{"as_of":"2026-08-08T04:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e80483022629e9551db94dd66b6f624191f47ca337b6adba2e9a1b4f75c25950","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:42:37.858244Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2506.10089/citation-record","integrity":"/paper/2506.10089/integrity","json":"/paper/2506.10089/citation-record.json","paper":"/paper/2506.10089"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.03759","last_updated":"2021-04-26T04:59:58Z","snapshot_observed_at":"2026-07-06T10:02:30.383493Z","submitted_at":"2020-10-08T04:42:17Z","title":"Energy-based Out-of-distribution Detection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03759","snapshot_observed_at":"2026-08-07T04:42:37.634177Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.634177Z"},"links":{"cited_paper":"/paper/2010.03759","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:36934886d0fa6ea3977b18d7129d72dcd7644bd1b0477ad6c86a82ca7480a088","observation_id":"66e3dda5-c610-4d22-a6b4-71ea5013f1ce","resolution":{"observed_at":"2026-08-07T04:42:37.634177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.11297","last_updated":"2020-03-31T18:13:34Z","snapshot_observed_at":"2026-08-08T04:03:08.222853Z","submitted_at":"2020-02-26T04:18:25Z","title":"Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data","version":2},"cited_work":{"arxiv_id":"2002.11297","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.11297","snapshot_observed_at":"2026-08-07T04:42:38.616435Z","title":"Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data","venue":"cs.CV","work_id":"bf698145-098e-4169-b0ed-089a192d39f6","year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.639285Z"},"links":{"cited_paper":"/paper/2002.11297","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:980ee58c3c84a677d56bd5c9aa77042181e7a166043fe4f255be73e934b3f7eb","observation_id":"9e5b5fb3-b1da-4443-9bf3-656e71234174","resolution":{"observed_at":"2026-08-07T04:42:38.622094Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.08590","last_updated":"2022-09-18T16:01:31Z","snapshot_observed_at":"2026-08-07T15:27:05.618805Z","submitted_at":"2022-09-18T16:01:31Z","title":"RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection","version":1},"cited_work":{"arxiv_id":"2209.08590","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.08590","snapshot_observed_at":"2026-08-07T04:42:38.595251Z","title":"RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection","venue":"cs.LG","work_id":"7096448c-c0ef-4174-8391-c9bbc320c852","year":2022},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.643713Z"},"links":{"cited_paper":"/paper/2209.08590","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:d9af4e0251e441d3bd03df571b3822b3e9027d48669f70faa9c6e7d6d9ca64e3","observation_id":"bf42950e-79d9-4af1-973f-b61869ad0590","resolution":{"observed_at":"2026-08-07T04:42:38.600166Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02136","last_updated":"2018-10-03T07:32:57Z","snapshot_observed_at":"2026-08-02T06:41:33.803920Z","submitted_at":"2016-10-07T04:06:01Z","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02136","snapshot_observed_at":"2026-08-07T04:42:37.648175Z","title":"Hendrycks, K","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.648175Z"},"links":{"cited_paper":"/paper/1610.02136","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:abc47cdc75f79ca074dace8e792ca0f04984df9e4dd0547b5d73d9b7f6a2611c","observation_id":"a1783355-f40e-4673-a127-46406cbecd8d","resolution":{"observed_at":"2026-08-07T04:42:37.648175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T04:42:37.652573Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.652573Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:b8c88326006767e28c7569ed3ef49196158309cd96cc24739f16e95025cbfe26","observation_id":"afd9686a-3fcf-4d4a-99d6-3572e10ef880","resolution":{"observed_at":"2026-08-07T04:42:37.652573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.03898","last_updated":"2021-01-08T03:08:58Z","snapshot_observed_at":"2026-07-06T09:36:24.838522Z","submitted_at":"2020-07-08T04:56:56Z","title":"NVAE: A Deep Hierarchical Variational