Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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

Resolution
unresolved
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:c38c7ec69f80a0e178c25941e159ffb63f02d11b157adc8ad7cc406730ba66cb

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.891708Z digest=sha256:fe478d36c36ef2039c5b10b9a690379a72c87522618dbe37d343d9e4a96b0d7c

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

Resolution
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:c45d3260106a828a99a14514d28ba9dc04d616b7286d1c2a880457a6a29d7dc1

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.900755Z digest=sha256:a56559c96553766ef2c5dcc1bba08e7e7ec4f1e55988f632d0b4cf22ec66226c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.903947Z digest=sha256:52138868da22bfc36915a1d4b50f2e2aabecda2cc16e009a2048579ae54febfd

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.907230Z digest=sha256:ca0517e4e9f9d418fff519df71e8ac8d78432030e921848a6c49dedc70a82416

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

Resolution
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=sha256:227a1ec56353d8f578157ec04418f28919c1f737c5c3f44680e9612d8d2cc3d7

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

Resolution
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:e5cb32f4a19077e485d3bb9597775a4615313c143c53cdbf47ba192243d38b8d

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.918037Z digest=sha256:8996dc0b2dba5f06b52550a28b18738cb2d5e55f21a02c5c379914ae8c0cb793

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

Resolution
unresolved
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=sha256:9cbe5e56a0fe008ffefe36c45cb375f9a0f296fea6381b587211490d9ad73e56

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

Resolution
unresolved
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=sha256:6183d35429c8e3a7589b30b266921b2692e6f8347aa77225291dc70aa442060c

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

Resolution
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:ef54f653e1ee1c18220a152c59bea575a00711469886c027659ef946da1b39dd

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.931773Z digest=sha256:bb41def6345c07d732af51f1f43f74a451cdc5d2d7b16587819003fe190ff537

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

Resolution
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:c7cb2173bdab036f866e2df85c448a747aba37991aeac9752605ff873517e791

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.938413Z digest=sha256:71d039b4e1062645fc715c8a32802f51384f6a62d509d0ae941768f4f2d6cfc9

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

Resolution
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=sha256:0d0bca319da45eb53fc1b367b6a5f61584e766eed5d946e4595137ffd0288e64

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.944722Z digest=sha256:e61077bab8bb4941358c005f392a25aaf722f932631fb74c98323f6314f3748a

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.947778Z digest=sha256:73fdaa89598d926bb7434999d7d7f101eeba7293966eb9870a6168c27a7de646

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

Resolution
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=sha256:996d11f16486981f4f6b67a88ca748342881026f58f4c960b13fc71bac2d0d1a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.954327Z digest=sha256:b6d111a9fb416d84e5a35fe3317dd26fbb4d73609f7c62f07474e5d14ebbfc57

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.957313Z digest=sha256:86e9ca707e3c836fcdf6e75bccd163b0f2c22dd653fa0d17da8d9192fd556f99

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

Resolution
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:a2a9ff61d537d0e6b210dcf4716fccadfae0c0042ff04ecc3cc388a1c7e178a9

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.963539Z digest=sha256:d3fc333577cecff1063e3d4adf96afe317d9901f00d08df6bb927165024a1010

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.966916Z digest=sha256:7059e9fcdd6c3e1655e26d64310dfcc42c9771ce50ea44e716c104306f3f93c1

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.970035Z digest=sha256:be7b17009ca7c26e3ee5fd98bedf119b3511488720642f95a5d0f19a78eb20a5

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.973248Z digest=sha256:8abac00409dcd96c2b9089e5c30e0d1d37a5b74f530478ae1a3583719b78ac9a

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.976277Z digest=sha256:c10146ba44474efb2ec02aae9e88acad42ab65cb35b034f8f7c14d0ff266206b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.979570Z digest=sha256:fc540a4210d904712b8e3053c066136f8151b499a5885be407387ddc28058b20

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.982711Z digest=sha256:67b7e053ac3dbf628a59939c5a2732e21de247049280fd1f17c503d202a594ab

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.985869Z digest=sha256:640c5cfc24c0421654c1dc1c25ac1c258fc7e7a58e58b59ed831e697ef2fd28e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.988986Z digest=sha256:3b49a974ede0c97255a253f522f1f1fa920a08cd7c38c9787b3264ee010d1b13

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T14:52:18.991906Z digest=sha256:6888ba7759098806bb167414a9651b78eba8927e7b2e8ed6ddd9900f1fdc3e8a

Pith citing papers

No inbound Pith citation observations are available.