{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:43PTHCIH57D6CRZOAWQ7C4HF2R","short_pith_number":"pith:43PTHCIH","canonical_record":{"source":{"id":"2011.07248","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-14T09:51:51Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"2c130d44bfe460a939e59450c1cb6559ee1a24b0cdeb0be36c1e7c2ba3ad6b0b","abstract_canon_sha256":"81d8e3d5b33449de3f016df21338e0398491da25d7fffe4335369b9dc694b47e"},"schema_version":"1.0"},"canonical_sha256":"e6df338907efc7e1472e05a1f170e5d44fc0a2fee4c063b0a310e87bf299b5fe","source":{"kind":"arxiv","id":"2011.07248","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.07248","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"arxiv_version","alias_value":"2011.07248v2","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.07248","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_12","alias_value":"43PTHCIH57D6","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_16","alias_value":"43PTHCIH57D6CRZO","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_8","alias_value":"43PTHCIH","created_at":"2026-07-05T02:47:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:43PTHCIH57D6CRZOAWQ7C4HF2R","target":"record","payload":{"canonical_record":{"source":{"id":"2011.07248","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-14T09:51:51Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"2c130d44bfe460a939e59450c1cb6559ee1a24b0cdeb0be36c1e7c2ba3ad6b0b","abstract_canon_sha256":"81d8e3d5b33449de3f016df21338e0398491da25d7fffe4335369b9dc694b47e"},"schema_version":"1.0"},"canonical_sha256":"e6df338907efc7e1472e05a1f170e5d44fc0a2fee4c063b0a310e87bf299b5fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:47:40.607744Z","signature_b64":"/E9LhP92Ch6vaoEUyYEvAJ9X4L1I37UuVlsS0MhCj3v77bnzdFSGoemJMyNNAN+941cdAvJGJvHsbLYOWJiGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6df338907efc7e1472e05a1f170e5d44fc0a2fee4c063b0a310e87bf299b5fe","last_reissued_at":"2026-07-05T02:47:40.607243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:47:40.607243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.07248","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:47:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MSF11MhJcbw82/BRaLpWSi/5osqMj0/sZ3CIjCcMrEDcwjbDjU34SH6zl2hjysITj4LZmLYRbHVXkrUDjYH3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:55:37.004236Z"},"content_sha256":"36d88a662af16fde10239cef9084cac1fcc4526690f772f9af65ac6be2bfc57e","schema_version":"1.0","event_id":"sha256:36d88a662af16fde10239cef9084cac1fcc4526690f772f9af65ac6be2bfc57e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:43PTHCIH57D6CRZOAWQ7C4HF2R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self Normalizing Flows","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Emiel Hoogeboom, Jorn W.T. Peters, Max Welling, Patrick Forr\\'e, Priyank Jaini, T. Anderson Keller","submitted_at":"2020-11-14T09:51:51Z","abstract_excerpt":"Efficient gradient computation of the Jacobian determinant term is a core problem in many machine learning settings, and especially so in the normalizing flow framework. Most proposed flow models therefore either restrict to a function class with easy evaluation of the Jacobian determinant, or an efficient estimator thereof. However, these restrictions limit the performance of such density models, frequently requiring significant depth to reach desired performance levels. In this work, we propose Self Normalizing Flows, a flexible framework for training normalizing flows by replacing expensive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.07248","kind":"arxiv","version":2},"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/2011.07248/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":"2026-07-05T02:47:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VuY9sHRl5CmaENnQqEpr3mkHQiE67SL/scfsyAhG12w4eUrQuFaVt5+sbCO2ZcH7P7zX4Vpmrp6wgpYdTAqRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:55:37.005133Z"},"content_sha256":"253601eeda3f85169a226d764daeeba928c5e4b7c79305d7a6576f2ad3ee03c2","schema_version":"1.0","event_id":"sha256:253601eeda3f85169a226d764daeeba928c5e4b7c79305d7a6576f2ad3ee03c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/bundle.json","