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Paper Citation Record · LEDGER

Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.870543Z digest=sha256:ece698a7ef3cb8d7e70e29c3d8700b7ab5bedb33887c6ddabab6b81f25b3a495

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.874743Z digest=sha256:348f0051cbc00d78120717db99c5584a907d9b7ae4a6c62a5725251fc96f9eb0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.878207Z digest=sha256:90870ce4dad282f4c9af0fd6325d13bd5d3dd83d9288d83e61edd69b356fc462

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.885257Z digest=sha256:1fecfb85ebe9a9a171911429ddaedeae9a0c53222dab94f499b25c0a497cd5c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.888737Z digest=sha256:504fbdfa43a65c47fd9b64a6309341243f4f8f15b2dfd235c101deb2966a8ea6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.893013Z digest=sha256:8fe93dabce868f305510018c57d3a197f8e52ae27c0c584064642cd7a50d90b3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.896121Z digest=sha256:1212e78742422da5af5daa462bf4d1a456e11a6fba078991b16b18f7f4d8b37d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.899338Z digest=sha256:80f2d60f7ce1b957a300d24144d48328b91a28718a8a1cabc03e082d06efd746

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.902797Z digest=sha256:210b3138a8a4c010fdfe10bf5553c739f405017bea78d82a8d5c1b5e25a7379f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.905950Z digest=sha256:72565de7f4d19384354d50652d65b43ad7b8d20a6d64cb3cec79d47d87d79e28

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.909522Z digest=sha256:70bf2ce2a1f1fa45e1cabcbdd05509920f3dc7a4538bba737c1336ff3f9aa1b8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.913000Z digest=sha256:6adc89b746384908ac52e057301aef86dd8d87b98f897e2d77a7a6e3bd8aea20

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.916270Z digest=sha256:c526b159608fedec029c13d26dc20fdfe59d4078916015c12e8880285970637e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.923185Z digest=sha256:52d56581a765a3476d39d0fa63a0bd338991a4c1140f784c5b5c9d1f2a893f60

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.926312Z digest=sha256:3f516983e73410fab76e1f28d932e9d3e3d07cc089c0a0a3b2adb003533d5509

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.929420Z digest=sha256:998b52377a9b3da922d0eee1f38901351a42352a0a9664292c132701113cd33e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T18:58:03.933084Z digest=sha256:cccb2483095edf5702d91301ea1e7aeb6b4aab46eb38fd482dd5493232dcb284

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