{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UASQTWL2TF23KL2XBY6LQXPGEC","short_pith_number":"pith:UASQTWL2","canonical_record":{"source":{"id":"2409.09011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-13T17:40:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0ff23a04c42356018f6364cec532eb70b97bdc69c553ad9af0082a71bbced8f2","abstract_canon_sha256":"7b0f95630ec75d3d16b6e9432d287016c4a145f4d141e804965ad546e7e56a0a"},"schema_version":"1.0"},"canonical_sha256":"a02509d97a9975b52f570e3cb85de62082cca4dbcfa67e31b96636e3c9e9ab50","source":{"kind":"arxiv","id":"2409.09011","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.09011","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.09011v1","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.09011","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_12","alias_value":"UASQTWL2TF23","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_16","alias_value":"UASQTWL2TF23KL2X","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_8","alias_value":"UASQTWL2","created_at":"2026-07-05T09:06:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UASQTWL2TF23KL2XBY6LQXPGEC","target":"record","payload":{"canonical_record":{"source":{"id":"2409.09011","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-13T17:40:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0ff23a04c42356018f6364cec532eb70b97bdc69c553ad9af0082a71bbced8f2","abstract_canon_sha256":"7b0f95630ec75d3d16b6e9432d287016c4a145f4d141e804965ad546e7e56a0a"},"schema_version":"1.0"},"canonical_sha256":"a02509d97a9975b52f570e3cb85de62082cca4dbcfa67e31b96636e3c9e9ab50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:50.766978Z","signature_b64":"EG7ymqnLVQ2Hw32X1iVKmOFvRBxaAzsyMKteFPl6fWEeI97MrbB1HxMfhO+ik+BteqKQOiLzWXDG+PmzxxTYAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a02509d97a9975b52f570e3cb85de62082cca4dbcfa67e31b96636e3c9e9ab50","last_reissued_at":"2026-07-05T09:06:50.766567Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:50.766567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.09011","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lcS90ffvUz6lmPKdYzjFJPR4mg5fp2krQJjz6MYAPP5mPnWo+yQBbbnN3PGCNaknt8LyQFkNsfEmReg5GAHKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:16:27.968888Z"},"content_sha256":"dc0a4d3184e490baa501fb1bab4fc0c2d696c640df9feef65bd5047c4927f352","schema_version":"1.0","event_id":"sha256:dc0a4d3184e490baa501fb1bab4fc0c2d696c640df9feef65bd5047c4927f352"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UASQTWL2TF23KL2XBY6LQXPGEC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"Alex Endert, Donald Bertucci","submitted_at":"2024-09-13T17:40:01Z","abstract_excerpt":"Variational Autoencoders are widespread in Machine Learning, but are typically explained with dense math notation or static code examples. This paper presents VAE Explainer, an interactive Variational Autoencoder running in the browser to supplement existing static documentation (e.g., Keras Code Examples). VAE Explainer adds interactions to the VAE summary with interactive model inputs, latent space, and output. VAE Explainer connects the high-level understanding with the implementation: annotated code and a live computational graph. The VAE Explainer interactive visualization is live at http"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.09011","kind":"arxiv","version":1},"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/2409.09011/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":"2026-07-05T09:06:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTRUfbJdRi+Lkqe66NS5CDrhjx4/tVQ2zgyu40GNEdBLO2Etbh0GB6jccLV7C4BVgMu5yVP1a8mPQPoWCBI1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:16:27.969437Z"},"content_sha256":"8f0bc7b746faa5c6051149e0ee965528ade7978003cf42c511fbdc3854d4cc59","schema_version":"1.0","event_id":"sha256:8f0bc7b746faa5c6051149e0ee965528ade7978003cf42c511fbdc3854d4cc59"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UASQTWL2TF23KL2XBY6LQXPGEC/bundle.json","state_url":"https://pith.science/pith/UASQTWL2TF23KL2XBY6LQXPGEC