{"as_of":"2026-08-08T23:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:33bb21ac438b17927b441fa605d2fc0005830d353c231025ef75ec6f5fb1e957","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:21:57.155556Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-05-09T20:05:21.069489Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T15:26:08.103797Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"cited_work":{"arxiv_id":"2507.00518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.00518","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.00518 , year=","venue":null,"work_id":"9b6503a2-40e4-48c1-81bf-4e77aa5076e6","year":null},"citing_paper":{"arxiv_id":"2605.00265","last_updated":"2026-05-29T06:53:40Z","snapshot_observed_at":"2026-08-07T17:06:17.077296Z","submitted_at":"2026-04-30T22:02:19Z","title":"Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-09T20:05:21.069489Z"},"links":{"cited_paper":"/paper/2507.00518","citing_paper":"/paper/2605.00265"},"observation_digest":"sha256:8035d7b7f06c930d32e2ddbb41bbdda2a52821db521fba4e7a4a5e9085f6f4b8","observation_id":"dc54f5cd-66c6-4424-9a79-70f1a4bf83c6","resolution":{"observed_at":"2026-05-11T15:26:08.107227Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00518/citation-record","integrity":"/paper/2507.00518/integrity","json":"/paper/2507.00518/citation-record.json","paper":"/paper/2507.00518"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:21:57.313211Z","title":null,"venue":null,"work_id":"c8b33fe1-3e34-4e7b-bba5-817fd0ef023e","year":2011},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.744229Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:c9bde883b5be75997dc0f2c02770a8f2273c1e128dbd7b91c359ba4dc744d9ce","observation_id":"9ccd868f-0513-4557-bdfc-634a18bae928","resolution":{"observed_at":"2026-08-06T21:21:57.315794Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.345264Z","title":null,"venue":null,"work_id":"c21b072a-b6bf-4338-9eb4-fe3aca76e9f1","year":1999},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.176715Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:49c2c525297dfce7269c1933ee7dd2f122fdcd1a3016ef7dc4e584d1142ac186","observation_id":"d5c3c77c-3f9c-4417-8b2e-4daaa4c98530","resolution":{"observed_at":"2026-08-06T21:21:57.347785Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-06T21:21:55.124663Z","title":"The faiss library","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.124663Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:18960fcb723a185b50969118a83d047d24b09fdb304f2b1a03e28bfd8dce8a0f","observation_id":"9505f126-20c3-448c-a34b-b7fc479d9f7c","resolution":{"observed_at":"2026-08-06T21:21:55.124663Z","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":"2026-08-06T21:21:57.320929Z","title":"Z ˜V ∈SV orono¨ı(A|Xn+1) fvMF(A | V, κ)κ⟨V, ˜V − A⟩ d ˜V # (86) = fvMF(A | V, κ)κ ⟨V, E Xn∼U (S d−1)","venue":null,"work_id":"bf2fe302-4a97-4c3a-b8e0-939dba81b390","year":2004},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.577449Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:b582be6ba829aa7814178b3a60fa938d1afc76f994020990f32acbad55f3bd63","observation_id":"a6f4fda5-59b4-4b86-9ae8-8ee4a27a4b5b","resolution":{"observed_at":"2026-08-06T21:21:57.323746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.07355","last_updated":"2018-10-17T02:22:34Z","snapshot_observed_at":"2026-08-07T19:48:53.448770Z","submitted_at":"2018-10-17T02:22:34Z","title":"Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.07355","snapshot_observed_at":"2026-08-06T21:21:55.401708Z","title":"and Miyazaki, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.401708Z"},"links":{"cited_paper":"/paper/1810.07355","citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:d755b6852e95aad191d9ecde020924a2392f9ad750c321fffc71f0b24cea3523","observation_id":"a42c5418-498d-44c6-a97d-88f722e9962d","resolution":{"observed_at":"2026-08-06T21:21:55.401708Z","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":"2026-08-06T21:21:57.243389Z","title":"Mixes inspired