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Paper Citation Record · LEDGER

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 8 inbound Pith citation observations for arXiv:2510.07152.

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

pith.paper-citation-record.v1
2510.07152 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:03:12.086515Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:59:56.798235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:38.545525Z

Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation 45e1818d-07fa-4078-9889-bb3ff77b2101 · outbound

This paper cites Robot Parkour Learning.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Robot Parkour Learning

Reference 1

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Observation e2c302d4-e975-42c1-b342-9c32b64bf6d1 · outbound

This paper cites Humanoid Parkour Learning.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Humanoid Parkour Learning

Reference 2

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source=pdf_text observed=2026-08-04T11:03:08.789406Z digest=sha256:0a15e8f1e6f181e8bad9e3adae5d91457837ac1f3519c4b70ee43c81970f5391

Observation 750b9ad7-8a3d-4ac5-9dd1-c379cc0694fb · outbound

This paper cites Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds

Reference 3

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Observation 7acb9633-b695-4d69-b2a6-09416380ff52 · outbound

This paper cites Pie: Parkour with implicit-explicit learning framework for legged robots,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Pie: Parkour with implicit-explicit learning framework for legged robots,

Reference 4

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source=pdf_text observed=2026-08-04T11:03:09.105256Z digest=sha256:9fe8518534ee396b07fe9b542cdb55e1000251cc6d1f9356b4633dcdb930906b

Observation f9319583-d7fd-4216-b40e-48e121620e32 · outbound

This paper cites Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning

Reference 5

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Observation 30f7bdca-31f8-40cc-aec0-00ed36db7b1b · outbound

This paper cites Learning vision-based bipedal locomotion for challenging terrain,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Learning vision-based bipedal locomotion for challenging terrain,

Reference 6

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Observation a1dd4e64-68ac-416b-ac0f-8a7a5b03197e · outbound

This paper cites Attention-based map encoding for learning generalized legged loco- motion,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Attention-based map encoding for learning generalized legged loco- motion,

Reference 7

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Observation 3e4a7f56-62af-4e0f-b593-503ef742488a · outbound

This paper cites Visual Imitation Enables Contextual Humanoid Control.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Visual Imitation Enables Contextual Humanoid Control

Reference 8

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source=pdf_text observed=2026-08-04T11:03:09.602028Z digest=sha256:5e894778632068339f1a60eca95d76b47a58ae0f1c10e588b23eefa2d28f0856

Observation 329c950a-a309-4bb6-883e-6725119e013c · outbound

This paper cites Learning Perceptive Humanoid Locomotion over Challenging Terrain.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Learning Perceptive Humanoid Locomotion over Challenging Terrain

Reference 9

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source=pdf_text observed=2026-08-04T11:03:09.723069Z digest=sha256:e41eb62939ca1aaa6d8b44075ff30cbdb1451c7e7e69b198c378e1541ee9a3a6

Observation c521ed07-525d-4bbf-8bcb-4bc57dbbc8cb · outbound

This paper cites Learning humanoid locomotion with perceptive internal model,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Learning humanoid locomotion with perceptive internal model,

Reference 10

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source=pdf_text observed=2026-08-04T11:03:09.833985Z digest=sha256:f0c2034af578633cc21256bfe518bccee06bfef6c47d46542ac1228e01a3b9f2

Observation d3d47bbe-c27f-45b9-b8a1-ec8d1973e904 · outbound

This paper cites BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds

Reference 11

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Observation 87a9e6f9-65d3-4e2c-b030-9f2e68854e54 · outbound

This paper cites Vision-guided quadrupedal locomotion in the wild with multi-modal delay randomization,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Vision-guided quadrupedal locomotion in the wild with multi-modal delay randomization,

Reference 12

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Observation a177f7bf-6549-45b0-95e0-a475bdf6090f · outbound

This paper cites Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

Reference 13

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Observation 6ebafe9d-f0dd-4993-8419-a4f2070f3a4b · outbound

This paper cites Extreme parkour with legged robots,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Extreme parkour with legged robots,

Reference 14

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source=pdf_text observed=2026-08-04T11:03:10.446324Z digest=sha256:9cf792dd7cfd8c5938c9a480cc45aa772f0552ea38bf2e9bc6cd8fca887f6b6d

