Paper Citation Record · LEDGER

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1802.09127.

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

pith.paper-citation-record.v1
1802.09127 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:22:23.768249Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 273b686a-92a2-4988-947f-74f7961de9c4 · inbound

'In-Between' Uncertainty in Bayesian Neural Networks cites this paper.

'In-Between' Uncertainty in Bayesian Neural Networks Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-25T14:45:56.473889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9809d7fd-7707-4968-9e93-f8fa67e92680 · inbound

Neural Exploitation and Exploration of Contextual Bandits cites this paper.

Neural Exploitation and Exploration of Contextual Bandits Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:24:11.135382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e76e11d-efdb-4141-a2e5-396a1775389c · inbound

Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks cites this paper.

Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-22T23:52:17.260848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f4ec846-7703-4434-9ac6-d9277fd2e807 · inbound

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking cites this paper.

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:28:06.400499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30532a05-2b2c-4690-9ea3-2747e00ea068 · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:24.428679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee277d9d-5b0e-464f-8875-e45ce88129c3 · inbound

Variational Proximal Policy Optimization cites this paper.

Variational Proximal Policy Optimization Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-06-27T19:31:10.256196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.