by","venue":null,"work_id":"af8540a2-ba1d-4181-ba1a-b1c51882c745","year":2015},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.149170Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:602f5c91f86c942115fcd4159a222f6d7c69fde7419a451bd016a25af59a9756","observation_id":"de2ecb85-305e-4e24-ae31-a1cab0aecb44","resolution":{"observed_at":"2026-08-06T21:21:57.246238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.361747Z","title":"(28) Replacing g and g′ by their respective values, we obtain: √n h 1 Dn − Cd(κ)A(S d−1) i D − → N(0, σ2(A(S d−1)Cd(κ))4)","venue":null,"work_id":"e08f071f-d6c8-429a-afdd-61305526bd30","year":2004},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.007245Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:810f12d205c3273214a04fed9322b60e11c9fa84f5229e438230978783d5b406","observation_id":"9a1fc947-ba32-40ca-8e9e-1f0d4e9b23d8","resolution":{"observed_at":"2026-08-06T21:21:57.364917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.336813Z","title":"For every θ ∈ [0, 2π], we define RA,θ as the rotation around A of the angle θ","venue":null,"work_id":"785b7c03-d154-4fa5-ba53-aa22e430a8d0","year":2009},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.298336Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:6e14e8c7f2aaf1419ffe19c431df692c8a54663a62a40113428982f981027272","observation_id":"ac4c5a3e-51ba-4b2f-b311-9dcb9275f49b","resolution":{"observed_at":"2026-08-06T21:21:57.340235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.305188Z","title":null,"venue":null,"work_id":"85b3bb53-74fc-4b53-b990-21f50381083e","year":2009},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.903450Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:557e7500723e4c458ef1d5588cbb7292219d8f4fd62769e23b930495840b38a2","observation_id":"90ee7dda-25d8-4e5f-96dc-fb04e04c3115","resolution":{"observed_at":"2026-08-06T21:21:57.307958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.296860Z","title":null,"venue":null,"work_id":"5414563c-03b4-4ffc-8764-513990cc1474","year":2009},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.026917Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:880d35f312db09bcf01d6aab6d0ff12757b4fb4d0571d2af48a4357b330f0ecc","observation_id":"20789ebb-590c-4aa1-9455-0f9b1ca2f4b9","resolution":{"observed_at":"2026-08-06T21:21:57.299772Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.288432Z","title":"We recall that PB-exp(a) and P0(a) are indistinguishable for this range of n values","venue":null,"work_id":"932defe0-e0b1-49c6-848d-3538e4ae95e5","year":2014},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.133524Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:d1636634cf207ad067b1e6997bdba6ce603312a1d3405bb5dd9c5ba50f01d6fa","observation_id":"62f74598-758d-4ef2-b651-dcfe41e19efe","resolution":{"observed_at":"2026-08-06T21:21:57.291610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.271369Z","title":null,"venue":null,"work_id":"d7b05dd5-00a7-4ccb-9bb3-244e135df589","year":2017},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.139400Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:674b1aeae142d8ac2b6f7d2a48d9f1af1b7ad23dfe19c03db2fe91da75445a62","observation_id":"1c67dfc0-189b-478a-a9ab-d0571ba06622","resolution":{"observed_at":"2026-08-06T21:21:57.274042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.262317Z","title":null,"venue":null,"work_id":"fb926c5e-7849-4003-8dcb-6d44bdb02be3","year":2013},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.142193Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:68ea09710a37d3186e2b8a6220673d5e75b8a7d0a5e47866c54b7d3f31151479","observation_id":"448c4255-7fb5-414d-9f45-251f5cd37107","resolution":{"observed_at":"2026-08-06T21:21:57.265223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.253312Z","title":"Exhaustive search is 2 to 3 orders of magnitude slower than ANN