{"as_of":"2026-08-15T16:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:41df399e7f625083d8141cb77f455501a2f43e12e03e13dbc4f31a59c40771fc","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:20:04.077185Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.07934/citation-record","integrity":"/paper/1908.07934/integrity","json":"/paper/1908.07934/citation-record.json","paper":"/paper/1908.07934"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1707.07980","last_updated":"2017-07-25T13:28:27Z","snapshot_observed_at":"2026-08-14T20:45:26.462102Z","submitted_at":"2017-07-25T13:28:27Z","title":"Deep Learning Based MIMO Communications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.07980","snapshot_observed_at":"2026-08-14T15:20:04.010740Z","title":"Deep learning based MIMO communications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.010740Z"},"links":{"cited_paper":"/paper/1707.07980","citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:b13a388032595532e7ca97a3da715b078d77584dbdd12b2f313b8514d4ecabfd","observation_id":"18dee9c8-49a5-4756-8407-5be4da6d1756","resolution":{"observed_at":"2026-08-14T15:20:04.010740Z","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":"2026-08-14T15:20:04.319601Z","title":"Deep learning-based CSI feedback approach for time-varying massive MIMO channels,","venue":null,"work_id":"7d3e9cc8-cf36-4bfb-a403-38cfc889a364","year":2018},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.016649Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:4ebc208490d20d11997f7cfafc0e2b3a668a8d6a88317337f683cdf18a974808","observation_id":"c600392b-a564-4f4b-af9e-de119652eedb","resolution":{"observed_at":"2026-08-14T15:20:04.325123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.304140Z","title":"Deep learning for wireless physical layer: Opportunities and challenges,","venue":null,"work_id":"61ad6088-6c68-453d-a40f-dc45bc667463","year":2017},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.021421Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:02864da8addeee72dcf0b4db0acc05f15685f602f361ec1d006828493ec3d086","observation_id":"9c41ac6e-ad78-457b-b185-3936f62f793b","resolution":{"observed_at":"2026-08-14T15:20:04.309199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.288610Z","title":"Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory,","venue":null,"work_id":"77c44a22-6f62-4d0c-85a4-2405005d4df8","year":2014},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.026259Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:2c17a0e756760fd2d3d7eb074f7f0abe95b667c006cb243fffafc9a4f675cf73","observation_id":"dbe96956-09ee-4ee6-bacc-2445754e4549","resolution":{"observed_at":"2026-08-14T15:20:04.293965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.272605Z","title":"On capacity of large- scale MIMO multiple access channels with distributed sets of correlated antennas,","venue":null,"work_id":"09ebe7bc-d267-46d8-932d-5b73908adea6","year":2013},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.031180Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:47203007c7b076f5128b326f816ff8cb2142b48bc783a208f416762bdcb829ff","observation_id":"979ccfaf-6bb2-4cf2-bb7b-d7995656a8a7","resolution":{"observed_at":"2026-08-14T15:20:04.277901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.256743Z","title":"Deep learning for massive MIMO CSI feedback,","venue":null,"work_id":"92ed3c2f-67ef-44b4-aa77-c2ff71738356","year":2018},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.035982Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:59c5c59f4127fc2f74b0fcd8bcdd15002bc0076578f405f3a0959dd3c6acdce9","observation_id":"7ccc9458-c847-4bf0-aa5c-46c030ad4a34","resolution":{"observed_at":"2026-08-14T15:20:04.261838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.240306Z","title":"MIMO channel information feedback using deep recurrent network,","venue":null,"work_id":"0faa04b5-864f-4415-936d-5d48d36646f8","year":2018},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.041248Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:0abfa118d765eaa116c7675967e744c9c5174ac8d7244bfdf022c9a3877d3cd4","observation_id":"7dcc4de6-2fcb-4639-83a9-e3bf33800c94","resolution":{"observed_at":"2026-08-14T15:20:04.245899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.224663Z","title":"Mobilenetv2: Inverted residuals and linear bottlenecks,","venue":null,"work_id":"f9981043-3f9a-4aa4-99b5-2fc0b15df246","year":2018},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.047134Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:5eba87eb162a6daeba9b1a80c2630ec28011ee196374b14fe2daf871d58a796f","observation_id":"0eda41ae-ac3f-4019-9df5-5000b8c3c9eb","resolution":{"observed_at":"2026-08-14T15:20:04.229677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.208003Z","title":"An EM-based forward-backward kalman ﬁlter for the estimation of time-variant channels in OFDM,","venue":null,"work_id":"097a0786-7b07-41ee-bff7-f35d26afaa4d","year":2007},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.052353Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:1ef2461457e3ea34ad41d82994d071a9106b197470b7195674e1a2501bba6b37","observation_id":"08de8d1e-c8ee-4ce0-8fd2-4aef42fcc83c","resolution":{"observed_at":"2026-08-14T15:20:04.213624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.191295Z","title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting,","venue":null,"work_id":"8dc76875-3635-4c8b-ae20-5f7d2722e315","year":2015},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.057141Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:4af7ddbcad402e0c1c49276d08d5f99edf7442744d06d9dce583d39d8f89efe0","observation_id":"a498ffd6-53fb-4358-93c9-fc1db9c6f037","resolution":{"observed_at":"2026-08-14T15:20:04.196411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.175378Z","title":"Learning spatio-temporal representation with pseudo-3d residual networks,","venue":null,"work_id":"95d03e62-8618-487c-932f-d5d3455c22f2","year":2017},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.061610Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:8ac97724f517f4b732a31c66f6fb0f95ea222a99fc84e29fedff9f04dadac713","observation_id":"2921dee7-e273-48b2-b23b-55d033008dd3","resolution":{"observed_at":"2026-08-14T15:20:04.180445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.158188Z","title":"Inception-v4, inception-resnet and the impact of residual connections on learning,","venue":null,"work_id":"2df88644-eb57-4b82-b08a-c18281e94055","year":2016},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.066341Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:6a35db091c31031b1416649a85cf8d8f4c0c24292ab4aec89e6343c5098fa51f","observation_id":"756b63d7-3154-4757-828a-fa717db793ca","resolution":{"observed_at":"2026-08-14T15:20:04.164357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.141021Z","title":"Identity mappings in deep residual networks,","venue":null,"work_id":"f9532f19-8183-4f64-a594-3b44facd2b8b","year":2016},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.071168Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:8e3e73a246cc0d128841453a6ba2ec5330c3c9fe5e1d3d047f43abcd62ea219d","observation_id":"8604201a-b4f5-4f7a-b58d-4480c80b06a3","resolution":{"observed_at":"2026-08-14T15:20:04.147091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:20:04.123726Z","title":"The COST 2100 MIMO channel model,","venue":null,"work_id":"58c26713-4671-4bde-b287-5ebe472c1684","year":2012},"citing_paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:20:04.077185Z"},"links":{"citing_paper":"/paper/1908.07934"},"observation_digest":"sha256:f680a332561f0a1b3e9fd9a95e83f7966b5e1dde11f6c782458d4d7f0f47021c","observation_id":"49d6fb43-17fe-499f-a6c2-8bef541ce7ba","resolution":{"observed_at":"2026-08-14T15:20:04.129874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07934","last_updated":"2019-08-22T08:16:37Z","latest_version":2,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-15T07:24:06.750195Z","submitted_at":"2019-08-04T10:28:53Z","title":"Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":14},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.07934."}