Paper Citation Record · LEDGER

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.17626.

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

pith.paper-citation-record.v1
2506.17626 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:25.974867Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

verified exact5
verified fuzzy5
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aba9c3c7-c7dd-4958-9ae1-2e3d808f5833 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:26.811998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d55a931b-27fd-4f0c-92e7-8a816ff95fe1 · outbound

This paper cites ELM-FBPINNs: An Efficient Multilevel Random Feature Method.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods ELM-FBPINNs: An Efficient Multilevel Random Feature Method

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.813268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0763c169-57a2-4ae7-a2c4-241616de1a45 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.819153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4146ce-ad5c-423c-9a07-5df76cfdad47 · outbound

This paper cites Raissi, P.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Raissi, P

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.824888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73dc0d21-3ea7-41f5-a702-85ff03fe9266 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:26.756932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc8bb602-f6af-48be-bab8-bd2233a7e76a · outbound

This paper cites On the Spectral Bias of Neural Networks.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods On the Spectral Bias of Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.836372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6c9525-c605-46a4-a5fa-9d92d6c08259 · outbound

This paper cites Moseley, A.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Moseley, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.841589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402754ea-0457-4831-96f6-4b874f57f36d · outbound

This paper cites On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.848374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ea2bba-7a0e-4f44-a74c-bdb10b1b7f58 · outbound

This paper cites Moseley, Physics-informed machine learning: from concepts to real-world applications, Ph.D.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Moseley, Physics-informed machine learning: from concepts to real-world applications, Ph.D

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T19:15:26.116226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a808344-5871-4564-a3ca-37dbc6411889 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.857534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f44e69-bc53-4a92-a47e-2c53c954b499 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:26.689001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd4da81b-8106-4f7b-bfc5-5f0e67cfef6c · outbound

This paper cites Kharazmi, Z.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Kharazmi, Z

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:26.637293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba9ca557-7683-4c0b-8058-9150259dfe4e · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:26.619255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7df723a9-c0c6-4adb-867e-09bed9437284 · outbound

This paper cites Dolean, A.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Dolean, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:26.600589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8ef2731-1497-43f3-a295-ac2355e98651 · outbound

This paper cites Dolean, A.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Dolean, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:26.586575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1279f11d-4ba6-415f-bf6c-4158b47fae7b · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.888406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a9db89-bdbf-462c-a98d-326896a04907 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:26.573193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4c48931-64dc-4c25-8722-1a885645841a · outbound

This paper cites Lukoševi ˇcius, H.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Lukoševi ˇcius, H

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.896514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87273c63-c1c5-4873-bc52-8f85fdc17cf6 · outbound

This paper cites Fast training of accurate physics-informed neural networks without gradient descent.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Fast training of accurate physics-informed neural networks without gradient descent

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.901951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae8e23b-30cf-4dbf-8aac-615199cfce0a · outbound

This paper cites Shang, A.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Shang, A

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.906911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae14113d-53c1-4015-adff-48962ebda39f · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T19:15:26.083311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 983af2c7-e742-43fe-ab59-45afe9d5e782 · outbound

This paper cites Rahimi, B.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Rahimi, B

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:26.559088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 523007e3-123d-4328-9ab4-8dcf644a36a5 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.924335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5005bc6d-65bb-4342-8999-ff487cd65de6 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff3df2db-5419-440c-883b-cfe902b73986 · outbound

This paper cites Bradbury, R.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Bradbury, R

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.936412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 062077cf-ed67-4814-bbf2-39212c3ead10 · outbound

This paper cites Virtanen, R.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Virtanen, R

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.945641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9bbdd5-5462-4598-89c7-160b32c094e4 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:25.951172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10129866-36d5-4c52-91f6-1afd4d53297c · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 28

Resolution: verified exact; doi, observed 2026-08-15T19:15:26.052245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f012e9a-10de-4888-bc58-6fa05290a626 · outbound

This paper cites Diaconis, M.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Diaconis, M

Reference 29

Resolution: verified exact; doi, observed 2026-08-15T19:15:26.038087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db2ff195-401d-4165-8644-435492ef8d89 · outbound

This paper cites an unresolved cited work.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-15T19:15:26.022850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d46c437f-9a1d-4275-8767-75d06c91e66e · outbound

This paper cites Komatitsch, R.

Local Feature Filtering for Scalable and Well-Conditioned Domain-Decomposed Random Feature Methods Komatitsch, R

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:26.379205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.