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Paper Citation Record · LEDGER

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2505.06459.

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

pith.paper-citation-record.v1
2505.06459 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:47:10.801049Z

measured 13 of 13 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:55:25.831089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.119336Z

Reference resolution

12 of 12 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ace0f0fb-1c4b-40b6-824d-8311d22e38d9 · outbound

This paper cites Zhang Cong, Zhang Han, Yuan Shuo, Liu Siqi, Zhang Tong-Jie, and Sun Yan-Chun.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Zhang Cong, Zhang Han, Yuan Shuo, Liu Siqi, Zhang Tong-Jie, and Sun Yan-Chun

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T22:47:11.156609Z

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.

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Observation e7b67a4d-9e77-4694-923c-d4ba0a40769a · outbound

This paper cites Respecting causality is all you need for training physics-informed neural networks.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Respecting causality is all you need for training physics-informed neural networks

Reference 11

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unresolved
no resolver link, observed 2026-08-15T22:47:10.795128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d52cc9d-b1d9-471a-a577-5624c649316e · outbound

This paper cites an unresolved cited work.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Unresolved cited work

Reference 12

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malformed identifier
raw_fallback, observed 2026-08-15T22:47:10.925864Z

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.

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Observation 5a140b66-211c-4e9e-93b5-3830546245a4 · outbound

This paper cites Majid Rasht-Behesht, Christian Huber, Khemraj Shukla, and George Em Karniadakis.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Majid Rasht-Behesht, Christian Huber, Khemraj Shukla, and George Em Karniadakis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:47:11.139596Z

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.

source=pdf_text observed=2026-08-15T22:47:10.790361Z digest=sha256:fceed32762a397e04ffc16593e6bd8a23d5939316802fbd317275db991e6d197

Observation 295249db-1e81-4718-86c3-3e008341a189 · outbound

This paper cites URL https://link.aps.org/doi/10.1103/ PhysRevD.76.064004.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles URL https://link.aps.org/doi/10.1103/ PhysRevD.76.064004

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.765149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 672e9942-dc3d-49a4-a475-5ff2bf5c26cd · outbound

This paper cites Measurements of $H_0$ in modified gravity theories: The role of lensed quasars in the late-time Universe.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Measurements of $H_0$ in modified gravity theories: The role of lensed quasars in the late-time Universe

Reference 2014

Resolution
malformed identifier
no resolver link, observed 2026-08-15T22:47:10.753089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 28663f09-398e-4d4f-8b0f-f9f463ef810f · outbound

This paper cites doi: 10.1016/j.jcp.2018.10.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles doi: 10.1016/j.jcp.2018.10

Reference 2019

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unresolved
no resolver link, observed 2026-08-15T22:47:10.784083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9da3f745-24e4-4c64-97f6-5cc7ede1c3c4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.778447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9d3b0f6f-3700-4813-85d3-35bff1bfa9c1 · outbound

This paper cites Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.772297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37101b93-1f79-4470-ae3e-18e1f0911757 · outbound

This paper cites The landscape, the swampland and the era of precision cosmology.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles The landscape, the swampland and the era of precision cosmology

Reference 3978

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.734559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d31f492c-ebf9-4c65-8507-3566d5913a72 · outbound

This paper cites Pyro: Deep Universal Probabilistic Programming.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Pyro: Deep Universal Probabilistic Programming

Reference 4438

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.741413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 55e18c4f-bbb5-4260-af6b-e4a20b41a97e · outbound

This paper cites Error estimates for physics informed neural networks approximating the Navier-Stokes equations.

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles Error estimates for physics informed neural networks approximating the Navier-Stokes equations

Reference 9044

Resolution
unresolved
no resolver link, observed 2026-08-15T22:47:10.759531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 37e6c46b-4de2-4be4-b5a7-136708bcedbb · inbound

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery cites this paper.

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.120907Z

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.

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