{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AN53EOIC6WKRUGZCGAMXW6TMLS","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":"c3fc5d124b8205220c6f3642846490a85d6f1e25eccdcdd091798a85f32331db","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-18T23:10:58Z","title_canon_sha256":"4ea3d1ebee73192b4f5ef11c89f707cbf330279eb5bbdc44a3f7daf2fd06be0a"},"schema_version":"1.0","source":{"id":"2210.10205","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.10205","created_at":"2026-07-05T05:08:07Z"},{"alias_kind":"arxiv_version","alias_value":"2210.10205v1","created_at":"2026-07-05T05:08:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.10205","created_at":"2026-07-05T05:08:07Z"},{"alias_kind":"pith_short_12","alias_value":"AN53EOIC6WKR","created_at":"2026-07-05T05:08:07Z"},{"alias_kind":"pith_short_16","alias_value":"AN53EOIC6WKRUGZC","created_at":"2026-07-05T05:08:07Z"},{"alias_kind":"pith_short_8","alias_value":"AN53EOIC","created_at":"2026-07-05T05:08:07Z"}],"graph_snapshots":[{"event_id":"sha256:4b946007f4a0650a24ba3563c97698f113b3c534a5de94011131b3d29d73cdb2","target":"graph","created_at":"2026-07-05T05:08:07Z","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/2210.10205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While hierarchical variational autoencoders (VAEs) have achieved great density estimation on image modeling tasks, samples from their prior tend to look less convincing than models with similar log-likelihood. We attribute this to learned representations that over-emphasize compressing imperceptible details of the image. To address this, we introduce a KL-reweighting strategy to control the amount of infor mation in each latent group, and employ a Gaussian output layer to reduce sharpness in the learning objective. To trade off image diversity for fidelity, we additionally introduce a classifi","authors_text":"Eric Luhman, Troy Luhman","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-18T23:10:58Z","title":"Optimizing Hierarchical Image VAEs for Sample Quality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.10205","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":"sha256:368714a4f6882428221fadcf93c16946e8c3c226b11b7c500957f0db5448f3c8","target":"record","created_at":"2026-07-05T05:08:07Z","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":"c3fc5d124b8205220c6f3642846490a85d6f1e25eccdcdd091798a85f32331db","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-10-18T23:10:58Z","title_canon_sha256":"4ea3d1ebee73192b4f5ef11c89f707cbf330279eb5bbdc44a3f7daf2fd06be0a"},"schema_version":"1.0","source":{"id":"2210.10205","kind":"arxiv","version":1}},"canonical_sha256":"037bb23902f5951a1b2230197b7a6c5c98dc548e9916f277bc19e6fa2ac1a2b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"037bb23902f5951a1b2230197b7a6c5c98dc548e9916f277bc19e6fa2ac1a2b2","first_computed_at":"2026-07-05T05:08:07.395185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:08:07.395185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4VwwvFOseFrIoIkgmaqtXHFOzAWRx4bmzi8xPbMO96v+lTYNSzMrpTJ0++t040DwVb/wJokqIo13nzvbBb93CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:08:07.395716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.10205","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:368714a4f6882428221fadcf93c16946e8c3c226b11b7c500957f0db5448f3c8","sha256:4b946007f4a0650a24ba3563c97698f113b3c534a5de94011131b3d29d73cdb2"],"state_sha256":"f70dc8b375d4c1d0fe682f01128d2c8d8b7df7003767f19d06da377a1ade59d6"}