Paper Citation Record · LEDGER

Trajectory World Models for Heterogeneous Environments

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.01366.

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

pith.paper-citation-record.v1
2502.01366 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:48.741820Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy3
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c9c5f92-3211-4952-8c08-d01a443ae10f · outbound

This paper cites GPT-4 Technical Report.

Trajectory World Models for Heterogeneous Environments GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.613531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34c061b-3f56-41c9-a491-338ccf618c2b · outbound

This paper cites Baseline: MLP Ensemble.

Trajectory World Models for Heterogeneous Environments Baseline: MLP Ensemble

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:36:49.182718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 623cc66c-2ad9-4885-a3b1-29134dcd8b24 · outbound

This paper cites Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent.

Trajectory World Models for Heterogeneous Environments Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.652424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a340b7e8-36b1-496d-a8b3-8f22ef8132eb · outbound

This paper cites Axial Attention in Multidimensional Transformers.

Trajectory World Models for Heterogeneous Environments Axial Attention in Multidimensional Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.664341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7542570-68c0-4d79-8ee4-94ee3d4de494 · outbound

This paper cites Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation.

Trajectory World Models for Heterogeneous Environments Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.669571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c12bdc-129b-4142-9aae-455abefed06c · outbound

This paper cites A Generalist Dynamics Model for Control.

Trajectory World Models for Heterogeneous Environments A Generalist Dynamics Model for Control

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.679220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f1206d-b006-4d16-abce-0e68a8469cd3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Trajectory World Models for Heterogeneous Environments Proximal Policy Optimization Algorithms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.683814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0571d6fd-0f68-4fae-ba71-14eab8a96cac · outbound

This paper cites DeepMind Control Suite.

Trajectory World Models for Heterogeneous Environments DeepMind Control Suite

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.688461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af599b8-2158-4289-8929-70399e914dee · outbound

This paper cites Open-Ended Learning Leads to Generally Capable Agents.

Trajectory World Models for Heterogeneous Environments Open-Ended Learning Leads to Generally Capable Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.693210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c303865f-f1f6-425b-875f-bfd265337ac9 · outbound

This paper cites On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective.

Trajectory World Models for Heterogeneous Environments On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.698184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9831e36-92a8-48e2-8a6c-af7fe000d19d · outbound

This paper cites Pre-training con- textualized world models with in-the-wild videos for re- inforcement learning.

Trajectory World Models for Heterogeneous Environments Pre-training con- textualized world models with in-the-wild videos for re- inforcement learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.702767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77126173-dce3-4f92-bafd-45d5b8a3c8cc · outbound

This paper cites Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.

Trajectory World Models for Heterogeneous Environments Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.707515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3e5b8c-0b4b-4ff5-b69a-3034041ecc5c · outbound

This paper cites Latent Action Pretraining from Videos.

Trajectory World Models for Heterogeneous Environments Latent Action Pretraining from Videos

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.712173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8e3fe9-b87a-4009-8d2a-a35e3937ad35 · outbound

This paper cites UniTraj Dataset Details A.1.

Trajectory World Models for Heterogeneous Environments UniTraj Dataset Details A.1

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:36:49.196923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2246693b-fa9e-405e-8f28-55d4a728228f · outbound

This paper cites an unresolved cited work.

Trajectory World Models for Heterogeneous Environments Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:36:49.152698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27b933fc-cd88-4045-a14f-d7663eaac12e · outbound

This paper cites an unresolved cited work.

Trajectory World Models for Heterogeneous Environments Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:36:49.137560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2fefeab-f3d0-4a95-a0f6-6e3d6d43fdef · outbound

This paper cites an unresolved cited work.

Trajectory World Models for Heterogeneous Environments Unresolved cited work

Reference 1000

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:36:49.167902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6dadbbef-c07e-4a19-9f62-28557252381f · outbound

This paper cites OpenAI Gym.

Trajectory World Models for Heterogeneous Environments OpenAI Gym

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.625497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aeaae43-b571-429c-b31c-46f46d9c8abb · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Trajectory World Models for Heterogeneous Environments A path towards autonomous machine intelligence version 0.9

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:36:49.213463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d206bd3-541f-4cad-a311-a00bee691991 · outbound

This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

Trajectory World Models for Heterogeneous Environments Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.640625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54d813b-a614-4eb7-9794-63a27a300b14 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Trajectory World Models for Heterogeneous Environments DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.717401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e251abbb-2225-49e6-a8b1-7e678c42afe7 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Trajectory World Models for Heterogeneous Environments D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.646151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc49f0f6-5ff0-4ec7-8d9f-0825a45441a3 · outbound

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

Trajectory World Models for Heterogeneous Environments Cosmos World Foundation Model Platform for Physical AI

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.620061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53e8e32-cc87-4dc0-85a2-f42fbed2707c · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

Trajectory World Models for Heterogeneous Environments Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.658209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ddb56b-d85b-4a29-a34b-bd2e55e2a666 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Trajectory World Models for Heterogeneous Environments GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:48.634944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.