Paper Citation Record · LEDGER

Reinforcement Learning on Dyads to Enhance Medication Adherence

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.06835.

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

pith.paper-citation-record.v1
2502.06835 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:03:37.144132Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy39
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c81daf4e-faa9-4a74-9aef-582d7205f2b9 · outbound

This paper cites Contemporary Clinical Trials109, 106534 (2021).

Reinforcement Learning on Dyads to Enhance Medication Adherence Contemporary Clinical Trials109, 106534 (2021)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.539355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dcb2418-f121-4d6d-b83f-64e19522cdae · outbound

This paper cites John Wiley & Sons (1987).

Reinforcement Learning on Dyads to Enhance Medication Adherence John Wiley & Sons (1987)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.473108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be15da9c-67f2-400b-a691-0021240d8664 · outbound

This paper cites routledge (2013).

Reinforcement Learning on Dyads to Enhance Medication Adherence routledge (2013)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.411833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc896602-8157-4c38-b411-25c84e7289fe · outbound

This paper cites MiWaves Reinforcement Learning Algorithm.

Reinforcement Learning on Dyads to Enhance Medication Adherence MiWaves Reinforcement Learning Algorithm

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T01:03:37.415899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed9a74f4-ae2b-4540-872d-baa99c81aaf3 · outbound

This paper cites Bone marrow transplantation 52(2), 304–306 (2017).

Reinforcement Learning on Dyads to Enhance Medication Adherence Bone marrow transplantation 52(2), 304–306 (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.393892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4687cc6b-0845-47a3-8f31-fb17b6223c9a · outbound

This paper cites IEEE Transactions on Computational Social Systems9(5), 1505–1514 (2021).

Reinforcement Learning on Dyads to Enhance Medication Adherence IEEE Transactions on Computational Social Systems9(5), 1505–1514 (2021)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.379615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20e634a4-032e-46ec-9c59-b2aafbadbd3e · outbound

This paper cites European Journal of Oncology Nursing 38, 1–7 (2019).

Reinforcement Learning on Dyads to Enhance Medication Adherence European Journal of Oncology Nursing 38, 1–7 (2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.366028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7a73c06-c9ca-41e8-a709-60dd318f4aef · outbound

This paper cites Journal of statistical software15, 1–11 (2006).

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of statistical software15, 1–11 (2006)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.351792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49e2b052-d71b-420e-8e56-835465a3b089 · outbound

This paper cites V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL.

Reinforcement Learning on Dyads to Enhance Medication Adherence V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T01:03:36.664136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6abd108f-7de7-4c99-a799-357adc76b98d · outbound

This paper cites Bone marrow transplantation 49(9), 1223–1230 (2014).

Reinforcement Learning on Dyads to Enhance Medication Adherence Bone marrow transplantation 49(9), 1223–1230 (2014)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.338072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b20c8b04-bbdb-4878-9d3d-16b0f842cf68 · outbound

This paper cites Sustainability15(4), 3479 (2023) 10 Xu et al.

Reinforcement Learning on Dyads to Enhance Medication Adherence Sustainability15(4), 3479 (2023) 10 Xu et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.324177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52bf4074-fa59-4b51-bd81-5cdc447991e7 · outbound

This paper cites Transplantation Reviews36(1), 100671 (2022).

Reinforcement Learning on Dyads to Enhance Medication Adherence Transplantation Reviews36(1), 100671 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.310266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c60f3a2f-ea67-41f7-9141-a299d22f2e1f · outbound

This paper cites Dyadic Reinforcement Learning.

Reinforcement Learning on Dyads to Enhance Medication Adherence Dyadic Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-09T01:03:37.289720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd0e67c2-50b0-4a09-8ebd-7933f4dbc259 · outbound

This paper cites Journal of Medical Internet Research26, e56556 (2024).

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of Medical Internet Research26, e56556 (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.297335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c345028-2e0a-452a-96b6-98c9fccda049 · outbound

This paper cites Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies4(1), 1–22 (2020).