Autoencoder","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.03898","snapshot_observed_at":"2026-08-07T04:42:37.657013Z","title":"Vahdat, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.657013Z"},"links":{"cited_paper":"/paper/2007.03898","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:5118cf5d80cbebe066bd75a10a4f550b701c06db21d8af0db2d8f4242ffcf299","observation_id":"50288d00-1870-4b58-8bd7-51e9f94d1325","resolution":{"observed_at":"2026-08-07T04:42:37.657013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.02282","last_updated":"2016-05-27T09:05:10Z","snapshot_observed_at":"2026-07-06T04:45:20.139549Z","submitted_at":"2016-02-06T17:32:48Z","title":"Ladder Variational Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.02282","snapshot_observed_at":"2026-08-07T04:42:37.661969Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.661969Z"},"links":{"cited_paper":"/paper/1602.02282","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:d1cd5d880d2c40487d1a64b9a3a23ce0b3a9032fe86e474b7f066bc85e475079","observation_id":"5a068019-c484-443d-9e35-d732c4ac9969","resolution":{"observed_at":"2026-08-07T04:42:37.661969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.08248","last_updated":"2022-01-18T10:47:03Z","snapshot_observed_at":"2026-08-05T06:17:32.282429Z","submitted_at":"2021-02-16T16:08:04Z","title":"Hierarchical VAEs Know What They Don't Know","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.08248","snapshot_observed_at":"2026-08-07T04:42:37.666239Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.666239Z"},"links":{"cited_paper":"/paper/2102.08248","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:e8efbe6aba37d4797598e704d79f8dcd3ee58e263cd7f097072783155beb3a25","observation_id":"0e7cce92-0f12-428a-9c70-46e310a1f96b","resolution":{"observed_at":"2026-08-07T04:42:37.666239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02845","last_updated":"2019-12-05T19:59:35Z","snapshot_observed_at":"2026-07-06T07:58:36.769011Z","submitted_at":"2019-06-07T00:01:42Z","title":"Likelihood Ratios for Out-of-Distribution Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02845","snapshot_observed_at":"2026-08-07T04:42:37.670408Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.670408Z"},"links":{"cited_paper":"/paper/1906.02845","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:32e234a7daa72987776390725c58fae280242ecb6cefab5da17181feea0dcd2f","observation_id":"72151a4e-918e-433e-974e-a98c5e5490c9","resolution":{"observed_at":"2026-08-07T04:42:37.670408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.09136","last_updated":"2019-02-24T11:57:32Z","snapshot_observed_at":"2026-07-06T07:09:43.264415Z","submitted_at":"2018-10-22T08:32:02Z","title":"Do Deep Generative Models Know What They Don't Know?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.09136","snapshot_observed_at":"2026-08-07T04:42:37.674781Z","title":"Nalisnick, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.674781Z"},"links":{"cited_paper":"/paper/1810.09136","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:49ee763c2f4d45f7cd41db9bc9deb1f4c9363714b5a2aedbbaedf1314471c2a6","observation_id":"683f0973-72a8-4343-9505-bfc0dbc0aa32","resolution":{"observed_at":"2026-08-07T04:42:37.674781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:38.791738Z","title":null,"venue":null,"work_id":"ad18b729-1897-483b-9e62-22f885a6be90","year":2022},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.678785Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:418631fa19f1d30a28faa4bff562d15b8d9fc5f49ad2f150515940accffb4adb","observation_id":"db828208-7734-4e1b-b5c1-81460fb1834d","resolution":{"observed_at":"2026-08-07T04:42:38.796415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06349","last_updated":"2016-05-12T20:51:23Z","snapshot_observed_at":"2026-08-05T16:42:28.278134Z","submitted_at":"2015-11-19T20:38:45Z","title":"Generating Sentences from a Continuous Space","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06349","snapshot_observed_at":"2026-08-07T04:42:37.682648Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.682648Z"},"links":{"cited_paper":"/paper/1511.06349","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:b6bac453e682b64c8ca8488e525ba56ecf74b7bb7e2def1803b074354a516cf3","observation_id":"bcd55499-fb1b-4240-8b56-cbd7f6f8c8e5","resolution":{"observed_at":"2026-08-07T04:42:37.682648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04934","last_updated":"2017-01-30T20:36:01Z","snapshot_observed_at":"2026-08-02T10:46:03.922587Z","submitted_at":"2016-06-15T19:46:36Z","title":"Improving