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Paper Citation Record · LEDGER

Taming Non-stationary Bandits: A Bayesian Approach

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1707.09727.

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

pith.paper-citation-record.v1
1707.09727 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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:04.124835Z

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

48
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b8838379-4146-4767-992b-a3435347156a · inbound

Accelerated learning from recommender systems using multi-armed bandit cites this paper.

Accelerated learning from recommender systems using multi-armed bandit Taming Non-stationary Bandits: A Bayesian Approach

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-14T12:58:10.602490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:10.602490Z digest=sha256:766ce2a639d0bc9f1336998f7098b70986c3014c305d075e14f7491fcac4280d

Observation 12bbe108-bada-4cc1-be69-f1a3ae9ba9e0 · inbound

Natural Policy Gradient for Average Reward Non-Stationary RL cites this paper.

Natural Policy Gradient for Average Reward Non-Stationary RL Taming Non-stationary Bandits: A Bayesian Approach

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:04.124835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:16:04.124835Z digest=sha256:553b2651fe7667c777cd07590a155fca945422e1d82deb411de2e265924f62a3

Observation ae0ce631-df8a-4457-ba0c-80615683bde7 · inbound

Thompson Sampling-like Algorithms for Stochastic Rising Bandits cites this paper.

Thompson Sampling-like Algorithms for Stochastic Rising Bandits Taming Non-stationary Bandits: A Bayesian Approach

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:49:58.345529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:49:58.345529Z digest=sha256:031c719144fb4d8e51a58301ad0e143df5f9d1c3fe08f6e87a022afc47d91357

Observation e8d906a2-0d47-45e3-a110-fbb83f69a67e · inbound

TS-Insight: Visualizing Thompson Sampling for Verification and XAI cites this paper.

TS-Insight: Visualizing Thompson Sampling for Verification and XAI Taming Non-stationary Bandits: A Bayesian Approach

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T17:57:15.591249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:57:15.591249Z digest=sha256:0a94453e90cca22ba1c09d9fa7b8f01d9d04ff40e0e27068726bbdbab68fdb37

Observation 1a6ad96c-9a3b-48a5-82ea-e35837cbf174 · inbound

Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits cites this paper.

Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits Taming Non-stationary Bandits: A Bayesian Approach

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-06-26T22:10:09.325236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:81e08b789a72e546d86b87441a78e70a81688df4392bb58a444fa11aead8ce13

Observation a3656b3f-c467-4d88-a2b6-84ab6753e3cc · inbound

Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits cites this paper.

Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits Taming Non-stationary Bandits: A Bayesian Approach

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-26T22:10:09.312446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T06:41:46.958385Z digest=sha256:e97797cab4688b58a951fb671659521f5b73f0981d3b04565c0c98d0bdc47512