{"as_of":"2026-08-10T15:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92df22115a98d2b289f6f166a0acac99e616de32e0a62b2547180ccddfdc1ff7","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T04:18:21.856954Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2607.05653/citation-record","integrity":"/paper/2607.05653/integrity","json":"/paper/2607.05653/citation-record.json","paper":"/paper/2607.05653"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.14031","last_updated":"2026-05-30T22:55:39Z","snapshot_observed_at":"2026-08-07T17:22:11.217959Z","submitted_at":"2024-02-20T11:34:19Z","title":"Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance","version":2},"cited_work":{"arxiv_id":"2402.14031","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.14031","snapshot_observed_at":"2026-07-11T04:27:50.831993Z","title":"Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance","venue":"eess.SY","work_id":"d6d76e82-6036-45eb-830a-c137fc3789c7","year":2024},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/2402.14031","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:5f10137b43eb766484de078179cb5ead47d200d1ee3be2656003bdc9814ab275","observation_id":"d9e4b730-afab-44e2-aea2-cb09c9c47ddf","resolution":{"observed_at":"2026-07-11T04:27:50.834739Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.14278","last_updated":"2021-12-30T16:28:04Z","snapshot_observed_at":"2026-08-07T11:13:55.477270Z","submitted_at":"2021-12-28T19:33:10Z","title":"Beta-VAE Reproducibility: Challenges and Extensions","version":2},"cited_work":{"arxiv_id":"2112.14278","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.14278","snapshot_observed_at":"2026-07-11T04:27:50.822844Z","title":"Beta-VAE Reproducibility: Challenges and Extensions","venue":"cs.LG","work_id":"c6701f28-f40e-4ae7-bb31-a86bee3aaadc","year":2021},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/2112.14278","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:56ff4872a3c6f96f192255c86af36529944e8992dc7cdb807405fdc58783159d","observation_id":"398c0089-ac27-4b0a-9382-74dc6a13f80b","resolution":{"observed_at":"2026-07-11T04:27:50.826008Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00734","last_updated":"2022-05-23T20:17:46Z","snapshot_observed_at":"2026-08-10T09:49:47.968247Z","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":"2026-07-11T04:18:21.856954Z","title":"Factor analysis, proba- bilistic principal component analysis, variational inference, and variational autoencoder: Tutorial and survey.arXiv preprint arXiv:2101.00734,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/2101.00734","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:32ef48f68591d735e6344a40d8f2e803a9a0ed965a8fe59a7022de48416cd73b","observation_id":"ddc49649-0ce3-4e1c-ac0a-06473b6ac159","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.05927","last_updated":"2016-11-17T22:55:09Z","snapshot_observed_at":"2026-07-30T23:57:59.244554Z","submitted_at":"2016-11-17T22:55:09Z","title":"Generalized BackPropagation, \\'{E}tude De Cas: Orthogonality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.05927","snapshot_observed_at":"2026-07-11T04:18:21.856954Z","title":"Generalized backpropagation,\\’{E}tude de cas: Orthogonality.arXiv preprint arXiv:1611.05927,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/1611.05927","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:aaa2e7a529793a99291bbe0e98d86915694b7e3f10728d54bfc02da5a27170a4","observation_id":"e4d13cc5-59be-4d36-8afa-842508eb6800","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.05534","last_updated":"2019-01-28T19:16:09Z","snapshot_observed_at":"2026-07-06T07:27:10.733873Z","submitted_at":"2019-01-16T21:32:33Z","title":"Lagging Inference Networks and Posterior Collapse in Variational Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.05534","snapshot_observed_at":"2026-07-11T04:18:21.856954Z","title":"Spokoyny, Graham Neubig, and Taylor Berg-Kirkpatrick","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/1901.05534","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:1395b3b949c628ca9d16b12bb937697eea9de3aaf216f8f2560f739a83598c32","observation_id":"3e71b7e9-a720-4389-8edb-716f06bee216","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","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":"2026-07-11T04:18:21.856954Z","title":"Learning dynamics in linear vae: Posterior collapse threshold, superfluous latent space pitfalls, and speedup with kl annealing","venue":null,"work_id":null,"year":1936},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:709b807b6131fea60374adcf47d59ab3273749c7e569e1b1ef2317efcee07419","observation_id":"baf8e68c-acbd-4de3-826e-3db3b4a265d4","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","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":"2602.07536","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T04:27:50.795228Z","title":"Characterization