methods","venue":null,"work_id":"71c43d13-a4cc-4eb4-acfd-be6f3b955f9e","year":2018},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.145322Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:73440ea9ca9f675b0429eba7fc851f955221be02cf7d70ca7931e9c820cb1061","observation_id":"1ab0f7b5-ab9f-4260-a9d7-aab10e3cd54f","resolution":{"observed_at":"2026-08-06T21:21:57.256938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.328791Z","title":null,"venue":null,"work_id":"ad34c7e1-82c3-4883-b295-2f36a905c71a","year":1943},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":1943,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.432243Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:bc374c7a8e94cf92a4efcea26475362a22c427452b0c86ee7399b36dc5400323","observation_id":"e026ba51-cc2d-4946-90f1-15c05444c11c","resolution":{"observed_at":"2026-08-06T21:21:57.331577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.353219Z","title":null,"venue":null,"work_id":"ef1bdd6a-807e-4595-81f3-5e640bacb477","year":1948},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":1948,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:56.092695Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:c522776e340d79916d6ce824aff9a3f4ec1375f8a6b459dfb897d7357898592b","observation_id":"076e62d3-0777-43b7-af64-7a658531ccdb","resolution":{"observed_at":"2026-08-06T21:21:57.355782Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.370788Z","title":null,"venue":null,"work_id":"19de40b7-5780-47d7-b4ea-1664eac0e321","year":2011},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":1953,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.872317Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:e6deeb56dc8ddb5cc2586ec345f6c2128cec65bd620133f5bf79103f55c3efc5","observation_id":"e1340b37-b970-4281-9626-8d553bd00ef5","resolution":{"observed_at":"2026-08-06T21:21:57.373957Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.390042Z","title":null,"venue":null,"work_id":"c435c83b-8b39-4271-b2f5-ed7d1a65bafa","year":2014},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":1992,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.508988Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:f30ac846270030598b911bd4b02e9ada179badecd4a0e6bf104c720c1f138748","observation_id":"e1d6a246-0e70-4ee1-ad52-88a347097a86","resolution":{"observed_at":"2026-08-06T21:21:57.392498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.07679","last_updated":"2016-04-04T11:27:36Z","snapshot_observed_at":"2026-08-03T08:37:56.722087Z","submitted_at":"2015-12-24T01:31:40Z","title":"Deep Reinforcement Learning in Large Discrete Action Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.07679","snapshot_observed_at":"2026-08-06T21:21:55.260745Z","title":"Deep reinforcement learning in large discrete action spaces","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.260745Z"},"links":{"cited_paper":"/paper/1512.07679","citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:e6b734234961a079cea7cf7bea61033b4b4d009bc07d0f4cd738d160cfe8bd36","observation_id":"f8679443-cd14-4383-9e7c-263b24011009","resolution":{"observed_at":"2026-08-06T21:21:55.260745Z","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":"2026-08-06T21:21:57.398677Z","title":"Adap-τ: Adaptively modulating embedding magnitude for recommendation","venue":null,"work_id":"a3bb9c72-e8f4-4b6b-96eb-98bee3358cff","year":2023},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:54.982388Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:152f5bbc61612fdcc58710a6b52c52deb2618c3e594ea475468c9f83d5576c3e","observation_id":"b19752da-3bc1-48e2-8839-1af6de76da1e","resolution":{"observed_at":"2026-08-06T21:21:57.401580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.280161Z","title":"We subtract the set’s average from each vector and divide them by their norms","venue":null,"work_id":"132dc285-5da4-404d-b2de-0e0db384cdf5","year":2023},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.136563Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:15968a723bce995373cf42c3bb24e4c1dc57b1e9a6274dc1f1ad737da48ca1b9","observation_id":"5e0a6dbf-8ab9-41f4-86a9-91956f0440c4","resolution":{"observed_at":"2026-08-06T21:21:57.282829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.224665Z","title":"Mixes inspired