{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:35TQ3AI4DEGRMNDAYZKOJFVZGN","short_pith_number":"pith:35TQ3AI4","canonical_record":{"source":{"id":"1711.09159","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-24T22:28:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a6013f8ede934bf812fdbc34e8bc064b2e428a2861ca3accd49b5d426cf67a89","abstract_canon_sha256":"e937d75cd60a5d61b430ac98aa5269cacd41200e9258e43a56390f22fcbc8588"},"schema_version":"1.0"},"canonical_sha256":"df670d811c190d163460c654e496b9334e81fb3411fac12ca682da13fc525ba9","source":{"kind":"arxiv","id":"1711.09159","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09159","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09159v1","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09159","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"pith_short_12","alias_value":"35TQ3AI4DEGR","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"35TQ3AI4DEGRMNDA","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"35TQ3AI4","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:35TQ3AI4DEGRMNDAYZKOJFVZGN","target":"record","payload":{"canonical_record":{"source":{"id":"1711.09159","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-24T22:28:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a6013f8ede934bf812fdbc34e8bc064b2e428a2861ca3accd49b5d426cf67a89","abstract_canon_sha256":"e937d75cd60a5d61b430ac98aa5269cacd41200e9258e43a56390f22fcbc8588"},"schema_version":"1.0"},"canonical_sha256":"df670d811c190d163460c654e496b9334e81fb3411fac12ca682da13fc525ba9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:40.386193Z","signature_b64":"GWowmkv/PxVJJ/Ik0Ye01oUbVnikZcTvnN0lyrTvdWwzMHTqUN5XM3bHpafiWqCfsugtlKdijp9uEbXPEd5rBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df670d811c190d163460c654e496b9334e81fb3411fac12ca682da13fc525ba9","last_reissued_at":"2026-05-18T00:29:40.385435Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:40.385435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.09159","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":"2026-05-18T00:29:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qO78h5jBgA9huE11ACBC2MnzXHyHMJlPlLc97n4wIQ1QYOnxXwNAOfb5m0qBLrjVTmGtJo3IojNssK6ES1oODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:22:18.494998Z"},"content_sha256":"c6e2b9aa08981287a74c79403c11ada2fed8ea06796083fc39797b77a5668788","schema_version":"1.0","event_id":"sha256:c6e2b9aa08981287a74c79403c11ada2fed8ea06796083fc39797b77a5668788"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:35TQ3AI4DEGRMNDAYZKOJFVZGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Momchil Peychev, Petar Veli\\v{c}kovi\\'c, Pietro Li\\`o","submitted_at":"2017-11-24T22:28:48Z","abstract_excerpt":"The notion of disentangled autoencoders was proposed as an extension to the variational autoencoder by introducing a disentanglement parameter $\\beta$, controlling the learning pressure put on the possible underlying latent representations. For certain values of $\\beta$ this kind of autoencoders is capable of encoding independent input generative factors in separate elements of the code, leading to a more interpretable and predictable model behaviour. In this paper we quantify the effects of the parameter $\\beta$ on the model performance and disentanglement. After training multiple models with"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09159","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":""},"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":"2026-05-18T00:29:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CuELS6/3QHUWg+74JWCB/pScU3fB0hFpK0TWq8H3w4BCgrEgF9FB7FcRvEtX6XDk8oqZqTlFQZMCiplbQ/FQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T18:22:18.495612Z"},"content_sha256":"65497d49fbbdf01f118cad4a5a28c9d267bb5e3cd310011e8e4daf17acab41a2","schema_version":"1.0","event_id":"sha256:65497d49fbbdf01f118cad4a5a28c9d267bb5e3cd310011e8e4daf17acab41a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/bundle.json","state_url":"https://pith.science/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/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":"2026-06-03T18:22:18Z","links":{"resolver":"https://pith.science/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN","bundle":"https://pith.science/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/bundle.json","state":"https://pith.science/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/35TQ3AI4DEGRMNDAYZKOJFVZGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:35TQ3AI4DEGRMNDAYZKOJFVZGN","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":"e937d75cd60a5d61b430ac98aa5269cacd41200e9258e43a56390f22fcbc8588","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-24T22:28:48Z","title_canon_sha256":"a6013f8ede934bf812fdbc34e8bc064b2e428a2861ca3accd49b5d426cf67a89"},"schema_version":"1.0","source":{"id":"1711.09159","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09159","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09159v1","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09159","created_at":"2026-05-18T00:29:40Z"},{"alias_kind":"pith_short_12","alias_value":"35TQ3AI4DEGR","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"35TQ3AI4DEGRMNDA","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"35TQ3AI4","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:65497d49fbbdf01f118cad4a5a28c9d267bb5e3cd310011e8e4daf17acab41a2","target":"graph","created_at":"2026-05-18T00:29:40Z","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"},"paper":{"abstract_excerpt":"The notion of disentangled autoencoders was proposed as an extension to the variational autoencoder by introducing a disentanglement parameter $\\beta$, controlling the learning pressure put on the possible underlying latent representations. For certain values of $\\beta$ this kind of autoencoders is capable of encoding independent input generative factors in separate elements of the code, leading to a more interpretable and predictable model behaviour. In this paper we quantify the effects of the parameter $\\beta$ on the model performance and disentanglement. After training multiple models with","authors_text":"Momchil Peychev, Petar Veli\\v{c}kovi\\'c, Pietro Li\\`o","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-24T22:28:48Z","title":"Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09159","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:c6e2b9aa08981287a74c79403c11ada2fed8ea06796083fc39797b77a5668788","target":"record","created_at":"2026-05-18T00:29:40Z","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":"e937d75cd60a5d61b430ac98aa5269cacd41200e9258e43a56390f22fcbc8588","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-11-24T22:28:48Z","title_canon_sha256":"a6013f8ede934bf812fdbc34e8bc064b2e428a2861ca3accd49b5d426cf67a89"},"schema_version":"1.0","source":{"id":"1711.09159","kind":"arxiv","version":1}},"canonical_sha256":"df670d811c190d163460c654e496b9334e81fb3411fac12ca682da13fc525ba9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df670d811c190d163460c654e496b9334e81fb3411fac12ca682da13fc525ba9","first_computed_at":"2026-05-18T00:29:40.385435Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:40.385435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GWowmkv/PxVJJ/Ik0Ye01oUbVnikZcTvnN0lyrTvdWwzMHTqUN5XM3bHpafiWqCfsugtlKdijp9uEbXPEd5rBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:40.386193Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09159","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6e2b9aa08981287a74c79403c11ada2fed8ea06796083fc39797b77a5668788","sha256:65497d49fbbdf01f118cad4a5a28c9d267bb5e3cd310011e8e4daf17acab41a2"],"state_sha256":"259845ade07370b3b470832b736f82bf27cd4c2eeac5106277d36e837c5e2680"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0gdWaT11k996Czd8D4SAMl7PdKUx5diturSUVvEoUibSl0czM19gqX3sP764Kbc8nbMzJ3jjsYgg910GyiwODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T18:22:18.497716Z","bundle_sha256":"076d7ca14073ddf8790f4e11106bb1e4a2d267f1c0b941bb6b5875baaa382413"}}