Paper Citation Record · LEDGER

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.16983.

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

pith.paper-citation-record.v1
2507.16983 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:25.567777Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

14 of 14 outbound references displayed

verified exact1
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c7b7150-13de-445d-8247-7a83e1cb4905 · outbound

This paper cites Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:28.206970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7aff059c-a35d-499e-9e26-c01996cd8e00 · outbound

This paper cites Walking adaptability after a stroke and its assessment in clinical settings,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Walking adaptability after a stroke and its assessment in clinical settings,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:28.003317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4350b316-986a-4b72-8335-72f9c0b80e3f · outbound

This paper cites Review of control strategies for lower-limb exoskeletons to assist gait,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Review of control strategies for lower-limb exoskeletons to assist gait,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:27.757931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4cf89bb-5d02-4d81-bc92-3a8a92c6d5f6 · outbound

This paper cites Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:03:25.721528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d11f5ffb-7235-4c4e-bbb3-abf024d43ff9 · outbound

This paper cites an unresolved cited work.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:03:27.570701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a79047d7-4132-4688-b541-c1f56c6f2d08 · outbound

This paper cites Gamma-Nets: Generalizing value estimation over timescale,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Gamma-Nets: Generalizing value estimation over timescale,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:27.394948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06114b63-cfe9-49f7-8288-9ef81ecc6d04 · outbound

This paper cites Experience replay for continual learning,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Experience replay for continual learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:27.132030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 546f59c5-b9f2-498e-8aa0-a6df065e0eb8 · outbound

This paper cites Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.999462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75ec9867-ceb0-4a3c-a420-663774e2f210 · outbound

This paper cites Pavlovian control of intraspinal microstimulation to produce over-ground walking,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Pavlovian control of intraspinal microstimulation to produce over-ground walking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.832085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5353b9f8-33a7-4424-8de4-4e9b222e2743 · outbound

This paper cites Sutton and Andrew G.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Sutton and Andrew G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.657585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75e0674f-b71c-461a-b4c0-dcdfe1872d96 · outbound

This paper cites Developing a predictive approach to knowledge.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Developing a predictive approach to knowledge

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.445766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6423d6c7-dc13-43fc-97ce-fa8a61bb1cb4 · outbound

This paper cites Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.264731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7495e603-f97d-4f97-b73c-519e9bf5eb06 · outbound

This paper cites Learning to predict by the methods of temporal differences,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Learning to predict by the methods of temporal differences,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:26.057552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57608c85-a050-49a4-8fc8-6f6fe6e83142 · outbound

This paper cites True online temporal-difference learning,.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals True online temporal-difference learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:25.887408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.