{"as_of":"2026-08-15T02:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a89e5ffae47aef6a425abf2f45584809e7879ac799318c30e4edbf5b5f5d35ac","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T00:51:55.115286Z","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":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T19:00:02.105375Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.03776","snapshot_observed_at":"2026-08-02T19:00:02.105375Z","title":"StarMAP : Global neighbor embedding for faithful data visualization","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.04035","last_updated":"2026-06-19T00:34:48Z","snapshot_observed_at":"2026-08-08T07:18:19.364462Z","submitted_at":"2026-03-04T13:16:48Z","title":"mlx-vis: GPU-Native Dimensionality Reduction on Apple Silicon","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-02T19:00:02.105375Z"},"links":{"cited_paper":"/paper/2502.03776","citing_paper":"/paper/2603.04035"},"observation_digest":"sha256:f0a40b38ddf06b544c3766ebc66c1d90ec69ca821679c50582bd86161aa1cce2","observation_id":"c891a4a0-a38f-4210-ad27-18273af089d3","resolution":{"observed_at":"2026-08-02T19:00:02.105375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.03776/citation-record","integrity":"/paper/2502.03776/integrity","json":"/paper/2502.03776/citation-record.json","paper":"/paper/2502.03776"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.00204","last_updated":"2022-03-26T01:14:03Z","snapshot_observed_at":"2026-08-08T21:53:57.277261Z","submitted_at":"2019-10-01T05:28:57Z","title":"TriMap: Large-scale Dimensionality Reduction Using Triplets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.00204","snapshot_observed_at":"2026-08-09T00:51:55.058906Z","title":"and Warmuth, M","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.058906Z"},"links":{"cited_paper":"/paper/1910.00204","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:3742f2d49e46854ef112bcc42a637a2035735c53cf234beec7671eb9bd599408","observation_id":"50cc62bc-05aa-4bfa-b5c9-94d75274ad21","resolution":{"observed_at":"2026-08-09T00:51:55.058906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-08-13T15:13:33.081929Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-09T00:51:55.097643Z","title":"Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.097643Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:672c3726e37d77caa20fa5b8c02f26ad044d5625faeeee8f7005f4c34f703c72","observation_id":"86389344-7a32-4485-9c22-12fde9ed1b83","resolution":{"observed_at":"2026-08-09T00:51:55.097643Z","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":"2026-08-09T00:51:55.277090Z","title":"Appendix A presents the attraction and repulsion computations used in this study","venue":null,"work_id":"77871535-cb08-4fe5-9917-60f9cdc79bed","year":2025},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.102177Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:4f6d2d76e2069337553b5b91c65374726593c725b3052af932d61d53176f0617","observation_id":"d01c1c3d-d59c-4d30-a407-a91ee05ce0bc","resolution":{"observed_at":"2026-08-09T00:51:55.281746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-09T00:51:55.232082Z","title":"PHATE estimates the multihop neighbor relation, which enables neighbor-based global preservation","venue":null,"work_id":"61ae6655-bb90-4f9c-a9f9-5e2dcfa3bdaa","year":1958},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.115286Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:8b0aada43cc9dbd520b137e32dc27fee33286bc394c0043f5745389725ecc9ca","observation_id":"20e25ff9-7652-4816-a3da-f7cccac81170","resolution":{"observed_at":"2026-08-09T00:51:55.238953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-09T00:51:55.074394Z","title":"UMAP: Uniform manifold approximation and projection for dimension reduction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":1992,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.074394Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:8cd3487794d6166ab3106a0a862a8117b907be8f526af465d86ed5b421662c9f","observation_id":"b441161e-9142-4e6f-8c20-811c4403647a","resolution":{"observed_at":"2026-08-09T00:51:55.074394Z","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":"2026-08-09T00:51:55.305671Z","title":"A., Ayoub, S., Misios, A., Glažar, P., Obermayer, B., Theis, F","venue":null,"work_id":"79c112fe-cc70-4425-a661-c99c990f81c1","year":2025},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2000,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.079572Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:f9582a1a27facc201509d31f93364c5badee91944569e2d27a6087d16025698a","observation_id":"ebecae60-d9fd-4340-92ae-4e18b3d101df","resolution":{"observed_at":"2026-08-09T00:51:55.310447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.01816","last_updated":"2023-02-28T17:32:58Z","snapshot_observed_at":"2026-08-13T15:30:18.607195Z","submitted_at":"2022-06-03T20:50:54Z","title":"From $t$-SNE to UMAP with contrastive learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.01816","snapshot_observed_at":"2026-08-09T00:51:55.069426Z","title":"N., Hamprecht, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.069426Z"},"links":{"cited_paper":"/paper/2206.01816","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:0f4bfdc430ee4425e3ae06da622cfc2947c18c6e982447f46785886d47c4c928","observation_id":"b29cf11d-908b-4f5b-b77d-e8319ac7563e","resolution":{"observed_at":"2026-08-09T00:51:55.069426Z","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":"2026-08-09T00:51:55.291083Z","title":"and Weinberger, K","venue":null,"work_id":"685816b4-bf88-44ec-b970-3067d5dafbf5","year":2012},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.093576Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:3f5cf1c781f9c59f305885359bf1199da4858f27da775993a4bef961c15f3ece","observation_id":"cebeda8d-fb25-461f-8ee8-77bfbae3b723","resolution":{"observed_at":"2026-08-09T00:51:55.295245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-09T00:51:55.263438Z","title":null,"venue":null,"work_id":"160cba7d-fd68-4c2e-9dc0-9f97cee53452","year":2012},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.106678Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:62bb5216d4440d2ed9486d6cd229eb1ef114f1ce9bfade518583a319ad65f393","observation_id":"1ed28e84-cc9e-43db-9273-fc99bacc0736","resolution":{"observed_at":"2026-08-09T00:51:55.267707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-09T00:51:55.248983Z","title":"13 A PREPRINT - FEBRUARY 7, 2025 Figure 9: Quantitaive (left) and qualitative results (left) for the MNIST dataset with different StarMAP settings","venue":null,"work_id":"1a1efb94-7197-4ecd-ac43-7a612a59a25c","year":2011},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.111310Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:cdd7e5791db25325b06f33d68b478c59273b9531e16d7817a6c7b5c6627620da","observation_id":"8fe79b5b-ae33-415c-9cc3-d32b2bf299b0","resolution":{"observed_at":"2026-08-09T00:51:55.253669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-09T00:51:55.320473Z","title":"and Panov, M","venue":null,"work_id":"56bf867b-4da3-4fb5-84e7-244625c78e32","year":2025},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.064542Z"},"links":{"citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:bb41bcd096f567dffc340b03ffa540f1aacf18a55ef87f54373b571df78a15a7","observation_id":"9ca2c4e1-2041-4ad2-8175-1f88b0551ac8","resolution":{"observed_at":"2026-08-09T00:51:55.324876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-09T00:51:55.084067Z","title":"Hierarchical text-conditional image generation with CLIP latents","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.084067Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:07bec653f98d383cffd9b3229732ad7ec16ec1957ea270f6e962227e209bc4d0","observation_id":"473b5ffb-4799-483f-a32a-3ac05a079e3a","resolution":{"observed_at":"2026-08-09T00:51:55.084067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.15389","last_updated":"2023-03-27T17:02:21Z","snapshot_observed_at":"2026-08-15T01:20:03.559618Z","submitted_at":"2023-03-27T17:02:21Z","title":"EVA-CLIP: Improved Training Techniques for CLIP at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.15389","snapshot_observed_at":"2026-08-09T00:51:55.089059Z","title":"EV A-CLIP: Improved training techniques for CLIP at scale.arXiv preprint arXiv:2303.15389,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-09T00:51:55.089059Z"},"links":{"cited_paper":"/paper/2303.15389","citing_paper":"/paper/2502.03776"},"observation_digest":"sha256:0b7a945e47f98d5fb12ecaa8b1b0ab0b1490f404041797bb6f1a219a9425c312","observation_id":"852f2abf-4982-4f49-b812-1cfaa26a3d25","resolution":{"observed_at":"2026-08-09T00:51:55.089059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.03776","last_updated":"2025-02-06T04:43:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T13:26:31.728274Z","submitted_at":"2025-02-06T04:43:07Z","title":"StarMAP: Global Neighbor Embedding for Faithful Data Visualization"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":13},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2502.03776."}