{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:QRXMRTWS27FLVVHJP32EIMR2YX","short_pith_number":"pith:QRXMRTWS","canonical_record":{"source":{"id":"1511.02228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-06T20:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"0d6577887b01feaf0575cf111d5898cd01128e05b12bbafc95ce774d78cbed07","abstract_canon_sha256":"feb4aa1f161a68075469941892e6da3c37dfeccfc697b8d5252d5c5741ad1f81"},"schema_version":"1.0"},"canonical_sha256":"846ec8ced2d7cabad4e97ef444323ac5ce0d25cbd1ddfca852978c3ae70d901f","source":{"kind":"arxiv","id":"1511.02228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.02228","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"arxiv_version","alias_value":"1511.02228v1","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.02228","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"pith_short_12","alias_value":"QRXMRTWS27FL","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"QRXMRTWS27FLVVHJ","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"QRXMRTWS","created_at":"2026-05-18T12:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:QRXMRTWS27FLVVHJP32EIMR2YX","target":"record","payload":{"canonical_record":{"source":{"id":"1511.02228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-06T20:58:20Z","cross_cats_sorted":[],"title_canon_sha256":"0d6577887b01feaf0575cf111d5898cd01128e05b12bbafc95ce774d78cbed07","abstract_canon_sha256":"feb4aa1f161a68075469941892e6da3c37dfeccfc697b8d5252d5c5741ad1f81"},"schema_version":"1.0"},"canonical_sha256":"846ec8ced2d7cabad4e97ef444323ac5ce0d25cbd1ddfca852978c3ae70d901f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:27:37.399438Z","signature_b64":"+Mp7qaZLYQIHcMYNv3IhFos5dYJRDjU76myCxlDyRkrjV4sm3O9/FILx28eGJV3O1mQWd1Hc377kodb8wXQAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"846ec8ced2d7cabad4e97ef444323ac5ce0d25cbd1ddfca852978c3ae70d901f","last_reissued_at":"2026-05-18T01:27:37.398688Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:27:37.398688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.02228","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":"2026-05-18T01:27:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SAnmVDWkBrtnooJzyA43WBmKC7jrC3K0h5ajtSnNLH2RXbfqcRu04MCmrhf5FQYjj8HaI6MLrcSUBm4yGmwgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:37:36.173920Z"},"content_sha256":"bd7311658cb015127be7ade88069d944273f69190c7fb8e118549e284ef3c97d","schema_version":"1.0","event_id":"sha256:bd7311658cb015127be7ade88069d944273f69190c7fb8e118549e284ef3c97d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:QRXMRTWS27FLVVHJP32EIMR2YX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Seven ways to improve example-based single image super resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Luc Van Gool, Radu Timofte, Rasmus Rothe","submitted_at":"2015-11-06T20:58:20Z","abstract_excerpt":"In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self-similarities, 5) back projection refinement, 6) enhanced prediction by consistency check, and 7) context reasoning. We validate our seven techniques on standard SR benchmarks (i.e. Set5, Set14, B100) and methods (i.e. A+, SRCNN, ANR, Zeyde, Yang) and achieve substantial improvements.The techniques are widely applicable and require no changes or only mi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.02228","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":""},"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":"2026-05-18T01:27:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mNEBq0i8Z9p/tdYFep9afv9r3THnaFKzLmJzfCITmbp6+RnK5dcIdruN+SQw1/s1vphFF91549lcn9hAhmSsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:37:36.175704Z"},"content_sha256":"1cfe4cfdd344dd1c0a96427fbb6d008d0efc53509628544a7851c498182e24c7","schema_version":"1.0","event_id":"sha256:1cfe4cfdd344dd1c0a96427fbb6d008d0efc53509628544a7851c498182e24c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QRXMRTWS27FLVVHJP32EIMR2YX/bundle.json","state_url":"https://pith.science/pith/QRXMRTWS27FLVVHJP32EIMR2YX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QRXMRTWS27FLVVHJP32EIMR2YX/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":"2026-08-15T09:37:36Z","links":{"resolver":"https://pith.science/pith/QRXMRTWS27FLVVHJP32EIMR2YX","bundle":"https://pith.science/pith/QRXMRTWS27FLVVHJP32EIMR2YX/bundle.json","state":"https://pith.science/pith/QRXMRTWS27FLVVHJP32EIMR2YX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QRXMRTWS27FLVVHJP32EIMR2YX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:QRXMRTWS27FLVVHJP32EIMR2YX","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":"feb4aa1f161a68075469941892e6da3c37dfeccfc697b8d5252d5c5741ad1f81","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-06T20:58:20Z","title_canon_sha256":"0d6577887b01feaf0575cf111d5898cd01128e05b12bbafc95ce774d78cbed07"},"schema_version":"1.0","source":{"id":"1511.02228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.02228","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"arxiv_version","alias_value":"1511.02228v1","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.02228","created_at":"2026-05-18T01:27:37Z"},{"alias_kind":"pith_short_12","alias_value":"QRXMRTWS27FL","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"QRXMRTWS27FLVVHJ","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"QRXMRTWS","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:1cfe4cfdd344dd1c0a96427fbb6d008d0efc53509628544a7851c498182e24c7","target":"graph","created_at":"2026-05-18T01:27:37Z","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":"In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self-similarities, 5) back projection refinement, 6) enhanced prediction by consistency check, and 7) context reasoning. We validate our seven techniques on standard SR benchmarks (i.e. Set5, Set14, B100) and methods (i.e. A+, SRCNN, ANR, Zeyde, Yang) and achieve substantial improvements.The techniques are widely applicable and require no changes or only mi","authors_text":"Luc Van Gool, Radu Timofte, Rasmus Rothe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-06T20:58:20Z","title":"Seven ways to improve example-based single image super resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.02228","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:bd7311658cb015127be7ade88069d944273f69190c7fb8e118549e284ef3c97d","target":"record","created_at":"2026-05-18T01:27:37Z","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":"feb4aa1f161a68075469941892e6da3c37dfeccfc697b8d5252d5c5741ad1f81","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-06T20:58:20Z","title_canon_sha256":"0d6577887b01feaf0575cf111d5898cd01128e05b12bbafc95ce774d78cbed07"},"schema_version":"1.0","source":{"id":"1511.02228","kind":"arxiv","version":1}},"canonical_sha256":"846ec8ced2d7cabad4e97ef444323ac5ce0d25cbd1ddfca852978c3ae70d901f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"846ec8ced2d7cabad4e97ef444323ac5ce0d25cbd1ddfca852978c3ae70d901f","first_computed_at":"2026-05-18T01:27:37.398688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:27:37.398688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Mp7qaZLYQIHcMYNv3IhFos5dYJRDjU76myCxlDyRkrjV4sm3O9/FILx28eGJV3O1mQWd1Hc377kodb8wXQAAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:27:37.399438Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.02228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd7311658cb015127be7ade88069d944273f69190c7fb8e118549e284ef3c97d","sha256:1cfe4cfdd344dd1c0a96427fbb6d008d0efc53509628544a7851c498182e24c7"],"state_sha256":"b809de96d4d3ceaf71e8bdef4b251698bf91c8619a3e0c6c37f56fff6730cb93"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E7fyEXNgfrjk4t2uOuPU5A5Gqm/by4BwirizW0I6cQ87v4uE7FsTIAkIbhF3hGDDwQtnOk5TFFC7jCjho8+ACA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T09:37:36.183135Z","bundle_sha256":"08eaaf1f60b819b4c4541f39c156c4bcb943e18b699e3e6cf319a1bd01309b03"}}