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Paper Citation Record · LEDGER

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.17509.

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

pith.paper-citation-record.v1
2507.17509 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:18.991906Z

measured 32 of 32 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 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

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19980cc8-815f-4df6-9189-b5f4b3e0d8bf · outbound

This paper cites Edge Attention-based Multi-Relational Graph Convolutional Networks.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Edge Attention-based Multi-Relational Graph Convolutional Networks

Reference 1

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no resolver link, observed 2026-08-06T14:52:18.887575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.887575Z digest=sha256:1a09161090a147a1d9cd0a43b0a51ffbcd74736ad380dadb9e9ced6bb9113504

Observation 64756756-41a9-4cdb-b9e3-d650babb29fd · outbound

This paper cites & Wei, Z.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Wei, Z

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.374744Z

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=arxiv_source observed=2026-08-06T14:52:18.891708Z digest=sha256:5616413d6f0f22638bf00394bfcfa91c6b77c2ab34dcaf095eb3df4689d0893b

Observation db6cb3c2-adcb-4024-8bf3-46ccbd4dd013 · outbound

This paper cites Optimal Transport Graph Neural Networks.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Optimal Transport Graph Neural Networks

Reference 3

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unresolved
no resolver link, observed 2026-08-06T14:52:18.895251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.895251Z digest=sha256:25d2eaf22a39a35d7e9c6441ba76efb4a5696831f2f463b83d3593622453b0b4

Observation f3f6db7a-3afe-4be5-911d-23ac69730870 · outbound

This paper cites & Lai, L.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Lai, L

Reference 4

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raw_fallback, observed 2026-08-06T14:52:19.363509Z

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=arxiv_source observed=2026-08-06T14:52:18.900755Z digest=sha256:91953be0be441860797eb1e35e8bd3651a2e1b9d60d9bbc1e4ba98fe72c14fa0

Observation b6087a81-8c78-488c-bf43-f1af107fe107 · outbound

This paper cites & Chen, H.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Chen, H

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.351971Z

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=arxiv_source observed=2026-08-06T14:52:18.903947Z digest=sha256:7efb84da649d3e04e4004c990fbb5b4018dd5c89c6be68e5f07baef6e46b7015

Observation f9c29a5c-3baf-4937-a915-564367a811e2 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-06T14:52:19.342809Z

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=arxiv_source observed=2026-08-06T14:52:18.907230Z digest=sha256:5eb3b415c7e38efc6ecbe01e2e2a3e58417b301d42035e5a8c349b9fc17c24b9

Observation 41fd8343-5f03-403f-9f2e-1022a15c2737 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Strategies for Pre-training Graph Neural Networks

Reference 7

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unresolved
no resolver link, observed 2026-08-06T14:52:18.910766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.910766Z digest=sha256:3a7b949990c9bb302c75a22d7fd99f1fe6ca9cfbb13d1bf0595307ea3b20512d

Observation 9eda85ad-bd9c-4a29-b9e2-404a0603ff96 · outbound

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

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Semi-Supervised Classification with Graph Convolutional Networks

Reference 8

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no resolver link, observed 2026-08-06T14:52:18.914480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.914480Z digest=sha256:c31eafc36ae655682c0443bb3fa82b6a178ddf9cb774d99554431912b5736ba7

Observation e871678d-7d13-4d2d-93c8-6ca45d705706 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-06T14:52:19.333260Z

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=arxiv_source observed=2026-08-06T14:52:18.918037Z digest=sha256:a3da649b8cccb945bbfa258b53451bd1f19d34c6c2a472ba586752c8d2f2a7d7

Observation 4831873d-2228-4d57-b9d2-8ebfea69ace0 · outbound

This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 10

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no resolver link, observed 2026-08-06T14:52:18.921283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.921283Z digest=sha256:42c3fc5144540d00f9b7abea0c593ee88aba99355c3581ba049d5768e7719539

Observation 4fce14e9-e7fc-425e-959e-994f1c64dbe8 · outbound

This paper cites & Wang, W.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Wang, W

Reference 11

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no resolver link, observed 2026-08-06T14:52:18.924959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.924959Z digest=sha256:f163a84fff369da596585c7ec7296869e92117680cdd007dcb54cd36652d9663

