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Paper Citation Record · LEDGER

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation

As of 7 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 2026-08-07T06:34:17.273281+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

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:b284803574be642d25e242f6a3f908ae555f8905ff53e412214dc2ea535b17be

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=sha256:000b959d779ac44e26959b5bd4362fa012d6fb40587f27cf4c9ac5cd4180903e

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=sha256:5d13caa64b045a18e5f9c8bbe88140a2625142d08ae44897a8061b607119bfa7

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=sha256:39f1e8830ac3cb38da7be3b2f641e15bb1cd3d3e4186a6dcce045ef089d8d71c

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=sha256:2a0b4c540f72c3fb2db44a4e5fd48e926861f0bbfe33ec973eb0c28393b800bf

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:ebabb20bcbfdfb185d80a106004917aa679c575365e99802c089d4773d5d8cb4

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=sha256:5f9572d770271e0243b9b52c3a2c4340013aa12f33dc5462dd2c97a8d4291e88

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=sha256:85dc33f5d74380ba28a1244be012dd3e38b2e5a87947689e2372203d1fedbeaf

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:db1903b27e76a63cbf16a8c3d1602e8f62e19a3dd9aef13ac9324ecc94912684

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=sha256:7ced2c19b3439fc3d36a47bde282d32f8f51a56366a21a1e89ff82949f5b7081

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:f9cac7834560e6d508e0ab98fbe13b553dc315b1d593dcf662d3ca4f001d9384

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:f83ec8bf71635b0e6d8287e47495501d618bc715720574ec47f0227ade36f0fc

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=sha256:72d964fc5b7a1b6fbabcb73542f8917d8fa8feb33b36ea887f071b4600c79404

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

source=pdf_text observed=2026-07-13T03:30:09.207707Z digest=sha256:9d07eff153f0746b99fffcc91823842c00afd6d38a7a45cf5859d461c64d2bfd

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=sha256:9b7e856add739abbba0b1515c74fbed42c992fac1c74c6e4d73e12d0231da9ad

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:e96b32b6020c9b1d92ca676a140bd7f09247f563f01e223de85654ae1a6897ca

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=sha256:0f20cec205a1e9ba67f19d988a2a3fbfafd3c44afc7ae3fc2bbde72207221849

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=sha256:56b202146c235dbe75949ab0b7d4582f354d2169df48fedd02ac6d017a753289

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=sha256:68ea98ecbefc95074ee9ddce63b8be24403e39430c7fdbc7a4277bb825db7e51

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:f1daee560b0d372c8a2fec2c4bba065c702984709c409f2d9f3becd107e29e22

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

Resolution
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=sha256:80b7d34c9ca4892f1750a994dc76497cd7b709189792ff9c98549c969347dc4b

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:f049193e9c5a237fbddb98bb9a3df56612be04822dcc9d15c5c324af541d4c1f

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:b35f6e05aba5fa4d13783ae04501111aef55136dad0cb42282491ae9d024e155

Pith citing papers

No inbound Pith citation observations are available.