Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:01.726690Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.01907.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:01.726690Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 99b33b39-32cb-4ced-98a3-b7d91180a8e1 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method ACM Computing Surveys 55(7), 1–38 (2022)
Reference 1
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Observation 12a95bf5-c089-4444-bd1f-75d007dbb8fe · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method IEEE Signal Processing Magazine 34(6), 26–38 (2017)
Reference 2
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Observation cc5d3c41-0cbf-4ddd-98c8-124874a27c1b · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege
Reference 3
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c903a94a-4015-4583-b5ab-6b33af146939 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 26th Annual International Conference on Machine Learning
Reference 4
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Observation 94f0f6ca-4c27-4832-8096-3fa4ae062be6 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Find- ings of the Association for Computational Linguistics: EMNLP 2023
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Observation e3051720-7298-4901-8e91-abc1e20f4924 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024)
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Observation c518a354-850e-4ddb-8a79-ad3d0d587749 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review
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Observation efeeb501-7ab4-4c2c-8a2b-bc89f905176e · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Systematic Reviews 9(1), 1–14 (2020)
Reference 8
Source-reported events for the cited work
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Observation e4e9dca7-4060-4be5-9d1d-017e2de03a92 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review
Reference 9
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Observation 769c4515-176d-4d8c-bfe4-23ce8b2aa714 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Reference 10
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Observation 3c7704e9-4e44-4aa2-b4fd-42083aff3a9a · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 25th ACM interna- tional on conference on information and knowledge management
Reference 11
Source-reported events for the cited work
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Observation 8e9d389a-6d85-4a6f-8b1f-38e075b17f49 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of The Nineteenth Text REtrieval Conference, TREC 2010, Gaithersburg, Maryland, USA, November 16-19, 2010
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 41a5f33d-3f5f-4752-ad28-2e5e803ff1ea · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: European Conference on Information Retrieval
Reference 13
Source-reported events for the cited work
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Observation e4c723d0-f8e9-4837-82d4-88dd79654621 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2e1fcf0d-23ab-4a4f-b560-0062c87ed842 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of The Twenty-Fifth Text REtrieval Conference, TREC
Reference 15
Source-reported events for the cited work
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Observation 3ac6d5f5-462b-4ee8-b90b-ed0003088ceb · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method John Wiley & Sons (2019)
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 639f411f-167e-4fe2-a219-f6b2531a48b9 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 428cb540-8239-4c2d-ab4e-d7c75d3e6c25 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Journal of the American Statistical Association 47(260), 663–685 (1952)
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ae2e9ab3-e635-4e65-9a1a-4e0e72fda96f · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Environment International 138, 105623 (2020), https: //www.sciencedirect.com/science/article/pii/S0160412019314023
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 23e8c403-308a-48e5-8d46-170640a42364 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: CEUR workshop proceedings
Reference 20
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Observation 0e34de66-adfe-4212-87ef-739c7e2126a7 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: CEUR workshop proceedings
Reference 21
Source-reported events for the cited work
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Observation c02d5cbb-4375-454d-8314-d5d3940517ed · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: CEUR workshop proceedings
Reference 22
Source-reported events for the cited work
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Observation bbd4bd1b-5e5c-48d7-9876-4770e3ae0cdb · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (2021)
Reference 23
Source-reported events for the cited work
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Observation af37bad5-4f5e-47b6-82a0-8a7a64561a56 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Journal of Machine Learning Research 5, 361– 397 (2004)
Reference 24
Source-reported events for the cited work
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Observation 49882b47-f6e1-49b3-8236-f0792400d22a · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method ACM Trans
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Source-reported events for the cited work
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Observation 4514b66b-32c7-4f40-b236-c7572fe2fa37 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Encyclopedia of machine learning 2011, 231–235 (2008)
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 158ee8a8-1a86-4dad-bf3e-789cfe8c9b1e · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Journal of the Association for Information Science and Technology 70(1), 49–60 (2019)
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 773ecd59-5564-4770-a787-6677b22bcbb2 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method ACM Transactions on Information Systems (TOIS) 39(1), 1–34 (2020)
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b3d3ce3c-e9ce-467f-bec9-b2b317c24e90 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Unresolved cited work
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e81ec292-6343-48c4-9615-b515026e2db2 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Data Mining and Knowledge Discovery pp
Reference 30
Source-reported events for the cited work
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Observation 83109c7c-86a6-49ce-84fc-f8fc2fdbc8c8 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 31
Source-reported events for the cited work
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Observation dd7c2e60-5ff9-42e8-91a6-4a116760efe4 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Journal of Ma- chine Learning Research 22(268), 1–8 (2021), http://jmlr.org/papers/v22/20- 1364.html
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8958bfc5-09e9-44b6-b37c-329e1e13aea1 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bdc17952-5df8-4d71-9524-47f0abd84fe9 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 31st Interna- tional Conference on Distributed Computing Systems workshops
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2692291d-a97b-4042-8d7c-1ddf512a48e2 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Proximal Policy Optimization Algorithms
Reference 35
Source-reported events for the cited work
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Observation 85ff92ba-2f7a-442c-b929-8340573fad78 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Research Synthesis Methods 5(1), 31–49 (2014)
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 58512207-52b6-4fd8-b993-24cc27dc5650 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method ACM Transactions on Information Systems 42(3), 1–37 (2023), https://doi.org/10.1145/3631990
Reference 37
Source-reported events for the cited work
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Observation 16ca08c9-5341-48d4-ba43-e7d06acd9e55 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method The MIT Press, Cambridge (2018)
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 69e71dca-734f-4bab-b286-74106cca2c82 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method John Wiley & Sons, Hoboken, New Jersey (2012)
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a0cf0ba9-b2cf-4401-a885-b3f3eb11e207 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Unresolved cited work
Reference 40
Source-reported events for the cited work
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Observation e6e8fcc3-dfaf-41eb-9448-8c340693f12b · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Machine Learning 8, 229–256 (1992)
Reference 41
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Observation 3d116ddf-a4a3-4c9c-9ed6-a2dc5dcd9c76 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd2173da-2674-4bca-8e56-5c0caa8d8910 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: Proceedings of the 21st ACM Symposium on Document Engineer- ing 2021 (DocEng ’21)
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d01668ee-74fc-408f-aea9-9196336ad7c3 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method In: 2nd International Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES 2021)
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation acd654ea-e568-40ba-a1c5-2f00b840e19d · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Expert Systems with Applications 120, 57–71 (2019)
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e361ea46-7bf8-4683-99bd-0b953ca6d098 · outbound
A Generalised and Adaptable Reinforcement Learning Stopping Method Unresolved cited work
Reference 2016
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.