{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:S7PILGY4MBWN533BF7O7KWJV2K","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":"029dd1846ffc965cd740e74160a72d3040258b47ceb3716711681de372c98896","cross_cats_sorted":["cs.AI","cs.IR","cs.MS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-20T16:00:28Z","title_canon_sha256":"efae0d3922cde9b1f9993ba3b810415ccc993c39525b2bb94152bf26775f0312"},"schema_version":"1.0","source":{"id":"2112.10638","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10638","created_at":"2026-07-05T04:07:43Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10638v3","created_at":"2026-07-05T04:07:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10638","created_at":"2026-07-05T04:07:43Z"},{"alias_kind":"pith_short_12","alias_value":"S7PILGY4MBWN","created_at":"2026-07-05T04:07:43Z"},{"alias_kind":"pith_short_16","alias_value":"S7PILGY4MBWN533B","created_at":"2026-07-05T04:07:43Z"},{"alias_kind":"pith_short_8","alias_value":"S7PILGY4","created_at":"2026-07-05T04:07:43Z"}],"graph_snapshots":[{"event_id":"sha256:f2556b1bf4870ad11939bb249bbb67385a8b0e1dc2e6a32ccfa23135d112b1c4","target":"graph","created_at":"2026-07-05T04:07:43Z","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/2112.10638/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Latte is compatible with both PyTorch and TensorFlow/Keras, and provides both functional and modular APIs that can be easily extended to support other deep learning frameworks. Using NumPy-based and framework-agnostic implementation, Latte ensures reproducible, consistent, and deterministic metric calculations regardless of the deep learning framework of choice.","authors_text":"Alexander Lerch, Junyoung Lee, Karn N. Watcharasupat","cross_cats":["cs.AI","cs.IR","cs.MS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-20T16:00:28Z","title":"Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10638","kind":"arxiv","version":3},"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:e4249dd8b341ac9aeb64d0602200f7b243d4cf79276613bba4033b392a87c326","target":"record","created_at":"2026-07-05T04:07:43Z","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":"029dd1846ffc965cd740e74160a72d3040258b47ceb3716711681de372c98896","cross_cats_sorted":["cs.AI","cs.IR","cs.MS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-20T16:00:28Z","title_canon_sha256":"efae0d3922cde9b1f9993ba3b810415ccc993c39525b2bb94152bf26775f0312"},"schema_version":"1.0","source":{"id":"2112.10638","kind":"arxiv","version":3}},"canonical_sha256":"97de859b1c606cdeef612fddf55935d281be5c76e1fd53e57125272ef56353a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97de859b1c606cdeef612fddf55935d281be5c76e1fd53e57125272ef56353a8","first_computed_at":"2026-07-05T04:07:43.213019Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:07:43.213019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SYAWcQnjbJQZfvahmo6izX4Z4KirPISnIDkWV4FbSiwXX1hKbz8GhtUOoFxuF9SMnAaeBpR5PjbwEqTdj1MuAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:07:43.213557Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.10638","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4249dd8b341ac9aeb64d0602200f7b243d4cf79276613bba4033b392a87c326","sha256:f2556b1bf4870ad11939bb249bbb67385a8b0e1dc2e6a32ccfa23135d112b1c4"],"state_sha256":"cd9482a0c44e33716fa5c7db8364d4884baebb55a657dd3e8f4d8a9dd256014b"}