{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OKJYEBU5Z6ZAOVF37KU2A6DPAW","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":"5d91d6186a7864c07ef26ce0e8065dfd3ae758f89dab66c4946abfd8f216c7cb","cross_cats_sorted":["math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-02-07T17:29:43Z","title_canon_sha256":"9e6f9b929f0a1aa143052027668a2a89ab13c9b84c4c069828dfd875b6e2dc9e"},"schema_version":"1.0","source":{"id":"2602.07635","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.07635","created_at":"2026-06-09T02:07:19Z"},{"alias_kind":"arxiv_version","alias_value":"2602.07635v2","created_at":"2026-06-09T02:07:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.07635","created_at":"2026-06-09T02:07:19Z"},{"alias_kind":"pith_short_12","alias_value":"OKJYEBU5Z6ZA","created_at":"2026-06-09T02:07:19Z"},{"alias_kind":"pith_short_16","alias_value":"OKJYEBU5Z6ZAOVF3","created_at":"2026-06-09T02:07:19Z"},{"alias_kind":"pith_short_8","alias_value":"OKJYEBU5","created_at":"2026-06-09T02:07:19Z"}],"graph_snapshots":[{"event_id":"sha256:08bd008550e3af378c7f384197fe6731253681aaca3bd77fea20347698620266","target":"graph","created_at":"2026-06-09T02:07:19Z","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/2602.07635/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning has had a major impact on data compression over the last decade and opened up many new theoretical and applied fields of inquiry.\n  This paper describes one such direction -- relative entropy coding -- which focuses on constructing stochastic codes, mainly as an alternative to quantisation and entropy coding in lossy source coding. Our primary aim is to provide a broad overview of the topic, with an emphasis on the computational and practical aspects currently missing from the literature.\n  Our goal is threefold: for the curious reader, we aim to provide an intuitive picture o","authors_text":"Deniz G\\\"und\\\"uz, Gergely Flamich","cross_cats":["math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-02-07T17:29:43Z","title":"Data Compression with Stochastic Codes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.07635","kind":"arxiv","version":2},"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":"sha256:5935aa0a492aac84490bb724b2ef3785175180c7bdc866dd60618687e7d47bcc","target":"record","created_at":"2026-06-09T02:07:19Z","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":"5d91d6186a7864c07ef26ce0e8065dfd3ae758f89dab66c4946abfd8f216c7cb","cross_cats_sorted":["math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-02-07T17:29:43Z","title_canon_sha256":"9e6f9b929f0a1aa143052027668a2a89ab13c9b84c4c069828dfd875b6e2dc9e"},"schema_version":"1.0","source":{"id":"2602.07635","kind":"arxiv","version":2}},"canonical_sha256":"729382069dcfb20754bbfaa9a0786f0582462513176e20a6dfd428a42c9e5149","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"729382069dcfb20754bbfaa9a0786f0582462513176e20a6dfd428a42c9e5149","first_computed_at":"2026-06-09T02:07:19.970016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:07:19.970016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5a9bSeNWVVHOhNsuciqWjeFhellgf2w3NJpbxTNZIoH0rjaZ3b57dU6quaVjFJS6Bdf/RGvdCfCGtHPuXC02BA==","signature_status":"signed_v1","signed_at":"2026-06-09T02:07:19.971205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.07635","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5935aa0a492aac84490bb724b2ef3785175180c7bdc866dd60618687e7d47bcc","sha256:08bd008550e3af378c7f384197fe6731253681aaca3bd77fea20347698620266"],"state_sha256":"0b4ee71da5711774d05875137042494422da3449065cd4ed701ced5155b7a18a"}