Paper Citation Record · LEDGER

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.06008.

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

pith.paper-citation-record.v1
2608.06008 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:25:51.383202Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

19 of 19 outbound references displayed

verified exact2
verified fuzzy3
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a95fcd14-a47f-445b-b5dc-410b0a3670d1 · outbound

This paper cites DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.323654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3945ebb7-3aad-4bb0-895a-dc5011573479 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.332267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac254dee-5964-4374-867b-ae10eb1698ec · outbound

This paper cites DriveVA: Video Action Models are Zero-Shot Drivers.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DriveVA: Video Action Models are Zero-Shot Drivers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.336494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f70362bc-c593-4a77-89ab-c440a6572ee4 · outbound

This paper cites Min, C.; Zhao, D.; Xiao, L.; Zhao, J.; Xu, X.; Zhu, Z.; Jin, L.; Li, J.; Guo, Y.; Xing, J.; et al.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Min, C.; Zhao, D.; Xiao, L.; Zhao, J.; Xu, X.; Zhu, Z.; Jin, L.; Li, J.; Guo, Y.; Xing, J.; et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.340632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4966ccf9-bac4-4e96-804b-5d3d9e12715f · outbound

This paper cites Peebles,W.;andXie,S.2023.Scalablediffusionmodelswith transformers.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Peebles,W.;andXie,S.2023.Scalablediffusionmodelswith transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:25:52.189281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83c2c40b-9fcc-4bd4-8244-1c9be50cae26 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.348664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e38182d-e859-4a5e-a418-d9a62be343ba · outbound

This paper cites DriveLaW:Unifying Planning and Video Generation in a Latent Driving World.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DriveLaW:Unifying Planning and Video Generation in a Latent Driving World

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.357532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f8a5cd-22d6-4af8-bf4a-56da8def0510 · outbound

This paper cites InProceedings of the Computer Vision and Pattern Recognition Conference, 1602–1611.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features InProceedings of the Computer Vision and Pattern Recognition Conference, 1602–1611

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:25:52.174399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5a9a117-1fd9-4d38-94b5-5cb6bf2b8bc5 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.366894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c628402-0b23-4d33-a30e-39d63684f165 · outbound

This paper cites Doe-1: Closed-Loop Autonomous Driving with Large World Model.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.371435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9f879d-2d7f-42f1-a167-b29ac582e0a2 · outbound

This paper cites No observed future latent, unconditional classifier-free-guidance branch, or video VAE decoding is used by the planning path.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features No observed future latent, unconditional classifier-free-guidance branch, or video VAE decoding is used by the planning path

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:25:52.157198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b7af126-81ae-476b-88da-888eb9b80efa · outbound

This paper cites an unresolved cited work.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Unresolved cited work

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T18:25:51.802475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b89d04f5-c218-4b53-b688-f317d847fa57 · outbound

This paper cites Exit by B15.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features Exit by B15

Reference 90

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T18:25:51.626145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d00bd3a9-eb00-4e5c-b0c7-ee835962308e · outbound

This paper cites BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.353142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d7f213-106e-41c2-9cf8-aa18dd5ee6df · outbound

This paper cites OmniNWM: Omniscient Driving Navigation World Models.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features OmniNWM: Omniscient Driving Navigation World Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.327964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9117e26b-04e0-4561-aacb-fd122200ac66 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.314451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b644fd2-b022-4b21-b7c0-e39d6b3115d6 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features GAIA-1: A Generative World Model for Autonomous Driving

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.318844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c079b5-8d4b-461f-99cd-a960adf1d6c0 · outbound

This paper cites VaViM and VaVAM: Autonomous Driving through Video Generative Modeling.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.309965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d525c57-86a0-4cab-99d1-8c7995d90977 · outbound

This paper cites CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.304858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.