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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.891708Z digest=sha256:679fa4333fc445be0f84dd977cd8d31fca30302e8c676fd3060b5bb73b168c73

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.900755Z digest=sha256:9dc451c53d6c16d44ba36bd09c2ad8345f1645002d4480140c640edd4161f52c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.903947Z digest=sha256:3d6784ae020c71b3f21d3bebc7080b1a1de80137b57026fabffa3199cef28ac3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.907230Z digest=sha256:41c45ba0d2eca6c0ff153fa5c4b58f562ea2cc769d1a3d48895a77a03d86c101

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.918037Z digest=sha256:641683e1227857c04aa653b0f3c1f0674e21cc8ee8e2844d490320b4af57a16e

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.931773Z digest=sha256:f67ecd707bd4d5b67d74eeafa9a1055308e45e52bf0a9a3c5e9d06d1d6daff74

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.938413Z digest=sha256:130e1db97e398de4a78d30d7282f277aaf191f9ca8541ac4f8389624782c023c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.944722Z digest=sha256:a7ee3d1bf96b03b2a9aaf2e2baa9b952b1da0299a5af767f08bd96f5f37fa1ff

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.947778Z digest=sha256:62780abaed3958174f293a32654e4a3ebe7d467ad09b535c8b1393c73fca9b4c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.954327Z digest=sha256:2067fc5bbf911149781628773d99813f157f4a5f8be11f4d8695806301b1611b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.957313Z digest=sha256:fc799499ef918ab834591e91e7e65b06c1dc84ba953251bbb5f8cedc29303ea0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.963539Z digest=sha256:ffc6884200ea222bb53312417f3c79894a545119399c39f0d5cb36129691aa47

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.966916Z digest=sha256:c45c22b444110365b69cbbe1f69b2b6c48007528b46ec3adc4edbcf491aad5a9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.970035Z digest=sha256:bd1acb7ea127c0c99c5ddd7fc3ae26f5a5787b9c13bed9d619fa8c7b231e2f83

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.973248Z digest=sha256:7cae62de5a16d8a34ad103cb4edfa202cf5b259358ea3ff923b2d323c596496e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.976277Z digest=sha256:eae289ead74800975c80564471be953846fb14a39ab8a781de220322c2eda292

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.979570Z digest=sha256:a8f159ded5a77e923afbe3b2202754cce0aabcc8a96365345efa71ec43a5e119

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.982711Z digest=sha256:a9ec670457d3926429536311b97c87374ccb626b582be7dc55afa2ffa7adcff7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.985869Z digest=sha256:c18ab180555d26987a6be84d01fa1b215bd37c0448a4f89b44e0ba08a2dd94f4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.988986Z digest=sha256:8a9d762cd8901090a17cfd0b2320a30b3125440ca4fa9a6e30d86ebf52b06a39

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.991906Z digest=sha256:b60167be4fea9312a764f27d8c2db09aa9a8fd5bb13d9efffeadb3a9c715761a

Pith citing papers

No inbound Pith citation observations are available.