{"as_of":"2026-08-14T13:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca75e254cd9fedbff15e00d764f1b4504827ec804a82701c8f69cd500b8b3b08","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:31:05.351462Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:15:00.055031Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.02619","snapshot_observed_at":"2026-08-03T05:15:00.055031Z","title":"Yarman-Vural.L-V AE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.02948","last_updated":"2026-07-03T15:10:40Z","snapshot_observed_at":"2026-08-08T17:32:42.581325Z","submitted_at":"2026-02-03T00:46:29Z","title":"Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T05:15:00.055031Z"},"links":{"cited_paper":"/paper/2507.02619","citing_paper":"/paper/2602.02948"},"observation_digest":"sha256:8575c9ed9caefef981bb2a3dd449d7870683ce48f099fa1625899c14472eafbc","observation_id":"a45baece-7b70-401a-852f-f31a94cad235","resolution":{"observed_at":"2026-08-03T05:15:00.055031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.02619/citation-record","integrity":"/paper/2507.02619/integrity","json":"/paper/2507.02619/citation-record.json","paper":"/paper/2507.02619"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.353041Z","title":"ISA-The Instrumentation, Sys- tems and Automation Society 14","venue":null,"work_id":"542d9c8b-1aca-4aaf-a6e1-62bb743a8c4f","year":2006},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.971300Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:d00c7f6fe7a46aabe91618520bae9d27dc052ef165bfb8945c0420e7a32c4ba0","observation_id":"06394c54-6344-4fde-8fb6-0755a3345b3b","resolution":{"observed_at":"2026-08-06T20:31:06.358826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.335556Z","title":"IEEE transactions on pattern analysis and machine intelligence 35(8):1798– 1828","venue":null,"work_id":"29c16eba-a1ca-40a1-8394-dcc43981dfbc","year":2013},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.977373Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:cec007abaa14f6f02a0973cd4db8c38eb5ee09d1753ed61e781bba8fe82e1b72","observation_id":"08a2c46f-3d55-4043-89dc-973ddfa1e721","resolution":{"observed_at":"2026-08-06T20:31:06.340968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.318219Z","title":"arXiv preprint arXiv:180403599","venue":null,"work_id":"af045cae-973c-464b-806d-1f2258adde99","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.983300Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:bf08890b8d88efa870c224009abcd10b60713704a9019ad764325d29a8bc79e6","observation_id":"7aa4f106-7660-4880-8509-83917680174b","resolution":{"observed_at":"2026-08-06T20:31:06.323002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.301034Z","title":"IEEE Transactions on Neural Networks and Learning Systems","venue":null,"work_id":"541d716c-35fe-4331-ad38-34d3b05409ba","year":2022},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.988228Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:87b70988af1bf82209be967eb0444c3edf57f6222e4154be18ec05e67589ce75","observation_id":"8b150251-5429-4711-a4e3-c6c7a4270a34","resolution":{"observed_at":"2026-08-06T20:31:06.306003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.281504Z","title":"In: Advances in Neural Information Processing Systems, pp 2610– 2620","venue":null,"work_id":"5cdf2519-c8e3-4fa7-a812-c984606de911","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.994147Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:7db9daa551bf08719b6821f8dffdd7bc21a21b71276fa6910ea8a83e01bbe6cb","observation_id":"64d3240b-c9a9-47b8-87ed-f74246820812","resolution":{"observed_at":"2026-08-06T20:31:06.288860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.263479Z","title":"In: Advances in neural infor- mation processing systems, pp 2172–2180","venue":null,"work_id":"a1a168f1-0564-4c9f-a7e6-6668d4ddfe57","year":2016},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:04.999859Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:3e7bb83a39ecbd38443c40ec01bfe6830a00cf5e78927dc2c5807035efc7a179","observation_id":"5f4490b7-1de2-46ab-a2ad-0e21ab093cfd","resolution":{"observed_at":"2026-08-06T20:31:06.268736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.247990Z","title":"In: Advances in neural information processing systems, pp 4414–4423","venue":null,"work_id":"bef7b860-28b2-4e49-9215-efd16fe266f9","year":2017},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.006725Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:546446c61544ad8a35ec6b82256670fb82d6816d8c613f371a8958dbd41e07d9","observation_id":"669129f2-4620-4c26-a490-089db4e8c57a","resolution":{"observed_at":"2026-08-06T20:31:06.252897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.230540Z","title":"arXiv