Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.046397Z digest=sha256:c61de7cdaf25ecf842127d39699dd7bca64b30abef52c0c89b37448eb20b4ce4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.051003Z digest=sha256:2e7edcfab1f772ce557215bf2757faaf2a87ef0d3c98fdb3963acaa24a8246c8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.055710Z digest=sha256:06599b7e7de581d9df658fe7ee69e9062eb7c3905d945c7c56f675c76872da8f

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.

source=pdf_text observed=2026-08-07T04:15:05.060035Z digest=sha256:4c92a2e4a2e266f1095d0251896e48c1490cc5c7fb566039b69caf8d37f59d96

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.064402Z digest=sha256:cfa41ee45ac514ea957a4d8110353978732148c987144f0473b64c94ab46b2c6

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.

source=pdf_text observed=2026-08-07T04:15:05.068151Z digest=sha256:da364a95dbdd661dff3f93ea45fac173e28c57b6dcd0f8314f33427a29752935

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.072487Z digest=sha256:736a8db1058927e04b58b8dd24695627798e1fc5304fff5b9985f96de46cb40e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.077314Z digest=sha256:04030e0be9c8cad39d806fe72af5d4178a7bc88f933c86a34811b0f662270143

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.

source=pdf_text observed=2026-08-07T04:15:05.081651Z digest=sha256:c7bb1182e7cacacc4cb6f30cca570a65d229a1c95743831936b87a6fcf0700dc

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.

source=pdf_text observed=2026-08-07T04:15:05.085846Z digest=sha256:bcdedc40992e2e6e4ea4f691a86afbd08c0abb0cf9d8d6468a6acd5fc21f1c39

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.090352Z digest=sha256:2742ea161e7b06e9277148dc2d85976e285cbe62e09e134571acb5191db676fe

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.

source=pdf_text observed=2026-08-07T04:15:05.093947Z digest=sha256:044fbbec9f08541745922f5f46d72ebe90ac9cec9c8c4705a16b55702378fe45

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.

source=pdf_text observed=2026-08-07T04:15:05.098353Z digest=sha256:8802e859f2f98d4ee425c53a66e0056ed947d55b9a1177ecc9433c2e9f622fc9

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.

source=pdf_text observed=2026-08-07T04:15:05.102462Z digest=sha256:43a391ba69c633baba0da24a4904096fb1b5169ba7295493036b2ec0f60cce8a

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.

source=pdf_text observed=2026-08-07T04:15:05.106973Z digest=sha256:7febced8d519c3c19f863f8c122114a672e3469265a58b9539f644f344a69cde

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.

source=pdf_text observed=2026-08-07T04:15:05.111747Z digest=sha256:66c13e7c49fdcc6ff7205f334a444670c26fcdb4ea002ab6d1ca36b777373165

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.115991Z digest=sha256:a7efa2e8d7f6d1565a58ddc84f00e2480e97cf8b7e4f45922d022360fc18c3e3

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.

source=pdf_text observed=2026-08-07T04:15:05.124380Z digest=sha256:e347ea36d2407aa2ad7896ad54699d0453aa5267688ecb47ced10dc30d259352

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.128403Z digest=sha256:ad1ee1e8c0c782e5ed7dc0edea8e1a6457db3d6f7db5dc5c8a4764f244c73ac6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.132501Z digest=sha256:2eb62a768c11329684782accec907db93203706b507b367a0e2efaf2ce569812

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.136404Z digest=sha256:0ce1edbdf475eecb4b3be61ca89b499d8263879e8250fc1727ea550616caf656

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.140239Z digest=sha256:850ec7871335b7eaaeaf9373c0cd4850483644537f25ee00d0b074274a8f844c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.148250Z digest=sha256:8c845f55090759f5b1646ad144b9c49a8f200a32fff43ef876012e29aadc5b9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.152106Z digest=sha256:3aea1b9c3d9814274d2d6830aaf6a19d53c279869aeebaa7199bad4df04fa8cf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.155536Z digest=sha256:84740f53c99538a01a04d5f9410d98002339cd90b988ea457053b3539b366de8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.159987Z digest=sha256:7d0074e045377e75f92ed0f3c0e7a8bf129bb2ec576d51dd632d126702c5f737

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.163603Z digest=sha256:58896a68aa06350db5544ab7f6472edc1c4a3b9092c555442b3e06e733bb8a1a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.167483Z digest=sha256:2e9a7591684a6dcd4d964baef25af557f6369f697c596b1e79cbe6fd0cc2c5c3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.171244Z digest=sha256:3086d71ccb24a78106d0079d661fd180fa8a679b02145c2c719e0aa2b09537f4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.174492Z digest=sha256:65b1a1e88ba75740f8cb3238ce635677f1df7492947023e2b98a4f7ac2b9fff6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.178154Z digest=sha256:2eba17bbda6df3539593137c6a1bb2195ad4ea38073419512110957dc8d7b13f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.181588Z digest=sha256:1b64b426d2b1d5f130fad346d5edc72d4cea773142629f957fb9668dfced56ed

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.185730Z digest=sha256:c3fdcc7b7ac9aaa36faaac837cb7663f4ef6f2afa5bc7f03320b21d01cc77ba8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.189189Z digest=sha256:e69215cf5f791ddad6d6450b39da02ce00c1df23f1e2323cb66c41fa31acef39

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.192778Z digest=sha256:ed7e7e75d1bd3e585a5852a99a6f051e8c8d57ea5005c060926a942ff832dd12

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.196756Z digest=sha256:4d6b68853d3ce2bc1aa814b9f30865d450705b6fe6775821e6c0b8af2b02ea89

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.200322Z digest=sha256:ef5d746ea0807551661742dfec0aff07b3ee95d22b6934e27a890413ee17f2e4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.203984Z digest=sha256:5ced6901c1e69aab210bf3989e9f04a079b0bf3ac59bd9b0cbab7e51790029ae

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.207801Z digest=sha256:53416d7ea1506fe16ab52f35d6b87887bafb976cd8c7f37fe7a16f9c45cfa02f

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.

source=pdf_text observed=2026-08-07T04:15:05.211555Z digest=sha256:a033bc14c9273155bd24ada0a52f9a29fa8cfaae167efe22e85c07959a0b57f9

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.

source=pdf_text observed=2026-08-07T04:15:05.215316Z digest=sha256:307e9bb4ce4c623d32e2ee633a1a538d9cdf13f8863ec0d2a915d9799b985340

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.220091Z digest=sha256:b05e2c19f206fbcac702f553a4723befcd505dea7e07f2b96b22ed261a76768f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.224346Z digest=sha256:8a92ffc084f45d155b48b4d3a6c55fe6a7fdfe0c5a8b3f5b130e19cbb87263bf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:15:05.227919Z digest=sha256:37a3db8213429472a4a3b8b2673013707ba5eb3ba48ed7a96058128a1b62c6f4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T12:04:11.145829Z digest=sha256:389fe86a257cef1711ceb1b4ed6f5f9aa5751dcafa550d397ca142b2d1e3480f