{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CX4CIZRNVBX35VPJDEUIEYWGHS","short_pith_number":"pith:CX4CIZRN","canonical_record":{"source":{"id":"2402.02346","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-04T05:03:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b0e4783de593887e8fcad45e211cb2575d4b98b293cf8e81fc9670ed5b20133b","abstract_canon_sha256":"f3a6c02a665722b7b213660413037cc8a17449b380ec59ec8866a40b3557e603"},"schema_version":"1.0"},"canonical_sha256":"15f824662da86fbed5e919288262c63cbfa10bc7cb9c8140986a4c3382d7e9c7","source":{"kind":"arxiv","id":"2402.02346","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02346","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02346v2","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02346","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_12","alias_value":"CX4CIZRNVBX3","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_16","alias_value":"CX4CIZRNVBX35VPJ","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_8","alias_value":"CX4CIZRN","created_at":"2026-07-05T12:06:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CX4CIZRNVBX35VPJDEUIEYWGHS","target":"record","payload":{"canonical_record":{"source":{"id":"2402.02346","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-04T05:03:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b0e4783de593887e8fcad45e211cb2575d4b98b293cf8e81fc9670ed5b20133b","abstract_canon_sha256":"f3a6c02a665722b7b213660413037cc8a17449b380ec59ec8866a40b3557e603"},"schema_version":"1.0"},"canonical_sha256":"15f824662da86fbed5e919288262c63cbfa10bc7cb9c8140986a4c3382d7e9c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:58.601304Z","signature_b64":"RiCZ50BZeIESruDFio+wSucrItIkcmvRUzFLK21S0RVMmbJ1iPo3jenhVVg+xe9nku5I/eQoVAhUjDCac/7rDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15f824662da86fbed5e919288262c63cbfa10bc7cb9c8140986a4c3382d7e9c7","last_reissued_at":"2026-07-05T12:06:58.600770Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:58.600770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.02346","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":"2026-07-05T12:06:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m9u5Pvw8Ths6L/l9aPCCZn3y9YK5JUwDsEucoH0GpcFwKWXluCP6kHcEcEp8jt7qKeklGhCP+3lYxGND7dLBDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:39:57.503647Z"},"content_sha256":"a3bf65901faea95d79cd3367d8e99599a947b1c9838fd35e9046bdb7b5b02f42","schema_version":"1.0","event_id":"sha256:a3bf65901faea95d79cd3367d8e99599a947b1c9838fd35e9046bdb7b5b02f42"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CX4CIZRNVBX35VPJDEUIEYWGHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Closed-Loop Unsupervised Representation Disentanglement with $\\beta$-VAE Distillation and Diffusion Probabilistic Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Baao Xie, Bohan Li, Jinming Liu, Tao Yang, Wenjun Zeng, Wenyao Zhang, Xin Jin, Ziqiang Li","submitted_at":"2024-02-04T05:03:22Z","abstract_excerpt":"Representation disentanglement may help AI fundamentally understand the real world and thus benefit both discrimination and generation tasks. It currently has at least three unresolved core issues: (i) heavy reliance on label annotation and synthetic data -- causing poor generalization on natural scenarios; (ii) heuristic/hand-craft disentangling constraints make it hard to adaptively achieve an optimal training trade-off; (iii) lacking reasonable evaluation metric, especially for the real label-free data. To address these challenges, we propose a \\textbf{C}losed-\\textbf{L}oop unsupervised rep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02346","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/2402.02346/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":"2026-07-05T12:06:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SV2C3WKg3JmzNkwK0bOa/EWDxCjYvOYJ2RPAjRkpJpgQkuYRViq8VRQCE1sSlX9YFCFQBxdE17svKvUwlW59Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:39:57.504161Z"},"content_sha256":"ef04c31a380b0133fd19e68a9517aa12ff331bf823af433b9d01791ec2d7f84c","schema_version":"1.0","event_id":"sha256:ef04c31a380b0133fd19e68a9517aa12ff331bf823af433b9d01791ec2d7f84c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/bundle.json","state