Paper Citation Record · LEDGER

ReWorld: Learning Better Representations for World Action Models

As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2606.27504.

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

pith.paper-citation-record.v1
2606.27504 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:58:46.435886Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

34 of 34 outbound references displayed

verified exact31
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2300a97e-1fd5-463e-9f7a-31074c28de9b · outbound

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

ReWorld: Learning Better Representations for World Action Models Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.447066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19aebfc4-fed5-49c2-bb3c-1d2437642a8b · outbound

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

ReWorld: Learning Better Representations for World Action Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.457110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ca196900-c581-4651-89d5-20a38da638b7 · outbound

This paper cites Latent forcing: Reordering the diffusion trajectory for pixel-space image generation.

ReWorld: Learning Better Representations for World Action Models Latent forcing: Reordering the diffusion trajectory for pixel-space image generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.447642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44c1b504-bba6-4485-a0b8-5d631976042e · outbound

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

ReWorld: Learning Better Representations for World Action Models VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.452771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6e30b10d-7886-4edb-b46d-647a06bf21ce · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

ReWorld: Learning Better Representations for World Action Models NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.405235Z

Source-reported events for the cited work

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Observation efc3d027-e71e-472a-bb91-5b9c9a63f866 · outbound

This paper cites arXiv preprint arXiv:2603.06507 (2026).

ReWorld: Learning Better Representations for World Action Models arXiv preprint arXiv:2603.06507 (2026)

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:25:58.442023Z

Source-reported events for the cited work

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Observation 0b2875d6-4151-45af-8e1b-b331838192fa · outbound

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

ReWorld: Learning Better Representations for World Action Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:25:58.424971Z

Source-reported events for the cited work

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Observation 4c339da3-9b60-42dc-89f4-6e2ae175aef8 · outbound

This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.

ReWorld: Learning Better Representations for World Action Models Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.427995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0bd5c952-fb5c-477f-89db-4cbb9bf8345d · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

ReWorld: Learning Better Representations for World Action Models MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.413885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a7d75747-c16f-4747-8c35-fab976f7380f · outbound

This paper cites Bridging scene generation and planning: Driving with world model via unifying vision and motion representation.arXiv preprint arXiv:2603.14948.

ReWorld: Learning Better Representations for World Action Models Bridging scene generation and planning: Driving with world model via unifying vision and motion representation.arXiv preprint arXiv:2603.14948

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.410786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 89427131-e1a6-4272-901f-3792c54795eb · outbound

This paper cites Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency.

ReWorld: Learning Better Representations for World Action Models Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.424941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e7f042c6-7be8-40f3-ab5e-bdddf57dc062 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

ReWorld: Learning Better Representations for World Action Models LTX-Video: Realtime Video Latent Diffusion

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.419038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 50ae2788-a262-4869-8393-911f4ac85254 · outbound

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

ReWorld: Learning Better Representations for World Action Models GAIA-1: A Generative World Model for Autonomous Driving

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.416525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 65caf253-8d1a-4484-80ba-1f9f3b3d8e86 · outbound

This paper cites Auto-Encoding Variational Bayes.

ReWorld: Learning Better Representations for World Action Models Auto-Encoding Variational Bayes

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.388126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e5c3924c-62ee-4d6f-b5e2-693db719cc3b · outbound

This paper cites OmniNWM: Omniscient Driving Navigation World Models.

ReWorld: Learning Better Representations for World Action Models OmniNWM: Omniscient Driving Navigation World Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.402506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8d1c1359-acce-4e39-be2a-d1fded17eddb · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

ReWorld: Learning Better Representations for World Action Models Depth Anything 3: Recovering the Visual Space from Any Views

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.407902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3894506c-6142-4b3f-9ec6-584fcdaf5bd6 · outbound

This paper cites Flow Matching for Generative Modeling.

ReWorld: Learning Better Representations for World Action Models Flow Matching for Generative Modeling

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.413952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 62bcd138-de57-4696-9d91-c67d7d7afedd · outbound

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

ReWorld: Learning Better Representations for World Action Models DriveVA: Video Action Models are Zero-Shot Drivers

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.419741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ac4c92d-9d61-4cca-8db7-a6c9bf98fc72 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

ReWorld: Learning Better Representations for World Action Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.439030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3455965d-697c-408c-911e-7879b5367f59 · outbound

This paper cites ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction.

ReWorld: Learning Better Representations for World Action Models ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.394390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79d4b53c-d5f5-4623-a298-0373403f68dd · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

ReWorld: Learning Better Representations for World Action Models DINOv2: Learning Robust Visual Features without Supervision

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.444664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b1c3300-40b9-42eb-a12f-c03a8e91ee4a · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

ReWorld: Learning Better Representations for World Action Models GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.396884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6899d5aa-7736-4acd-872b-2c242e0d635d · outbound

This paper cites Latent diffusion model without variational autoencoder.

ReWorld: Learning Better Representations for World Action Models Latent diffusion model without variational autoencoder

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.436867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42c1dcde-5312-469a-bdf9-56ad03f8e979 · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

ReWorld: Learning Better Representations for World Action Models What matters for representation alignment: Global information or spatial structure?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.433974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b3ccdb22-1ded-49a0-adff-0895a36c149f · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

ReWorld: Learning Better Representations for World Action Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.439343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 31d34379-0e60-45f8-bccf-0406bcdea0d3 · outbound

This paper cites MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving.

ReWorld: Learning Better Representations for World Action Models MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.436508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 18bfbc32-a3c7-4909-a286-2da77048f318 · outbound

This paper cites Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives.

ReWorld: Learning Better Representations for World Action Models Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.411457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4f46f79-f335-4727-8f5e-0e168b9dcde3 · outbound

This paper cites Latent-wam: Latent world action modeling for end-to-end autonomous driving.

ReWorld: Learning Better Representations for World Action Models Latent-wam: Latent world action modeling for end-to-end autonomous driving

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.449688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81a4fc13-13d3-43f6-8cc3-36a674fc2b2a · outbound

This paper cites ReSim: Reliable World Simulation for Autonomous Driving.

ReWorld: Learning Better Representations for World Action Models ReSim: Reliable World Simulation for Autonomous Driving

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.450124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6021486c-3664-487c-bf4d-ed7d7961eeff · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

ReWorld: Learning Better Representations for World Action Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.452102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b83f6eee-4a50-47f4-90b9-19c2edbf0037 · outbound

This paper cites Epona: Autoregressive Diffusion World Model for Autonomous Driving.

ReWorld: Learning Better Representations for World Action Models Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.430768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 636e281b-ac39-4227-96a3-ed58c99e5834 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

ReWorld: Learning Better Representations for World Action Models Diffusion Transformers with Representation Autoencoders

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.454431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fc14ba6f-b5eb-4e74-a9bf-27021fa46376 · outbound

This paper cites GenAD: Generative End-to-End Autonomous Driving.

ReWorld: Learning Better Representations for World Action Models GenAD: Generative End-to-End Autonomous Driving

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.378956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d7427f62-5f4a-4962-a8c9-b84ed8d3a591 · outbound

This paper cites Waslander.

ReWorld: Learning Better Representations for World Action Models Waslander

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:25:58.382414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.