Paper Citation Record · LEDGER

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.11398.

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

pith.paper-citation-record.v1
2506.11398 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:05.227919Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:04:11.145829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:04:38.637701Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy14
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27b126d9-20fc-401c-ab84-6b3eabe78d52 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:08.642481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 147b0dee-c107-4fe8-98e9-f7f1f27eb85d · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:08.505296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7754f4ff-5fbc-4a99-9f7d-a3d671905333 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:08.419058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 202cf72a-9bf2-47f3-b8a7-eab15fa01772 · outbound

This paper cites Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.060035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e099a7c5-14fc-41d1-a55d-1131b5017291 · outbound

This paper cites Horie, N.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Horie, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:08.300395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a485f7db-a029-4734-b46b-7de2b4d562d8 · outbound

This paper cites Predicting Physics in Mesh-reduced Space with Temporal Attention.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Predicting Physics in Mesh-reduced Space with Temporal Attention

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.068151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9694e8b5-4181-4956-a14e-1e1e98d06305 · outbound

This paper cites Gilmer, S.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Gilmer, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:08.192921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0e21169-ebc5-48ca-939e-6bc3f2878f83 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:08.043898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8066e7e7-7d03-46a6-bd2d-4fae9661b5bb · outbound

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

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Scientific machine learning for closure models in multiscale problems: a review

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.081651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7aec28f-b396-48e4-a220-25071f89cb14 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Semi-Supervised Classification with Graph Convolutional Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.085846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a851fbb0-24d0-49e7-ab6c-d519885d8b38 · outbound

This paper cites Hamilton, Z.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Hamilton, Z

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:07.902963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdf6b72d-e7b5-4721-9533-a4309744e1c0 · outbound

This paper cites Graph Attention Networks.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Graph Attention Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.093947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7554f4ce-5a43-41e7-a584-077d03d0fed2 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Relational inductive biases, deep learning, and graph networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.098353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1a7928-d7fc-4fa7-81f9-8d0a3237e9c2 · outbound

This paper cites Sanchez-Gonzalez, J.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Sanchez-Gonzalez, J

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.102462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc4902c-4054-4563-bf59-a226537c9087 · outbound

This paper cites Pfaff, M.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Pfaff, M

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.106973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f7dd51-f51d-4045-a655-52a93bd61da0 · outbound

This paper cites MultiScale MeshGraphNets.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models MultiScale MeshGraphNets

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.111747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d33f06-f69f-4c45-aff8-5e524868e23c · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:07.724545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4719aee2-dd67-4d60-b48c-78374199cda2 · outbound

This paper cites MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.124380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a4f5e1-9b5b-4fa3-bd1d-9dd14a3589ed · outbound

This paper cites Perera, V.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Perera, V

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:07.415800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 888ecc71-0648-4b48-a25f-3cbd58fa7aee · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:07.275522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1c7c31f-ca3d-48d4-a400-44e87e013c4b · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:07.113528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22910159-2949-4db9-ad51-526383eae7af · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:06.939100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b79d2e9b-15f9-4b3f-b7ee-651e267c5cc6 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:06.809761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3fe5fb6-c5e6-432f-a757-52ec6220b1cd · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:06.659361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb43a6ed-5ea8-4cbf-918b-31a645e3094e · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:06.521351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d0945df-4531-46a8-83e9-e54a45045195 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:06.389598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f60fee1c-a13a-40ae-a9b3-0816878f0f15 · outbound

This paper cites Barwey, P.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Barwey, P

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:06.219403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39ae7725-e427-4270-8417-57cc109bd8b4 · outbound

This paper cites Salehi, D.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Salehi, D

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:06.030461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2226031a-58a5-4e09-9383-3c68d2583f6b · outbound

This paper cites Schmidt, H.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Schmidt, H

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:15:05.354490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c10ce66-7cc5-4720-a945-1adf321be35b · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:05.870703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad0f77d7-c6d9-45be-9e4a-3b48d0d456a7 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:05.720589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74f04482-3270-4cab-aa1f-d0c1046129ce · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:05.680486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5da681a8-f266-40a2-928b-6ae1c0c5cfae · outbound

This paper cites Huang, M.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Huang, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.643882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6de6682b-a7ec-4cf1-ba17-3488cf85ae44 · outbound

This paper cites Harel, C.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Harel, C

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.608338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7e1a159-e568-4fe4-bf54-72cb5c3b8164 · outbound

This paper cites Zhang, P.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Zhang, P

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.574877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8cd3760a-73ef-4047-9b53-74de748d6ccb · outbound

This paper cites Barwey, V.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Barwey, V

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:07.565025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14e79654-bc92-4328-904f-e5e3972358d9 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:05.542599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 028f7004-796f-44d8-9450-88de31117f98 · outbound

This paper cites Barwey, H.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Barwey, H

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.520727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f5a82e2-76ad-45bd-9e85-b29ba774d540 · outbound

This paper cites Kucharski, F.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Kucharski, F

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.495651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dcfa9e6-60fb-4b05-8b7b-5549e889f6e5 · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.211555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac3bda0-e69a-4737-a227-273e1c5fae25 · outbound

This paper cites Neural Execution of Graph Algorithms.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Neural Execution of Graph Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:05.215316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf161517-4952-4717-86cb-40bc8a6de928 · outbound

This paper cites Eliasof, E.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Eliasof, E

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.480170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e2b4ef8-525f-47b8-ba77-2b36b54d2aff · outbound

This paper cites an unresolved cited work.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:15:05.463205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4ea646f-430e-4794-9c64-5f7877c9ad57 · outbound

This paper cites Molteni, Atmospheric simulations using a gcm with simplified physical parametrizations.

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models Molteni, Atmospheric simulations using a gcm with simplified physical parametrizations

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:15:05.451967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 4be07c21-b628-484c-94b7-8a679aec0033 · inbound

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition cites this paper.

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.639867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.