_url":"https://pith.science/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/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":"2026-08-23T00:39:57Z","links":{"resolver":"https://pith.science/pith/CX4CIZRNVBX35VPJDEUIEYWGHS","bundle":"https://pith.science/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/bundle.json","state":"https://pith.science/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CX4CIZRNVBX35VPJDEUIEYWGHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CX4CIZRNVBX35VPJDEUIEYWGHS","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":"f3a6c02a665722b7b213660413037cc8a17449b380ec59ec8866a40b3557e603","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-04T05:03:22Z","title_canon_sha256":"b0e4783de593887e8fcad45e211cb2575d4b98b293cf8e81fc9670ed5b20133b"},"schema_version":"1.0","source":{"id":"2402.02346","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02346","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02346v2","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02346","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_12","alias_value":"CX4CIZRNVBX3","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_16","alias_value":"CX4CIZRNVBX35VPJ","created_at":"2026-07-05T12:06:58Z"},{"alias_kind":"pith_short_8","alias_value":"CX4CIZRN","created_at":"2026-07-05T12:06:58Z"}],"graph_snapshots":[{"event_id":"sha256:ef04c31a380b0133fd19e68a9517aa12ff331bf823af433b9d01791ec2d7f84c","target":"graph","created_at":"2026-07-05T12:06:58Z","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/2402.02346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Representation disentanglement may help AI fundamentally understand the real world and thus benefit both discrimination and generation tasks. It currently has at least three unresolved core issues: (i) heavy reliance on label annotation and synthetic data -- causing poor generalization on natural scenarios; (ii) heuristic/hand-craft disentangling constraints make it hard to adaptively achieve an optimal training trade-off; (iii) lacking reasonable evaluation metric, especially for the real label-free data. To address these challenges, we propose a \\textbf{C}losed-\\textbf{L}oop unsupervised rep","authors_text":"Baao Xie, Bohan Li, Jinming Liu, Tao Yang, Wenjun Zeng, Wenyao Zhang, Xin Jin, Ziqiang Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-04T05:03:22Z","title":"Closed-Loop Unsupervised Representation Disentanglement with $\\beta$-VAE Distillation and Diffusion Probabilistic Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02346","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:a3bf65901faea95d79cd3367d8e99599a947b1c9838fd35e9046bdb7b5b02f42","target":"record","created_at":"2026-07-05T12:06:58Z","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":"f3a6c02a665722b7b213660413037cc8a17449b380ec59ec8866a40b3557e603","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-04T05:03:22Z","title_canon_sha256":"b0e4783de593887e8fcad45e211cb2575d4b98b293cf8e81fc9670ed5b20133b"},"schema_version":"1.0","source":{"id":"2402.02346","kind":"arxiv","version":2}},"canonical_sha256":"15f824662da86fbed5e919288262c63cbfa10bc7cb9c8140986a4c3382d7e9c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15f824662da86fbed5e919288262c63cbfa10bc7cb9c8140986a4c3382d7e9c7","first_computed_at":"2026-07-05T12:06:58.600770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:58.600770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RiCZ50BZeIESruDFio+wSucrItIkcmvRUzFLK21S0RVMmbJ1iPo3jenhVVg+xe9nku5I/eQoVAhUjDCac/7rDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:58.601304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.02346","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3bf65901faea95d79cd3367d8e99599a947b1c9838fd35e9046bdb7b5b02f42","sha256:ef04c31a380b0133fd19e68a9517aa12ff331bf823af433b9d01791ec2d7f84c"],"state_sha256":"0385d6c6dafc1b7481e96a5a71ee2b9513c1f576861bde212437824f70ae3a5e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LkIrpXcfQCPiUyGlcofkyKEy1QE+MEYdM6K1cJ7w4IQlWEi9fKJYXpgH3929Bm0jlUEfT4SlUDLofbLGU4EfDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T00:39:57.508002Z","bundle_sha256":"bf184a6f9d18cb132fb696e40c6021ffe7a2fa6e9009827682d88ed764b3d5e3"}}