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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
  • metadata mismatch0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.376149Z digest=sha256:2aeaaa5f321e3be1673034d2272d96aa406c2d3b4364ca69255c29eab70a2686

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.379380Z digest=sha256:1ddafc0bf47a4fea3ee1374cd99983a9d3e5dd830b3ebe1d1dd90c5fa3e42dbc

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.399233Z digest=sha256:50bd68c75dd1ab9dbbc86562c867fb7b10f293f4a08598a17f2d0756dc5b1929

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.401904Z digest=sha256:6ec1e4429a3f7207dd295d724781668aabbf2ee21ee4ff6ef2f2764e68fa74f4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-05T00:42:28.410886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:42:28.410886Z digest=sha256:9be70b23990a14d2963facc7702fb281a29c6797cc3d782c683402850f9376c9

Observation 0e9a5cf1-745f-4fc1-bfab-8d07968643c7 · 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 26

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:42:28.413801Z digest=sha256:ec1acb3e802949ee130184b7ae547074366a56d7aba00f83c7fb57ff7b9aefa0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:42:28.427984Z digest=sha256:0e27e3a44212e71e02c0361a4e95824e139e00a01f30718a7995d8b64b50b830

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:42:28.439429Z digest=sha256:f2cd114a6644a7b5c891aa79d6588d00efa4ed799bdd29abfd76aa9e3ac9d0e4

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.445331Z digest=sha256:5970d61873f5e0eaa8b33e64b0507ee7c787e2394e1c0085b52ea02f5700205a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:42:28.448125Z digest=sha256:537d74ecd2ae3adf7ad0ba7db5fa38c3038239cd628331bdccdc0315a36e8826

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.450778Z digest=sha256:3bb0b1234e11b45fcb3028bb58e79b399b689fd8fb983c7c3ff0e92eee770fc7

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.453520Z digest=sha256:972fb23b2ddf3df15a1e320446729de7d93113aa1fdc1e61ecdc507d490e3c50

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T00:42:28.456260Z digest=sha256:d01e9503cb0cae3fa0849a083bc696216e966ff86aad753cfa46110d276e98b1

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

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

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source=arxiv_source observed=2026-08-05T00:42:28.458836Z digest=sha256:19dbe8c5b677d7d5ebbc74f403662927aa70f8314da6b2708dc549b5317436c1

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

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

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source=arxiv_source observed=2026-08-05T00:42:28.461748Z digest=sha256:450033350a1fb29341ebfdce802276740780f8dd58d0c183a2a55b32642f989a

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

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raw_fallback, observed 2026-08-05T00:42:28.686603Z

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Pith citing papers

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