Paper Citation Record · LEDGER

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.02206.

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

pith.paper-citation-record.v1
2506.02206 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:50.317068Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:35:37.040638Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy26
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e55a5b1-3656-4b35-a091-6a474d898f24 · outbound

This paper cites Introduction of the Foot Placement Estimator: A Dynamic Measure of Balance for Bipedal Robotics,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Introduction of the Foot Placement Estimator: A Dynamic Measure of Balance for Bipedal Robotics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:57.551834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e184e266-55c1-446f-a646-fa74e451b99a · outbound

This paper cites Navigation planning for legged robots in challenging terrain,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Navigation planning for legged robots in challenging terrain,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:57.306213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 787cc79f-2b84-4667-857e-08cc2e5eca42 · outbound

This paper cites Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:46.171453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d458b8-00df-4988-b1d6-6210be1fec8c · outbound

This paper cites Exact cell decomposition of arrangements used for path planning in robotics,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Exact cell decomposition of arrangements used for path planning in robotics,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:57.032791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91759f8a-8b67-4a89-a046-423966bdbc46 · outbound

This paper cites An overview of autonomous mobile robot path planning algorithms,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation An overview of autonomous mobile robot path planning algorithms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:56.783635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d231c70e-f21f-46b6-ad9c-740947232dfc · outbound

This paper cites Path planning and trajectory planning algorithms: A general overview,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Path planning and trajectory planning algorithms: A general overview,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:56.536460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 506751ae-76fb-4abb-bdf9-83af3c55f446 · outbound

This paper cites Confidence random tree- based algorithm for mobile robot path planning considering the path length and safety,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Confidence random tree- based algorithm for mobile robot path planning considering the path length and safety,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:56.205520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cccc64f7-cb5b-4dcd-a7eb-6f09f0d3a155 · outbound

This paper cites Optimization-based motion planning for legged robots,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Optimization-based motion planning for legged robots,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:55.930491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1fe19592-9ca4-4e45-b327-3d3130da7bb5 · outbound

This paper cites Integrated task and motion planning for safe legged navigation in partially observable environments,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Integrated task and motion planning for safe legged navigation in partially observable environments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:55.644239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 185c0dd2-a53c-4d03-9b02-a89681136225 · outbound

This paper cites Unified Path and Gait Planning for Safe Bipedal Robot Navigation.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Unified Path and Gait Planning for Safe Bipedal Robot Navigation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:33:50.614740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee89f1e1-1319-4112-901e-3f9ca352ce98 · outbound

This paper cites Fast direct multiple shooting algorithms for optimal robot control,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Fast direct multiple shooting algorithms for optimal robot control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:55.421021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a83a47b-1afa-4501-b94b-438e51b99606 · outbound

This paper cites Using optimization to create self-stable human-like running,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Using optimization to create self-stable human-like running,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:55.146851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4073e0d1-07d9-4e0d-81eb-8374028d13bf · outbound

This paper cites Whole-body motion planning with centroidal dynamics and full kinematics,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Whole-body motion planning with centroidal dynamics and full kinematics,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:54.878671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad922e4f-c540-40af-b183-2aefc9c91cae · outbound

This paper cites The 3d linear inverted pendulum mode: A simple modeling for a biped walking pattern generation,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation The 3d linear inverted pendulum mode: A simple modeling for a biped walking pattern generation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:54.561134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 339963da-d9e3-4b9f-8617-f27af015526f · outbound

This paper cites Bipedal walking control based on capture point dynamics,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Bipedal walking control based on capture point dynamics,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:54.298431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a56aac47-df3a-4a49-aeea-6703e77f7eff · outbound

This paper cites Nonlinear model predictive control for rough-terrain robot hopping,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Nonlinear model predictive control for rough-terrain robot hopping,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:54.040334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbcb9620-946d-467a-9667-d332fcf5a736 · outbound

This paper cites Perceptive locomotion through nonlinear model-predictive control,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Perceptive locomotion through nonlinear model-predictive control,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:48.116002Z

Source-reported events for the cited work

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Observation c1f7cd1c-0a89-480b-b5ec-f3d9243b81f6 · outbound

