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Paper Citation Record · LEDGER

Locally Adaptive Conformal Inference for Operator Models

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2507.20975.

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

pith.paper-citation-record.v1
2507.20975 v5

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:15:43.628263Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:16:00.706076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:12:25.998453Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6669c3b9-5ef7-47cb-9976-c1c26d1c815a · outbound

This paper cites Sincedis symmetric, this becomes dTV(R,R (t))≤2d(f t,fn+1).

Locally Adaptive Conformal Inference for Operator Models Sincedis symmetric, this becomes dTV(R,R (t))≤2d(f t,fn+1)

Reference 1

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raw_fallback, observed 2026-08-06T13:15:43.967928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1eeec583-59eb-416b-870c-bb766090ed61 · outbound

This paper cites an unresolved cited work.

Locally Adaptive Conformal Inference for Operator Models Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T13:15:43.952119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7810d043-dd03-49f8-b03d-0e434a9da96d · outbound

This paper cites Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs.

Locally Adaptive Conformal Inference for Operator Models Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs

Reference 10

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source=pdf_text observed=2026-08-06T13:15:42.277590Z digest=sha256:c4eea868c5846f7d0f7a723465957eb1fd431470dac67161b788e1d3be65f52a

Observation e09b7c5d-7c27-494b-8dd5-096db0cab15b · outbound

This paper cites Linearization Turns Neural Operators into Function-Valued Gaussian Processes.

Locally Adaptive Conformal Inference for Operator Models Linearization Turns Neural Operators into Function-Valued Gaussian Processes

Reference 11

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verified exact
local_arxiv, observed 2026-08-06T13:15:43.801113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T13:15:42.393448Z digest=sha256:c21a59a3b491e16038e410cf9ae54ff2454262ad13a082adbea5b8297c68b5fb

Observation ac0bbe27-e154-4198-bde9-251b1a6ad451 · outbound

This paper cites Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators.

Locally Adaptive Conformal Inference for Operator Models Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T13:15:42.617613Z digest=sha256:fdb18be8ba708b1f1fa7029a2c652efea67a7347c65a7e077cd328905ff806e2

Observation e1d6f799-7882-4fb9-b7c1-ccb20506f05d · outbound

This paper cites Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, and Guang Lin.

Locally Adaptive Conformal Inference for Operator Models Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, and Guang Lin

Reference 14

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verified exact
doi, observed 2026-08-06T13:15:43.668269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation afd2e113-a9f7-4d58-a6ae-836e95872555 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Locally Adaptive Conformal Inference for Operator Models FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 15

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Observation 26a6d9eb-5cf0-4390-a1bf-3904fa1f0584 · outbound

This paper cites Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE.

Locally Adaptive Conformal Inference for Operator Models Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE

Reference 17

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verified exact
local_arxiv, observed 2026-08-06T13:15:43.703990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 56c7a2ba-1778-4e58-81d7-202efc0266fd · outbound

This paper cites an unresolved cited work.

Locally Adaptive Conformal Inference for Operator Models Unresolved cited work

Reference 2000

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raw_fallback, observed 2026-08-06T13:15:43.983466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b594dd9d-80f2-41c3-bdaa-6368cc62f9e7 · outbound

This paper cites Probabilistic neural operators for functional uncertainty quantification.

Locally Adaptive Conformal Inference for Operator Models Probabilistic neural operators for functional uncertainty quantification

Reference 2004

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Observation c32729ab-8b1a-41ff-88f7-60be55043e7f · outbound

This paper cites Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction.

Locally Adaptive Conformal Inference for Operator Models Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Reference 2009

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source=pdf_text observed=2026-08-06T13:15:42.264049Z digest=sha256:7b946d83a8bb8b86f30192fadade4f94e17a5cce59c6455e30eebd874b16a344

Observation 5b0e9ee0-90d0-4197-a8c0-ddfe98ee135b · outbound

This paper cites General notions of depth for functional data.

Locally Adaptive Conformal Inference for Operator Models General notions of depth for functional data

Reference 2013

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verified exact
local_arxiv, observed 2026-08-06T13:15:43.760159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T13:15:42.778630Z digest=sha256:ba4f63e2f7983c86cf8e381c9766b6b3150806e37ab85ebefa00d25197e13760

Observation 7748b5f4-5f13-45ca-b480-b1282ac8bd05 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Locally Adaptive Conformal Inference for Operator Models Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2015

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source=pdf_text observed=2026-08-06T13:15:42.201942Z digest=sha256:692269caacc4e1bc178cbbcfcddc49d8c517f94da11628f8a935dc2553ea4d2a

Observation 234fc238-48a8-4bd4-a610-b8f7d23f9e23 · outbound

This paper cites Scientific machine learning for closure models in multiscale problems: a review.

Locally Adaptive Conformal Inference for Operator Models Scientific machine learning for closure models in multiscale problems: a review

Reference 2019

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source=pdf_text observed=2026-08-06T13:15:43.370986Z digest=sha256:60342ff5d4fa2cf7441acf334e77fbb32e0e976929b53068090f5d67a7c4fc62

Observation ac2c6745-88af-41b4-b347-f6fb98eafb30 · outbound

This paper cites Conformal prediction with local weights: randomization enables local guarantees.

Locally Adaptive Conformal Inference for Operator Models Conformal prediction with local weights: randomization enables local guarantees

Reference 2020

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no resolver link, observed 2026-08-06T13:15:42.121952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b4e4d376-ba56-4424-b4ce-a07a792051e7 · outbound

This paper cites The ERA5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049,.

Locally Adaptive Conformal Inference for Operator Models The ERA5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049,

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-06T13:15:44.000397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T13:15:42.026902Z digest=sha256:a9635ab897a1fde6f30b474253f01eeca4ab70cc9f3fec1e5362453468b3c5cd

Observation 3ed399b0-228c-4fc9-9c49-44ce563df576 · outbound

This paper cites Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations.

Locally Adaptive Conformal Inference for Operator Models Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations

Reference 2022

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Observation 9cb9df09-2340-43ae-bf16-37ba814e72fa · outbound

This paper cites Quantifying uncertainty in climate projections with conformal ensembles.

Locally Adaptive Conformal Inference for Operator Models Quantifying uncertainty in climate projections with conformal ensembles

Reference 2023

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Observation 1dbd22b8-1901-49fc-84be-d633b74eb4f6 · outbound

This paper cites Baiting Chen, Zhimei Ren, and Lu Cheng.

Locally Adaptive Conformal Inference for Operator Models Baiting Chen, Zhimei Ren, and Lu Cheng

Reference 2024

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Observation e323351e-dfab-4937-ace5-50a7a3ade9f1 · outbound

This paper cites Local Exchangeability.

Locally Adaptive Conformal Inference for Operator Models Local Exchangeability

Reference 2025

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source=pdf_text observed=2026-08-06T13:15:41.742670Z digest=sha256:60653b6213e0e7cfcc5de49a678308be1fb76123aeba1f100e727e092be1492f

Pith citing papers

Observation 0c7a6b9f-1d65-42b2-944f-87e457b2911d · inbound

Flow-Based Conformal Predictive Distributions cites this paper.

Flow-Based Conformal Predictive Distributions Locally Adaptive Conformal Inference for Operator Models

Reference 19

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arxiv_id, observed 2026-06-09T02:06:04.868214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 487395f0-3522-40e4-aa90-f67efe340e9b · inbound

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters cites this paper.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Locally Adaptive Conformal Inference for Operator Models

Reference 10

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