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UASQTWL2TF23KL2XBY6LQXPGEC/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":"2026-08-07T22:16:27Z","links":{"resolver":"https://pith.science/pith/UASQTWL2TF23KL2XBY6LQXPGEC","bundle":"https://pith.science/pith/UASQTWL2TF23KL2XBY6LQXPGEC/bundle.json","state":"https://pith.science/pith/UASQTWL2TF23KL2XBY6LQXPGEC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UASQTWL2TF23KL2XBY6LQXPGEC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UASQTWL2TF23KL2XBY6LQXPGEC","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":"7b0f95630ec75d3d16b6e9432d287016c4a145f4d141e804965ad546e7e56a0a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-13T17:40:01Z","title_canon_sha256":"0ff23a04c42356018f6364cec532eb70b97bdc69c553ad9af0082a71bbced8f2"},"schema_version":"1.0","source":{"id":"2409.09011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.09011","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.09011v1","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.09011","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_12","alias_value":"UASQTWL2TF23","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_16","alias_value":"UASQTWL2TF23KL2X","created_at":"2026-07-05T09:06:50Z"},{"alias_kind":"pith_short_8","alias_value":"UASQTWL2","created_at":"2026-07-05T09:06:50Z"}],"graph_snapshots":[{"event_id":"sha256:8f0bc7b746faa5c6051149e0ee965528ade7978003cf42c511fbdc3854d4cc59","target":"graph","created_at":"2026-07-05T09:06:50Z","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/2409.09011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Variational Autoencoders are widespread in Machine Learning, but are typically explained with dense math notation or static code examples. This paper presents VAE Explainer, an interactive Variational Autoencoder running in the browser to supplement existing static documentation (e.g., Keras Code Examples). VAE Explainer adds interactions to the VAE summary with interactive model inputs, latent space, and output. VAE Explainer connects the high-level understanding with the implementation: annotated code and a live computational graph. The VAE Explainer interactive visualization is live at http","authors_text":"Alex Endert, Donald Bertucci","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-13T17:40:01Z","title":"VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.09011","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:dc0a4d3184e490baa501fb1bab4fc0c2d696c640df9feef65bd5047c4927f352","target":"record","created_at":"2026-07-05T09:06:50Z","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":"7b0f95630ec75d3d16b6e9432d287016c4a145f4d141e804965ad546e7e56a0a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-13T17:40:01Z","title_canon_sha256":"0ff23a04c42356018f6364cec532eb70b97bdc69c553ad9af0082a71bbced8f2"},"schema_version":"1.0","source":{"id":"2409.09011","kind":"arxiv","version":1}},"canonical_sha256":"a02509d97a9975b52f570e3cb85de62082cca4dbcfa67e31b96636e3c9e9ab50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a02509d97a9975b52f570e3cb85de62082cca4dbcfa67e31b96636e3c9e9ab50","first_computed_at":"2026-07-05T09:06:50.766567Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:50.766567Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EG7ymqnLVQ2Hw32X1iVKmOFvRBxaAzsyMKteFPl6fWEeI97MrbB1HxMfhO+ik+BteqKQOiLzWXDG+PmzxxTYAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:50.766978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.09011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc0a4d3184e490baa501fb1bab4fc0c2d696c640df9feef65bd5047c4927f352","sha256:8f0bc7b746faa5c6051149e0ee965528ade7978003cf42c511fbdc3854d4cc59"],"state_sha256":"08d9ecb93e5b4b5041cb1e13909618d1c3bdb33a8ef60806dc815203e50d2770"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cVUJzVrWQpEUGCM72/iDmOuUvbqT4Aa2KMKCiNFtp6u3qdO4GkrLce0htWSAUHbjphFgk2K7W8DQW+a2ife3CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T22:16:27.973961Z","bundle_sha256":"8f81d98441ba6d2216b46cada7b31850faf538377e623f372224a335d8d18b95"}}