of autofluorescence in optical fibers for nv-based sensing applications.arXiv preprint arXiv:2602.07536,","venue":null,"work_id":"3b5aaf3b-6991-4b8c-a38a-86a92c85239e","year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:ee03cfc0ec6a45c8c1251e8395a028fff990eb24ec91e4524cb0d7092e558f07","observation_id":"ee92fa55-ca9e-4d7d-8cba-04cfb56a8ba6","resolution":{"observed_at":"2026-07-11T04:27:50.798856Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.356996","doi":"10.1109/tgrs.2025.3569960","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Raetsch, Sylvain Gelly, Bernhard Sch¨ olkopf, and Olivier Bachem","venue":"IEEE Transactions on Geoscience and Remote Sensing","work_id":"43289fa3-9bce-4999-a767-96455fd49256","year":2025},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:93232734edf57109bfd73903b826113b80f0c934edd9922abb1102bf0d208fd5","observation_id":"211b5498-ee43-43df-8d39-13680ffd0f71","resolution":{"observed_at":"2026-07-11T04:27:49.629007Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:50:59.629936+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:50:59.629936+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.01729","last_updated":"2021-11-01T17:35:21Z","snapshot_observed_at":"2026-08-10T11:20:06.656321Z","submitted_at":"2021-07-04T20:50:49Z","title":"Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.01729","snapshot_observed_at":"2026-07-11T04:18:21.856954Z","title":"Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks.arXiv preprint arXiv:2107.01729,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/2107.01729","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:91fd096e20dd81dbc9c1b60f9f5e787cdaef9b0346b80500d79139c0ffc73377","observation_id":"2331e42c-029d-48d7-8652-fd003d0c75bb","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07289","last_updated":"2024-10-09T14:04:31Z","snapshot_observed_at":"2026-08-04T12:43:32.260928Z","submitted_at":"2024-10-09T14:04:31Z","title":"Principal Orthogonal Latent Components Analysis (POLCA Net)","version":1},"cited_work":{"arxiv_id":"2410.07289","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.07289","snapshot_observed_at":"2026-07-11T04:27:50.780102Z","title":"Principal Orthogonal Latent Components Analysis (POLCA Net)","venue":"cs.LG","work_id":"eaf8b799-fba6-4869-a66e-3ecf83cf405c","year":2024},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/2410.07289","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:c241d5740a6bc673806aba22ce2efd4274c7c954c38ea7055bf937d43015a371","observation_id":"5a00fc31-deba-4dae-ab99-c5e2982bba5e","resolution":{"observed_at":"2026-07-11T04:27:50.782688Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.10253","last_updated":"2018-12-28T19:02:12Z","snapshot_observed_at":"2026-07-06T06:35:43.204577Z","submitted_at":"2018-04-26T19:28:02Z","title":"From Principal Subspaces to Principal Components with Linear Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.10253","snapshot_observed_at":"2026-07-11T04:18:21.856954Z","title":"From principal subspaces to principal components with linear autoencoders","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/1804.10253","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:ea9e560c55f835962d57362009d4c8353d77959b7f2180c0633d20eb5c76d49b","observation_id":"a10295d5-74fc-4a65-b1af-f436481297ae","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.08658","last_updated":"2017-02-28T06:04:23Z","snapshot_observed_at":"2026-07-06T05:31:40.572534Z","submitted_at":"2017-02-28T06:04:23Z","title":"Towards Deeper Understanding of Variational Autoencoding Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.08658","snapshot_observed_at":"2026-07-11T04:18:21.856954Z","title":"Towards deeper understanding of vari- ational autoencoding models.arXiv preprint arXiv:1702.08658,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T04:18:21.856954Z"},"links":{"cited_paper":"/paper/1702.08658","citing_paper":"/paper/2607.05653"},"observation_digest":"sha256:37717f0302a7a84440ab1a0d33c524d6a87bf37ff6597a9e19f096cddfd5567b","observation_id":"61568d87-9e3b-4677-897e-d475d74c2892","resolution":{"observed_at":"2026-07-11T04:18:21.856954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.05653","last_updated":"2026-07-06T21:51:01Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T14:28:22.653079Z","submitted_at":"2026-07-06T21:51:01Z","title":"Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":12},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.05653."}