Variational Inference with Inverse Autoregressive Flow","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04934","snapshot_observed_at":"2026-08-07T04:42:37.686670Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.686670Z"},"links":{"cited_paper":"/paper/1606.04934","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:215a7f95c27cca994a64385520cf169ff9d079110dba954c5886b7a6ae588437","observation_id":"371fa9b9-de9a-467a-a4ab-2416893919d3","resolution":{"observed_at":"2026-08-07T04:42:37.686670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02731","last_updated":"2017-03-04T06:19:22Z","snapshot_observed_at":"2026-08-02T06:44:10.588688Z","submitted_at":"2016-11-08T21:43:34Z","title":"Variational Lossy Autoencoder","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.02731","snapshot_observed_at":"2026-08-07T04:42:37.690740Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.690740Z"},"links":{"cited_paper":"/paper/1611.02731","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:8c2bdf5e4ffb4890e96fe23160debab35dfccac1f8d1647e5d35252712763fda","observation_id":"b4691b33-2e0a-432d-9b9c-13b472677f4e","resolution":{"observed_at":"2026-08-07T04:42:37.690740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.04863","last_updated":"2019-01-30T19:33:29Z","snapshot_observed_at":"2026-07-06T06:49:55.635134Z","submitted_at":"2018-07-12T23:37:27Z","title":"Avoiding Latent Variable Collapse With Generative Skip Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.04863","snapshot_observed_at":"2026-08-07T04:42:37.694862Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.694862Z"},"links":{"cited_paper":"/paper/1807.04863","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:d2a24fbc8c791728992c77e75e9793fd8763c6352de42c2f31c064fd9aa742e2","observation_id":"10dca33e-7c64-4834-bcfa-294fdc418b65","resolution":{"observed_at":"2026-08-07T04:42:37.694862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.11096","last_updated":"2019-02-25T21:32:06Z","snapshot_observed_at":"2026-07-06T07:04:57.275371Z","submitted_at":"2018-09-28T15:38:49Z","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.11096","snapshot_observed_at":"2026-08-07T04:42:37.698930Z","title":"Brock, J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.698930Z"},"links":{"cited_paper":"/paper/1809.11096","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:b2728ae71b29edf3defe28abeecaa2598e58964e9bc23269e7b4f2caf9b689d7","observation_id":"d88e07cc-eae7-41e2-8b93-56403ec6fe73","resolution":{"observed_at":"2026-08-07T04:42:37.698930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-07-06T09:30:47.469703Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-07T04:42:37.703194Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.703194Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ab9dce9b1644da82477e8a2c00db777546b88883323c420bae652710549495a9","observation_id":"fe665830-0568-4b39-a549-a7265a25bf09","resolution":{"observed_at":"2026-08-07T04:42:37.703194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.02102","last_updated":"2019-11-06T16:48:34Z","snapshot_observed_at":"2026-07-06T07:31:27.155882Z","submitted_at":"2019-02-06T10:36:57Z","title":"BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling","version":3},"cited_work":{"arxiv_id":"1902.02102","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.02102","snapshot_observed_at":"2026-08-07T04:42:38.386819Z","title":"BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling","venue":"stat.ML","work_id":"37a18157-e3d1-4d4e-9494-8adb7c73fcc1","year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.707834Z"},"links":{"cited_paper":"/paper/1902.02102","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:0e69cb4b718986777ea5b254b2212f5649519681ac1d4f4a5bc8642e785145d7","observation_id":"c848d27b-b245-4612-8ef9-23345aac1597","resolution":{"observed_at":"2026-08-07T04:42:38.391792Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14859","last_updated":"2022-06-06T19:16:30Z","snapshot_observed_at":"2026-07-06T11:14:17.661344Z","submitted_at":"2021-05-31T10:26:32Z","title":"Consistency Regularization for Variational