{"as_of":"2026-08-18T12:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77f8666b04cb9e6a8416745c28f2199c071d3e24312082a9653e43913ccd9acb","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:15:03.158816Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2505.10344/citation-record","integrity":"/paper/2505.10344/integrity","json":"/paper/2505.10344/citation-record.json","paper":"/paper/2505.10344"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:15:03.407511Z","title":"Deep learning: Foundations and concepts","venue":null,"work_id":"17b79923-1ae9-4343-a1b8-bc4dddacc644","year":2023},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.073582Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:b2e89dfb6b120809a66419d9c73d32d212dc8816319d3139ffa7c1d99957032a","observation_id":"f3d9b499-0885-49b7-be9d-104fbf2367f8","resolution":{"observed_at":"2026-08-15T21:15:03.410897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1308.3432","last_updated":"2013-08-15T15:19:34Z","snapshot_observed_at":"2026-08-14T04:51:04.817737Z","submitted_at":"2013-08-15T15:19:34Z","title":"Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1308.3432","snapshot_observed_at":"2026-08-15T21:15:03.078792Z","title":"Estimating or propagating gradients through stochastic neurons for conditional computation","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.078792Z"},"links":{"cited_paper":"/paper/1308.3432","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:d591ef81ee0cdbd15e2bbabcd6bacc5d0e029aa6c7902803ed1acc4b7197bb6d","observation_id":"a7fb98bf-6c41-4cd0-be09-9532ee4a8a47","resolution":{"observed_at":"2026-08-15T21:15:03.078792Z","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":"2026-08-15T21:15:03.397407Z","title":"The helmholtz machine","venue":null,"work_id":"c891e232-c62c-4bce-9026-fec7f9c5065e","year":1995},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.083409Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:e42d858d078f7f8d67a9b33b5a1f94ad0b3dc4b8ceb3987c292f5689dfb3bf4f","observation_id":"d3cb1520-dfa8-48dd-b6d9-b7ec9755e6b0","resolution":{"observed_at":"2026-08-15T21:15:03.400718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05908","last_updated":"2021-01-03T16:56:46Z","snapshot_observed_at":"2026-08-18T07:14:08.407712Z","submitted_at":"2016-06-19T21:02:30Z","title":"Tutorial on Variational Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05908","snapshot_observed_at":"2026-08-15T21:15:03.087338Z","title":"Tutorial on variational autoencoders","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.087338Z"},"links":{"cited_paper":"/paper/1606.05908","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:92c5b3ce088bb70217d4d8ec2f1389fed5cd5540d5fb7e5ed1b4fbbe91f360ce","observation_id":"70e18231-7b47-4e88-8c39-4de16d192269","resolution":{"observed_at":"2026-08-15T21:15:03.087338Z","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":"2026-08-15T21:15:03.387008Z","title":"Backpropagation through the void: Optimizing control variates for black-box gradient estimation","venue":null,"work_id":"3b67832a-ed20-4704-8a49-f6b60a70cb11","year":2018},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.091649Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:dd9335cfbcc02c5c2a73b463977b4287abb77688776a79338c1938a80939afb8","observation_id":"8183cc26-20ca-44f6-9471-0daefe6e6a8f","resolution":{"observed_at":"2026-08-15T21:15:03.390559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00734","last_updated":"2022-05-23T20:17:46Z","snapshot_observed_at":"2026-08-16T18:54:31.963339Z","submitted_at":"2021-01-04T01:29:09Z","title":"Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00734","snapshot_observed_at":"2026-08-15T21:15:03.095597Z","title":"Factor analysis, probabilistic principal component analysis, variational inference, and variational autoencoder: Tutorial and survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.095597Z"},"links":{"cited_paper":"/paper/2101.00734","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:89f100a423c354999dd86f90a0355ef2cdc28c70e6eefaacc8398061434a44a1","observation_id":"269255be-409a-4d28-8deb-265a4491a5e4","resolution":{"observed_at":"2026-08-15T21:15:03.095597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04093","last_updated":"2024-06-06T14:10:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-06T14:10:12Z","title":"Scaling and evaluating sparse autoencoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04093","snapshot_observed_at":"2026-08-15T21:15:03.099707Z","title":"Scaling