Paper Citation Record · LEDGER

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.01221.

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

pith.paper-citation-record.v1
2608.01221 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:30:09.037820Z

measured 13 of 13 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.

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

13 of 13 outbound references displayed

verified exact1
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32782625-100b-467c-8b64-f840b11318bc · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.089921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f14bef5-3ec1-4761-b1f1-15b067ac7c5e · outbound

This paper cites Motus: A Unified Latent Action World Model.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Motus: A Unified Latent Action World Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.173080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 203d8ed6-7d8f-4e54-95ed-ae6a5d4ba20a · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.276319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf59f4e-f1ec-4739-bb61-d4480c1d34c0 · outbound

This paper cites GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.379265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9816e9bb-d297-488e-94aa-3b7d5fe1a34b · outbound

This paper cites Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.523573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b10e59-51e2-4984-9c75-35f4cf1192db · outbound

This paper cites BiliVLA: Scene-Aware Vision-Language-Action Model with Reinforcement Learning for Autonomous Biliary Endoscopic Navigation.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation BiliVLA: Scene-Aware Vision-Language-Action Model with Reinforcement Learning for Autonomous Biliary Endoscopic Navigation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:30:09.366239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f3ad506-b0ea-4e8e-9c0d-126008f85abf · outbound

This paper cites Ma,T.;Zheng,J.;Wang,Z.;Jiang,C.;Cui,A.;Liang,J.;and Yang,S.2026.Dit4dit:Jointlymodelingvideodynamicsand actions for generalizable robot control.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Ma,T.;Zheng,J.;Wang,Z.;Jiang,C.;Cui,A.;Liang,J.;and Yang,S.2026.Dit4dit:Jointlymodelingvideodynamicsand actions for generalizable robot control

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.794747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3528a9-9a6d-477e-9437-b8c2a6af53d9 · outbound

This paper cites ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.940833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04edfc55-9b84-45c0-973e-2c032ef840ad · outbound

This paper cites arXiv:2603.17240.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation arXiv:2603.17240

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:09.037820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594d319b-8c93-4108-b6bf-36b483d5c1d2 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.446407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d91e27-1e85-4292-ab4d-2d562b84a340 · outbound

This paper cites Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.872892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c8caca-bfe0-4fb1-b5bd-2ea4d7363ef3 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Cosmos World Foundation Model Platform for Physical AI

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.004735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41dd09bb-384f-4657-bdb9-bcae5fe01246 · outbound

This paper cites Causal World Modeling for Robot Control.

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation Causal World Modeling for Robot Control

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:08.621080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.