{"as_of":"2026-08-10T21:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e45703fc13eb4c877ba07f1adfe08bd9ff2553966f18e0b30f2139c906e8625c","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T10:59:38.856205Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"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/2607.22733/citation-record","integrity":"/paper/2607.22733/integrity","json":"/paper/2607.22733/citation-record.json","paper":"/paper/2607.22733"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T10:59:37.240133Z","title":"Learning structured output representation using deep conditional generative models","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.240133Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:f0aa66b4c57bced3b4e1026a1114790897675d4a9d47bc58afb96154b68bbaf3","observation_id":"05a0bba9-4c93-4c5e-b629-b4c3a3a0d9e1","resolution":{"observed_at":"2026-08-01T10:59:37.240133Z","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":"2026-08-01T10:59:37.370858Z","title":"de Jong, and Andreea I","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.370858Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:32014922558a52fea97f14702e23d01af6999a64860858a7b6d062f6091e33ff","observation_id":"30fd832c-ea9e-470f-b01f-ea77f31f748c","resolution":{"observed_at":"2026-08-01T10:59:37.370858Z","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":"2026-08-01T10:59:37.489485Z","title":"Chuang, Ozan Özdenizci, and Albrecht Schmidt","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.489485Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:c893ef7990ba13da0a84148b86f84c4be4aef3cd2596488418fa14f7df3b3c35","observation_id":"e133fa37-0b81-4ab8-af3c-8e680e29e561","resolution":{"observed_at":"2026-08-01T10:59:37.489485Z","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":"10.1007/978-3-031-62753-8_7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Communications in computer and information science","work_id":"1a0881b0-2772-425f-9f77-fa4b79bd16ed","year":2024},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.607125Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:b40b53bd4d47b9cf0681ba37f420c3fe4cacdb509fbb69f0f84beb25f6d84f43","observation_id":"d84478b4-aa39-4365-ab34-9a5e4d5796d9","resolution":{"observed_at":"2026-08-01T11:04:08.354029Z","resolver_source":"doi","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T10:59:37.768115Z","title":"Zoppis, and Sara L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.768115Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:1c007470e277aa1a14328a76a5b8ff00a710c5352931590741fe72beb1ea5977","observation_id":"f329a224-35ad-4f5f-ae40-ed02a49af9e8","resolution":{"observed_at":"2026-08-01T10:59:37.768115Z","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":"2026-08-01T10:59:37.877738Z","title":"V AEEG: Variational auto-encoder for extracting EEG representation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:37.877738Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:2ddb801b5329d5578542fc034dc19cc9dad50bdf9dee4dd718677d4e4a16f716","observation_id":"80cc0e22-5fb7-4245-89b3-c66024470947","resolution":{"observed_at":"2026-08-01T10:59:37.877738Z","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":"2026-08-01T10:59:38.004605Z","title":"Structure-preserving EEG augmentation via Riemannian conditional generative adversarial networks","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.004605Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:ce52f2e723d06d7289c75b26916c1237367f366c296f601fd019ef5ee71dddae","observation_id":"c379036e-fc5e-4db1-8e64-e99b99230476","resolution":{"observed_at":"2026-08-01T10:59:38.004605Z","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":"10.1101/2025.06.23.661164","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Williams, Damian Weinhardt, Jasper Hewson, Martyna B","venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"823cecea-a678-497a-aa11-1402bc879232","year":2025},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.151128Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:8c71fc295066630f6a3cdab175c441bf85aa20f09b2009e107d30624af83f7da","observation_id":"86a2e850-798c-4c0a-8d68-1fa17529b69f","resolution":{"observed_at":"2026-08-01T11:04:08.246772Z","resolver_source":"doi","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":null,"doi":"10.3390/bioengineering12101028","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Trans-cV