{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:C4VONBZ56XP7566QUM6AKWGDFE","short_pith_number":"pith:C4VONBZ5","canonical_record":{"source":{"id":"2607.25997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-07-28T17:13:53Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"64727de9a49cbb26792e1280734997e7177da991e43ae265886a8d655f436299","abstract_canon_sha256":"02f6eed859e6e735706a87e777440da218bb669998f2f0de52a56494000e5e45"},"schema_version":"1.0"},"canonical_sha256":"172ae6873df5dffefbd0a33c0558c3292a6e85346aad15ea845e8788f2ebaf38","source":{"kind":"arxiv","id":"2607.25997","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25997","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25997v1","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25997","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_12","alias_value":"C4VONBZ56XP7","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"C4VONBZ56XP7566Q","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"C4VONBZ5","created_at":"2026-07-29T01:26:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:C4VONBZ56XP7566QUM6AKWGDFE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.25997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-07-28T17:13:53Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"64727de9a49cbb26792e1280734997e7177da991e43ae265886a8d655f436299","abstract_canon_sha256":"02f6eed859e6e735706a87e777440da218bb669998f2f0de52a56494000e5e45"},"schema_version":"1.0"},"canonical_sha256":"172ae6873df5dffefbd0a33c0558c3292a6e85346aad15ea845e8788f2ebaf38","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:26:18.213100Z","signature_b64":"+sXm87nkTEh3Pc7fTZ4cNHOMjolT3i8FTBhPnw6YbBSbkMCbXtyLwZkLeNqEXEiaetwFAZerU/+vxPrd2lDPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"172ae6873df5dffefbd0a33c0558c3292a6e85346aad15ea845e8788f2ebaf38","last_reissued_at":"2026-07-29T01:26:18.212262Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:26:18.212262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.25997","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":"2026-07-29T01:26:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vi3BUDcZwrQImC8ABDKOvQKbhZcYvlrGWtWr385IWwFKI7lfR2T6s+1vhosziCsbC6/9j2DMPnBOiQuZ2aMlAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:14:17.372620Z"},"content_sha256":"c4a9f9e06d7d2e156435d5e6b6016562ffe8793559083fdc67636f076b5c4354","schema_version":"1.0","event_id":"sha256:c4a9f9e06d7d2e156435d5e6b6016562ffe8793559083fdc67636f076b5c4354"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:C4VONBZ56XP7566QUM6AKWGDFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Rate-Distortion-Deception Tradeoff","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Aylin Yener, Sahan Liyanaarachchi, Semih Akkoc, Sennur Ulukus","submitted_at":"2026-07-28T17:13:53Z","abstract_excerpt":"The problem of finding the optimal compression rate for a given random variable has been traditionally studied under two main constraints: distortion and perception. The distortion constraint enforces the fidelity of our reconstruction with respect to the observed realization of the random variable, while the perception constraint ensures that the reconstruction is close to a sample from the distribution of the random variable of interest. In this work, we explore the possibility of reconstruction, such that the reconstructed sample is still within a desired fidelity level with our original re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25997","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/2607.25997/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":"2026-07-29T01:26:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EYCaltNzPu6GldtMh3s1QH4exMsiY6Hbn8eACOe18I9Wu7PXFCxmG7DKvMzq5UAyC54lf6Fm9HXWQqmWN4zsAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:14:17.375118Z"},"content_sha256":"df9d07b4ab22998cf161f82bc45b6a8b9df4c6adf92029924d1bc07ef7cb9eac","schema_version":"1.0","event_id":"sha256:df9d07b4ab22998cf161f82bc45b6a8b9df4c6adf92029924d1bc07ef7cb9eac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C4VONBZ56XP7566QUM6AKWGDFE/bundle.json","state_url":"https://pith.science/pith/C4VONBZ56XP7566QUM6AKWGDFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C4VONBZ56XP7566QUM6AKWGDFE/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":"2026-08-09T13:14:17Z","links":{"resolver":"https://pith.science/pith/C4VONBZ56XP7566QUM6AKWGDFE","bundle":"https://pith.science/pith/C4VONBZ56XP7566QUM6AKWGDFE/bundle.json","state":"https://pith.science/pith/C4VONBZ56XP7566QUM6AKWGDFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C4VONBZ56XP7566QUM6AKWGDFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:C4VONBZ56XP7566QUM6AKWGDFE","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":"02f6eed859e6e735706a87e777440da218bb669998f2f0de52a56494000e5e45","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-07-28T17:13:53Z","title_canon_sha256":"64727de9a49cbb26792e1280734997e7177da991e43ae265886a8d655f436299"},"schema_version":"1.0","source":{"id":"2607.25997","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25997","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25997v1","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25997","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_12","alias_value":"C4VONBZ56XP7","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"C4VONBZ56XP7566Q","created_at":"2026-07-29T01:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"C4VONBZ5","created_at":"2026-07-29T01:26:18Z"}],"graph_snapshots":[{"event_id":"sha256:df9d07b4ab22998cf161f82bc45b6a8b9df4c6adf92029924d1bc07ef7cb9eac","target":"graph","created_at":"2026-07-29T01:26:18Z","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/2607.25997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The problem of finding the optimal compression rate for a given random variable has been traditionally studied under two main constraints: distortion and perception. The distortion constraint enforces the fidelity of our reconstruction with respect to the observed realization of the random variable, while the perception constraint ensures that the reconstruction is close to a sample from the distribution of the random variable of interest. In this work, we explore the possibility of reconstruction, such that the reconstructed sample is still within a desired fidelity level with our original re","authors_text":"Aylin Yener, Sahan Liyanaarachchi, Semih Akkoc, Sennur Ulukus","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-07-28T17:13:53Z","title":"The Rate-Distortion-Deception Tradeoff"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25997","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:c4a9f9e06d7d2e156435d5e6b6016562ffe8793559083fdc67636f076b5c4354","target":"record","created_at":"2026-07-29T01:26:18Z","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":"02f6eed859e6e735706a87e777440da218bb669998f2f0de52a56494000e5e45","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2026-07-28T17:13:53Z","title_canon_sha256":"64727de9a49cbb26792e1280734997e7177da991e43ae265886a8d655f436299"},"schema_version":"1.0","source":{"id":"2607.25997","kind":"arxiv","version":1}},"canonical_sha256":"172ae6873df5dffefbd0a33c0558c3292a6e85346aad15ea845e8788f2ebaf38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"172ae6873df5dffefbd0a33c0558c3292a6e85346aad15ea845e8788f2ebaf38","first_computed_at":"2026-07-29T01:26:18.212262Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:26:18.212262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+sXm87nkTEh3Pc7fTZ4cNHOMjolT3i8FTBhPnw6YbBSbkMCbXtyLwZkLeNqEXEiaetwFAZerU/+vxPrd2lDPDQ==","signature_status":"signed_v1","signed_at":"2026-07-29T01:26:18.213100Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25997","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4a9f9e06d7d2e156435d5e6b6016562ffe8793559083fdc67636f076b5c4354","sha256:df9d07b4ab22998cf161f82bc45b6a8b9df4c6adf92029924d1bc07ef7cb9eac"],"state_sha256":"55ecb7a49dbcda471ca451480d4637a47e1c6e2f8f86c2d880e15c5ce18952fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y07haEagbn9QVwTosZDuYTIgNuGMGKzVt1NY1Q+jM5eQHrxpVwyqohdH4Xqif4wyBvteZblbpEm3lmw/OU2eAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T13:14:17.380613Z","bundle_sha256":"4dac3a7e44ea7cb14ee05c1d597cedffc842b7fa161f647208459e1ae490f66e"}}