{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:PSP5ZXNSSCSWWUCEZLL3HKOH63","short_pith_number":"pith:PSP5ZXNS","schema_version":"1.0","canonical_sha256":"7c9fdcddb290a56b5044cad7b3a9c7f6c91c8376ae56c17c6fb4013e277fc289","source":{"kind":"arxiv","id":"2404.01111","version":1},"attestation_state":"computed","paper":{"title":"The Rate-Distortion-Perception Trade-off: The Role of Private Randomness","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT","stat.ML"],"primary_cat":"cs.IT","authors_text":"Aaron B. Wagner, Deniz G\\\"und\\\"uz, Yassine Hamdi","submitted_at":"2024-04-01T13:36:01Z","abstract_excerpt":"In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality (realism) has been brought to light, where the realism is measured by the closeness of the output distribution to the source. It has been shown that randomized codes can be strictly better under a number of formulations. In particular, the role of common randomness has been well studied. We elucidate the role of private randomness in the compression of a memoryless source $X^n=(X_1,...,X_n)$ under two kinds of realism constraints. The near-perfect realism "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2404.01111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2024-04-01T13:36:01Z","cross_cats_sorted":["math.IT","stat.ML"],"title_canon_sha256":"b4a594a986824b6b05c36eb8be107ec7281a4121640a79bfaedb0fe889a4a291","abstract_canon_sha256":"284ea7321eba0f735b00ec44aae185857c4eca93b8c4ac75fbfffacf0ce2cb30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:03:01.036997Z","signature_b64":"YC5lGBRdLcIe8xmNElooS3+VNzWKAIY4ThaDlIbexSbVslYLt1ZxL5qGh+CrSZ6ZVmTT62DkxzA6SCglH1n5Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c9fdcddb290a56b5044cad7b3a9c7f6c91c8376ae56c17c6fb4013e277fc289","last_reissued_at":"2026-07-05T08:03:01.036541Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:03:01.036541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Rate-Distortion-Perception Trade-off: The Role of Private Randomness","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT","stat.ML"],"primary_cat":"cs.IT","authors_text":"Aaron B. Wagner, Deniz G\\\"und\\\"uz, Yassine Hamdi","submitted_at":"2024-04-01T13:36:01Z","abstract_excerpt":"In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality (realism) has been brought to light, where the realism is measured by the closeness of the output distribution to the source. It has been shown that randomized codes can be strictly better under a number of formulations. In particular, the role of common randomness has been well studied. We elucidate the role of private randomness in the compression of a memoryless source $X^n=(X_1,...,X_n)$ under two kinds of realism constraints. The near-perfect realism "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01111","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/2404.01111/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2404.01111","created_at":"2026-07-05T08:03:01.036592+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.01111v1","created_at":"2026-07-05T08:03:01.036592+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01111","created_at":"2026-07-05T08:03:01.036592+00:00"},{"alias_kind":"pith_short_12","alias_value":"PSP5ZXNSSCSW","created_at":"2026-07-05T08:03:01.036592+00:00"},{"alias_kind":"pith_short_16","alias_value":"PSP5ZXNSSCSWWUCE","created_at":"2026-07-05T08:03:01.036592+00:00"},{"alias_kind":"pith_short_8","alias_value":"PSP5ZXNS","created_at":"2026-07-05T08:03:01.036592+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.20245","citing_title":"Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism","ref_index":26,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63","json":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63.json","graph_json":"https://pith.science/api/pith-number/PSP5ZXNSSCSWWUCEZLL3HKOH63/graph.json","events_json":"https://pith.science/api/pith-number/PSP5ZXNSSCSWWUCEZLL3HKOH63/events.json","paper":"https://pith.science/paper/PSP5ZXNS"},"agent_actions":{"view_html":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63","download_json":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63.json","view_paper":"https://pith.science/paper/PSP5ZXNS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.01111&json=true","fetch_graph":"https://pith.science/api/pith-number/PSP5ZXNSSCSWWUCEZLL3HKOH63/graph.json","fetch_events":"https://pith.science/api/pith-number/PSP5ZXNSSCSWWUCEZLL3HKOH63/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63/action/storage_attestation","attest_author":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63/action/author_attestation","sign_citation":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63/action/citation_signature","submit_replication":"https://pith.science/pith/PSP5ZXNSSCSWWUCEZLL3HKOH63/action/replication_record"}},"created_at":"2026-07-05T08:03:01.036592+00:00","updated_at":"2026-07-05T08:03:01.036592+00:00"}