Auto-Encoders","version":2},"cited_work":{"arxiv_id":"2105.14859","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.14859","snapshot_observed_at":"2026-08-07T04:42:38.365839Z","title":"Consistency Regularization for Variational Auto-Encoders","venue":"cs.LG","work_id":"707ea592-70f5-4d6a-9575-3cac61f52893","year":2021},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.712187Z"},"links":{"cited_paper":"/paper/2105.14859","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:b5ddbdf39ce72a96e562f293cb0cfc6a041fa7021cfbce459e4be15d5ea5f706","observation_id":"b1dd4292-3165-4e71-ac9f-be4b11b1751b","resolution":{"observed_at":"2026-08-07T04:42:38.370813Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04594","last_updated":"2021-03-25T18:13:55Z","snapshot_observed_at":"2026-08-02T14:54:51.030419Z","submitted_at":"2019-11-11T23:06:40Z","title":"Rate-Regularization and Generalization in VAEs","version":6},"cited_work":{"arxiv_id":"1911.04594","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.04594","snapshot_observed_at":"2026-08-07T04:42:38.345493Z","title":"Rate-Regularization and Generalization in VAEs","venue":"cs.LG","work_id":"4081d638-e44a-4c0d-9ace-5bb38cfe33bb","year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.716939Z"},"links":{"cited_paper":"/paper/1911.04594","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:e0f91f2c3a972744e0404fadddf01b3f835163f687056839374ec4d188b2e5f6","observation_id":"0f711d4c-0272-4e6e-8be4-b1130b86306b","resolution":{"observed_at":"2026-08-07T04:42:38.350047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.02913","last_updated":"2020-06-26T01:05:36Z","snapshot_observed_at":"2026-08-01T14:30:58.067779Z","submitted_at":"2020-02-07T17:27:30Z","title":"Learning Autoencoders with Relational Regularization","version":4},"cited_work":{"arxiv_id":"2002.02913","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.02913","snapshot_observed_at":"2026-08-07T04:42:38.325259Z","title":"Learning Autoencoders with Relational Regularization","venue":"cs.LG","work_id":"6c678c11-a0f6-43df-8a13-169b2518ed51","year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.721294Z"},"links":{"cited_paper":"/paper/2002.02913","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:62ebce2276745633021bade8f245d40e93e9f16e3cc3ddb3782838368edfbb90","observation_id":"ec56c6f9-f362-46b4-9e41-c0e45e910ebc","resolution":{"observed_at":"2026-08-07T04:42:38.329872Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02630","last_updated":"2018-09-19T21:21:01Z","snapshot_observed_at":"2026-08-03T08:22:24.445082Z","submitted_at":"2018-09-07T18:27:16Z","title":"Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders","version":2},"cited_work":{"arxiv_id":"1809.02630","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.02630","snapshot_observed_at":"2026-08-07T04:42:38.304538Z","title":"Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders","venue":"cs.LG","work_id":"01b64769-5074-412a-b5f4-cdb27e7185a7","year":2018},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.725360Z"},"links":{"cited_paper":"/paper/1809.02630","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:6a7e71f3352017762b0d409f3983da9c9971ebc9ff1bd214360288b2332971d4","observation_id":"6a6b757a-4fbd-4878-8178-4baa071d49ba","resolution":{"observed_at":"2026-08-07T04:42:38.309025Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v34i04.6108","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.950722Z","title":null,"venue":null,"work_id":"1dd330b5-f72f-48a8-90e3-70dd1826e9fe","year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.729564Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:53d3baaa4e6e3d972f5a7b79b4dd21241056da392d0b88bfffc69b3494adc43f","observation_id":"f86d8875-0d2d-4ce2-be31-846340941062","resolution":{"observed_at":"2026-08-07T04:42:37.956266Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11480","last_updated":"2020-01-17T10:38:05Z","snapshot_observed_at":"2026-08-04T17:57:20.973568Z","submitted_at":"2019-09-25T13:27:53Z","title":"Input complexity and out-of-distribution detection with likelihood-based generative models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11480","snapshot_observed_at":"2026-08-07T04:42:37.733491Z","title":"Serr` a, D.