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Paper Citation Record · LEDGER

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2501.10974.

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

pith.paper-citation-record.v1
2501.10974 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:58:03.933084Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:21:57.115711Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60517790-21f8-481c-8403-b31db3013ef4 · outbound

This paper cites an unresolved cited work.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:58:04.331479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.870543Z digest=sha256:91f8aa0a754ef5a86253df85821b3d4abb5232d83e19a512f5f44c714151714e

Observation f747346e-4945-4072-a477-33b6ff0dedc1 · outbound

This paper cites an unresolved cited work.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:58:04.321891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.874743Z digest=sha256:ffae1809802e24e28fb3944407ad08fc0ac1ee69525357e8b090b930a54ec873

Observation 0ac9ebc1-39c5-4276-b903-57f66b0a02f4 · outbound

This paper cites Quickest change detection,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Quickest change detection,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.311851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.878207Z digest=sha256:3286b70fd96017db7ed541a4a5c12977277a6ecfb1de144ad6787b742bc22164

Observation 35ce7e7c-93b2-4458-9da9-aa4900dc2218 · outbound

This paper cites Sequential (quickest) change detection: Classical results and new directions,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Sequential (quickest) change detection: Classical results and new directions,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T18:58:03.881672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:58:03.881672Z digest=sha256:6035d276a922e279f6ac3eeadedce3342df00987cfa0efa483eff490a3986f73

Observation 8ffa85af-5bfc-44c6-b74c-fb9d6dfa2fa1 · outbound

This paper cites A change-detection based framework for piecewise-stationary multi-armed bandit problem,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments A change-detection based framework for piecewise-stationary multi-armed bandit problem,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.295399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.885257Z digest=sha256:3bdfca4cc4831322faa8049b55b2c9996fc169b7ca445eb43aa4e0e3d1321d9d

Observation 42a5d33b-32a4-4c7a-bfd8-422481cdd26e · outbound

This paper cites Nearly optimal adaptive procedure for piecewise-stationary bandit: a change-point detection approach,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Nearly optimal adaptive procedure for piecewise-stationary bandit: a change-point detection approach,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.285943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.888737Z digest=sha256:52800b4969f92e3a8c0d0147683bce0601b0845dd094b04a8084744abd35ac10

Observation 5ba82b77-951b-4436-9534-cf7a04f231b5 · outbound

This paper cites Efficient change-point detection for tackling piecewise-stationary bandits,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Efficient change-point detection for tackling piecewise-stationary bandits,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.276442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.893013Z digest=sha256:fb3e24e2b9625b4103b1a32042a2c65c723d252594b2f52d4715b899e42d0cff

Observation ca2e56ef-d9cf-4f96-b57e-41fb0cebb389 · outbound

This paper cites Controlling a Markov decision process with an abrupt change in the transition kernel,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Controlling a Markov decision process with an abrupt change in the transition kernel,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.265771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.896121Z digest=sha256:5b9980f01d93c36d5053930e41b5dd715fe124b425a1e3df6b5c798df05ba369

Observation 23232ae4-14f9-4daa-9d70-eb702194289f · outbound

This paper cites Near-optimal algorithms for piecewise-stationary cascading bandits,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Near-optimal algorithms for piecewise-stationary cascading bandits,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.255764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.899338Z digest=sha256:9dff1b4227b737820dfc4fe142bda3107cc69435f50ee82cf737b175d98a2014

Observation 30fd7112-108b-426b-949e-d440181df20f · outbound

This paper cites A near-optimal change-detection based algorithm for piecewise-stationary combinatorial semi-bandits,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments A near-optimal change-detection based algorithm for piecewise-stationary combinatorial semi-bandits,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.245642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.902797Z digest=sha256:fb98f722abbf0f93ea24c9fa9582a0e6bd97c81f774f37e4273086ba543ff662

Observation 83804ec3-b807-4bd4-a4b8-444d4d96c63b · outbound

This paper cites Nonstationary Reinforcement Learning with Linear Function Approximation.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Nonstationary Reinforcement Learning with Linear Function Approximation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:58:04.064771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.905950Z digest=sha256:610fc619836c2d4ac3d8b1f392d0899e3e416595532f49d28a4da5c16f31d7ae

Observation 3de81ab7-bd8b-4926-82fd-9b607c6a8185 · outbound

This paper cites High probability latency quickest change detection over a finite horizon,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments High probability latency quickest change detection over a finite horizon,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.235875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.909522Z digest=sha256:f5c7aad2f949fa6b4458f7bf04637a1cde04f30ac35aa44510ab6860cfc3a83f

Observation d977de3b-552c-4d6f-9f06-eac1a50cfee9 · outbound

This paper cites Sequential change-point detection when the pre- and post-change parameters are unknown,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Sequential change-point detection when the pre- and post-change parameters are unknown,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.225724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.913000Z digest=sha256:02856beb6815d6d33717438baf49b30d0b1b3853131f1134f647135cc789c193

Observation e2c62029-6d61-423c-9751-8a608705baf8 · outbound

This paper cites Change detection-based procedures for piecewise stationary mabs: A modular approach,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Change detection-based procedures for piecewise stationary mabs: A modular approach,

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-10T18:58:04.050579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.916270Z digest=sha256:247fd148b0ff51421c4c6fe616b574ffb0d6fa0b320d47cbeff04808056d2902

Observation 66cedbf7-c427-486b-83fe-ada94026809b · outbound

This paper cites Information bounds and quick detection of parameter changes in stochastic systems,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Information bounds and quick detection of parameter changes in stochastic systems,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T18:58:03.919164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:58:03.919164Z digest=sha256:ac52dc58442eb2dbfd37913b07e11b7321410d031efc4116669d83fbb81fb706

Observation efb62107-d535-493b-bae7-76a297f80efd · outbound

This paper cites Mixture martingales revisited with applications to sequential tests and confidence intervals,.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Mixture martingales revisited with applications to sequential tests and confidence intervals,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.106330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.923185Z digest=sha256:50d19830c8cf095c56b221a201384fa51a66e6c8530d9996305dc2898ade6600

Observation 28bbb91f-8a10-4b47-b031-efe4c5d3f5e9 · outbound

This paper cites an unresolved cited work.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:58:04.095763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.926312Z digest=sha256:6265dfae34fbfcb3a530a32f80ebf70846cd22ea00f11bc82e9cfae210650a0b

Observation 67780331-d212-40f1-b98e-6f445172d554 · outbound

This paper cites Ville,Etude critique de la notion de collectif.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Ville,Etude critique de la notion de collectif

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.085537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.929420Z digest=sha256:3817d8fdca1123caece50fb9916f936499cb2d178d1e627e375c7cda056340e4

Observation 56111938-1825-44ef-a59c-4d48c49cdab4 · outbound

This paper cites Lemma 3(Lemma 13 from [16]).Letc := 5 4 log π2/3 (log(5/4))2.

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments Lemma 3(Lemma 13 from [16]).Letc := 5 4 log π2/3 (log(5/4))2

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:58:04.075427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T18:58:03.933084Z digest=sha256:23cb276ef2c0fdb55204fe61e55c2bb2c05376458844d030dab3d33e169ec06c

Pith citing papers

Observation 267e89b1-e51f-454c-8b6d-d3fc7f20cd01 · inbound

The Cost of Learning Under Multiple Change Points cites this paper.

The Cost of Learning Under Multiple Change Points Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T00:21:57.115711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:21:57.115711Z digest=sha256:66f37d46bfbc4ad6f071af097064d9e21770f18f5b16559a1c5030df08a0f2ee