Paper Citation Record · LEDGER

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.08689.

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

pith.paper-citation-record.v1
2608.08689 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:36.094446Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy15
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5aeee118-90f1-49a4-a733-d258ef637649 · outbound

This paper cites World Models.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration World Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.653629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be5ca5a-49a2-478b-961e-840d57604078 · outbound

This paper cites Learning Latent Dynamics for Planning from Pixels.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Learning Latent Dynamics for Planning from Pixels

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:37.198690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87af7403-f33e-4d36-b0c4-f506f1e38f80 · outbound

This paper cites Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, and Koray Kavukcuoglu.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, and Koray Kavukcuoglu

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:37.185149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38772879-b796-494a-9db5-1866ec8fa964 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Relational inductive biases, deep learning, and graph networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.713902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6168aa98-87c1-44f0-90b2-cd5a83edff62 · outbound

This paper cites Schoenholz, Patrick F.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Schoenholz, Patrick F

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:37.171279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb763e55-dbd4-4440-970e-9a4eee7a67cd · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Semi-Supervised Classification with Graph Convolutional Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.730502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc2b391-ccdd-4ab4-893e-df69412c72a2 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4470–4479, 2018.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4470–4479, 2018

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:37.139868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4768d4c7-9afd-4b2d-954c-fdf86135ca79 · outbound

This paper cites Learning to Simulate Complex Physics with Graph Networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Learning to Simulate Complex Physics with Graph Networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:37.047059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39318514-8cb0-4d2e-b23f-346e7e54a648 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.743362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3228621e-4e0e-4c0d-88c9-de3f40e5888f · outbound

This paper cites Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.970924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08deb0cf-d012-4896-b7fb-e284dc50c752 · outbound

This paper cites Forrester.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Forrester

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.957376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d2a37f48-c916-49de-b646-e157f8e2b0e2 · outbound

This paper cites Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.944011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 92e35a56-d375-467f-919a-f6dc9b55f3a6 · outbound

This paper cites Graph World Model.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Graph World Model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.929828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69508b2e-2560-4700-9dcf-08c2384a38ba · outbound

This paper cites Graph World Models: Concepts, Taxonomy, and Future Directions.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Graph World Models: Concepts, Taxonomy, and Future Directions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.765025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea982aa-ae7a-4b53-8432-790ca92eed33 · outbound

This paper cites Understanding Rollout Error in Graph World Models.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Understanding Rollout Error in Graph World Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:33:36.237769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cdd756c6-4dc7-4349-8faf-83b1c6589660 · outbound

This paper cites Learning Physical Constraints with Neural Projec- tions.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Learning Physical Constraints with Neural Projec- tions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.866339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e713e259-1486-4b26-aea1-6067ea618538 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:35.931758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e301bcdd-22c5-4340-b0fa-6bb3bcba21c9 · outbound

This paper cites Long Short-Term Memory.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Long Short-Term Memory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.798997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a6195e7-3f20-4984-9b20-e76b279979a6 · outbound

This paper cites T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:36.064899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf6746f-4774-4b19-9a0f-7c8a92d3aa42 · outbound

This paper cites Physics-informed neural net- works: A deep learning framework for solving forward and inverse problems involving non- linear partial differential equations.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Physics-informed neural net- works: A deep learning framework for solving forward and inverse problems involving non- linear partial differential equations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:36.068853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825272b5-11f1-4695-90fb-3cca2b8faa75 · outbound

This paper cites Lagrangian Neural Networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Lagrangian Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:36.073371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7bc986-9091-4294-a280-9c4041bd14dd · outbound

This paper cites GNNEx- plainer: Generating Explanations for Graph Neural Networks.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration GNNEx- plainer: Generating Explanations for Graph Neural Networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.700244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a845b15c-1b52-4b0e-9fd4-4c3f2f38166a · outbound

This paper cites Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.677598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23d59821-e726-4598-805d-45e1bccb36ff · outbound

This paper cites Vrachimis, Demetrios G.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Vrachimis, Demetrios G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.637302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31238549-7e35-4fb6-b749-663278703df6 · outbound

This paper cites an unresolved cited work.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:33:36.505345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a24f5df5-dd9c-4283-a316-feaea8eee9ee · outbound

This paper cites Birchfield, Ti Xu, Kathleen M.

A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration Birchfield, Ti Xu, Kathleen M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:33:36.455012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.