´Alvarez, V","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.733491Z"},"links":{"cited_paper":"/paper/1909.11480","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:5c8d224273d1897ec60f2c7da48c26f514b4fc87c84c0f9ebfac072915ffda9d","observation_id":"16d94544-b688-4f5c-9895-33458e732d21","resolution":{"observed_at":"2026-08-07T04:42:37.733491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.13064","last_updated":"2020-10-25T08:20:38Z","snapshot_observed_at":"2026-07-06T10:08:17.806755Z","submitted_at":"2020-10-25T08:20:38Z","title":"Further Analysis of Outlier Detection with Deep Generative Models","version":1},"cited_work":{"arxiv_id":"2010.13064","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.13064","snapshot_observed_at":"2026-08-07T04:42:38.268936Z","title":"Further Analysis of Outlier Detection with Deep Generative Models","venue":"stat.ML","work_id":"544aa7ae-246a-4c3f-adc5-57e17e3b60dd","year":2020},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.738354Z"},"links":{"cited_paper":"/paper/2010.13064","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:459d782bc9a1af785204d7d10ae14f9d65f8c254b94d97dfab9eaa4ba62542c0","observation_id":"ac409f26-5ccf-45df-b562-0a0e785c8586","resolution":{"observed_at":"2026-08-07T04:42:38.273558Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06908","last_updated":"2021-07-16T21:37:23Z","snapshot_observed_at":"2026-08-03T15:54:52.790923Z","submitted_at":"2021-07-14T18:00:11Z","title":"Understanding Failures in Out-of-Distribution Detection with Deep Generative Models","version":2},"cited_work":{"arxiv_id":"2107.06908","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.06908","snapshot_observed_at":"2026-08-07T04:42:38.247448Z","title":"Understanding Failures in Out-of-Distribution Detection with Deep Generative Models","venue":"cs.LG","work_id":"dbe5160c-7856-45e5-87db-653bd12f7973","year":2021},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.742667Z"},"links":{"cited_paper":"/paper/2107.06908","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:bc4e2b511d08d3053acf6bbf441196519b48c75a80b9dcd8a268eb42bed61178","observation_id":"0500fb91-6a1d-4bb0-a468-7e0e7d41d007","resolution":{"observed_at":"2026-08-07T04:42:38.253074Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-07T04:42:37.746808Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.746808Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:f07018efaff7491f603855a98be701472012be35096a1e38134c8d73ee9d068f","observation_id":"a8d2c4bd-d874-4522-9d77-f9416cc9c30f","resolution":{"observed_at":"2026-08-07T04:42:37.746808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.750774Z","title":"Krizhevsky, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.750774Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:12b08c2cccc6fc7e392f533917eb71d111a203fe2af611b21e922e99ad87283d","observation_id":"4e494bc5-9278-4afe-9c9f-493c1b703e83","resolution":{"observed_at":"2026-08-07T04:42:37.750774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.754885Z","title":"Lecun, Y","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.754885Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:cb306c4fbbf17d010cbffd79809a0c491bb488cc0ff13f4e25b06dc5d06e0900","observation_id":"612f9b72-04b5-4a1e-b018-177f25eda74b","resolution":{"observed_at":"2026-08-07T04:42:37.754885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00443","last_updated":"2019-10-27T15:59:58Z","snapshot_observed_at":"2026-08-07T12:18:34.389533Z","submitted_at":"2019-06-02T16:42:20Z","title":"Dimensionality compression and expansion in Deep Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00443","snapshot_observed_at":"2026-08-07T04:42:37.758755Z","title":"Recanatesi, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.758755Z"},"links":{"cited_paper":"/paper/1906.00443","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:5079a232473f0aa9e57f5caf2fdc044f18913b23b4a2d1bd1801858c554709c7","observation_id":"2d7548dc-c47e-4fba-bbe3-a62046c54343","resolution":{"observed_at":"2026-08-07T04:42:37.758755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.762944Z","title":null,"venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.762944Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:96744fa8dd80a22c63a015865f542d1aaf10a43845af2615dc3427c1d5a2820b","observation_id":"33