Paper Citation Record · LEDGER

Population-Scalable Multi-Agent World Modeling

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.08600.

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

pith.paper-citation-record.v1
2608.08600 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:34:31.782982Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48e82198-3af3-4947-a115-9e7c460d0a67 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Population-Scalable Multi-Agent World Modeling GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.726743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57905678-a7de-4837-9fd2-48f128daeab8 · outbound

This paper cites Fangfu Liu, Kai He, Tianchang Shen, Tianshi Cao, Sanja Fidler, Yueqi Duan, Jun Gao, Igor Gilitschen- ski, Zian Wang, and Xuanchi Ren.

Population-Scalable Multi-Agent World Modeling Fangfu Liu, Kai He, Tianchang Shen, Tianshi Cao, Sanja Fidler, Yueqi Duan, Jun Gao, Igor Gilitschen- ski, Zian Wang, and Xuanchi Ren

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.744837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b469c49f-f7d1-4d98-b6af-dca145b34508 · outbound

This paper cites William Peebles and Saining Xie.

Population-Scalable Multi-Agent World Modeling William Peebles and Saining Xie

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:34:32.105356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc5223f4-e649-48f0-9d24-2ab38b011298 · outbound

This paper cites Georgy Savva, Oscar Michel, Daohan Lu, Suppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar, Jack Lu, and Saining Xie.

Population-Scalable Multi-Agent World Modeling Georgy Savva, Oscar Michel, Daohan Lu, Suppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar, Jack Lu, and Saining Xie

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.759804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf0e5a81-4a74-4723-998f-0ee280928618 · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

Population-Scalable Multi-Agent World Modeling DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.768588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc31c042-7e5e-470e-8fe4-e8f894919e25 · outbound

This paper cites MultiWorld: Scalable Multi-Agent Multi-View Video World Models.

Population-Scalable Multi-Agent World Modeling MultiWorld: Scalable Multi-Agent Multi-View Video World Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.778523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec645f50-729c-475e-b899-03218ae7edf4 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Population-Scalable Multi-Agent World Modeling The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.782982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60cd678-8958-4c2b-9910-d5b933c849bd · outbound

This paper cites Mastering Diverse Domains through World Models.

Population-Scalable Multi-Agent World Modeling Mastering Diverse Domains through World Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.721320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6889d964-7307-408e-883b-99acf5438f65 · outbound

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

Population-Scalable Multi-Agent World Modeling Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.763739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6720b66-f293-4f55-945b-ed6def9d8ec3 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

Population-Scalable Multi-Agent World Modeling Diffusion for World Modeling: Visual Details Matter in Atari

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.711107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76eca15e-7474-43dc-8b6f-34d9fe1dce12 · outbound

This paper cites AdaWorld: Learning Adaptable World Models with Latent Actions.

Population-Scalable Multi-Agent World Modeling AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.716691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353e7cf5-6e44-4a1f-bd85-90734db333d2 · outbound

This paper cites Multiplayer Interactive World Models with Representation Autoencoders.

Population-Scalable Multi-Agent World Modeling Multiplayer Interactive World Models with Representation Autoencoders

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:31.737469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.