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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.15701.

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

pith.paper-citation-record.v1
2607.15701 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:35:38.447572Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation 6198e1c9-27bd-4c90-b95f-6c1b481e6b9a · outbound

This paper cites Compass: Cross-embodiment mobility policy via residual rl and skill synthesis,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Compass: Cross-embodiment mobility policy via residual rl and skill synthesis,

Reference 1

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Observation baf4f46a-73bd-4fd3-acf2-e25166cb3cfa · outbound

This paper cites ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots

Reference 2

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source=pdf_text observed=2026-08-01T22:35:36.740098Z digest=sha256:96a0b7d7f77ccb43d4a195b3d811aaea6ecf9c118ba1384d04702ab49db69824

Observation 45760243-a467-42ac-83af-7364a9163241 · outbound

This paper cites Robot Parkour Learning.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Robot Parkour Learning

Reference 3

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Observation 2a4f1552-85e4-44ca-9d18-cf363ecc169a · outbound

This paper cites Model predictive control with visibility graphs for humanoid path planning and tracking against adversarial opponents,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Model predictive control with visibility graphs for humanoid path planning and tracking against adversarial opponents,

Reference 4

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source=pdf_text observed=2026-08-01T22:35:36.924734Z digest=sha256:3f18bd85813397c84616c9253a6a5a89c356134b4a3b19b6b93c22912981c83c

Observation f56bb94e-2b2a-4a2d-ab72-0f7f393b3ce4 · outbound

This paper cites Lto: lazy trajectory opti- mization with graph-search planning for high dof robots in cluttered environments,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Lto: lazy trajectory opti- mization with graph-search planning for high dof robots in cluttered environments,

Reference 5

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source=pdf_text observed=2026-08-01T22:35:36.988018Z digest=sha256:5e568a04fb8319aafbab1590d04464a6f9b58e98e201a238cb06911f32addd22

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

This paper cites Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation.

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

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source=pdf_text observed=2026-08-01T22:35:37.040638Z digest=sha256:3fdb8c3ac94a9ded3a3f77f6d7555652d075b2f51507d101b342240c1a55d34c

Observation 25470b52-67d1-4e1c-a5d6-0bd809000a9b · outbound

This paper cites Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints

Reference 7

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source=pdf_text observed=2026-08-01T22:35:37.157569Z digest=sha256:f8038e37ef7f0f990e0e26153e6b00710103f0485677e5a0ef22571597278c19

Observation 971006fe-2343-4320-896d-ff2e8f7e0d0e · outbound

This paper cites Robot navigation with reinforcement learned path generation and fine-tuned motion control,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Robot navigation with reinforcement learned path generation and fine-tuned motion control,

Reference 8

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source=pdf_text observed=2026-08-01T22:35:37.254221Z digest=sha256:5c9ff54ee9d6a1f45719dd07d3f1870a0354ff2d2acaed088304616a086af2bc

Observation 552d55ff-da37-46a2-9d0d-199328349152 · outbound

This paper cites Residual Reinforcement Learning for Robot Control.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Residual Reinforcement Learning for Robot Control

Reference 9

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source=pdf_text observed=2026-08-01T22:35:37.354247Z digest=sha256:a8573217a77e39c76028905e4675471ee1ee57a98181ffb3c56e0d657cddcd57

Observation 9314c32e-3602-4c4c-9687-560ffcb7cdde · outbound

This paper cites Mpc-net: A first principles guided policy search,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Mpc-net: A first principles guided policy search,

Reference 10

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source=pdf_text observed=2026-08-01T22:35:37.521175Z digest=sha256:0cb2c05c814b53041618d0cc8f598a2e839c9022ba99babf4ccd7f9aebc1b53f

Observation 0609a385-62f8-4f31-8fed-b4e4d8b7046a · outbound

This paper cites Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search

Reference 11

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source=pdf_text observed=2026-08-01T22:35:37.605793Z digest=sha256:721bb261e48174b455e22e1859d07c5c89cf2ffaa846172a182b0823e9ff19a8

Observation de845e71-9e7b-4d0d-8911-49f0d2debe26 · outbound

This paper cites Hybrid Classical/RL Local Planner for Ground Robot Navigation.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Hybrid Classical/RL Local Planner for Ground Robot Navigation

Reference 12

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source=pdf_text observed=2026-08-01T22:35:37.691488Z digest=sha256:647364f0e98e25b812ffafa3f6bee7294c4fd417fdd8f5dd687d8a11257bde25

Observation ac782307-5d28-441c-9142-045965f28d9e · outbound

This paper cites Safe reinforcement learning via statistical model predictive shielding.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Safe reinforcement learning via statistical model predictive shielding

Reference 13

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source=pdf_text observed=2026-08-01T22:35:37.773418Z digest=sha256:929dfa28b964b3532fe74c29cb954961945d41019d12ec6b934ac7325f8e8438

Observation 0e587481-afaf-46ee-8757-9f1990da59da · outbound

This paper cites Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,

Reference 14

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source=pdf_text observed=2026-08-01T22:35:37.890047Z digest=sha256:af1a62dc9f58774a2883e66020e7a9d3ef710f0612fb26970e84187ca33c13ed

Observation a18966c4-077b-40cc-9ce5-54a1ceaa4e6c · outbound

This paper cites Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice

Reference 15

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source=pdf_text observed=2026-08-01T22:35:37.898188Z digest=sha256:fd57e570a1a9a4950a8872b1494efc6d07f57627f1b08bed2313f790e7fee9ba

Observation 7a759445-0bc7-4ea2-9868-6796b461f70b · outbound

This paper cites Automated tuning of nonlinear model predictive controller by reinforcement learning,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Automated tuning of nonlinear model predictive controller by reinforcement learning,

Reference 16

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source=pdf_text observed=2026-08-01T22:35:37.963712Z digest=sha256:65e34eebc0c9c39fb33c4cf1ba9d5c7ae8a105db099d093dbb894a2bc6cbb20d

Observation 755b11a7-98b3-4908-82da-92a5e415afe9 · outbound

This paper cites A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control

Reference 17

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Observation e30f0fbd-3228-4502-a926-0f1bf951230c · outbound

This paper cites Actor- critic model predictive control: Differentiable optimization meets reinforcement learning for agile flight,.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Actor- critic model predictive control: Differentiable optimization meets reinforcement learning for agile flight,

Reference 18

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Observation 1c66678b-2d94-41ec-9d6c-68a3a1cc3f68 · outbound

This paper cites Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.