Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:57.155556Z
Paper Citation Record · LEDGER
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.00518.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-09T20:05:21.069489Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:26:08.103797Z
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9ccd868f-0513-4557-bdfc-634a18bae928 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.315794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d5c3c77c-3f9c-4417-8b2e-4daaa4c98530 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.347785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9505f126-20c3-448c-a34b-b7fc479d9f7c · outbound
This paper cites The Faiss library.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling The Faiss library
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:21:55.124663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6f4fda5-59b4-4b86-9ae8-8ee4a27a4b5b · outbound
This paper cites 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).
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling 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)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.323746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a42c5418-498d-44c6-a97d-88f722e9962d · outbound
This paper cites Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:21:55.401708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de2ecb85-305e-4e24-ae31-a1cab0aecb44 · outbound
This paper cites Mixes inspired by.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Mixes inspired by
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.246238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9a1fc947-ba32-40ca-8e9e-1f0d4e9b23d8 · outbound
This paper cites (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).
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling (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)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.364917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ac4c5a3e-51ba-4b2f-b311-9dcb9275f49b · outbound
This paper cites For every θ ∈ [0, 2π], we define RA,θ as the rotation around A of the angle θ.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling For every θ ∈ [0, 2π], we define RA,θ as the rotation around A of the angle θ
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.340235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 90ee7dda-25d8-4e5f-96dc-fb04e04c3115 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.307958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 20789ebb-590c-4aa1-9455-0f9b1ca2f4b9 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.299772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 62f74598-758d-4ef2-b651-dcfe41e19efe · outbound
This paper cites We recall that PB-exp(a) and P0(a) are indistinguishable for this range of n values.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling We recall that PB-exp(a) and P0(a) are indistinguishable for this range of n values
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.291610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1c67dfc0-189b-478a-a9ab-d0571ba06622 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.274042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 448c4255-7fb5-414d-9f45-251f5cd37107 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.265223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1ab0f7b5-ab9f-4260-a9d7-aab10e3cd54f · outbound
This paper cites Exhaustive search is 2 to 3 orders of magnitude slower than ANN methods.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Exhaustive search is 2 to 3 orders of magnitude slower than ANN methods
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.256938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e026ba51-cc2d-4946-90f1-15c05444c11c · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 1943
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.331577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 076e62d3-0777-43b7-af64-7a658531ccdb · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 1948
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.355782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e1340b37-b970-4281-9626-8d553bd00ef5 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 1953
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.373957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e1d6a246-0e70-4ee1-ad52-88a347097a86 · outbound
This paper cites an unresolved cited work.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Unresolved cited work
Reference 1992
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:21:57.392498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f8679443-cd14-4383-9e7c-263b24011009 · outbound
This paper cites Deep Reinforcement Learning in Large Discrete Action Spaces.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Deep Reinforcement Learning in Large Discrete Action Spaces
Reference 2010
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:21:55.260745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b19752da-3bc1-48e2-8839-1af6de76da1e · outbound
This paper cites Adap-τ: Adaptively modulating embedding magnitude for recommendation.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Adap-τ: Adaptively modulating embedding magnitude for recommendation
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.401580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5e0a6dbf-8ab9-41f4-86a9-91956f0440c4 · outbound
This paper cites We subtract the set’s average from each vector and divide them by their norms.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling We subtract the set’s average from each vector and divide them by their norms
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.282829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 56339bc5-2e84-49de-96a6-324eefbf7a42 · outbound
This paper cites Mixes inspired by.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Mixes inspired by
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.228579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2a48c14e-6f77-4019-af8c-5b96c92aee51 · outbound
This paper cites Results of the Big ANN: NeurIPS'23 competition.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Results of the Big ANN: NeurIPS'23 competition
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:21:55.647218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5981ca8-f168-4efa-ad06-e2d421e92804 · outbound
This paper cites Mixes inspired by.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Mixes inspired by
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.237635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 578e3598-3a80-47b6-9e67-67ceda5ac72f · outbound
This paper cites Track mix generation on music streaming services using transform- ers.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Track mix generation on music streaming services using transform- ers
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.421225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e36c451-4f03-4bec-af1c-54f73c8859ec · outbound
This paper cites A Survey of Exploration Methods in Reinforcement Learning.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling A Survey of Exploration Methods in Reinforcement Learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:21:54.730532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9ff3ae7-aa4b-44be-b8cc-eb698f8a5bbb · outbound
This paper cites An analysis of approaches taken in the acm recsys chal- lenge 2018 for automatic music playlist continuation.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling An analysis of approaches taken in the acm recsys chal- lenge 2018 for automatic music playlist continuation
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.383639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2b65ee86-dcd4-4692-9df4-97b3c0901d9a · outbound
This paper cites von mises-fisher sampling of glove vectors.
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling von mises-fisher sampling of glove vectors
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:21:57.411217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
Observation dc54f5cd-66c6-4424-9a79-70f1a4bf83c6 · inbound
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning cites this paper.
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:26:08.107227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.