and evaluating sparse autoencoders","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.099707Z"},"links":{"cited_paper":"/paper/2406.04093","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:4830406e2b2ee70011766e916f1b04fbdedbbff4f1ea04b3ac16753a6f551a35","observation_id":"855e52c7-8cd7-4d84-8069-646a9c45aec7","resolution":{"observed_at":"2026-08-15T21:15:03.099707Z","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":"2026-08-15T21:15:03.104102Z","title":"Categorical reparameterization with gumbel-softmax","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.104102Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:1c55b47b5277faa83cbca43522a24b024858969d5337b282c82ca14a917d7867","observation_id":"3fc901ce-dde9-4154-8b96-9ecda25456b4","resolution":{"observed_at":"2026-08-15T21:15:03.104102Z","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":"2026-08-15T21:15:03.368889Z","title":"Nonlinear principal component analysis using autoassociative neural networks","venue":null,"work_id":"2755c036-464f-4dc4-ac1f-243a8305575f","year":1991},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.107668Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:4fe8b975fb095972b68615628198e4e7320fdb62ad034885c1df405981b87033","observation_id":"1aafdc75-eae8-449c-9e5a-d95ae97b268e","resolution":{"observed_at":"2026-08-15T21:15:03.372927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.111315Z","title":"Kingma and Max Welling","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.111315Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:d649a9c29ef4c13bc6c69756c8486c82d96188c2eccebc7955ffab214705be0a","observation_id":"72e1da95-1dec-4696-98a8-9bf2b6bad10f","resolution":{"observed_at":"2026-08-15T21:15:03.111315Z","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":"2026-08-15T21:15:03.350593Z","title":"An introduction to variational autoencoders","venue":null,"work_id":"02bf8d38-d14c-459d-b315-986c0fbc3cfe","year":2019},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.114789Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:1837a3fa4e69d8d58c24bb579a9b226ec953de472fabad3d3bd2172d935af317","observation_id":"103db04e-7322-4f87-ac5f-81367c8060f0","resolution":{"observed_at":"2026-08-15T21:15:03.354580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.339572Z","title":"Bridging discrete and backpropagation: Straight-through and beyond","venue":null,"work_id":"e21c9bf4-2470-4ace-858d-2077df9a9aed","year":2023},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.118520Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:754d7a85f68cdc9dc41881fff130fc26cab9fcf74eb5c43afdef082f2de22e1c","observation_id":"05965eca-ffb1-40bf-a15e-cd38a390d37b","resolution":{"observed_at":"2026-08-15T21:15:03.343391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.328376Z","title":"The continuous bernoulli: fixing a pervasive error in variational autoencoders","venue":null,"work_id":"2ed99a15-2b2b-4d23-a909-e4b43027b7af","year":2019},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.121977Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:8ff62cd6e66617dd8ede408c30aa2a5db0c64624bd70f7642dc563f46b0791ec","observation_id":"b6d7e2b3-44eb-4672-b733-366113958054","resolution":{"observed_at":"2026-08-15T21:15:03.332240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-16T13:17:26.007113Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-08-15T21:15:03.125217Z","title":"Grin: Gradient-informed moe","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.125217Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:03276d4c612c9702c683f390b637d6616463008c70de331d485dffa5787e4548","observation_id":"0f25f10d-1fbe-4e3f-85d5-913874120907","resolution":{"observed_at":"2026-08-15T21:15:03.125217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05147","last_updated":"2024-08-19T07:51:05Z","snapshot_observed_at":"2026-08-15T15:50:24.074149Z","submitted_at":"2024-08-09T16:06:42Z","title":"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05147","snapshot_observed_at":"2026-08-15T21:15:03.128731Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.128731Z"},"links":{"cited_paper":"/paper/2408.05147","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:42b0a5833ab759524ba3c22367c68c5d81c439e1bde024a9899e704fb128c234","observation_id":"d560bcbe-252a-4278-9ae0-52bfc55efc35","resolution":{"observed_at":"2026-08-15T21:15:03.128731Z","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":"2026-08-15T21:15:03.317684Z","title":"Probabilistic