Reinforcement Learning on Dyads to Enhance Medication Adherence Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies4(1), 1–22 (2020)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.246753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f63ec15a-0f66-4df6-96b7-77f2235fd114 · outbound

This paper cites Journal of family nursing 24(1), 8–28 (2018).

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of family nursing 24(1), 8–28 (2018)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.187813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 178b66d3-0011-49c3-a2b6-036c556ee3d0 · outbound

This paper cites Psycho- Oncology 33(1), e6256 (2024).

Reinforcement Learning on Dyads to Enhance Medication Adherence Psycho- Oncology 33(1), e6256 (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.129718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5f2627d-4a99-4f85-8dad-23f8dd4dc508 · outbound

This paper cites Biology of Blood and Marrow Transplantation23(4), 562–568 (2017).

Reinforcement Learning on Dyads to Enhance Medication Adherence Biology of Blood and Marrow Transplantation23(4), 562–568 (2017)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.053662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae3ff8e1-bfda-48dd-a8ad-1f3802f6467a · outbound

This paper cites Applied Intelligence53(11), 13677–13722 (2023).

Reinforcement Learning on Dyads to Enhance Medication Adherence Applied Intelligence53(11), 13677–13722 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.033800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 818f9358-fc95-4c7a-8bf8-999bf4d25b9a · outbound

This paper cites In: International Conference on Machine Learning.

Reinforcement Learning on Dyads to Enhance Medication Adherence In: International Conference on Machine Learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.019699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6127e3b-9bc1-44cc-8f42-b6f10af771b7 · outbound

This paper cites Cambridge, UK: CambridgeUni- versityPress 19(2), 3 (2000).

Reinforcement Learning on Dyads to Enhance Medication Adherence Cambridge, UK: CambridgeUni- versityPress 19(2), 3 (2000)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:38.006336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec202956-65d4-4176-bbb4-20ca48cda848 · outbound

This paper cites In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Reinforcement Learning on Dyads to Enhance Medication Adherence In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.993135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 259485b3-ff52-482c-b594-9e790aad8b34 · outbound

This paper cites Clinical Practice in Pediatric Psychology 10(4), 440 (2022).

Reinforcement Learning on Dyads to Enhance Medication Adherence Clinical Practice in Pediatric Psychology 10(4), 440 (2022)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.978626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85537f11-1a6a-4df6-9a7c-41be1d41b5cb · outbound

This paper cites Journal of Pediatric Psychology44(1), 84–97 (2019).

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of Pediatric Psychology44(1), 84–97 (2019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.964728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 862da3ea-c10b-42e8-a7cc-8d39b59d2d82 · outbound

This paper cites JMIR Research Protocols 10(10), e32789 (2021).

Reinforcement Learning on Dyads to Enhance Medication Adherence JMIR Research Protocols 10(10), e32789 (2021)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.950662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1603e97b-c3b3-4133-b68a-20f15b3d0187 · outbound

This paper cites Journal of adolescent and young adult oncology9(6), 651–661 (2020).

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of adolescent and young adult oncology9(6), 651–661 (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.936629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7739823f-c1b8-422a-9b7b-b86ab9c48700 · outbound

This paper cites Journal of Pediatric Psychology45(10), 1106–1113 (2020) Reinforcement Learning on Dyads to Enhance Medication Adherence 11.

Reinforcement Learning on Dyads to Enhance Medication Adherence Journal of Pediatric Psychology45(10), 1106–1113 (2020) Reinforcement Learning on Dyads to Enhance Medication Adherence 11

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.922562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 907a90cd-ed22-411d-be44-24d58766a304 · outbound

This paper cites Patient safety and quality: An evidence-based handbook for nurses (2008).

Reinforcement Learning on Dyads to Enhance Medication Adherence Patient safety and quality: An evidence-based handbook for nurses (2008)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.908522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baf5548c-2b9c-489f-b6d7-9ffa4cc3c331 · outbound

This paper cites JMIR Research Protocols 9(9), e19288 (2020).

