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Paper Citation Record · LEDGER

Variational Boosting for Physics-Informed Neural Networks

As of 14 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2607.23940.

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

pith.paper-citation-record.v1
2607.23940 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:34:26.583121Z

measured 11 of 11 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

11 of 11 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad11bbff-70ec-40f5-80d3-fbbca5085793 · outbound

This paper cites URLhttps://www.nature.com/articles/ s42005-025-02248-1.

Variational Boosting for Physics-Informed Neural Networks URLhttps://www.nature.com/articles/ s42005-025-02248-1

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:26.118279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:26.118279Z digest=sha256:8747a46f382ade7ab1f08d57136615305dc10d4fefcd060c96dd1ff1583b7095

Observation 2d946b01-22ff-4af1-851e-2c69234f23b6 · outbound

This paper cites URLhttps://doi.org/10.1038/s42254-021-00314-5.

Variational Boosting for Physics-Informed Neural Networks URLhttps://doi.org/10.1038/s42254-021-00314-5

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:25.750030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:25.750030Z digest=sha256:5274bc273b05131a8c109c063531a1fa9fb021f684d7cb90b9248fcf839bbdaf

Observation 71ee22c3-764b-48cc-8ae3-54b900d4e6b7 · outbound

This paper cites Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning.

Variational Boosting for Physics-Informed Neural Networks Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T23:35:54.291765Z

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.

source=pdf_text observed=2026-07-31T23:34:26.583121Z digest=sha256:d1312d7a352719a986c92bb69046991cce9653592a5158675a151b36f4081384

Observation 560484ec-99ae-41dd-bdfb-c1a242d695cc · outbound

This paper cites URLhttps://doi.org/10.1007/978-0-387-40065-5.

Variational Boosting for Physics-Informed Neural Networks URLhttps://doi.org/10.1007/978-0-387-40065-5

Reference 2006

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:25.823331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:25.823331Z digest=sha256:9835259399c93599581d4417d44530b5944da4cc39015f6feb538a8055632276

Observation 3b87100b-994b-48da-8ed5-fc9a816bc14a · outbound

This paper cites URLhttps://doi.org/10.1007/ 978-3-319-48311-5.

Variational Boosting for Physics-Informed Neural Networks URLhttps://doi.org/10.1007/ 978-3-319-48311-5

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:25.455363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:25.455363Z digest=sha256:652f46dd7a3234070770d13da112130e00eb860838ea91cc3cb173ff6ab81f22

Observation 06090c8d-ddd6-4679-9a79-28595841e44a · outbound

This paper cites jcp.2018.10.045.

Variational Boosting for Physics-Informed Neural Networks jcp.2018.10.045

Reference 2019

Resolution
malformed identifier
no resolver link, observed 2026-07-31T23:34:25.922297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:25.922297Z digest=sha256:1338b7e7a8d521d7689a741a9ae8c752e361b1b72d2abd8de446cc1cff5265d5

Observation 6b7c2bb8-a8ce-4a51-a635-74b255acd321 · outbound

This paper cites When and why PINNs fail to train: A neural tangent kernel perspective.

Variational Boosting for Physics-Informed Neural Networks When and why PINNs fail to train: A neural tangent kernel perspective

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:26.223073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:26.223073Z digest=sha256:bc2bbb7f08ebcf01c01a55eb38ab374cf99b850dbb595582a8cd19357eda36d8

Observation dd5030b3-7aa0-4afd-8e8a-82c3de8bedd4 · outbound

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

Variational Boosting for Physics-Informed Neural Networks Respecting causality is all you need for training physics-informed neural networks

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:26.464368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:26.464368Z digest=sha256:8d21f1776d52c04ff4f1f45785318c9c46b71289bccd5e0b08b86bf87c689d5b

Observation 9bfb7628-9a71-4f2e-82ad-16f838288f7b · outbound

This paper cites Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach.

Variational Boosting for Physics-Informed Neural Networks Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-07-31T23:34:25.641730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:34:25.641730Z digest=sha256:482454a63e13be8774aa0c9e9e2f60dca3ab1dc1c5870de7c29a72eb95214359

Observation 3fbe9135-7fa8-487e-ad64-c0228b435df8 · outbound

This paper cites Stiff Transfer Learning for Physics-Informed Neural Networks.

Variational Boosting for Physics-Informed Neural Networks Stiff Transfer Learning for Physics-Informed Neural Networks

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T23:35:54.420779Z

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.

source=pdf_text observed=2026-07-31T23:34:26.027648Z digest=sha256:45bf9acf7750376caad092f1bf0fd474f7339e9ee24fdb67b8aee527c37990cb

Observation 42e1febb-aede-45a1-805b-1aa6c4cd3036 · outbound

This paper cites URLhttps: //doi.org/10.48550/arxiv.2603.12556.

Variational Boosting for Physics-Informed Neural Networks URLhttps: //doi.org/10.48550/arxiv.2603.12556

Reference 2026

Resolution
verified exact
arxiv_id, observed 2026-07-31T23:35:54.599378Z

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.

source=pdf_text observed=2026-07-31T23:34:25.529369Z digest=sha256:a61ee988f91d668b584b8b5c4ad68f895f835db87aee0ae626ad6cbfb66184b2

Pith citing papers

No inbound Pith citation observations are available.