Paper Citation Record · LEDGER

Legged Locomotion in Challenging Terrains using Egocentric Vision

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.07638.

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

pith.paper-citation-record.v1
2211.07638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:48:56.335265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:27:24.748872Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 97c9e7eb-271c-48dc-95e4-2a1ec1fbef26 · inbound

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning cites this paper.

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T16:06:09.791614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a84cf0d-7b03-494f-8f1d-c27857228b97 · inbound

Visual Imitation Enables Contextual Humanoid Control cites this paper.

Visual Imitation Enables Contextual Humanoid Control Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:48:56.335265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e3dfd4-f02a-4e74-81f9-b760ebb9c508 · inbound

PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter cites this paper.

PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:21.951629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f7578a-07f4-4020-8dc2-cdd11557d52b · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.646273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3f2d151-a467-441d-a046-6287f12cdc80 · inbound

TACT-ful: Multi-Channel Terrain Affordance and Compliance Training for Payload-Robust Perceptive Humanoid Locomotion cites this paper.

TACT-ful: Multi-Channel Terrain Affordance and Compliance Training for Payload-Robust Perceptive Humanoid Locomotion Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:27:24.750448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d012151-1dce-412f-b267-858f37b52701 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Legged Locomotion in Challenging Terrains using Egocentric Vision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:26.329490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.