Paper Citation Record · LEDGER

On Foundation Models for Dynamical Systems from Purely Synthetic Data

As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2412.00395.

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

pith.paper-citation-record.v1
2412.00395 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:29:02.597609Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:22:04.729114Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T10:22:04.917274Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy1
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a66794e1-9b6f-4573-b017-25750334bbe0 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

On Foundation Models for Dynamical Systems from Purely Synthetic Data On the Opportunities and Risks of Foundation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.534987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4561561e-a90b-4a51-905b-8febd9491325 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

On Foundation Models for Dynamical Systems from Purely Synthetic Data RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.547059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f408e129-4289-47b9-9296-ad108cb5bf5e · outbound

This paper cites Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.562677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af63fc23-b60a-4595-9451-51d76b8af250 · outbound

This paper cites A Generalist Dynamics Model for Control.

On Foundation Models for Dynamical Systems from Purely Synthetic Data A Generalist Dynamics Model for Control

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.578463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcb8856-dbe9-4d13-bf0d-feb459cdf402 · outbound

This paper cites Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.583248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cdd765-6557-4741-8f73-d312bfc4a477 · outbound

This paper cites FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model.

On Foundation Models for Dynamical Systems from Purely Synthetic Data FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.587941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abbaf5ce-5567-4699-a729-7b940dd86675 · outbound

This paper cites an unresolved cited work.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.597609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bdd8c04-ae67-4cb7-b276-3cfc5bd081cf · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

On Foundation Models for Dynamical Systems from Purely Synthetic Data It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.573372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee403731-9fa9-41cb-ab9b-1ee3ff59d95f · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Open x-embodiment: Robotic learning datasets and rt-x models

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:02.924582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a83c0ab6-d6ed-42ad-b745-3dbade20dc9c · outbound

This paper cites Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.557651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d14084-4861-42d8-a75f-f682b7e7d7ed · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

On Foundation Models for Dynamical Systems from Purely Synthetic Data RT-1: Robotics Transformer for Real-World Control at Scale

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.541174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a0094a-11ec-429e-a175-45b913988af8 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.568090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2643bf-0da5-47b8-ab5e-f04db8df77ce · outbound

This paper cites TimeGPT-1.

On Foundation Models for Dynamical Systems from Purely Synthetic Data TimeGPT-1

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.552522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a7586608-0a9f-425a-8522-ba25f919a289 · inbound

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF cites this paper.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF On Foundation Models for Dynamical Systems from Purely Synthetic Data

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:22:04.921676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.