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Paper Citation Record · LEDGER

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.09372.

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

pith.paper-citation-record.v1
2607.09372 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:30:09.207707Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16a96dc9-da0f-484e-831a-326a009b89a2 · outbound

This paper cites Newman, Networks: An Introduction, Oxford University Press, 2010.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Newman, Networks: An Introduction, Oxford University Press, 2010

Reference 1

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:f2ff5c5686ca1752b20a9152de2330bbd4b9f154869137a53973c51927ffbc3e

Observation 5ef6e565-a6e6-4a3c-93a3-3b37b4d4acd3 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:9c588e62065ad3c99e6e751c23af463853bfb13e7c844d74308ae4e5aa4a2e27

Observation b9e2a71e-1bb2-4308-b206-6751cdac64d7 · outbound

This paper cites Sabidussi, The centrality index of a graph, Psychometrika 31 (4) (1966) 581–603.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Sabidussi, The centrality index of a graph, Psychometrika 31 (4) (1966) 581–603

Reference 3

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:80b40645fe6e3e8849fac3cfec759b46d375139e7490cb428ab364fbc29beafc

Observation 941c99f8-92d2-478b-a425-2e2e044af2f5 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:6bffceb74fa1168cfb7aa416147fc789d405a90d5e59fee6c297ef9dcbe78996

Observation 64494666-333a-4014-8a21-31ccbcb58dfb · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:f2354065358be60460f82726d28147d9e5968cc8b91c30b418e433969f747228

Observation bcc408d7-8faf-4e95-83b1-ed9e46f183cb · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:4f53fbd942b4bff7f96dabde3f2152d1f42d2598422effe9b90e3c435ee9687d

Observation 4cbea6e1-252e-4543-a8fa-647b170ec188 · outbound

This paper cites Brandes, A faster algorithm for betweenness centrality, Journal of Mathe- matical Sociology 25 (2) (2001) 163–177.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Brandes, A faster algorithm for betweenness centrality, Journal of Mathe- matical Sociology 25 (2) (2001) 163–177

Reference 7

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:42656d5c59b2de52b19eb8b8f2998f3f82bcb9fa30b032efe043725b95b3124d

Observation bed2cffc-bd27-4047-b893-61389531e3c3 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:12f7dd6c9285198f41507f479e0768aadb5aeb561aec259b495f24b3aca67550

Observation 853780b8-4259-477a-ac23-d8d20bd39acf · outbound

This paper cites Riondato, E.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Riondato, E

Reference 9

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:d4c522f8ec09e3a02dbed61c9026637766614a35585e6c5a0adf5e93292b9656

Observation f69841ec-b430-4678-b973-3e06e333f564 · outbound

This paper cites Borassi, E.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Borassi, E

Reference 10

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:9b229e2b92e46991e6fff5399fc6369e9a00a45f632ca7c785e84791872a5269

Observation 8b3469f4-6fc8-4dab-9406-3b17bd076cd0 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Relational inductive biases, deep learning, and graph networks

Reference 11

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:b67c2b43d86cbe421b88979458023d463ab9c3c1cf27a5c88e6fc0ac133139c1

Observation d1d16064-d0c4-4212-98fd-f51b5fdc395a · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 12

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:332dee382317c00a77f02fbecd1d5bdb738bdac9d9c2292d6e00c5eee8cef212

Observation 31bab304-59a8-4084-9bfc-6535aa3b573d · outbound

This paper cites Veličković, et al., The clrs algorithmic reasoning benchmark, Proceedings of Machine Learning Research 162 (2022) 22084–22102.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Veličković, et al., The clrs algorithmic reasoning benchmark, Proceedings of Machine Learning Research 162 (2022) 22084–22102

Reference 13

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:430b035d1c1a6dd46fabe1f370ad198cb31facc4411f81f0a9ad6c1ec3c1e579

Observation c60ab78b-4106-47d0-ae60-0ba0978fff63 · outbound

This paper cites Zhang, X.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Zhang, X

Reference 14

Resolution
verified exact
doi, observed 2026-07-13T03:39:17.753126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:7286d78a7f2790a357c142a2611bc9b99369d7514c5197cfa15165b646892b4a

Observation c4c41710-153a-4f1d-ac1a-4cf40fad2a42 · outbound

This paper cites Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks

Reference 15

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:9f9c17ba73bfaa3a5b5e32968cbae3fff5e42634c19a3875487e30e6e3ca6cfa

Observation 1d084dcb-ab0f-45ba-b916-1339b0565992 · outbound

This paper cites Dachille, A.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Dachille, A

Reference 16

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:11dca49df8d267121d8f6e4fd11a2f6e5619d196c1613fef570023a8b6b17b75

Observation 0fb4ab1d-1269-4867-9ea7-3520334283f4 · outbound

This paper cites Yehudai, E.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Yehudai, E

Reference 17

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:6b4a217c1ce4334c94c93e37f049f9ce7180854690337f83e7a5b895bc514ed2

Observation 72813482-b513-4731-8eee-ed3a96f40331 · outbound

This paper cites Handling Distribution Shifts on Graphs: An Invariance Perspective.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 18

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:6011232ba349c8a6d21644e3c191773a30e2e073ee208a1d8d4565c7c8301684

Observation 2d0582ca-51c9-4773-89f1-54e646b69f10 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:a2cc948ac1acdd2177855fa1b16f78a44971dcd7d13277d7ac3db859607a4f1c

Observation fe959d80-4cbc-4027-8d39-52f9e6fbb0c0 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:d6cd609fcfe667d7e0dff4716b5bcabd0dae84552a2c67475222c555bd4f02a2

Observation cbbca897-22ab-475e-a309-7f1a9c3852f5 · outbound

This paper cites Erdős, A.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Erdős, A

Reference 21

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:20b63a81daf59a0b301cffc84a2a6c58d2b0a6dcc0f299c1153e95863eb3aa5d

Observation 42b85e92-6876-47a5-8ce1-24d69a578d74 · outbound

This paper cites Barabási, R.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Barabási, R

Reference 22

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:7f3e4301fdcc7b9034cb23a750f0e384efa16314b63062ee7cb6f6a8bf3bc1ac

Observation 289e9b5c-6be9-4646-b904-f49839c07f4f · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Unresolved cited work

Reference 23

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unresolved
no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:71d8cb7df482b39acaf3575130f2c5a57ba8424fee5f1c6cdd2c7e1bec1400c4

Pith citing papers

No inbound Pith citation observations are available.