Paper Citation Record · LEDGER

Neural Thompson Sampling

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2010.00827.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2010.00827 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.687333Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T14:38:21.477207Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cac3a4a7-395e-4dd4-b371-1855de429f1f · inbound

Epinet for Content Cold Start cites this paper.

Epinet for Content Cold Start Neural Thompson Sampling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T16:18:01.426934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09cc7512-7735-441c-826e-87fcabac08ca · inbound

Contextual Bandit Optimization with Pre-Trained Neural Networks cites this paper.

Contextual Bandit Optimization with Pre-Trained Neural Networks Neural Thompson Sampling

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:10.717235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5cf425-d81e-4ac5-8176-09540c4669f7 · inbound

Neural Contextual Bandits Under Delayed Feedback Constraints cites this paper.

Neural Contextual Bandits Under Delayed Feedback Constraints Neural Thompson Sampling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.687333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74282124-499d-4d4b-840b-dc14b87b0f37 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration Neural Thompson Sampling

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:32:17.579719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed69a12c-af93-4d68-9a1d-2e6202001852 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration Neural Thompson Sampling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:37.677940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6068cf56-4f6a-4cc6-9f21-4dad87002134 · inbound

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Neural Thompson Sampling

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:10.186633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d0df00-3598-499f-a203-24b6123ebd04 · inbound

Optimality of Sub-network Laplace Approximations: New Results and Methods cites this paper.

Optimality of Sub-network Laplace Approximations: New Results and Methods Neural Thompson Sampling

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:37:15.587429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d524e4f1-76b3-4692-ac18-980ce479ec81 · inbound

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety cites this paper.

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety Neural Thompson Sampling

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:38:21.479129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fce2c28-ff18-4df2-ab3d-b9eaec3d1f71 · inbound

PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest cites this paper.

PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest Neural Thompson Sampling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T04:34:19.543763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbb40e1-256c-42a1-bdfc-6f9774c37786 · inbound

From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation cites this paper.

From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation Neural Thompson Sampling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T04:17:02.984416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.