{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:D7HDKLSSQMK7W75G4M2AKPSFV7","short_pith_number":"pith:D7HDKLSS","canonical_record":{"source":{"id":"2403.05093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-08T06:39:24Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"45c972a6bd86fa1c07473b17f261d00198a93195362553461fc826c76087ad08","abstract_canon_sha256":"d11607c4b1fd12041d4b95e423d09d70ebadb63c56f1f02f1fff159587053fd5"},"schema_version":"1.0"},"canonical_sha256":"1fce352e528315fb7fa6e334053e45aff35af552b0a0483d3bfaa189a5894806","source":{"kind":"arxiv","id":"2403.05093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05093","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05093v1","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05093","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_12","alias_value":"D7HDKLSSQMK7","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_16","alias_value":"D7HDKLSSQMK7W75G","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_8","alias_value":"D7HDKLSS","created_at":"2026-07-05T07:53:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:D7HDKLSSQMK7W75G4M2AKPSFV7","target":"record","payload":{"canonical_record":{"source":{"id":"2403.05093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-08T06:39:24Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"45c972a6bd86fa1c07473b17f261d00198a93195362553461fc826c76087ad08","abstract_canon_sha256":"d11607c4b1fd12041d4b95e423d09d70ebadb63c56f1f02f1fff159587053fd5"},"schema_version":"1.0"},"canonical_sha256":"1fce352e528315fb7fa6e334053e45aff35af552b0a0483d3bfaa189a5894806","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:53:38.367358Z","signature_b64":"OaYuvgJv71aubCg1iacCFG9lUSe0CAzRYFkX22la+5+1PMysQPCENgCDaVOATJEKcx96zbpDXcFAc1pQcsceAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1fce352e528315fb7fa6e334053e45aff35af552b0a0483d3bfaa189a5894806","last_reissued_at":"2026-07-05T07:53:38.366760Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:53:38.366760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.05093","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":"2026-07-05T07:53:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4xvAEQPqGRy7PwVU6QqBM/hkWC+2cr+ywMA3TbS7mMpeXqlBGny4962PGIjBtpjKOV+2faIHsabDD9whyKNmBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:24:34.215541Z"},"content_sha256":"131fbbd0fbe7bfd806d10b43a828c62f7aef47ee3efa5e4b5eaa18c8ffde7adb","schema_version":"1.0","event_id":"sha256:131fbbd0fbe7bfd806d10b43a828c62f7aef47ee3efa5e4b5eaa18c8ffde7adb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:D7HDKLSSQMK7W75G4M2AKPSFV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Hyunseok Seo, Seokjun Lee, Seung-Won Jung","submitted_at":"2024-03-08T06:39:24Z","abstract_excerpt":"Currently, image generation and synthesis have remarkably progressed with generative models. Despite photo-realistic results, intrinsic discrepancies are still observed in the frequency domain. The spectral discrepancy appeared not only in generative adversarial networks but in diffusion models. In this study, we propose a framework to effectively mitigate the disparity in frequency domain of the generated images to improve generative performance of both GAN and diffusion models. This is realized by spectrum translation for the refinement of image generation (STIG) based on contrastive learnin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05093","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/2403.05093/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":"2026-07-05T07:53:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zO1ARhZBvzVZuvenC5aY+c9OnNu5hjJNbIXDVz3EDy9sCik67ZjzqQIf8+nkeou0n7twLegCAyDTQCKCxAEMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:24:34.216069Z"},"content_sha256":"549add0c97748ebe748bfd12ee3958a4fee1c47890314d57839f28e03f9e908b","schema_version":"1.0","event_id":"sha256:549add0c97748ebe748bfd12ee3958a4fee1c47890314d57839f28e03f9e908b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/bundle.json","state_url":"https://pith.science/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/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":"2026-08-08T06:24:34Z","links":{"resolver":"https://pith.science/pith/D7HDKLSSQMK7W75G4M2AKPSFV7","bundle":"https://pith.science/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/bundle.json","state":"https://pith.science/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D7HDKLSSQMK7W75G4M2AKPSFV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:D7HDKLSSQMK7W75G4M2AKPSFV7","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":"d11607c4b1fd12041d4b95e423d09d70ebadb63c56f1f02f1fff159587053fd5","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-08T06:39:24Z","title_canon_sha256":"45c972a6bd86fa1c07473b17f261d00198a93195362553461fc826c76087ad08"},"schema_version":"1.0","source":{"id":"2403.05093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05093","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05093v1","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05093","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_12","alias_value":"D7HDKLSSQMK7","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_16","alias_value":"D7HDKLSSQMK7W75G","created_at":"2026-07-05T07:53:38Z"},{"alias_kind":"pith_short_8","alias_value":"D7HDKLSS","created_at":"2026-07-05T07:53:38Z"}],"graph_snapshots":[{"event_id":"sha256:549add0c97748ebe748bfd12ee3958a4fee1c47890314d57839f28e03f9e908b","target":"graph","created_at":"2026-07-05T07:53:38Z","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/2403.05093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Currently, image generation and synthesis have remarkably progressed with generative models. Despite photo-realistic results, intrinsic discrepancies are still observed in the frequency domain. The spectral discrepancy appeared not only in generative adversarial networks but in diffusion models. In this study, we propose a framework to effectively mitigate the disparity in frequency domain of the generated images to improve generative performance of both GAN and diffusion models. This is realized by spectrum translation for the refinement of image generation (STIG) based on contrastive learnin","authors_text":"Hyunseok Seo, Seokjun Lee, Seung-Won Jung","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-08T06:39:24Z","title":"Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05093","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":"sha256:131fbbd0fbe7bfd806d10b43a828c62f7aef47ee3efa5e4b5eaa18c8ffde7adb","target":"record","created_at":"2026-07-05T07:53:38Z","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":"d11607c4b1fd12041d4b95e423d09d70ebadb63c56f1f02f1fff159587053fd5","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-08T06:39:24Z","title_canon_sha256":"45c972a6bd86fa1c07473b17f261d00198a93195362553461fc826c76087ad08"},"schema_version":"1.0","source":{"id":"2403.05093","kind":"arxiv","version":1}},"canonical_sha256":"1fce352e528315fb7fa6e334053e45aff35af552b0a0483d3bfaa189a5894806","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fce352e528315fb7fa6e334053e45aff35af552b0a0483d3bfaa189a5894806","first_computed_at":"2026-07-05T07:53:38.366760Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:38.366760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OaYuvgJv71aubCg1iacCFG9lUSe0CAzRYFkX22la+5+1PMysQPCENgCDaVOATJEKcx96zbpDXcFAc1pQcsceAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:38.367358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.05093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:131fbbd0fbe7bfd806d10b43a828c62f7aef47ee3efa5e4b5eaa18c8ffde7adb","sha256:549add0c97748ebe748bfd12ee3958a4fee1c47890314d57839f28e03f9e908b"],"state_sha256":"62ed76e6b26a227348066ed46e66fe1ef6bdebe9a0c9cd1c5950e295a685fa60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WW0z8Qd+dqr6a9s3pcZEUTRu1Miv2jT8OAF9lEz40u60Kt4ODa7y4eskkQ/lXOW+chngHj8LioQLyDl8fFdxAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T06:24:34.220692Z","bundle_sha256":"216f7adc9af4e68da97e00401e6f522989674412ae05b49204061b7a9584d426"}}