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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=sha256:464f8f8096e6b5fdd5b6d1b2bea90d8aa9eacfb71a105b4498973f75176c7fb8

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:f0c85ecf6c63836e3c67f8d0d152bd25f797f1ececd5a0a0020cf01fde7e682d

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=sha256:13abd4ec22fa4cdbbb4a76c8831ebd51afd86c8ba93ac8c115df9517eaba4a68

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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verified fuzzy
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=sha256:4ec37bc330534c46dc756c1ff959d0f8c785ce5e5f76c2049c1492bd77ec4d2d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.903947Z digest=sha256:882d83fe322d06546e10f5303337f4271a8a52c5323d470a187e0da461bd86f9

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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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:fa412ed482eac9ed7736bf786b9deafad8823869bac1fea120601926cba294f5

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:ef3fbbe997f3df01bd5a7e3f239be640304ad231f9e8b16a044f4b0f8f485ba1

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=sha256:4a92eaf0ebd66fd1c9e9585d3e79678a73964b59b9992c9337e0af93d516f506

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.918037Z digest=sha256:0f4d49a8b27f6b69ac8db6734130915957656cbca5b351b2e59e347a138b6437

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=sha256:85d54b6bcee9ada41c03629c38e2713970bc8c859a9ca5bf30423850bba100ab

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=sha256:137a0156e26fd3fbd74b8b8bdab73e6482191bb93880b83ce4aacfa87fe8eb2e

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=sha256:64f493b60b0a8c6f1c19057021b660492541a865d1e43f0478f1ce02e7348e35

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=sha256:81ee0a06b686d618305c9856e6ff73e5bf74588f0979076bc55ed0595edc7a36

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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unresolved
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:f94453543c70694a1c0d4033bd011b0344fe57d4067fd524dc33257afcbbb430

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=sha256:6400838621df8291ca20d7d8a8b6b7ee2c40ddcaa2b3a7f7ad7a03ff344b10a6

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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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=sha256:19e46a3caafa366ced9373e063e1e5d634da9b86b5bb8f4c34da54d75fb589ba

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=sha256:1c6e6750a105866a7eabfac54b95a3a84bfe9161f4ca47566a9dc1d352072950

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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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=sha256:02527c206057c48dac97217c877e96726c5998f2ca9af366684c2a3f22f71186

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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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=sha256:7b7edf28d7d731e8f98ae0333b38cd72a4806f77810dac486ac4f4533961568f

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:d99492e9c0374958087c58a2e83d83a991cdb6161ce4c9fb09473159bf3c3f1b

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:a8a260a1b8869c14d39c93290846403ab167892a6832af879a32d4449ff91597

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=sha256:7819bb5e4c128068cde15dc329cb876893636c756e9d8dc2864002b5b092f8a8

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:d919b1cfbe7279a734efcdd5aaadc82abdcd2a747ae76684bcd3038e6f7e72b7

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=sha256:13313b8df95e1db11c28e3fbff4bbd4fa0977a6cab001767a14b1d4334fd6918

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=sha256:0c2e9b95e07b425b1107201230c57fbfabe8a42cb654ab839b7542442f81dcb3

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

Resolution
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:e97dde90106b4aee0cda78bb958076dacfa214947e0243d93501a09930b0fae9

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:cc79331cd193ea0eabcfc93b2cef38842c5dfa53065517e7d00faaa6f954cd79

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:bf02da4a5f3ad844b96196088df486eb2c8b7c78e07d4bec8b195db740b50bc4

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:bee6a10fb454d4dabb0d39428ffd918c12a9ce5191dd0e0e66e2c244d741c4d0

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=sha256:10d433c4f5317326ff1eee1eafc8f58a434e8ea5fa0e6ce6a3a2303244343515

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:e92b1b02790a7c33e31257c6b802866e2934cb89073514a652f64341821b8cdd

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:aecfe89d8a78487cfb6e37b95563c97f62101bb5c9848a0f7c19d73b3d43150f

Pith citing papers

No inbound Pith citation observations are available.