{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CLO3JRF6M2IWBSKOF3G7WKKYOP","short_pith_number":"pith:CLO3JRF6","canonical_record":{"source":{"id":"2412.06329","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T09:28:06Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b6346cc270e41acf2be689deef4d881b383f89ab23af3d9bdf92e521cc604292","abstract_canon_sha256":"086cbdc632efbb6f47292cc5a6c9ac2501314e78367513de7edd738d1bcb3ed4"},"schema_version":"1.0"},"canonical_sha256":"12ddb4c4be669160c94e2ecdfb295873dd5bd923c6d6321965c482292ade6e4d","source":{"kind":"arxiv","id":"2412.06329","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06329","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06329v3","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06329","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_12","alias_value":"CLO3JRF6M2IW","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_16","alias_value":"CLO3JRF6M2IWBSKO","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_8","alias_value":"CLO3JRF6","created_at":"2026-07-05T11:17:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CLO3JRF6M2IWBSKOF3G7WKKYOP","target":"record","payload":{"canonical_record":{"source":{"id":"2412.06329","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T09:28:06Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b6346cc270e41acf2be689deef4d881b383f89ab23af3d9bdf92e521cc604292","abstract_canon_sha256":"086cbdc632efbb6f47292cc5a6c9ac2501314e78367513de7edd738d1bcb3ed4"},"schema_version":"1.0"},"canonical_sha256":"12ddb4c4be669160c94e2ecdfb295873dd5bd923c6d6321965c482292ade6e4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:23.117286Z","signature_b64":"mJ+otwErZqQ+JZ3NQq9Bc31DXqPmSo1gkNnVmUqx5rpQL+DdNp29PXk6hWKpdyDV2dt5oe/r7mpX1chx+VlMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12ddb4c4be669160c94e2ecdfb295873dd5bd923c6d6321965c482292ade6e4d","last_reissued_at":"2026-07-05T11:17:23.116752Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:23.116752Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.06329","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sPJ4wHqZLdOUwqItFDTTkvRRBRWkHFwoR9Q02bsdJYbX2vuGOhI3s0OK/QHp1Es6kQT48MZZrkeLD/2GfocPDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:56:09.106857Z"},"content_sha256":"dc2cf2e59fb03962db972ba9d3966bc76f74e5fdb756b188524c9a6fe3c73c0c","schema_version":"1.0","event_id":"sha256:dc2cf2e59fb03962db972ba9d3966bc76f74e5fdb756b188524c9a6fe3c73c0c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CLO3JRF6M2IWBSKOF3G7WKKYOP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Normalizing Flows are Capable Generative Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"David Berthelot, Huangjie Zheng, Jiatao Gu, Josh Susskind, Miguel Angel Bautista, Navdeep Jaitly, Preetum Nakkiran, Ruixiang Zhang, Shuangfei Zhai, Tianrong Chen","submitted_at":"2024-12-09T09:28:06Z","abstract_excerpt":"Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models. TarFlow can be thought of as a Transformer-based variant of Masked Autoregressive Flows (MAFs): it consists of a stack of autoregressive Transformer blocks on image patches, alternatin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06329","kind":"arxiv","version":3},"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/2412.06329/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":"2026-07-05T11:17:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5wzA/po//AucvEM7X8Lxkrkp59FK6V0kNT7YaM+vrVuhEN7D0ES4DvkWudUFHSch3XGMRV8qdy1pEeWwAcAzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:56:09.107488Z"},"content_sha256":"36ea8cfe73923e548f80703121ea75e91268780706084cd8292743478e60f1c0","schema_version":"1.0","event_id":"sha256:36ea8cfe73923e548f80703121ea75e91268780706084cd8292743478e60f1c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/bundle.json","state_url":"https://pith.science/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/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":"2026-08-06T18:56:09Z","links":{"resolver":"https://pith.science/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP","bundle":"https://pith.science/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/bundle.json","state":"https://pith.science/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CLO3JRF6M2IWBSKOF3G7WKKYOP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CLO3JRF6M2IWBSKOF3G7WKKYOP","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":"086cbdc632efbb6f47292cc5a6c9ac2501314e78367513de7edd738d1bcb3ed4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T09:28:06Z","title_canon_sha256":"b6346cc270e41acf2be689deef4d881b383f89ab23af3d9bdf92e521cc604292"},"schema_version":"1.0","source":{"id":"2412.06329","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.06329","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"arxiv_version","alias_value":"2412.06329v3","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.06329","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_12","alias_value":"CLO3JRF6M2IW","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_16","alias_value":"CLO3JRF6M2IWBSKO","created_at":"2026-07-05T11:17:23Z"},{"alias_kind":"pith_short_8","alias_value":"CLO3JRF6","created_at":"2026-07-05T11:17:23Z"}],"graph_snapshots":[{"event_id":"sha256:36ea8cfe73923e548f80703121ea75e91268780706084cd8292743478e60f1c0","target":"graph","created_at":"2026-07-05T11:17:23Z","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/2412.06329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models. TarFlow can be thought of as a Transformer-based variant of Masked Autoregressive Flows (MAFs): it consists of a stack of autoregressive Transformer blocks on image patches, alternatin","authors_text":"David Berthelot, Huangjie Zheng, Jiatao Gu, Josh Susskind, Miguel Angel Bautista, Navdeep Jaitly, Preetum Nakkiran, Ruixiang Zhang, Shuangfei Zhai, Tianrong Chen","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T09:28:06Z","title":"Normalizing Flows are Capable Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.06329","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:dc2cf2e59fb03962db972ba9d3966bc76f74e5fdb756b188524c9a6fe3c73c0c","target":"record","created_at":"2026-07-05T11:17:23Z","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":"086cbdc632efbb6f47292cc5a6c9ac2501314e78367513de7edd738d1bcb3ed4","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-09T09:28:06Z","title_canon_sha256":"b6346cc270e41acf2be689deef4d881b383f89ab23af3d9bdf92e521cc604292"},"schema_version":"1.0","source":{"id":"2412.06329","kind":"arxiv","version":3}},"canonical_sha256":"12ddb4c4be669160c94e2ecdfb295873dd5bd923c6d6321965c482292ade6e4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12ddb4c4be669160c94e2ecdfb295873dd5bd923c6d6321965c482292ade6e4d","first_computed_at":"2026-07-05T11:17:23.116752Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:23.116752Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mJ+otwErZqQ+JZ3NQq9Bc31DXqPmSo1gkNnVmUqx5rpQL+DdNp29PXk6hWKpdyDV2dt5oe/r7mpX1chx+VlMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:23.117286Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.06329","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc2cf2e59fb03962db972ba9d3966bc76f74e5fdb756b188524c9a6fe3c73c0c","sha256:36ea8cfe73923e548f80703121ea75e91268780706084cd8292743478e60f1c0"],"state_sha256":"bab36a20e8a7a73ef36035ebb20fec3229fa4ae47d9bc4cae9316fc85f0e5bae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdLHkR7FyGgoqVzQ9yunBoCpvRDO9LbSFPSariarV4c1uiEKGhHfSTPM9TI3GhtZxXz0zmHqbcG8Eknab9ZFCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:56:09.114447Z","bundle_sha256":"8f53c3de6265ea9d1e12713a939e10e3aa30988ab6786bc547c3a61d4d1b6a65"}}