bc285d-fa64-4aec-90bf-71f27d85ce92","resolution":{"observed_at":"2026-08-07T04:42:37.762944Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.767021Z","title":null,"venue":null,"work_id":null,"year":1966},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.767021Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:e4150a2a52102aad3e2922e820255a3da9c2163af257f4433580b8aab516eda6","observation_id":"f407ded3-7a4c-4589-989c-4b998ae6e721","resolution":{"observed_at":"2026-08-07T04:42:37.767021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.3831","last_updated":"2014-10-14T20:00:09Z","snapshot_observed_at":"2026-07-06T03:57:22.021017Z","submitted_at":"2014-10-14T20:00:09Z","title":"An exact mapping between the Variational Renormalization Group and Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.3831","snapshot_observed_at":"2026-08-07T04:42:37.771216Z","title":"Mehta, D","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.771216Z"},"links":{"cited_paper":"/paper/1410.3831","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ae094ad5e596c4fddb72b88d1b16355149b30fdfe2e5947840e09465020ec24b","observation_id":"4bf9e779-f740-4816-b9ea-1616e9f0d45e","resolution":{"observed_at":"2026-08-07T04:42:37.771216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"physics/0004057","last_updated":"2000-04-24T15:22:30Z","snapshot_observed_at":"2026-08-07T10:46:08.274157Z","submitted_at":"2000-04-24T15:22:30Z","title":"The information bottleneck method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"physics/0004057","snapshot_observed_at":"2026-08-07T04:42:37.775667Z","title":"Tishby, F","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.775667Z"},"links":{"cited_paper":"/paper/physics/0004057","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ee22f7adaa29db2ace8c777f789044a5fdbba57cd835ffaf387b7f915e8dae86","observation_id":"2cbc29b5-3afe-4569-b04e-9e79a98edcdd","resolution":{"observed_at":"2026-08-07T04:42:37.775667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.779891Z","title":"Shamir, S","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.779891Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:a5f5d6a9624fb12309bad639bbdee5465c3cd32f4da000ec26ecad6c96c4c1da","observation_id":"97414c3f-ed5a-49b9-8bfc-cd5acbe9c5b5","resolution":{"observed_at":"2026-08-07T04:42:37.779891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1612.00410","last_updated":"2019-10-23T22:47:44Z","snapshot_observed_at":"2026-07-06T05:21:01.935928Z","submitted_at":"2016-12-01T20:12:40Z","title":"Deep Variational Information Bottleneck","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.00410","snapshot_observed_at":"2026-08-07T04:42:37.783898Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.783898Z"},"links":{"cited_paper":"/paper/1612.00410","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:1fbc87b79ca6f6725e63b7760b8c1591b8b48ae003593d09958a510d8cb34543","observation_id":"68fb617e-69a7-4efb-bf85-e07365041f48","resolution":{"observed_at":"2026-08-07T04:42:37.783898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02694","last_updated":"2020-02-14T10:10:15Z","snapshot_observed_at":"2026-07-06T07:58:30.747165Z","submitted_at":"2019-06-06T16:46:56Z","title":"Deep Semi-Supervised Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02694","snapshot_observed_at":"2026-08-07T04:42:37.788386Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.788386Z"},"links":{"cited_paper":"/paper/1906.02694","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:5486cb587fd932029cd7e8bd6f16bc4103b292da2b9e8b333d4e1c3ee95ff103","observation_id":"1b1d8f01-7dd8-48d5-9469-7ce7e9724288","resolution":{"observed_at":"2026-08-07T04:42:37.788386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-07-06T05:56:41.814255Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-07T04:42:37.792434Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.792434Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:9975f5c79a67bc086620c53555ec5813ad615924337da03292771456b88a796b","observation_id":"1a0f143e-fa09-42ec-bebd-d831e195a1de","resolution":{"observed_at":"2026-08-07T04:42:37.792434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:38.777634Z","title":"Deng, The mnist database of handwritten digit images for machine learning research, IEEE