxHVOgQ459FOIQ25fNdeMdOfju5du4jQTWATxjD1qy9lmmrx/umZjbFzEPblhBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T19:56:46.848602Z","bundle_sha256":"d4f5f1e990f57ef032b41f6e20aa3e5458aabbd68d9fcb3d46649f7670c4c683"}}