Observation 5168db5c-1e86-4f17-8f06-e36d1a4139af · outbound

This paper cites & Wang, W.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Wang, W

Reference 12

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unresolved
no resolver link, observed 2026-08-06T14:52:18.928536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.928536Z digest=sha256:ca467375a912b329f64c980036dc76533267f9616fc25bc8dc78df1c196f0ef9

Observation b18ef172-87bd-455d-89a7-06e5c066ad7a · outbound

This paper cites & Wang, X.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Wang, X

Reference 13

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verified exact
doi, observed 2026-08-06T14:52:19.032925Z

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=arxiv_source observed=2026-08-06T14:52:18.931773Z digest=sha256:5568ccc8b38f481b5b2e483292e947367b3ba018e88a6a925df1b1031bc410f5

Observation ce219b83-fe2a-4ece-87a3-366915b62a39 · outbound

This paper cites Order Matters: Sequence to sequence for sets.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Order Matters: Sequence to sequence for sets

Reference 14

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no resolver link, observed 2026-08-06T14:52:18.934962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.934962Z digest=sha256:a352907ab76973b38f2d2f6a7bef572a1850f0ea1aeb24fd8019f8639fac8d14

Observation cd09c615-1870-40ad-838e-da50223daa2a · outbound

This paper cites & Schmidhuber, J.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Schmidhuber, J

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.323476Z

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=arxiv_source observed=2026-08-06T14:52:18.938413Z digest=sha256:d926844b5d45e6f6f8bfdc672bfb7c9a30537114d9699034d74ac0424d2cc5ed

Observation 1e1efb11-51b6-468e-a460-28bfc61db23c · outbound

This paper cites A., Schmidhuber, J.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems A., Schmidhuber, J

Reference 16

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unresolved
no resolver link, observed 2026-08-06T14:52:18.941515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.941515Z digest=sha256:c8088cf237995e0ea20f462e1d54f911dd8ec11b967f5f21177a47d484b8a7e0

Observation 67eb1a82-2803-40b9-b2ba-a9c3dd8cdf11 · outbound

This paper cites & Schmidhuber, J.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Schmidhuber, J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.314264Z

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=arxiv_source observed=2026-08-06T14:52:18.944722Z digest=sha256:00cea8721277fe44a0d8855b7d18ac1dc6449736cebaa4547fe5fd72fdb16e59

Observation f62ea3b1-9c44-4211-895a-f915ce07b76e · outbound

This paper cites Neural Networks and Deep Learning.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Neural Networks and Deep Learning

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.304757Z

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=arxiv_source observed=2026-08-06T14:52:18.947778Z digest=sha256:34683bdf395d023db693f7a5512555cd3cc32162de8ec69fce45c54817db11a0

Observation e3a308da-2e40-418d-bb26-eb356f004e22 · outbound

This paper cites & Slavin, V.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Slavin, V

Reference 19

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unresolved
no resolver link, observed 2026-08-06T14:52:18.950896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.950896Z digest=sha256:dc1f6f13f290b36f4697bba2c3fe71f2cef16686ff90777d9b029b92eab04af7

Observation ef3b7773-e40a-4aee-af91-bebb19154e3a · outbound

This paper cites & Williams, R.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Williams, R

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.294921Z

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=arxiv_source observed=2026-08-06T14:52:18.954327Z digest=sha256:58b319ae897d582a9e6a58a5a614bd741b299132e53f869e0f204d9248e873c1

Observation 2eb4044b-eb3c-479e-9fb7-0d22c9812332 · outbound

This paper cites & Courville, A.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Courville, A

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.285547Z

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=arxiv_source observed=2026-08-06T14:52:18.957313Z digest=sha256:df8ee01632e06d1d9a6acdba4fcb7fda4413f6388b0ef04ed6b6eb9cb1fce711

Observation cc8d3094-3c8d-4d8d-bb6e-3702168123d1 · outbound

This paper cites Graph Neural Networks for Molecules.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Graph Neural Networks for Molecules