Signal Processing Magazine 29 (6) (2012) 141–142","venue":null,"work_id":"54369dce-5617-4004-bee7-6ea2a5ad0702","year":2012},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.796518Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:849a774ba867c95be1960b3a996d35d422abd5ad7662b304b697b504866731ae","observation_id":"6ab9320e-6d91-4244-8b7b-b79fb9960c50","resolution":{"observed_at":"2026-08-07T04:42:38.782103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.763502Z","title":"Krizhevsky, Learning multiple layers of features from tiny images, Techni- cal Report, University of Toronto (2009) 32–33","venue":null,"work_id":"33d2f277-c33e-443f-b7b1-24b7069b4f32","year":2009},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.800563Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ad54f6fa6ce399b974d57e6b7eb853cf73120a4ad1ae8ae9c7f28f99f3f826d6","observation_id":"360be886-dc00-4f66-81df-fe7655769fbe","resolution":{"observed_at":"2026-08-07T04:42:38.767987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.749264Z","title":"Netzer, T","venue":null,"work_id":"19728093-ebb4-41c2-aa00-77ada7529e89","year":2011},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.804386Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ed46db79e97c5311e7a40ca2b0dfe5d98cd037ec88c0fcac819d91004c37500d","observation_id":"5a31aefe-47d1-4aa2-b4bd-08761b3f3fb3","resolution":{"observed_at":"2026-08-07T04:42:38.753677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.734994Z","title":"Bulatov, notMNIST Dataset, Available at http://yaroslavvb","venue":null,"work_id":"2c47ff3c-3de1-43f5-8aba-7733455a237d","year":2011},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.808549Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:23859170a689a865651d468206eb68c15096bdf9c59674b4d644fb1e132d2268","observation_id":"f3278a9b-b54d-4814-8c9f-ef6e3a186a07","resolution":{"observed_at":"2026-08-07T04:42:38.739279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:37.812672Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.812672Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:3a8480d14f7f7a1043f0888adfeb04fc149d3732d62b58aa5126556b663a995f","observation_id":"074327f9-804e-4888-8754-2da89d231345","resolution":{"observed_at":"2026-08-07T04:42:37.812672Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02406","last_updated":"2015-03-09T09:39:41Z","snapshot_observed_at":"2026-07-06T04:11:22.270946Z","submitted_at":"2015-03-09T09:39:41Z","title":"Deep Learning and the Information Bottleneck Principle","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02406","snapshot_observed_at":"2026-08-07T04:42:37.816803Z","title":"Tishby, N","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.816803Z"},"links":{"cited_paper":"/paper/1503.02406","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:22ff71f0028ef2e9c2822497882ae739fafd124255e2649c5ecca1caad955a6c","observation_id":"5a6f5bc0-36b7-4997-afdf-a1323dae8d37","resolution":{"observed_at":"2026-08-07T04:42:37.816803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02690","last_updated":"2020-08-30T16:50:36Z","snapshot_observed_at":"2026-08-05T05:04:04.733091Z","submitted_at":"2017-06-08T17:43:56Z","title":"Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02690","snapshot_observed_at":"2026-08-07T04:42:37.820814Z","title":"Liang, Y","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.820814Z"},"links":{"cited_paper":"/paper/1706.02690","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:7bf32e9e073cda3f78a800c76e135d248de12784d1545dcf7ee5352ea197eb9d","observation_id":"1bcfb3a0-8409-4a9f-ae61-f49dfd7788cc","resolution":{"observed_at":"2026-08-07T04:42:37.820814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.00519","last_updated":"2016-11-07T17:29:24Z","snapshot_observed_at":"2026-08-03T00:53:42.965029Z","submitted_at":"2015-09-01T22:33:13Z","title":"Importance Weighted