machine learning: Advanced topics","venue":null,"work_id":"bbfd44fb-eb4f-45ad-949f-e651b42b20c1","year":2023},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.132538Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:36aee43a288318eeeb18b7f85b11fe6e9c07474b6bfadfd41fd9c844cc09af10","observation_id":"d97e386a-944a-49b9-8088-e1c07713c501","resolution":{"observed_at":"2026-08-15T21:15:03.321243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.08956","last_updated":"2019-07-21T11:09:42Z","snapshot_observed_at":"2026-07-06T08:09:05.455438Z","submitted_at":"2019-07-21T11:09:42Z","title":"Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.08956","snapshot_observed_at":"2026-08-15T21:15:03.135967Z","title":"Tutorial: Deriving the standard variational autoencoder (vae) loss function","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.135967Z"},"links":{"cited_paper":"/paper/1907.08956","citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:c99b752da004af881af8af8771f4c72cce59ff9c0bdec39e53ecbfcf5b82c27e","observation_id":"0a23cd0c-33d4-4f2b-b438-f98f0b0ce57b","resolution":{"observed_at":"2026-08-15T21:15:03.135967Z","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":"2026-08-15T21:15:03.307000Z","title":"Understanding deep learning","venue":null,"work_id":"c0657b1e-186d-4fc7-90b3-2214f3c4a275","year":2023},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.139946Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:de727bd89ec72a4e11acb1523d53f945f4cfcd8855f00d0297d910ce8eeb128d","observation_id":"7088ddb7-da15-4b55-b303-a663db2d57f8","resolution":{"observed_at":"2026-08-15T21:15:03.310619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.295606Z","title":"Stochastic backpropagation and approximate inference in deep generative models","venue":null,"work_id":"55387dc1-ba6b-4818-b30a-0d839b08a924","year":2014},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.143330Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:2ac7dec17c1ed7a0ba0f8d78641b3b5ec00c53f22e4a482ead51867d2ae221a5","observation_id":"199cd8e9-74d5-4ddd-b412-8ffabc72d651","resolution":{"observed_at":"2026-08-15T21:15:03.299723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.285080Z","title":"Discrete variational autoencoders","venue":null,"work_id":"5a6e7842-25e9-4cea-8a78-1641d865f85e","year":2017},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.146871Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:89dee302dc4c3cbc4a0b82ee02adb8277af136eab20f784b13aeac9d1a9402f8","observation_id":"4383a566-07fa-4ccd-a46a-719c1451003f","resolution":{"observed_at":"2026-08-15T21:15:03.288579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-15T21:15:03.150860Z","title":"Generating diverse high-fidelity images with vq-vae-2","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.150860Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:da6e197c7c85ddd9a985fbb34a4138d3edaeadf0384a5920b8d73a63f3686ad4","observation_id":"b23ce0a4-0b94-4c14-af92-1f7a7db73c23","resolution":{"observed_at":"2026-08-15T21:15:03.150860Z","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":"2026-08-15T21:15:03.155291Z","title":"Neural discrete representation learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.155291Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:c7b6c08c7a0e1800f9702cda7588b6997dae46f921caa2a51cf662aa954d41ff","observation_id":"15e356cf-5c4c-45c2-8ae1-9d5119347b88","resolution":{"observed_at":"2026-08-15T21:15:03.155291Z","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":"2026-08-15T21:15:03.257571Z","title":"Dvae++: Discrete variational autoencoders with overlapping transformations","venue":null,"work_id":"eea6bdbc-5b2d-47f5-b30c-6002d19cfefc","year":2018},"citing_paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T21:15:03.158816Z"},"links":{"citing_paper":"/paper/2505.10344"},"observation_digest":"sha256:a2b32e61be9fc07da361db5d0286348c23b8903e3ec396e29fedb0fbfe5acd3c","observation_id":"b422cfdd-57d4-4d30-9744-7b19793f01f0","resolution":{"observed_at":"2026-08-15T21:15:03.263360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.10344","last_updated":"2025-05-15T14:33:31Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T08:03:45.011014Z","submitted_at":"2025-05-15T14:33:31Z","title":"An Introduction to Discrete Variational Autoencoders"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":23},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.10344."}