state_url":"https://pith.science/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/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":"2026-08-04T17:55:37Z","links":{"resolver":"https://pith.science/pith/43PTHCIH57D6CRZOAWQ7C4HF2R","bundle":"https://pith.science/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/bundle.json","state":"https://pith.science/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/43PTHCIH57D6CRZOAWQ7C4HF2R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:43PTHCIH57D6CRZOAWQ7C4HF2R","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":"81d8e3d5b33449de3f016df21338e0398491da25d7fffe4335369b9dc694b47e","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-14T09:51:51Z","title_canon_sha256":"2c130d44bfe460a939e59450c1cb6559ee1a24b0cdeb0be36c1e7c2ba3ad6b0b"},"schema_version":"1.0","source":{"id":"2011.07248","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.07248","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"arxiv_version","alias_value":"2011.07248v2","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.07248","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_12","alias_value":"43PTHCIH57D6","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_16","alias_value":"43PTHCIH57D6CRZO","created_at":"2026-07-05T02:47:40Z"},{"alias_kind":"pith_short_8","alias_value":"43PTHCIH","created_at":"2026-07-05T02:47:40Z"}],"graph_snapshots":[{"event_id":"sha256:253601eeda3f85169a226d764daeeba928c5e4b7c79305d7a6576f2ad3ee03c2","target":"graph","created_at":"2026-07-05T02:47:40Z","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/2011.07248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efficient gradient computation of the Jacobian determinant term is a core problem in many machine learning settings, and especially so in the normalizing flow framework. Most proposed flow models therefore either restrict to a function class with easy evaluation of the Jacobian determinant, or an efficient estimator thereof. However, these restrictions limit the performance of such density models, frequently requiring significant depth to reach desired performance levels. In this work, we propose Self Normalizing Flows, a flexible framework for training normalizing flows by replacing expensive","authors_text":"Emiel Hoogeboom, Jorn W.T. Peters, Max Welling, Patrick Forr\\'e, Priyank Jaini, T. Anderson Keller","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-14T09:51:51Z","title":"Self Normalizing Flows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.07248","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":"sha256:36d88a662af16fde10239cef9084cac1fcc4526690f772f9af65ac6be2bfc57e","target":"record","created_at":"2026-07-05T02:47:40Z","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":"81d8e3d5b33449de3f016df21338e0398491da25d7fffe4335369b9dc694b47e","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-14T09:51:51Z","title_canon_sha256":"2c130d44bfe460a939e59450c1cb6559ee1a24b0cdeb0be36c1e7c2ba3ad6b0b"},"schema_version":"1.0","source":{"id":"2011.07248","kind":"arxiv","version":2}},"canonical_sha256":"e6df338907efc7e1472e05a1f170e5d44fc0a2fee4c063b0a310e87bf299b5fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6df338907efc7e1472e05a1f170e5d44fc0a2fee4c063b0a310e87bf299b5fe","first_computed_at":"2026-07-05T02:47:40.607243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:47:40.607243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/E9LhP92Ch6vaoEUyYEvAJ9X4L1I37UuVlsS0MhCj3v77bnzdFSGoemJMyNNAN+941cdAvJGJvHsbLYOWJiGAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:47:40.607744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.07248","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36d88a662af16fde10239cef9084cac1fcc4526690f772f9af65ac6be2bfc57e","sha256:253601eeda3f85169a226d764daeeba928c5e4b7c79305d7a6576f2ad3ee03c2"],"state_sha256":"773cbfe501fe08610360eb58cdc15b338a8479beeef53f45c1f44b8210bff0ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8L7ZzKLiA7Pbp6vLTtFjHGUMXHk6hjLzMLpYI5nKNmBh6Gy6j2ciDwmYEnsfs9wV4dRtcDNJF90L8Td/cMj+Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:55:37.011687Z","bundle_sha256":"571c8927b8dbc781845389e25e2b9e001c966c865bf488af8d6512243572fefe"}}