Autoencoders","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.00519","snapshot_observed_at":"2026-08-07T04:42:37.825018Z","title":"Burda, R","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.825018Z"},"links":{"cited_paper":"/paper/1509.00519","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:0b4b377b295f1a27e8abfb66c6bae3794b546eb86f40ee94299835144f6908b6","observation_id":"87bf089d-372d-4eb9-b762-9e37504f927f","resolution":{"observed_at":"2026-08-07T04:42:37.825018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T04:42:37.829266Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.829266Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:d8934969be1437e60598a001bfe2f3b4c15dd2ac14bfa3eb827592128d3e4f6e","observation_id":"d90d4b41-3741-43a2-a56e-038afbcd3e9c","resolution":{"observed_at":"2026-08-07T04:42:37.829266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:38.720125Z","title":"Given the total latent budget b and number of lay- ers N , the latent dimension li for layer i is: li = b · (1 − r) · ri−1 1 − rN","venue":null,"work_id":"f057c016-c493-4183-9fce-719417365b8e","year":null},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.833311Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:b5a3f919c827f1b02db18419a2a7362b161ed2899cafaf55e656e4ed1cc4a770","observation_id":"9252a188-a0c6-4062-9876-2b56ce4d82d7","resolution":{"observed_at":"2026-08-07T04:42:38.724546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.704357Z","title":null,"venue":null,"work_id":"fc24ad78-6d18-4912-8346-1c4490dcb8c6","year":null},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.837681Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:ff6b45d3555b95c380e23c32b5f406a74b84cd64546708a6824f81099800313e","observation_id":"c6bb89a1-5f22-4a1b-ac02-ccd10a60be3c","resolution":{"observed_at":"2026-08-07T04:42:38.708649Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.690010Z","title":null,"venue":null,"work_id":"8de71ec9-b860-406b-b4bf-507715673c53","year":null},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.841862Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:e022302a278eeb481f899c00de3b7328939b62f60fa48b4d0d267fce40602f17","observation_id":"ea165225-1d45-482c-91b3-984b5e78a9ec","resolution":{"observed_at":"2026-08-07T04:42:38.694119Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.675383Z","title":null,"venue":null,"work_id":"08381cff-aeff-4cf9-b2aa-b4c33c6ef5b7","year":null},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.846009Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:64148eb5a57ebbbf3ad4a4c1711083c2a35d61e6c8a25be8c5c22acd9e989287","observation_id":"6668dff2-643b-4b87-b728-82bc9e9e1abf","resolution":{"observed_at":"2026-08-07T04:42:38.680380Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.661668Z","title":"Training time for a single HV AE model on one Nvidia GTX 2080 Ti GPU was approximately 48 hours for grayscale images and > 200 hours for natural images","venue":null,"work_id":"ee435d5e-ca87-44d6-8082-072fc7ee1056","year":2000},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.850235Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:5934dfc1ebaa88e27bd11a750e51480bf00676faac51cc9d62c9bcad7ba33e0d","observation_id":"bc38eb65-28d9-4e0f-882b-402552e49c01","resolution":{"observed_at":"2026-08-07T04:42:38.666176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1590.9052","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:42:38.046759Z","title":null,"venue":null,"work_id":"9a649b02-d4bd-4f04-b150-f52021f16c58","year":1937},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.854104Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:c4f758ae116d3aa2458bfea7a10ff3206da7372db94688bd6140c5042c13f47c","observation_id":"d9dde2e8-28d7-4701-b9f9-e48da7e78d47","resolution":{"observed_at":"2026-08-07T04:42:38.054011Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T04:42:38.648168Z","title":null,"venue":null,"work_id":"0f0f8169-e2b2-429d-92f7-7475ab05f118","year":null},"citing_paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:37.858244Z"},"links":{"citing_paper":"/paper/2506.10089"},"observation_digest":"sha256:43f15e79352191415936cf122ebd18127e06775bc61a616e18ec4e27d1c53cbe","observation_id":"1f48dc9d-06b2-43be-90bf-3610799f7bb7","resolution":{"observed_at":"2026-08-07T04:42:38.652296Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.10089","last_updated":"2025-06-11T18:16:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:26:40.150096Z","submitted_at":"2025-06-11T18:16:19Z","title":"Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":10,"verified_fuzzy":6},"total_outbound_references":54},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.10089."}