preprint arXiv:190809961","venue":null,"work_id":"a1e61744-b0e5-48dd-9afa-283f8c02e3d6","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.011867Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:a9bbe0f19c831126bd9e34b8f0248ec0814cd9f163c7fbcca791a94103b8cb51","observation_id":"2288ff66-acf4-43f9-85c2-76e8d675aaef","resolution":{"observed_at":"2026-08-06T20:31:06.237042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.213678Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 10729–10736","venue":null,"work_id":"6bd8516d-4dc6-46e4-b56b-4f96a4524452","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.016935Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:8890d2bae8f9e0160e2e075875dbaa706986cc30001160a84f891425367c6373","observation_id":"1876d415-0ab8-4952-a5a2-bdd7a7a89964","resolution":{"observed_at":"2026-08-06T20:31:06.219168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.191833Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 7930–7938","venue":null,"work_id":"8cb90f08-9915-4629-b917-981c38118e6f","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.024360Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:09cabd9c5133ac7af11872204ab34a7eeb4c867c6ede5762c8a91f7fcd8e23e5","observation_id":"99e4751a-da54-4171-a8a3-0d8f87427bcb","resolution":{"observed_at":"2026-08-06T20:31:06.198443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.172750Z","title":"arXiv preprint arXiv:211214278","venue":null,"work_id":"d94ac1cc-8ce3-4268-ba64-ccf204e2a73d","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.029061Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:8c4f3141f07988b972f010726bfea81bddaf76b6b092271c4e78e108a45d42f6","observation_id":"caf0141a-56da-4cac-91ce-8cfb070a5eb8","resolution":{"observed_at":"2026-08-06T20:31:06.178395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.156633Z","title":"Image and Vision Computing 135:104686","venue":null,"work_id":"26250949-8ed8-4627-bdf3-1c0cca564a49","year":2023},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.034723Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:180a0309c95114bb8e85dd119a87d7a2b3fe267c3ef408b44fa46053b93aeae4","observation_id":"8b68222b-c6c3-4917-b844-d5e8456d7a34","resolution":{"observed_at":"2026-08-06T20:31:06.161349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.140847Z","title":"Advances in Neural Information Processing Systems 32","venue":null,"work_id":"89961365-7ba5-4f5e-acfc-6855b1ea62ea","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.168834Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:85a06d245ee43a9cef6f99111325ea61ddb38cc5296a967cef3430ff6b4316a7","observation_id":"28d6d953-e248-4701-942b-18ab3820722a","resolution":{"observed_at":"2026-08-06T20:31:06.145484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.124123Z","title":"In: International conference on learning repre- sentations","venue":null,"work_id":"cc54e117-bb28-4a5b-abd1-b7bd53b30118","year":2016},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.175683Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:33c7684c5f48c7afa5da710c4cba42f7a85e8768fada4774029032824ab74b16","observation_id":"d2d9e7b3-29d7-4afe-bfb9-94fc3fd35a6c","resolution":{"observed_at":"2026-08-06T20:31:06.129207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.106572Z","title":"arXiv preprint arXiv:181202230","venue":null,"work_id":"4b406e93-a718-42bb-9470-4f50081d9741","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.181336Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:11b69f7e86b1a67da018444917b81dcf258cceb7ab97669f057aa0689e2286bb","observation_id":"31253943-5950-463a-b853-8a445be7cb00","resolution":{"observed_at":"2026-08-06T20:31:06.111857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.089894Z","title":"In: Advances in Neural Information Processing Systems, pp 517–526","venue":null,"work_id":"050f9dcc-63c8-427d-ace3-ea571eab859a","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.189052Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:a9ddffade0bd4376b359301d59fda95262fa16edf6ae983732ce1205be19a519","observation_id":"dbdc36a8-aa1b-48a8-81d1-2d58b7eeef8b","resolution":{"observed_at":"2026-08-06T20:31:06.095332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.074364Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 