Paper Citation Record · LEDGER

World Machine: Towards Generative World Modeling for Time-Series

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.23025.

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

pith.paper-citation-record.v1
2605.23025 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:41:59.223635Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy17
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 227e2bd7-bf86-4859-b38f-99722dea65b7 · outbound

This paper cites an unresolved cited work.

World Machine: Towards Generative World Modeling for Time-Series Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-25T10:46:56.183213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 611f821e-c43f-4177-af09-012f9dceb48e · outbound

This paper cites World Ma- chine - Data & Report - Toy1D - Experiment 0 Protocol Test.

World Machine: Towards Generative World Modeling for Time-Series World Ma- chine - Data & Report - Toy1D - Experiment 0 Protocol Test

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.186515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97b59e01-6bd2-4fb4-8964-31f64f140d1a · outbound

This paper cites World Ma- chine - Data & Report - Toy1D - Experiment 1 Configuration Test.

World Machine: Towards Generative World Modeling for Time-Series World Ma- chine - Data & Report - Toy1D - Experiment 1 Configuration Test

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.189842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 295bd300-701f-4fe5-aa2f-53920f75b90c · outbound

This paper cites World Ma- chine - Data & Report - Toy1D - Experiment 2 Best Long.

World Machine: Towards Generative World Modeling for Time-Series World Ma- chine - Data & Report - Toy1D - Experiment 2 Best Long

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.200339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f873e4e7-75aa-4866-99ab-32769c306f9b · outbound

This paper cites World Ma- chine Docker Image.

World Machine: Towards Generative World Modeling for Time-Series World Ma- chine Docker Image

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.193192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b01e4cdf-4b0c-492e-b25d-6e595808624c · outbound

This paper cites World Ma- chine - Toy1D Dataset.

World Machine: Towards Generative World Modeling for Time-Series World Ma- chine - Toy1D Dataset

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.144235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d9ab9eb-7c67-47f6-bc77-5848554af9c5 · outbound

This paper cites World Machine.

World Machine: Towards Generative World Modeling for Time-Series World Machine

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.151197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63bda645-731c-44b1-8570-eade13dc42d8 · outbound

This paper cites Soft-DTW: A differen- tiable loss function for time-series.

World Machine: Towards Generative World Modeling for Time-Series Soft-DTW: A differen- tiable loss function for time-series

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.147823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a72ce8b7-e163-4a0b-94d5-9983d63471a1 · outbound

This paper cites Oasis: A Universe in a Transformer.

World Machine: Towards Generative World Modeling for Time-Series Oasis: A Universe in a Transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.158519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72cbedb1-ea20-47cf-91a2-fbdd9c3439ef · outbound

This paper cites Position Information in Transformers: An Overview.Computational Linguistics, 48(3):733–763.

World Machine: Towards Generative World Modeling for Time-Series Position Information in Transformers: An Overview.Computational Linguistics, 48(3):733–763

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.169539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 491c7691-6d82-44ea-b42f-98afa3a0b3a3 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

World Machine: Towards Generative World Modeling for Time-Series Dream to control: Learning behaviors by latent imagination

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.140463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6ca3878-6d50-4c24-862c-eb0f4ca90df5 · outbound

This paper cites White, Sam Devlin, Cecily Morrison, and Katja Hof- mann.

World Machine: Towards Generative World Modeling for Time-Series White, Sam Devlin, Cecily Morrison, and Katja Hof- mann

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.165815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1fe53e72-92f6-42d8-b179-753db2311a53 · outbound

This paper cites A Path Towards Autonomous Machine Intelli- gence Version 0.9.2, 2022-06-27.

World Machine: Towards Generative World Modeling for Time-Series A Path Towards Autonomous Machine Intelli- gence Version 0.9.2, 2022-06-27

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.179976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88939591-00a6-4b56-af1e-242e8d346a1d · outbound

This paper cites A Guide for Making Black Box Models Explainable.

World Machine: Towards Generative World Modeling for Time-Series A Guide for Making Black Box Models Explainable

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.172855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c398a031-516b-4425-923f-b32b0998d522 · outbound

This paper cites Scalable Diffusion Models with Transformers.

World Machine: Towards Generative World Modeling for Time-Series Scalable Diffusion Models with Transformers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.176590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f146c6ea-4768-437e-b487-79aa9cc26ec6 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrap- olation.

World Machine: Towards Generative World Modeling for Time-Series Train short, test long: Attention with linear biases enables input length extrap- olation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.196744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 605942dc-f82f-4b74-aa34-d2d945d00b14 · outbound

This paper cites Diffusion models are real-time game engines.

World Machine: Towards Generative World Modeling for Time-Series Diffusion models are real-time game engines

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.154895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ae0925c-e06e-4b64-bc6e-cd73c01c072b · outbound

This paper cites Sequence Breaking.

World Machine: Towards Generative World Modeling for Time-Series Sequence Breaking

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T10:46:56.162018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.