Reinforcement Learning on Dyads to Enhance Medication Adherence JMIR Research Protocols 9(9), e19288 (2020)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.866691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23016f94-b18d-46f2-afdf-2a06ace138fd · outbound

This paper cites Foundations and Trends® in Machine Learning11(1), 1–96 (2018).

Reinforcement Learning on Dyads to Enhance Medication Adherence Foundations and Trends® in Machine Learning11(1), 1–96 (2018)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.808204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4b2f3d6-31cb-4f49-9551-12d28f0bc789 · outbound

This paper cites In: 8th Annual Technology in Psychiatry Summit (TIPS).

Reinforcement Learning on Dyads to Enhance Medication Adherence In: 8th Annual Technology in Psychiatry Summit (TIPS)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.754303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3ddb3cb-49f7-4a64-bcf3-b1ed87c037f4 · outbound

This paper cites In: American Society of Clinical Oncology Educational Book.

Reinforcement Learning on Dyads to Enhance Medication Adherence In: American Society of Clinical Oncology Educational Book

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.657968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6efdb227-2048-48ca-98ad-7c688e1d6936 · outbound

This paper cites A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial.

Reinforcement Learning on Dyads to Enhance Medication Adherence A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2099b88-0a71-4c95-bfc5-d3ec0a79a3a7 · outbound

This paper cites Algorithms15(8), 255 (2022).

Reinforcement Learning on Dyads to Enhance Medication Adherence Algorithms15(8), 255 (2022)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.644750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43b08951-e3c9-47c1-9eda-0887e0e95ca2 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Reinforcement Learning on Dyads to Enhance Medication Adherence In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.631215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4487b23e-dafb-42f8-89fc-4c05c46817ee · outbound

This paper cites Frontiers in Psychology14, 1200960 (2023).

Reinforcement Learning on Dyads to Enhance Medication Adherence Frontiers in Psychology14, 1200960 (2023)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.617219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8c3ab55-ef82-48b5-9d64-92f2689b602f · outbound

This paper cites Cancers15(9), 2452 (2023).

Reinforcement Learning on Dyads to Enhance Medication Adherence Cancers15(9), 2452 (2023)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.603313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93680355-645a-4507-8baf-c7939cbf1556 · outbound

This paper cites In: International Conference on Database Systems for Advanced Applications.

Reinforcement Learning on Dyads to Enhance Medication Adherence In: International Conference on Database Systems for Advanced Applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.588450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24a53c9f-292b-4fc0-8708-43ff19d9a1bc · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica9(5), 763–783 (2022).

Reinforcement Learning on Dyads to Enhance Medication Adherence IEEE/CAA Journal of Automatica Sinica9(5), 763–783 (2022)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.573615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35a90bba-1fa1-4eaf-91d4-01e411781668 · outbound

This paper cites Neural Networks 169, 334–351 (2024).

Reinforcement Learning on Dyads to Enhance Medication Adherence Neural Networks 169, 334–351 (2024)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.558939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ea1bb7d-c16c-40e2-ac09-0e5f0cc250cd · outbound

This paper cites Methods of information in medicine 49(05), 421–425 (2010) 12 Xu et al.

Reinforcement Learning on Dyads to Enhance Medication Adherence Methods of information in medicine 49(05), 421–425 (2010) 12 Xu et al

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.544679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72011644-73f1-4804-9b17-9c83217aec01 · outbound

This paper cites (b) Carepartner state transition:βCARE = (βCARE 0 , βCARE 1 ).

Reinforcement Learning on Dyads to Enhance Medication Adherence (b) Carepartner state transition:βCARE = (βCARE 0 , βCARE 1 )

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.529782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a099715-fc0e-40eb-a08a-f4db83693a94 · outbound

This paper cites (b) Main effects of burden:βAYA 4,AM, βAYA 4,PM, and βCARE 4.

Reinforcement Learning on Dyads to Enhance Medication Adherence (b) Main effects of burden:βAYA 4,AM, βAYA 4,PM, and βCARE 4

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:03:37.513747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.