Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:52:22.608204Z
Paper Citation Record · LEDGER
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights
As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.00201.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 447d17f2-1205-426c-91a5-3afde739d4d2 · outbound
This paper cites Powered exoskeletons for walking assistance in persons with central nervous system injuries: a narrative review,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Powered exoskeletons for walking assistance in persons with central nervous system injuries: a narrative review,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.195063Z
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.
Observation 49910a74-a637-487a-b808-8f519ef9bc6e · outbound
This paper cites Review of control strategies for lower-limb exoskeletons to assist gait,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Review of control strategies for lower-limb exoskeletons to assist gait,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.178813Z
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.
Observation bdf4ae09-4712-4f35-b088-9c0bc16a5d27 · outbound
This paper cites Wearable assistive robotics: A perspective on current challenges and future trends,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Wearable assistive robotics: A perspective on current challenges and future trends,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.162534Z
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.
Observation 01b97898-cc0c-4c14-ab2f-ae4750bdea28 · outbound
This paper cites How adaptation, training, and customization contribute to benefits from exoskeleton assistance,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights How adaptation, training, and customization contribute to benefits from exoskeleton assistance,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.145321Z
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.
Observation e16f449c-4c25-43d8-878b-1e900ddb2d0d · outbound
This paper cites Developments in hardware systems of active upper-limb exoskeleton robots: A review,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Developments in hardware systems of active upper-limb exoskeleton robots: A review,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.127167Z
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.
Observation 0287980d-f88b-4074-8493-a553ca8720c0 · outbound
This paper cites Control strategies used in lower limb ex- oskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Control strategies used in lower limb ex- oskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.110185Z
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.
Observation c85a56b3-dcc1-4f92-96a8-acaef1208685 · outbound
This paper cites An adaptive assistance controller to optimize the exoskeleton contribution in rehabilitation,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights An adaptive assistance controller to optimize the exoskeleton contribution in rehabilitation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.094394Z
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.
Observation e28d6f99-6565-459c-9b1b-a2bd1cae8fa0 · outbound
This paper cites Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:23.078115Z
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.
Observation 4014461a-b239-4ed1-aff4-49f5a3e3ba6e · outbound
This paper cites Personal- izing exoskeleton assistance while walking in the real world,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Personal- izing exoskeleton assistance while walking in the real world,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.949109Z
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.
Observation d52d351c-231c-4044-b730-3edf7b9f02cf · outbound
This paper cites Human-in-the-loop optimiza- tion of shared autonomy in assistive robotics,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Human-in-the-loop optimiza- tion of shared autonomy in assistive robotics,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.878899Z
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.
Observation 76f2d1d9-2a03-40b9-9a65-7734ff222668 · outbound
This paper cites Design of fuzzy logic parameter tuners for upper-limb assistive robots,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Design of fuzzy logic parameter tuners for upper-limb assistive robots,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.861796Z
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.
Observation d225290b-aea5-4181-b29e-976917072baa · outbound
This paper cites Myomo – The MyoPro Brace for Stroke Survivor’s Paralyzed Arm.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Myomo – The MyoPro Brace for Stroke Survivor’s Paralyzed Arm
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.812257Z
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.
Observation 30f3234a-99bc-4390-bec4-8d2f66951185 · outbound
This paper cites Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:22.569335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 874313e5-7ee5-408b-9697-a41fba4cdd4e · outbound
This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:22.574426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c17f3c41-2aa2-4a4c-bbd5-1af9f3f2484f · outbound
This paper cites Batch reinforcement learning,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Batch reinforcement learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.781424Z
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.
Observation 6fbadfc4-1c41-4d66-b106-9477bac381e3 · outbound
This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Value-Decomposition Networks For Cooperative Multi-Agent Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:22.583804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce904cce-f40d-4a3d-ba76-d3b393a83388 · outbound
This paper cites Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.763250Z
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.
Observation cda62f10-4c4f-4c53-8961-c6eeb494d5b7 · outbound
This paper cites Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.746455Z
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.
Observation 704eb61e-9a28-4e88-9ab0-2eb2e0e7b400 · outbound
This paper cites Weighted qmix: Expanding monotonic value function factorisation for deep multi-agent reinforcement learning,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Weighted qmix: Expanding monotonic value function factorisation for deep multi-agent reinforcement learning,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.730246Z
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.
Observation ab47f28b-8892-4db1-8970-84f9ac834cee · outbound
This paper cites Continuous control with deep reinforcement learning.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Continuous control with deep reinforcement learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:22.602655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72398cb3-1510-47c7-a09d-0ad928e71f9d · outbound
This paper cites Investigating the generalizability of assistive robots models over various tasks,.
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights Investigating the generalizability of assistive robots models over various tasks,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:52:22.714647Z
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.
Pith citing papers
No inbound Pith citation observations are available.