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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:2d70d4e49bba36220d5bc0aa9727c963160b9db4499a364c351a2be4f7d53792

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

source=arxiv_source observed=2026-08-06T14:52:18.891708Z digest=sha256:a18470636f08161ba280b77fd32f08cc4d7ef2b70565d6906dff2b82eaeace82

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=sha256:9e0b5eaadea07e375fefe753a5d6c388d141a35dc3064d3382fbc3013c9c1935

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

source=arxiv_source observed=2026-08-06T14:52:18.900755Z digest=sha256:f95a42564f4ed3a2e436e50cc8cb8a5b582e21e777dec0bdfec6328cbd2ce896

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

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

source=arxiv_source observed=2026-08-06T14:52:18.903947Z digest=sha256:bb0aa23e66ad771b1995a69f76433c95d80cb682347c6514e5e19572e298fc8f

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

source=arxiv_source observed=2026-08-06T14:52:18.907230Z digest=sha256:65d55b714c872abc08eed6a657d7cb2e06417ca95039a02f6deb7d2487eb3f79

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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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:d9b07588f28c7c779d58415f569031d16a7d2eb08c6f03dcfa547e94954b9e8a

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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unresolved
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=sha256:3843956450f2f5f5e6d5c2f3d6afc864380b239988ffc7a20210663c2dd7f119

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

source=arxiv_source observed=2026-08-06T14:52:18.918037Z digest=sha256:ae1cc55aefd25c78cfb7f2d2f29ff6030b897b2523f9ee5aaf0ccb3d6570b988

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=sha256:8458c1ba30bfded00c7b4b652cc74df1052a50e88e1a890a709dfa4f2b347923

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=sha256:8dad9326e833414f05e6572339b2b9f282980a1d4053fc27cc5b39ec7ec5aaa2

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=sha256:591e19a1dee541c94bea1869d21b135eef76aec3bc5925bf43d4ece15fa477a5

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

source=arxiv_source observed=2026-08-06T14:52:18.931773Z digest=sha256:459cc250f5e24e98b23cbd844e8af3f904410ac646a3730bf9305076aa67c6d5

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=sha256:033067c1df5e332416fd1fdb776fe9c68b78f2342484f49ee91654030be11f11

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

source=arxiv_source observed=2026-08-06T14:52:18.938413Z digest=sha256:f6fc47d027bd3be40c3d158315ab5b860ff1d128ef0244d61efc612cf48c8864

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=sha256:64a8b12da56fa4b5359caeb09de7a3b492cba665c63966cd9faecf2eee6c28bf

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

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

source=arxiv_source observed=2026-08-06T14:52:18.944722Z digest=sha256:e9ffd721377a92870b6dfa87adb1bfab0d461c4101e2941e8af4d60964aaf2f0

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

source=arxiv_source observed=2026-08-06T14:52:18.947778Z digest=sha256:2d4e988ed626304fa8dfecf31309d0dfab6096dbeef258c27cf0f4a08c97713e

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:e741cbf94f1c541e9044421b3f32714a2ec69159a121dea5394f7e158fa31e22

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

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

source=arxiv_source observed=2026-08-06T14:52:18.954327Z digest=sha256:93e02067921db3ba75cfdb9b92ca54f488e27fc0b1a375fcc7a3076a3173edf0

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

source=arxiv_source observed=2026-08-06T14:52:18.957313Z digest=sha256:a34684b6f77a64236ed40cc86989f1eae464acee8e0de5d8940bb859d68ac644

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=sha256:337f8eaf849a876b6ac9fd7bb06d2acd53b1b7519738fca3bc6df8e7ec4e2704

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

source=arxiv_source observed=2026-08-06T14:52:18.963539Z digest=sha256:f0fdf562f7a1f73f06f896fc3337b7f8bbfb83017b7f9133c97c02ba29d7d961

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

source=arxiv_source observed=2026-08-06T14:52:18.966916Z digest=sha256:b67acf5a2ddb93ead62aab17a544b63f9afa6f0b88021947dd625e455891361c

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

source=arxiv_source observed=2026-08-06T14:52:18.970035Z digest=sha256:619597e4e1595bb43238a62af88039857551dadd57f28718feccacba812e310b

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

source=arxiv_source observed=2026-08-06T14:52:18.973248Z digest=sha256:baf01f4a5d82ae9ef123baef2a13d9a2e95f6d8f616b5699ebee1a499edc32a2

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

source=arxiv_source observed=2026-08-06T14:52:18.976277Z digest=sha256:f355745c3e74217f24fd8dad84f9052f92241e3cfcb77324f2b9167c2a9060f3

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

source=arxiv_source observed=2026-08-06T14:52:18.979570Z digest=sha256:83f52cc09d0e6be017363865d12dc1e6bcfebd985871947f8d27a7880df3e921

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

source=arxiv_source observed=2026-08-06T14:52:18.982711Z digest=sha256:8cc3e4fc461c27f49ef4d46a9785f0a948f596e82aa1d25c3cb5861f1a596aeb

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

source=arxiv_source observed=2026-08-06T14:52:18.985869Z digest=sha256:fb3ea1d426b5409e800cbbb81360eff20e07b5016be37b648d6d72e885029764

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

source=arxiv_source observed=2026-08-06T14:52:18.988986Z digest=sha256:d652faacaba0196557d7a63eb3297786b6cbc4170efaa402792a549bb79b7375

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

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

source=arxiv_source observed=2026-08-06T14:52:18.991906Z digest=sha256:d60d11a31f943a60937ce53e06392fde34f712802374f15f0e10986e6c08e5b1

Pith citing papers

No inbound Pith citation observations are available.