4401–4410","venue":null,"work_id":"17a9437d-2552-4cee-a660-c8cb7650e0e4","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.194437Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:50ceff71fd12a0e04407974c3b21dbe480d3f504a99e35dac72e3aa6acb42a24","observation_id":"553db9c0-ee41-4065-94d1-f5cad61049e0","resolution":{"observed_at":"2026-08-06T20:31:06.079261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.057625Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 8110–8119","venue":null,"work_id":"033abff8-76cc-4f1f-ae8f-e362230f25e9","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.199291Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:e148bd113b94490d4f9924cff8c58f1394bb2ef780a113c32d4f1dc984cc5634","observation_id":"1063f2ae-4cab-4ccd-887a-5a8bce69769e","resolution":{"observed_at":"2026-08-06T20:31:06.062850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.040666Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7482–7491","venue":null,"work_id":"422ab230-7d15-4d39-9ffc-9033918df8fd","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.204187Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:b143f7ef73d67ac73cbb654fe425402e4b2ef9820b9fee7b6edbcb7938fbcea5","observation_id":"e8e97dde-fd5c-4a47-bdb1-4cd0d9e8d310","resolution":{"observed_at":"2026-08-06T20:31:06.045882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.023918Z","title":"arXiv preprint arXiv:180205983","venue":null,"work_id":"687dcd95-068b-421e-aa8d-bcde36806142","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.209322Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:b31c000c2aa8150c2de8199b1904572b906dafa5804abe4d35ed5b399d055738","observation_id":"606f8d46-c7c5-4f2e-b162-e3203e6d2314","resolution":{"observed_at":"2026-08-06T20:31:06.029149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:06.004639Z","title":"arXiv preprint arXiv:14126980 15","venue":null,"work_id":"0cb6007b-0f80-47c6-956b-3262b1810e12","year":2014},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.215316Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:86a970732d2f80f099649c334881cd384bd63ef5988749c280337dffdccc2197","observation_id":"2e3b6982-f00f-44c1-821a-fe3ac557e7fe","resolution":{"observed_at":"2026-08-06T20:31:06.009672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.984894Z","title":"arXiv preprint arXiv:13126114","venue":null,"work_id":"6a20c977-3003-4e82-9461-827247579e08","year":2013},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.220807Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:66ae599f3d2ae52c3ef29d4815e5a9ab15071800bd29ab3cf5b2cb20e83b4e46","observation_id":"b2d90726-9fab-487b-b745-1c5ee5bc2b8c","resolution":{"observed_at":"2026-08-06T20:31:05.990273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.952416Z","title":"arXiv preprint arXiv:171100848","venue":null,"work_id":"5dececba-9d44-4b72-a7c5-2bbead6f4df5","year":2017},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.226005Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:1c5e95cb787769721e21c8aab25d31ed8e0a5b07fa45497d00a98e23d3adc2e9","observation_id":"39054044-f71e-456b-9171-9972e6a04adb","resolution":{"observed_at":"2026-08-06T20:31:05.971105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.897706Z","title":"International Journal of Computer Vision 128(10):2402–2417","venue":null,"work_id":"cc0ee7eb-b537-433d-a4cd-54df0e865b62","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.232421Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:cfc5b17ae4f7fd4db27b54448960e0fb0f09361162e1694095780937b5ce519f","observation_id":"90ccd9c8-cb16-4519-b23b-757fa8c91eb0","resolution":{"observed_at":"2026-08-06T20:31:05.918800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.853258Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2080–2089","venue":null,"work_id":"7061e1d6-00de-47df-8859-42920d6bc926","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.238629Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:dc08b3c015160c3e1b632d8a25af4cd4043921042359947f5386a7df9bad995f","observation_id":"895857be-7501-41d7-a9cb-eee764d74fe1","resolution":{"observed_at":"2026-08-06T20:31:05.865631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.804092Z","title":"In: Pro- ceedings of International Conference on Com- puter Vision (ICCV)","venue":null,"work_id":"e1979375-ffab-41c5-a446-7400e5a04dc9","year":2015},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.244069Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:88c90b5b2c7894d3a4933547b846d355e5c9794f075fcbbdde326d1e45ffc7cb","observation_id":"a783a1f4-9894-4296-b056-f0e687483633","resolution":{"observed_at":"2026-08-06T20:31:05.824758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.752085Z","title":"In: international conference on machine learning, pp 4114–4124","venue":null,"work_id":"0542ba9b-e43c-4c89-89fd-e705999db09c","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.254512Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:f1694f0921420dca898b9858e0994aec3fe6f3b43a3c9466326de7852cbad8d6","observation_id":"eadac312-c12a-455b-9650-dac513d8e68a","resolution":{"observed_at":"2026-08-06T20:31:05.770149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.716412Z","title":"In: International Conference on Machine Learning, PMLR, pp 6348–6359","venue":null,"work_id":"28a3134e-88a4-4b3d-924a-30e4603ddb0a","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.259336Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:333b49ac36ba5ade1573ab2c450da36129cde9d78ace352c413451974e8be6a4","observation_id":"37f277a4-03db-4a58-b505-1c6507d78530","resolution":{"observed_at":"2026-08-06T20:31:05.725309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.687187Z","title":"https://github.com/deepmind/dsprites- dataset/","venue":null,"work_id":"b4537489-2c41-42ec-9192-834a1b6f2b85","year":2017},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.267147Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:4107d06269d440cd2a3a4dc27d0d1751971142dfe5d9cb22124dd6e456a32365","observation_id":"90ba3e5a-c683-4a72-af73-ae639ae35282","resolution":{"observed_at":"2026-08-06T20:31:05.692024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.670409Z","title":null,"venue":null,"work_id":"1503025b-8548-453d-a103-6147ad46626c","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.272264Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:8df3b5063cbfa335ccc8d90c049b12e647ad383c414a4a33ed0ca91868ffd1a2","observation_id":"c0240661-f2b9-4b0d-bcfe-14aa5dcc5f4e","resolution":{"observed_at":"2026-08-06T20:31:05.676392Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.655087Z","title":"In: Proceedings of the 37th Interna- tional Conference on Machine Learning, pp 7360–7369","venue":null,"work_id":"74d8852c-6bf5-404c-a3e2-aace118fec24","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.277882Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:bf3adf0f7496720e82612a06459db1eb5b2f4bba0f326038a03dc7f8f0dbb6ab","observation_id":"26f93aa0-b336-40dd-8fa7-bd61fa58fa35","resolution":{"observed_at":"2026-08-06T20:31:05.659709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.633102Z","title":"ACM Transactions on Graphics (TOG) 39(6):1–14","venue":null,"work_id":"2fe8e5ab-c8fa-40c7-bd3b-81f95653b7a3","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.284097Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:8c441d98c57ac487ebf5b4733a8a6dd552f1f7984a4f65d1b56bd2588ec8f65b","observation_id":"29491e21-e5e2-4a4e-9d55-91317e7587e2","resolution":{"observed_at":"2026-08-06T20:31:05.641370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.614972Z","title":"ACM Computing Surveys (CSUR) 51(5):1–36","venue":null,"work_id":"bcae2f6e-640e-464e-874c-b76ddf60f0b0","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.289192Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:7eb40617b677e6aa3c861d9160d8c1bdb367e1fcfe27e2f5088869eaa5872b72","observation_id":"4973df98-c1fd-4fac-ab39-8452d340425b","resolution":{"observed_at":"2026-08-06T20:31:05.620003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.598949Z","title":"Advances in neural information process- ing systems 31","venue":null,"work_id":"9cd7d522-392c-484f-badd-86415002daeb","year":2018},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.294610Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:d35bd33970e9ed80963eab6f1287656925e3f54a1e9f9ba69e1f092adbe8d778","observation_id":"f0808cad-c48a-42ff-870b-8bd04cd04f96","resolution":{"observed_at":"2026-08-06T20:31:05.604184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.577947Z","title":"In: International Conference on Machine Learning, PMLR, pp 9179–9189","venue":null,"work_id":"849a0d11-d551-4b48-8f7b-476611880d5e","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.303852Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:a8acb0f13da42e232b11a0dffc2a77b46a6c55047b927179980df84be60c98f3","observation_id":"999fe122-4feb-4edd-aa08-cc700ae52d2d","resolution":{"observed_at":"2026-08-06T20:31:05.583885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.558709Z","title":"Proceedings of the IEEE 