by","venue":null,"work_id":"13fe6aca-ad9f-41af-a032-87f04bcc36dd","year":1999},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.155556Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:c0263a0f39fe9af3916d830b8ad2883216b87d1f39f43bd3d1b4bfeaf07fcd41","observation_id":"56339bc5-2e84-49de-96a6-324eefbf7a42","resolution":{"observed_at":"2026-08-06T21:21:57.228579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17424","last_updated":"2024-09-25T23:24:56Z","snapshot_observed_at":"2026-08-02T09:28:14.540794Z","submitted_at":"2024-09-25T23:24:56Z","title":"Results of the Big ANN: NeurIPS'23 competition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17424","snapshot_observed_at":"2026-08-06T21:21:55.647218Z","title":"V ., Aum ¨uller, M., Ingber, A., Douze, M., Williams, G., Manohar, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.647218Z"},"links":{"cited_paper":"/paper/2409.17424","citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:4271957c4bd5c120a3e57c3a5f08871b62573d4322a9bdf75ff5b39eed51fcb8","observation_id":"2a48c14e-6f77-4019-af8c-5b96c92aee51","resolution":{"observed_at":"2026-08-06T21:21:55.647218Z","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":"2026-08-06T21:21:57.234972Z","title":"Mixes inspired by","venue":null,"work_id":"5622b8ab-b690-4003-956f-adb79f290736","year":2005},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:57.152153Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:40f18f0964e615eba0b3c472bd2c83c3cda3c23d2252a0325734356ef2e4655f","observation_id":"d5981ca8-f168-4efa-ad06-e2d421e92804","resolution":{"observed_at":"2026-08-06T21:21:57.237635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.417887Z","title":"Track mix generation on music streaming services using transform- ers","venue":null,"work_id":"e0e546af-9afc-45de-8939-a8342a60dbe3","year":2024},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:54.799285Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:92174b0521ff8ff84eafe709c0f9922164f8a51e9314bdaaacf38f16f82c06e9","observation_id":"578e3598-3a80-47b6-9e67-67ceda5ac72f","resolution":{"observed_at":"2026-08-06T21:21:57.421225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00157","last_updated":"2021-09-02T10:46:36Z","snapshot_observed_at":"2026-08-07T00:59:44.889602Z","submitted_at":"2021-09-01T02:36:14Z","title":"A Survey of Exploration Methods in Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.00157","snapshot_observed_at":"2026-08-06T21:21:54.730532Z","title":"A survey of exploration methods in reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:54.730532Z"},"links":{"cited_paper":"/paper/2109.00157","citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:f9ad424d2949546f95a5f9cc07873a130cc220f868a24c0c7b05816c6731d445","observation_id":"7e36c451-4f03-4bec-af1c-54f73c8859ec","resolution":{"observed_at":"2026-08-06T21:21:54.730532Z","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":"2026-08-06T21:21:57.380445Z","title":"An analysis of approaches taken in the acm recsys chal- lenge 2018 for automatic music playlist continuation","venue":null,"work_id":"cfdf29a8-3052-4ae2-a237-40c6771b8678","year":2018},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:55.767083Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:93254770defbf81f4bec70404a47fb0156d37a1573fa75ad6d077a4a14440934","observation_id":"f9ff3ae7-aa4b-44be-b8cc-eb698f8a5bbb","resolution":{"observed_at":"2026-08-06T21:21:57.383639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:21:57.408024Z","title":"von mises-fisher sampling of glove vectors","venue":null,"work_id":"50db222d-4c51-4f47-9c0d-74dee6c55c66","year":2025},"citing_paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:54.897949Z"},"links":{"citing_paper":"/paper/2507.00518"},"observation_digest":"sha256:b6e361464b910cd021a5a7090438fbb4d814c48df9e491e4ea0dc10bb318a738","observation_id":"2b65ee86-dcd4-4692-9df4-97b3c0901d9a","resolution":{"observed_at":"2026-08-06T21:21:57.411217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00518","last_updated":"2025-07-01T07:32:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T12:54:47.710570Z","submitted_at":"2025-07-01T07:32:54Z","title":"Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":28},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.00518."}