AE-GAN: Transformer-based cV AE-GAN for high-fidelity EEG signal generation","venue":"Bioengineering","work_id":"36e47e3f-263f-466f-b99b-9c1d91bd42ac","year":2025},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.211603Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:99f4bdb6aa890a2d727d07f53e7c3910fabb31405a90ac25014dad64e741b87f","observation_id":"beaddcc3-590e-4b8a-a762-cb49a23104b6","resolution":{"observed_at":"2026-08-01T11:04:08.163442Z","resolver_source":"doi","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":"1703.01541","last_updated":"2018-02-20T11:10:29Z","snapshot_observed_at":"2026-07-06T05:32:22.939434Z","submitted_at":"2017-03-05T01:30:28Z","title":"Soft-DTW: a Differentiable Loss Function for Time-Series","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.01541","snapshot_observed_at":"2026-08-01T10:59:38.291951Z","title":"Soft-DTW: a differentiable loss function for time-series","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.291951Z"},"links":{"cited_paper":"/paper/1703.01541","citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:e907fc4eeb8df41771e1e79c9eba8a80e4dea706379a3bccfe2b81371ab8180c","observation_id":"d5b33e43-9930-480b-9487-5e6c18e15539","resolution":{"observed_at":"2026-08-01T10:59:38.291951Z","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":"2026-08-01T10:59:38.334588Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.334588Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:25cb3e1ea971890d10364c300e36c8f78315cc1866e958fe02f04815dff28832","observation_id":"effd137b-1a12-4525-8a08-3374f68b70f4","resolution":{"observed_at":"2026-08-01T10:59:38.334588Z","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":"2026-08-01T10:59:38.480195Z","title":"CoV AE: Consistency training of variational autoen- coders, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.480195Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:f3fee276926676c73cf9a413d1da03f83f58e6f491648f535088447e2b181434","observation_id":"ffe7fce5-6429-4bbf-a235-48d04c075b6b","resolution":{"observed_at":"2026-08-01T10:59:38.480195Z","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":"2026-08-01T10:59:38.580393Z","title":"RA VE: A variational autoencoder for fast and high- quality neural audio synthesis, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.580393Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:322557bdde37145cc63ce041d32b78ceb0f9becc53f295e686c3638f63373928","observation_id":"a38c3c5e-93ec-4f20-b930-9ac8bb3ad699","resolution":{"observed_at":"2026-08-01T10:59:38.580393Z","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":"2026-08-01T10:59:38.726700Z","title":"A fully automated trial selection method for optimization of motor imagery based brain-computer interface","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.726700Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:bee8563ab1575f6ca7d52470f866e996fb759e12a607d3feaa601f346450c760","observation_id":"4d9ca994-4899-4eeb-8034-185f7daa3d3d","resolution":{"observed_at":"2026-08-01T10:59:38.726700Z","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":"2026-08-01T10:59:38.856205Z","title":"Visualizing data using t-SNE","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.856205Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:74facc0054200ae0d131c48e2e6080830edf0d2dc4da3bdcb12e5c1df60fbf81","observation_id":"b6b2de05-3029-42af-8a64-d0c5a89f37b5","resolution":{"observed_at":"2026-08-01T10:59:38.856205Z","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":"10.1007/978-3-030-01219-9_49","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"e43de1a4-d7a8-41ff-844e-5a4138d71f09","year":null},"citing_paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:38.395627Z"},"links":{"citing_paper":"/paper/2607.22733"},"observation_digest":"sha256:d5369e19334cc08447d4f152b137dc69d6c99e4d79fb39dfc22429b8a7c1d40d","observation_id":"44af7813-d0e2-48aa-bac1-65d6e83da108","resolution":{"observed_at":"2026-08-01T11:04:08.069535Z","resolver_source":"doi","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"}}],"paper":{"arxiv_id":"2607.22733","last_updated":"2026-07-22T12:16:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T10:59:36.316127Z","submitted_at":"2026-07-22T12:16:16Z","title":"Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":16},"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 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.22733."}