109(5):612–634","venue":null,"work_id":"70c20064-f047-47a9-abb4-47e236679410","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.309625Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:925a4bf4e71eeeb72a8fbb69f7376990d6176560a340493cc1ffd16d0bb5d12d","observation_id":"ee7f2729-d4d0-4c06-8073-459c80a9b51a","resolution":{"observed_at":"2026-08-06T20:31:05.563948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.538529Z","title":"In: International Conference on Machine Learning, PMLR, pp 8655–8664","venue":null,"work_id":"387a3c25-43a1-487c-b9ca-1cf80dd39f80","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.316260Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:3540da566c4cef289c61076b5e1b3ef890e0fcf9ba2fff29a67f92306baa6228","observation_id":"3be89cad-f837-4b19-b650-1380755956f8","resolution":{"observed_at":"2026-08-06T20:31:05.544772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.518187Z","title":"IEEE transactions on pattern analysis and machine intelligence 44(12):9285–9297","venue":null,"work_id":"0686690d-7707-4b85-9838-f44aef9cad48","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.321396Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:fc75d680168e4cf9c387d8d93173551243bbacdc1f84ab51e6d7b0cb8a9ab9a2","observation_id":"b724a9ef-a933-42c7-99b3-c58469c64794","resolution":{"observed_at":"2026-08-06T20:31:05.523813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.499409Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 19250–19259","venue":null,"work_id":"4d562880-0797-481f-ae2c-ffc11139e301","year":2022},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.325870Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:441dcbab591dae957239c4edc8fd2c9e757b363e9f2dbc2e4354e38fb2ee1877","observation_id":"c0a490ca-b4bd-4d0b-b034-115876c523a3","resolution":{"observed_at":"2026-08-06T20:31:05.505892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.478233Z","title":"In: International Conference on Machine Learning, PMLR, pp 6056–6065","venue":null,"work_id":"95fb1fb3-7428-46d0-97ac-501da877406d","year":2019},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.331005Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:31f40b24ab8c3966137d1328aa120aa5a1131acaade243858b0531a0e17742fd","observation_id":"b8f3c49b-ef45-4654-b8f9-d6831c1a8e1c","resolution":{"observed_at":"2026-08-06T20:31:05.484320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.454100Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern 16 recognition, pp 1415–1424","venue":null,"work_id":"af479f87-5022-42cc-aa71-017c733732b5","year":2017},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.335786Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:1e352fcb762f50b45702bd5d4282889e1f6cd5d587225c4829c77ffbd834f94e","observation_id":"ce87826d-972a-43ba-b033-a9fe3ba8fd11","resolution":{"observed_at":"2026-08-06T20:31:05.461081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.432111Z","title":"In: Proceed- ings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition, pp 9593–9602","venue":null,"work_id":"cdaa6af0-2bdc-4b6b-a24c-5ded49fc5e62","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.340507Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:5012d191eeb1482cc5912432a41f76ecdfec516f7496183c3a704cd87df65558","observation_id":"c4a66a5b-bae7-4126-bb2c-9e8a44567228","resolution":{"observed_at":"2026-08-06T20:31:05.438420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.413561Z","title":"Communications of the ACM 64(3):107–115","venue":null,"work_id":"ab2c4187-30d2-4974-91d1-da40fe8ca506","year":2021},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.346773Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:3680495eec597e5dd632e9cfa1ddf12a2479111af38d85674a77bdcd06520b4f","observation_id":"956bcd8c-3943-4070-9412-620c31d8f913","resolution":{"observed_at":"2026-08-06T20:31:05.419525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:31:05.391281Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 6538–6547 17","venue":null,"work_id":"87f5a4d2-8ab5-473f-819f-155ae7601bce","year":2020},"citing_paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:31:05.351462Z"},"links":{"citing_paper":"/paper/2507.02619"},"observation_digest":"sha256:fad0724c811ee26687f6c319bf436daf10aa99503c8a4430fbccbb822f4984c6","observation_id":"6fb9007f-55d3-4e6f-9dd8-1ad211839659","resolution":{"observed_at":"2026-08-06T20:31:05.400190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02619","last_updated":"2025-07-03T13:45:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T20:22:23.533401Z","submitted_at":"2025-07-03T13:45:42Z","title":"L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":43},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2507.02619."}