This paper cites Model predictive control for dynamic footstep adjustment using the divergent component of motion,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Model predictive control for dynamic footstep adjustment using the divergent component of motion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:53.786744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 566d52c9-0baa-45f1-ae10-292bcd563abf · outbound

This paper cites A sequential mpc approach to reactive planning for bipedal robots using safe corridors in highly cluttered environments,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation A sequential mpc approach to reactive planning for bipedal robots using safe corridors in highly cluttered environments,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:48.362816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a85c47e-894c-43b0-a189-b32e9e7d9491 · outbound

This paper cites Real-time safe bipedal robot navigation using linear discrete control barrier functions,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Real-time safe bipedal robot navigation using linear discrete control barrier functions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:53.514967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4076a78d-f047-4957-b732-9d468378f1f2 · outbound

This paper cites Apprenticeship learning via inverse rein- forcement learning,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Apprenticeship learning via inverse rein- forcement learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:48.595799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5c7f4f-a9f7-4c4a-bd3d-8e2a1b241ac1 · outbound

This paper cites Apprenticeship learning using linear programming,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Apprenticeship learning using linear programming,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:53.238377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eaa33a93-53ab-4b61-918f-3256a4af3882 · outbound

This paper cites Generative adversarial imitation learning,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Generative adversarial imitation learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:48.843022Z

Source-reported events for the cited work

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Observation a9d0184d-8bb5-4e04-be9a-4bd07c948efb · outbound

This paper cites Goal-oriented obstacle avoid- ance with deep reinforcement learning in continuous action space,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Goal-oriented obstacle avoid- ance with deep reinforcement learning in continuous action space,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:52.999533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32780fab-6113-4503-bb13-19ae90ccba2e · outbound

This paper cites Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:49.072122Z

Source-reported events for the cited work

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Observation 5cb83d8d-a174-43ae-88c1-8d1898170a7e · outbound

This paper cites Robot navigation in constrained pedestrian environments using reinforcement learning,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Robot navigation in constrained pedestrian environments using reinforcement learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:52.724840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 072de955-c836-4511-9ba6-135d96e9f8a8 · outbound

This paper cites A hierarchical deep reinforcement learning framework with high efficiency and generalization for fast and safe navigation,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation A hierarchical deep reinforcement learning framework with high efficiency and generalization for fast and safe navigation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:52.486999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2b485ca-9249-46b1-8473-6464a8bded44 · outbound

This paper cites Drl-vo: Learning to navigate through crowded dynamic scenes using velocity obstacles,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Drl-vo: Learning to navigate through crowded dynamic scenes using velocity obstacles,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:52.209570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40c9287a-bc88-4cbb-8fe5-282da52f7ce6 · outbound

This paper cites Efficient deep reinforcement learning with imitative expert priors for autonomous driving,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Efficient deep reinforcement learning with imitative expert priors for autonomous driving,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:51.950891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a35d118-85a1-466f-952a-eb6c61418154 · outbound

This paper cites Pre-training goal-based models for sample-efficient reinforcement learning,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Pre-training goal-based models for sample-efficient reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:51.691359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80730197-6df9-4edf-a685-df9ee676e76f · outbound

This paper cites Deep q- learning from demonstrations,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Deep q- learning from demonstrations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:51.413355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c54604b-f17c-43a5-8cb0-8778ed0b5ecc · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 32

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Observation 5b7a965f-8aab-4297-bc93-4da4edbc2279 · outbound

This paper cites Template model inspired task space learning for robust bipedal locomotion,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Template model inspired task space learning for robust bipedal locomotion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:51.141854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4b73840-65c4-4e0a-94c3-20e761fdb8b3 · outbound

This paper cites Conservative q- learning for offline reinforcement learning,.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Conservative q- learning for offline reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:50.895121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a809ba34-adc7-45de-8f63-eb05135ab05c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation Proximal Policy Optimization Algorithms

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:50.317068Z

Source-reported events for the cited work

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Pith citing papers

Observation b3964702-4ab5-47bb-ba95-e3886eecbf7c · inbound

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC cites this paper.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:35:37.040638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.