Reference 22

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unresolved
no resolver link, observed 2026-08-06T14:52:18.960308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:52:18.960308Z digest=sha256:2d72eecb234863477b753d172b7b95d6d10d1afe092927947a76d9b98a773059

Observation a32c12af-6a9e-415d-84e0-029e2f8981d1 · outbound

This paper cites Search Algorithms for Automated Hyper-Parameter Tuning.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Search Algorithms for Automated Hyper-Parameter Tuning

Reference 23

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verified exact
local_arxiv, observed 2026-08-06T14:52:19.052321Z

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=arxiv_source observed=2026-08-06T14:52:18.963539Z digest=sha256:66a51bf93cb6c796e1bb3c18f777a4b27d342befa099383bffc1f5f9a04d4b3f

Observation 41d21ca4-3a34-4f48-8184-e5b7bf42b6a8 · outbound

This paper cites & Hinton, G.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Hinton, G

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.276044Z

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=arxiv_source observed=2026-08-06T14:52:18.966916Z digest=sha256:500613ef6b736b3a02e9ce331cdb6010f1ac737951730cc5f9c426e73b376135

Observation 30f8ec27-b2bf-4208-9b89-585443e38ed6 · outbound

This paper cites & Piryatinskaya, V.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Piryatinskaya, V

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.265995Z

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=arxiv_source observed=2026-08-06T14:52:18.970035Z digest=sha256:9e7e29836ee97056287ac535fe3c74abe34d9c4956562af14f5f5d266d3b2088

Observation ade001eb-5c9f-4075-b994-0b49b9976362 · outbound

This paper cites & Slavin, V.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Slavin, V

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.255484Z

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=arxiv_source observed=2026-08-06T14:52:18.973248Z digest=sha256:bb34317a9f78d5b8c84201e004b967c8dca1013faf0e6a04f6848e3864a04a10

Observation de515ba0-abb2-4e15-8cec-ba45c2c1f2e0 · outbound

This paper cites & Zvyagina, G.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Zvyagina, G

Reference 27

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raw_fallback, observed 2026-08-06T14:52:19.244523Z

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=arxiv_source observed=2026-08-06T14:52:18.976277Z digest=sha256:c4ff381821d77cc3fceba4c1f9c88e77e246a1a06fdc072d605cd5125ac6baab

Observation c40035f4-8a40-4c10-b472-63b6dc07c06c · outbound

This paper cites & Slavin, V.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Slavin, V

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.232776Z

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=arxiv_source observed=2026-08-06T14:52:18.979570Z digest=sha256:d98310c8d8951ac7338dfda4089f74e04e1177f2d684aba40cd69fd71020cdd2

Observation 24e85d4d-2591-4d76-9060-9a953b622597 · outbound

This paper cites & Cheranovskii, V.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems & Cheranovskii, V

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.221262Z

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=arxiv_source observed=2026-08-06T14:52:18.982711Z digest=sha256:7e37bdaf619155f2df2d1241b4157127d997342b99e982977c54c99efd605890

Observation e8a0da7b-27a7-4cdf-a453-cbf93b3db46a · outbound

This paper cites Effective nonfrustrated model of the antiferromagnetic spin-1/2 ladder.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Effective nonfrustrated model of the antiferromagnetic spin-1/2 ladder

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.211358Z

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=arxiv_source observed=2026-08-06T14:52:18.985869Z digest=sha256:696cb6121670fb24c09d4ddd3c77d0a998957121bfb9511f2bfcddb7052939a7

Observation 2bec8808-0846-4aa7-ba52-881ecb0ed88e · outbound

This paper cites Crystals.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Crystals

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.201889Z

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=arxiv_source observed=2026-08-06T14:52:18.988986Z digest=sha256:073e7769d3c3ec8a67b062814df31961447a6efdac21d10fc83d40fafb7da03e

Observation e090695f-a77f-40b9-9957-99ac0513be4f · outbound

This paper cites Low Temperature Physics.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Low Temperature Physics

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:19.191428Z

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=arxiv_source observed=2026-08-06T14:52:18.991906Z digest=sha256:7c35b9925fa445a14054a0d3b25a8f27b4860632a1e87733bea27363e2968b6d

Pith citing papers

No inbound Pith citation observations are available.