Observation 522cdbdd-760a-46ad-b5e2-7003e268af78 · outbound

This paper cites Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion

Reference 15

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Observation 7c53a4c3-2f66-4714-9156-bf8f6ecf7b9d · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Anymal parkour: Learning agile navigation for quadrupedal robots,

Reference 16

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Observation ccddef0d-df01-4b92-a894-7f4bc2a56677 · outbound

This paper cites Neural scene representation for locomotion on structured terrain,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Neural scene representation for locomotion on structured terrain,

Reference 17

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Observation 1d7ff9b3-0bb0-4d03-bf87-bb3457f8641b · outbound

This paper cites Learning autonomous and safe quadruped traversal of complex terrains using multi-layer elevation maps,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Learning autonomous and safe quadruped traversal of complex terrains using multi-layer elevation maps,

Reference 18

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Observation 4ced6b35-67af-40b0-86ec-1bf9698c651f · outbound

This paper cites Amp: Adversarial motion priors for stylized physics-based character con- trol,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Amp: Adversarial motion priors for stylized physics-based character con- trol,

Reference 19

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Observation 01542688-ca58-4496-9a44-fa74d4c19426 · outbound

This paper cites Whole-body Humanoid Robot Locomotion with Human Reference.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Whole-body Humanoid Robot Locomotion with Human Reference

Reference 20

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Observation 7a89780c-c74a-4958-b89a-d7df0d3f5ada · outbound

This paper cites Proximal Policy Optimization Algorithms.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Proximal Policy Optimization Algorithms

Reference 21

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Observation 38086e23-da6e-4e78-95ed-44e3c4bf14da · outbound

This paper cites Modeling kinect sensor noise for improved 3d reconstruction and tracking,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Modeling kinect sensor noise for improved 3d reconstruction and tracking,

Reference 22

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Observation dd7656f4-8f14-4cf5-8abb-2aa63ea14079 · outbound

This paper cites Accuracy and resolution of kinect depth data for indoor mapping applications,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Accuracy and resolution of kinect depth data for indoor mapping applications,

Reference 23

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Observation 9de47eba-d232-4536-bf61-43ab9e20ad3d · outbound

This paper cites Characterizations of noise in kinect depth images: A review,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Characterizations of noise in kinect depth images: A review,

Reference 24

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Observation d0b693dc-6839-4cd3-b0f5-3d18ca798a65 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 25

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Observation c3dd0ce1-8665-4a91-a307-6e9591c50bc5 · outbound

This paper cites Elevation mapping for locomotion and navigation using gpu,.

DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Elevation mapping for locomotion and navigation using gpu,

Reference 26

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Pith citing papers

Observation 1b197dc8-9630-471b-9de7-d884e354eb21 · inbound

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels cites this paper.

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 47

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arxiv_id, observed 2026-08-04T02:39:35.287275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation aba30e90-822a-4ab8-8724-66ebeca77409 · inbound

Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching cites this paper.

Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 35

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Observation 39b4fa17-40bf-4136-a80c-be27d4e0f093 · inbound

SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World cites this paper.

SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 6

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Observation ba81bf06-9d22-4ee0-97e5-3a57c4266e0f · inbound

Global-Local Attention Decomposition for Terrain Encoding in Humanoid Perceptive Locomotion cites this paper.

Global-Local Attention Decomposition for Terrain Encoding in Humanoid Perceptive Locomotion DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 36ceadeb-4a6b-4519-a8bf-8f334d439420 · inbound

TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion cites this paper.

TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 31

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 133eb90c-2b82-4602-acca-d95ed2b51aad · inbound

VAIC: Vision-Guided Humanoid Agile Object Interaction Control via Decoupled Commands cites this paper.

VAIC: Vision-Guided Humanoid Agile Object Interaction Control via Decoupled Commands DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 46

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T16:38:21.947099Z digest=sha256:ce40c437374bece2931efade810e6c24f69c183e6cf9861b583c28da7b2a4d9f

Observation b43fa27c-9b63-42d6-b895-4d3151576149 · inbound

MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds cites this paper.

MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:28:36.443684Z digest=sha256:32e6ae0da6f2dca9dfac3d027abbbfb427263d2e79b2176373c03a1dc31cf858

Observation c36aab81-59bd-4fe3-ade4-e51c187bf779 · inbound

Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation cites this paper.

Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction

Reference 30

Resolution
unresolved
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