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Paper Citation Record · LEDGER

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.06631.

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

pith.paper-citation-record.v1
2507.06631 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:32.717109Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved4
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a951ae75-a3c7-4ee4-9619-592329b18f72 · outbound

This paper cites Cawley and N.L.C.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Cawley and N.L.C

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:34.149792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ed71a55e-dcea-42e4-ac62-7621e94d5656 · outbound

This paper cites Meta-Learning Mean Functions for Gaussian Processes.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Meta-Learning Mean Functions for Gaussian Processes

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:04:33.396553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f53fe013-f023-4b96-9a05-f895e858bbb8 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Denoising Diffusion Probabilistic Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:32.400848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:32.400848Z digest=sha256:d7a9a308e041ffba9f22efc8f34ca7eafd08d7a3f84e5f9434d69fe57dafd8e3

Observation f4fe04b2-44c2-48ea-b3f4-ad60637ab54b · outbound

This paper cites an unresolved cited work.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Unresolved cited work

Reference 1995

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:32.197853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:32.197853Z digest=sha256:5498d83d311469fa844c62f25e08de7987ef2b43d157de41c59502d4d88aaf7e

Observation f6713b48-09cf-4c00-9748-d94c10f74b68 · outbound

This paper cites Enda Dimitri Vieira Bigarella, Joao Luiz F.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Enda Dimitri Vieira Bigarella, Joao Luiz F

Reference 2004

Resolution
verified exact
doi, observed 2026-08-06T19:04:33.108310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.000098Z digest=sha256:e5237c55949709e785684ae0d266ce1cb540d7c25e80ed7b6d9f30d8b3d937a6

Observation 72ab37f8-58be-4936-ad3b-17d9387be719 · outbound

This paper cites an unresolved cited work.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Unresolved cited work

Reference 2005

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:04:33.934787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.653135Z digest=sha256:a3e9f79485c08fe801f2d21e23c69e270639af4a9d420b2b411964812c6d457d

Observation c758a53d-1a5c-4141-8121-44e26d3447b7 · outbound

This paper cites Leonardo Scalabrin and Iain D.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Leonardo Scalabrin and Iain D

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:34.047541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.601780Z digest=sha256:f41f8cc3414fd14108f53d0b81d14cc669c861cb27eafd2752ce274dc50b768d

Observation 3ccf3e7c-0b87-406d-9abe-92c11e96af4d · outbound

This paper cites Steven L.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Steven L

Reference 2007

Resolution
verified exact
doi, observed 2026-08-06T19:04:32.976645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.063949Z digest=sha256:2e79a9121b8b2d8588ccb3a9c950d99a5aa1c381046055c628a324ceab4c7fec

Observation 2d9c7a6b-43fe-4f34-b278-6cb5695310e2 · outbound

This paper cites URL https://arc.aiaa.org/doi/abs/10.2514/6.2010-5075.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator URL https://arc.aiaa.org/doi/abs/10.2514/6.2010-5075

Reference 2010

Resolution
verified exact
doi, observed 2026-08-06T19:04:32.852721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.553455Z digest=sha256:26b03cbeba5ef29742345bdcd4d8f653dc8fdd5d373dca7101a4fdb6cabc7d9a

Observation 6534c214-4548-4848-915e-24b2f243c1a0 · outbound

This paper cites doi: https://doi.org/10.1 016/j.cam.2017.10.017.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator doi: https://doi.org/10.1 016/j.cam.2017.10.017

Reference 2018

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T19:04:33.777497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.717109Z digest=sha256:d577ff95e929d0a0de7a33e950d71e1caa7269584093f6a1e4fd3e3f5ac66a20

Observation fe5d03bc-86b8-448d-974b-db4550d898da · outbound

This paper cites Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:04:33.605894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:04:32.126533Z digest=sha256:4d3a1c752912f258bea5308c21ebade958192b23ac2cca5fa48d0c639a890e67

Observation 05247060-663c-41c0-aaab-f019e6880814 · outbound

This paper cites Bayesian Model Selection, the Marginal Likelihood, and Generalization.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator Bayesian Model Selection, the Marginal Likelihood, and Generalization

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:32.509404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:32.509404Z digest=sha256:a7b3c9945bd6eb17e732c3b57738362784aec583140e721ae48a3fc1122ccd8f

Observation 2cb80d45-67e5-436d-a9e6-f75e512896b3 · outbound

This paper cites doi: 10.1109/acce ss.2024.3402543.

Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator doi: 10.1109/acce ss.2024.3402543

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-06T19:04:32.459099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:32.459099Z digest=sha256:8e90d699575aa11c6189317e49c0944fc82780a2488936d7a7b0d0bedcd84cbf

Pith citing papers

No inbound Pith citation observations are available.