{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:C4JKVEZFKF7UBO4R5ONLJXCIWR","short_pith_number":"pith:C4JKVEZF","canonical_record":{"source":{"id":"2102.00892","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-01T15:05:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"01add0d1c545f3e3901cc5f1e277474b34aed7119b4160172c84e14ad3987ab0","abstract_canon_sha256":"1e48ecf56abc8b5c9f39385fdd9eb90229c5585d5cf16baf731ad8c389f6f725"},"schema_version":"1.0"},"canonical_sha256":"1712aa9325517f40bb91eb9ab4dc48b456cb6d00f52bfb3a04169fbc8c6a75c0","source":{"kind":"arxiv","id":"2102.00892","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00892","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00892v1","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00892","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"C4JKVEZFKF7U","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_16","alias_value":"C4JKVEZFKF7UBO4R","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_8","alias_value":"C4JKVEZF","created_at":"2026-07-05T02:11:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:C4JKVEZFKF7UBO4R5ONLJXCIWR","target":"record","payload":{"canonical_record":{"source":{"id":"2102.00892","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-01T15:05:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"01add0d1c545f3e3901cc5f1e277474b34aed7119b4160172c84e14ad3987ab0","abstract_canon_sha256":"1e48ecf56abc8b5c9f39385fdd9eb90229c5585d5cf16baf731ad8c389f6f725"},"schema_version":"1.0"},"canonical_sha256":"1712aa9325517f40bb91eb9ab4dc48b456cb6d00f52bfb3a04169fbc8c6a75c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:11:16.222516Z","signature_b64":"wIEOV2wLaby/he//pS1DarqPE32C2e5dzQyWwk3d4VcIYW4Oxr5IyshqrR6q9o3mQFTcVm6mD6gi/ceV0CpmAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1712aa9325517f40bb91eb9ab4dc48b456cb6d00f52bfb3a04169fbc8c6a75c0","last_reissued_at":"2026-07-05T02:11:16.222057Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:11:16.222057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.00892","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":"2026-07-05T02:11:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GWN/3S0ibMyYE4LRnEPVTVn3UKwJSP5jAcU177qsieZyrtjyfyTtANeJ/49X7zKByp/HBvX/4HCmdJv1mDDTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:03:05.100842Z"},"content_sha256":"7ca06be5c6a8ccc54cefcb716939570a23bba848e22a264c78b2a181421d49a2","schema_version":"1.0","event_id":"sha256:7ca06be5c6a8ccc54cefcb716939570a23bba848e22a264c78b2a181421d49a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:C4JKVEZFKF7UBO4R5ONLJXCIWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Aryo Lotfi, Mahdieh Soleymani Baghshah, Sina Hajimiri","submitted_at":"2021-02-01T15:05:24Z","abstract_excerpt":"In recent years, extending variational autoencoder's framework to learn disentangled representations has received much attention. We address this problem by proposing a framework capable of disentangling class-related and class-independent factors of variation in data. Our framework employs an attention mechanism in its latent space in order to improve the process of extracting class-related factors from data. We also deal with the multimodality of data distribution by utilizing mixture models as learnable prior distributions, as well as incorporating the Bhattacharyya coefficient in the objec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00892","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/2102.00892/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":"2026-07-05T02:11:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8u1ZoTLQavmTaLmHaxafm0EiYXw8bjJCqA0xOhK2OcAz+CPhr01QJOn7DN7uPnrEyAxX2VVRQqjGyLkCESgiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:03:05.101335Z"},"content_sha256":"3880ba4feb9e991c42958c71be9b3f7cafe9a16bda35a5d84757731be2253c34","schema_version":"1.0","event_id":"sha256:3880ba4feb9e991c42958c71be9b3f7cafe9a16bda35a5d84757731be2253c34"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/bundle.json","state_url":"https://pith.science/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/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":"2026-08-08T15:03:05Z","links":{"resolver":"https://pith.science/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR","bundle":"https://pith.science/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/bundle.json","state":"https://pith.science/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C4JKVEZFKF7UBO4R5ONLJXCIWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:C4JKVEZFKF7UBO4R5ONLJXCIWR","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":"1e48ecf56abc8b5c9f39385fdd9eb90229c5585d5cf16baf731ad8c389f6f725","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-01T15:05:24Z","title_canon_sha256":"01add0d1c545f3e3901cc5f1e277474b34aed7119b4160172c84e14ad3987ab0"},"schema_version":"1.0","source":{"id":"2102.00892","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00892","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00892v1","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00892","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"C4JKVEZFKF7U","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_16","alias_value":"C4JKVEZFKF7UBO4R","created_at":"2026-07-05T02:11:16Z"},{"alias_kind":"pith_short_8","alias_value":"C4JKVEZF","created_at":"2026-07-05T02:11:16Z"}],"graph_snapshots":[{"event_id":"sha256:3880ba4feb9e991c42958c71be9b3f7cafe9a16bda35a5d84757731be2253c34","target":"graph","created_at":"2026-07-05T02:11:16Z","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/2102.00892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, extending variational autoencoder's framework to learn disentangled representations has received much attention. We address this problem by proposing a framework capable of disentangling class-related and class-independent factors of variation in data. Our framework employs an attention mechanism in its latent space in order to improve the process of extracting class-related factors from data. We also deal with the multimodality of data distribution by utilizing mixture models as learnable prior distributions, as well as incorporating the Bhattacharyya coefficient in the objec","authors_text":"Aryo Lotfi, Mahdieh Soleymani Baghshah, Sina Hajimiri","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-01T15:05:24Z","title":"Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00892","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":"sha256:7ca06be5c6a8ccc54cefcb716939570a23bba848e22a264c78b2a181421d49a2","target":"record","created_at":"2026-07-05T02:11:16Z","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":"1e48ecf56abc8b5c9f39385fdd9eb90229c5585d5cf16baf731ad8c389f6f725","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-02-01T15:05:24Z","title_canon_sha256":"01add0d1c545f3e3901cc5f1e277474b34aed7119b4160172c84e14ad3987ab0"},"schema_version":"1.0","source":{"id":"2102.00892","kind":"arxiv","version":1}},"canonical_sha256":"1712aa9325517f40bb91eb9ab4dc48b456cb6d00f52bfb3a04169fbc8c6a75c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1712aa9325517f40bb91eb9ab4dc48b456cb6d00f52bfb3a04169fbc8c6a75c0","first_computed_at":"2026-07-05T02:11:16.222057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:11:16.222057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wIEOV2wLaby/he//pS1DarqPE32C2e5dzQyWwk3d4VcIYW4Oxr5IyshqrR6q9o3mQFTcVm6mD6gi/ceV0CpmAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:11:16.222516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.00892","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ca06be5c6a8ccc54cefcb716939570a23bba848e22a264c78b2a181421d49a2","sha256:3880ba4feb9e991c42958c71be9b3f7cafe9a16bda35a5d84757731be2253c34"],"state_sha256":"fa3fe146d29d92ccc9120ed1629899892f1c2d8990373ade8579f0a7dc37e9cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pQSKuTn22fdsQrtt12xK6/zoMyFu99W5jryMJ3x5WktCSOWxTM+1+h1sxHdwIByaAR+Mzc/F37ze/Nos3p91CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:03:05.105864Z","bundle_sha256":"3a04adbd92709a2bce8e7a1e615cf876bd77e5a7cd97a6a2b04fdb2270a5223b"}}