Paper Citation Record · LEDGER

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.00591.

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

pith.paper-citation-record.v1
2608.00591 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:42:28.464524Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

38 of 38 outbound references displayed

verified exact3
verified fuzzy19
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9528e6e-dd23-45a1-8dfa-8e5599c2bba1 · outbound

This paper cites Nature , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Nature , volume=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:29.043401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb8a2169-a177-484d-bb91-16aa712a1cb8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Advances in Neural Information Processing Systems , volume=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:29.033957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91a5eec4-2a1a-4a95-bd05-485fdf14e704 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Journal of the American Statistical Association , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.043075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090af259-6e6f-49ce-ad01-231cb72d8a2d · outbound

This paper cites On the Benefits of Memory for Modeling Time-Dependent.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models On the Benefits of Memory for Modeling Time-Dependent

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:29.019442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b43afcf5-b407-4422-be89-32a7fb064923 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Advances in Neural Information Processing Systems , volume=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:29.010696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dbee4d1-9daa-43b9-84fb-56d8d24f8a29 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:29.001998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4bfcf75b-494d-4a6f-9ab8-b6fc84fd774f · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.993717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5b5f94e-8087-4f5d-acbd-1b48fc390806 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.984803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77c93d2c-dad8-462b-bc2a-4682e97e1b62 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.976283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b028786-b42e-47f5-87c3-85a790e9db67 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.967491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b0f7b58-a7c1-43c9-90c8-85512a5c831e · outbound

This paper cites Mathematical Modelling and Computational Experiments , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Mathematical Modelling and Computational Experiments , volume=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.958734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e2ebae6-ff34-416a-88ba-bcdddba1fb20 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.949093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6095f67-804c-422a-98a1-4afb94f93713 · outbound

This paper cites Progress of Theoretical Physics , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Progress of Theoretical Physics , volume=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.939442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b0d0090-4b78-418e-8a61-683c6cb6500e · outbound

This paper cites Physical Review , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Physical Review , volume=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.930694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e23b34f1-108c-43f1-a01a-c3648160535c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Advances in Neural Information Processing Systems , volume=

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.922172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c23358cb-1499-414b-90da-25e225b1aec1 · outbound

This paper cites Proceedings of the 33rd International Conference on Machine Learning , pages=.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Proceedings of the 33rd International Conference on Machine Learning , pages=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.912958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75029c9a-9105-429c-90a1-0103ab66e2ef · outbound

This paper cites CaliBench : Are the stochastic dynamics of video world models physically calibrated? OpenReview submission rWE29rkvDz, 2026.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models CaliBench : Are the stochastic dynamics of video world models physically calibrated? OpenReview submission rWE29rkvDz, 2026

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.903710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69bebed1-bf84-4e29-907a-47d2d0fa04bd · outbound

This paper cites STORI : A benchmark and taxonomy for stochastic environments.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models STORI : A benchmark and taxonomy for stochastic environments

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-05T00:42:28.611405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26234a86-0d1c-4dce-b433-689236b5f2ec · outbound

This paper cites Rethinking Aleatoric and Epistemic Uncertainty.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Rethinking Aleatoric and Epistemic Uncertainty

Reference 25

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Source-reported events for the cited work

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Observation 0e9a5cf1-745f-4fc1-bfab-8d07968643c7 · outbound

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Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.413801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f520f89-7eaa-4ecb-8227-ad1780631dc8 · outbound

This paper cites What-If World: A Causal Benchmark for General World Models in Embodied Scenarios.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models What-If World: A Causal Benchmark for General World Models in Embodied Scenarios

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T00:42:28.649422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 820284c7-a3e9-448d-bce2-42fc0cf4b59c · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.888136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00d43308-5806-4973-bcf8-d310a668c1c9 · outbound

This paper cites Monte Carlo Methods in Financial Engineering.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Monte Carlo Methods in Financial Engineering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.878812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ae6c55f-5e42-40b7-9b20-c97740d0ca27 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.425241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e4ffac1-7bdc-4b4c-98f8-e9f463e790cc · outbound

This paper cites World Models.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models World Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.427984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed2b0a5-6c25-4f09-9c1c-05fe0e2d4064 · outbound

This paper cites Mastering diverse control tasks through world models.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Mastering diverse control tasks through world models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.430491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c747731-67de-49c1-8fb9-c9eea9a5aa96 · outbound

This paper cites Ilersich and Prasanth Nair.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Ilersich and Prasanth Nair

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.863061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55f87e6b-93ae-4d91-8e6c-20f3c470c550 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, volume 30, 2017.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, volume 30, 2017

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.853619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9752722a-1351-4461-a88f-1f99f5893d07 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.439429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dba5660-a517-4e01-8aae-e85938280dc2 · outbound

This paper cites Transport, collective motion, and brownian motion.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Transport, collective motion, and brownian motion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.837433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb221b5a-7b00-4951-83b0-2eaa326d64da · outbound

This paper cites On the benefits of memory for modeling time-dependent PDE s.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models On the benefits of memory for modeling time-dependent PDE s

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.726105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c471c75-4758-4b80-a588-7dca0b860104 · outbound

This paper cites Scientific machine learning for closure models in multiscale problems: a review.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Scientific machine learning for closure models in multiscale problems: a review

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.448125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d822ee-6d22-4e1e-8c1e-3bf7486eef75 · outbound

This paper cites Searle, George Casella, and Charles E.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Searle, George Casella, and Charles E

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.717071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f246b97f-deab-420b-b0bd-631099912db5 · outbound

This paper cites an unresolved cited work.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T00:42:28.707403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a37c8236-77cd-423f-9470-3a197fdde3d9 · outbound

This paper cites What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-05T00:42:28.635529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 597986d3-2b73-465f-af30-d294e83656a1 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T00:42:28.458836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b2de00-b62a-463c-a7af-03bd3a6ac255 · outbound

This paper cites Physion++ : Evaluating physical scene understanding that requires online inference of different physical properties.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Physion++ : Evaluating physical scene understanding that requires online inference of different physical properties

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.696691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13c4d993-e583-4176-b41f-25a2de806814 · outbound

This paper cites Memory effects in irreversible thermodynamics.

Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models Memory effects in irreversible thermodynamics

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:42:28.686603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.