{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HXRUUTWSIB6PLOO5YGVU6IMI2F","short_pith_number":"pith:HXRUUTWS","canonical_record":{"source":{"id":"1806.00333","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-06-01T13:33:07Z","cross_cats_sorted":[],"title_canon_sha256":"1c49cec0b2e0d835c7ce749a7eb0d22d690c7b4af113745c94fb5551425d9863","abstract_canon_sha256":"ca4e199daf5b8af456a92eafa363947e83a4a11930b0fd8be3cc5a80c86362a3"},"schema_version":"1.0"},"canonical_sha256":"3de34a4ed2407cf5b9ddc1ab4f2188d164e60aee3a21c03bd681fc12041b8978","source":{"kind":"arxiv","id":"1806.00333","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.00333","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"arxiv_version","alias_value":"1806.00333v1","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00333","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"pith_short_12","alias_value":"HXRUUTWSIB6P","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HXRUUTWSIB6PLOO5","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HXRUUTWS","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HXRUUTWSIB6PLOO5YGVU6IMI2F","target":"record","payload":{"canonical_record":{"source":{"id":"1806.00333","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-06-01T13:33:07Z","cross_cats_sorted":[],"title_canon_sha256":"1c49cec0b2e0d835c7ce749a7eb0d22d690c7b4af113745c94fb5551425d9863","abstract_canon_sha256":"ca4e199daf5b8af456a92eafa363947e83a4a11930b0fd8be3cc5a80c86362a3"},"schema_version":"1.0"},"canonical_sha256":"3de34a4ed2407cf5b9ddc1ab4f2188d164e60aee3a21c03bd681fc12041b8978","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:23.997815Z","signature_b64":"Rd8yKrOhYUp534d7mKpinHF9xjh8au0sdrD/G5UChXRCIiCyvZpkSQ9eSHXAqYqawHE2Ozojic7NDLU9Lu7aBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3de34a4ed2407cf5b9ddc1ab4f2188d164e60aee3a21c03bd681fc12041b8978","last_reissued_at":"2026-05-18T00:14:23.997024Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:23.997024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.00333","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":"2026-05-18T00:14:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VJIUNUGCcDe21lC+sGakmXOCk56vcwBAw50wlnPj3FC+L9Da26dTrjrml7PvCjY+nvZGwwckPii2lAK3MqluDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T06:43:44.063183Z"},"content_sha256":"4cc26c47113ecfec2ec6a1dbbc36172360994a4d02e83d021228c24eec5ffff3","schema_version":"1.0","event_id":"sha256:4cc26c47113ecfec2ec6a1dbbc36172360994a4d02e83d021228c24eec5ffff3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HXRUUTWSIB6PLOO5YGVU6IMI2F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learned Compression Artifact Removal by Deep Residual Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"A. Murat Tekalp, Gonca Bakar, Og\\\"un K{\\i}rmemi\\c{s}","submitted_at":"2018-06-01T13:33:07Z","abstract_excerpt":"We propose a method for learned compression artifact removal by post-processing of BPG compressed images. We trained three networks of different sizes. We encoded input images using BPG with different QP values. We submitted the best combination of test images, encoded with different QP and post-processed by one of three networks, which satisfy the file size and decode time constraints imposed by the Challenge. The selection of the best combination is posed as an integer programming problem. Although the visual improvements in image quality is impressive, the average PSNR improvement for the r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00333","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":"2026-05-18T00:14:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QWno8zUeL0uhOM2mMmVcBHnU5OhTApYIMuzuaeP6womGrKvYwgysU/VQagZDj/fG7ESySmQBQY/I4EtPziK8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T06:43:44.063538Z"},"content_sha256":"d64e9f4bf532b5b282c224d3008ffd25870698f9af5e4fafc5934fc904a4801c","schema_version":"1.0","event_id":"sha256:d64e9f4bf532b5b282c224d3008ffd25870698f9af5e4fafc5934fc904a4801c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/bundle.json","state_url":"https://pith.science/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/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":"2026-06-20T06:43:44Z","links":{"resolver":"https://pith.science/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F","bundle":"https://pith.science/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/bundle.json","state":"https://pith.science/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HXRUUTWSIB6PLOO5YGVU6IMI2F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HXRUUTWSIB6PLOO5YGVU6IMI2F","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":"ca4e199daf5b8af456a92eafa363947e83a4a11930b0fd8be3cc5a80c86362a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-06-01T13:33:07Z","title_canon_sha256":"1c49cec0b2e0d835c7ce749a7eb0d22d690c7b4af113745c94fb5551425d9863"},"schema_version":"1.0","source":{"id":"1806.00333","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.00333","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"arxiv_version","alias_value":"1806.00333v1","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00333","created_at":"2026-05-18T00:14:23Z"},{"alias_kind":"pith_short_12","alias_value":"HXRUUTWSIB6P","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HXRUUTWSIB6PLOO5","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HXRUUTWS","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:d64e9f4bf532b5b282c224d3008ffd25870698f9af5e4fafc5934fc904a4801c","target":"graph","created_at":"2026-05-18T00:14:23Z","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"},"paper":{"abstract_excerpt":"We propose a method for learned compression artifact removal by post-processing of BPG compressed images. We trained three networks of different sizes. We encoded input images using BPG with different QP values. We submitted the best combination of test images, encoded with different QP and post-processed by one of three networks, which satisfy the file size and decode time constraints imposed by the Challenge. The selection of the best combination is posed as an integer programming problem. Although the visual improvements in image quality is impressive, the average PSNR improvement for the r","authors_text":"A. Murat Tekalp, Gonca Bakar, Og\\\"un K{\\i}rmemi\\c{s}","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-06-01T13:33:07Z","title":"Learned Compression Artifact Removal by Deep Residual Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00333","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":"sha256:4cc26c47113ecfec2ec6a1dbbc36172360994a4d02e83d021228c24eec5ffff3","target":"record","created_at":"2026-05-18T00:14:23Z","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":"ca4e199daf5b8af456a92eafa363947e83a4a11930b0fd8be3cc5a80c86362a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-06-01T13:33:07Z","title_canon_sha256":"1c49cec0b2e0d835c7ce749a7eb0d22d690c7b4af113745c94fb5551425d9863"},"schema_version":"1.0","source":{"id":"1806.00333","kind":"arxiv","version":1}},"canonical_sha256":"3de34a4ed2407cf5b9ddc1ab4f2188d164e60aee3a21c03bd681fc12041b8978","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3de34a4ed2407cf5b9ddc1ab4f2188d164e60aee3a21c03bd681fc12041b8978","first_computed_at":"2026-05-18T00:14:23.997024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:23.997024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rd8yKrOhYUp534d7mKpinHF9xjh8au0sdrD/G5UChXRCIiCyvZpkSQ9eSHXAqYqawHE2Ozojic7NDLU9Lu7aBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:23.997815Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.00333","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cc26c47113ecfec2ec6a1dbbc36172360994a4d02e83d021228c24eec5ffff3","sha256:d64e9f4bf532b5b282c224d3008ffd25870698f9af5e4fafc5934fc904a4801c"],"state_sha256":"3fb6cf7775580978bfd92ae197321e22b84fcdacc0d44ea32651a6b8f1d9a31c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kqxo8Vph4WGUoiNLak71pWoJjfd9PW8/0EUFZ4ve1HGERfS1R2VufK4Wk+u4k6cIn8HHfMwnNi1jYt6iQ4XPCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T06:43:44.065361Z","bundle_sha256":"56b82bbd2495934ae35b7383a88186ce217c24b6910832144c08d007ba43913a"}}