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Paper Citation Record · LEDGER

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.05533.

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

pith.paper-citation-record.v1
2507.05533 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:20.666328Z

measured 19 of 19 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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a2ac66f-d9d4-410d-a706-63b8c7f364de · outbound

This paper cites ‖‖CDn W+W0 WXan−CDn W+W0 (W+W 0)Xan ‖‖ 2≤ ~O (√s√mτw∥A∥1 + √ kσw∥A∥1 ) (29).

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification ‖‖CDn W+W0 WXan−CDn W+W0 (W+W 0)Xan ‖‖ 2≤ ~O (√s√mτw∥A∥1 + √ kσw∥A∥1 ) (29)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:21.179924Z

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=pdf_text observed=2026-08-06T19:36:20.546319Z digest=sha256:84f770db5feb9c73b1215350bdb958ba281a9a650e533ae01c49cee317d6eba7

Observation 1555f1c3-6a69-41b5-9b38-e4b15efb9b23 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:21.054730Z

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=pdf_text observed=2026-08-06T19:36:20.573925Z digest=sha256:e705f754848a9f728c74fbed9c71b5423db8f4581ab3963e06362554695c25dd

Observation ddca0e72-ee4a-49a8-b15d-879752d69245 · outbound

This paper cites ‖‖Dn V(0)−Dn V+V0 ‖‖ 0≤O ( (τv σv )2/3m ) (31).

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification ‖‖Dn V(0)−Dn V+V0 ‖‖ 0≤O ( (τv σv )2/3m ) (31)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:21.144582Z

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=pdf_text observed=2026-08-06T19:36:20.553475Z digest=sha256:4b426c292548ce36281ff84da4ad076f12ae950935915b9f517aa9906b1b7baf

Observation 10ef93d0-bcc5-4292-8c04-8f4af8f67acf · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:21.004651Z

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=pdf_text observed=2026-08-06T19:36:20.587992Z digest=sha256:0d4fa6ceaee12a9840ecd31fe503c457377e1c563b00ac02adb288e5c7b3203b

Observation 4665cbbd-e2f9-4800-b923-349b7df31b4f · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:21.107445Z

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=pdf_text observed=2026-08-06T19:36:20.561969Z digest=sha256:79e850b9bfd5268ad9603e3de513766c056d8699bf12ad4bd011ab7f2b8d71fc

Observation 3cd82a5c-4f13-460b-9830-79974ce6cd34 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:21.084204Z

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=pdf_text observed=2026-08-06T19:36:20.567662Z digest=sha256:bb50271532b6340129710fc57899f3a0fabfa17d2c85e33afd90bc92451f15e2

Observation a10171dd-b5eb-444e-bd15-5659aa3101bb · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:21.031036Z

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=pdf_text observed=2026-08-06T19:36:20.581208Z digest=sha256:5fcbe46c532c7f4d34da4e84a214904a5a668695632bb574931d32029a552663

Observation 67363432-6d39-4124-84f1-8d1b1cb52f18 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.977236Z

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=pdf_text observed=2026-08-06T19:36:20.602077Z digest=sha256:376c0a146667ed90c764389646f08fadaa7235394c764f935db8ba7b707a8228

Observation 29299cdf-a134-4b0a-a759-edd9d590362f · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.940552Z

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=pdf_text observed=2026-08-06T19:36:20.607228Z digest=sha256:a320b7557a1fe859442bd3661bb14ac2684659eccf53d92376acce48096a5dba

Observation e07c217a-b610-4eba-ba2d-e352b79d4047 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.920894Z

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=pdf_text observed=2026-08-06T19:36:20.611480Z digest=sha256:267a19822781a732b05a70c1e24fb84ad4b0b87759c090a131675164c7a7938d

Observation 2002e6c7-e86b-48d1-8777-c63c3109c58e · outbound

This paper cites En∈V,(X,yn)∼D [‖‖CDn W0+W(W∗−W)Xa n−(Fn(X,A)−out 1 n(X,A)) ‖‖ 2 ] ≤~α2∥A∥1 (45) Proof:.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification En∈V,(X,yn)∼D [‖‖CDn W0+W(W∗−W)Xa n−(Fn(X,A)−out 1 n(X,A)) ‖‖ 2 ] ≤~α2∥A∥1 (45) Proof:

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:20.895037Z

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=pdf_text observed=2026-08-06T19:36:20.616781Z digest=sha256:2da9379c463857f5159fd4b4aa2274e17f0986af8214fa657edc4716266bc68e

Observation a25a4f60-73ee-4f56-90e5-6b20486131a9 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.870976Z

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=pdf_text observed=2026-08-06T19:36:20.621531Z digest=sha256:e00c8c01f8015c2bc74450f73d5d2b91c199e3ae5072595c7ca6d0f7160bcf39

Observation 8b0e056c-26e8-4dcc-b9d0-d3cd193a6a7a · outbound

This paper cites 3.∥W ∗Xan∥2 ≤O(∥W ∗∥F∥Xan∥2)≤O(τ w∥A∥1).

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification 3.∥W ∗Xan∥2 ≤O(∥W ∗∥F∥Xan∥2)≤O(τ w∥A∥1)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:20.847581Z

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=pdf_text observed=2026-08-06T19:36:20.626843Z digest=sha256:d231c4e280426197e467d776f90d5d87c83d887f9d12ca87b2f847287f0802ae

Observation 0605fa19-481d-43e9-a3ae-c6d9f9d4ea02 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.828838Z

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=pdf_text observed=2026-08-06T19:36:20.633278Z digest=sha256:c8720d65b61647f94d8b0e3f624203f7b595c5aea7243e93ee2cec2c3445120f

Observation 1c27a755-549a-485f-b522-98d97c5b4142 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.811807Z

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=pdf_text observed=2026-08-06T19:36:20.640011Z digest=sha256:e6c7320c1d6283e412f30238e012cb7dbbad8f9ad2fa720c3eb50aaac5a4a78b

Observation 6e97aa33-872b-413e-8071-d71ce24a294a · outbound

This paper cites 25 Published in Transactions on Machine Learning Research (June/2025).

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification 25 Published in Transactions on Machine Learning Research (June/2025)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:20.794146Z

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=pdf_text observed=2026-08-06T19:36:20.649529Z digest=sha256:654c34c2da891942d869738469f47d4cd89689f97bb57ff26687e34ba9acdcad

Observation 12743e66-fdcc-4874-a25f-a160d29f8279 · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.767600Z

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=pdf_text observed=2026-08-06T19:36:20.657727Z digest=sha256:fe191688e94e25dc54a44caf07fa1c557efa01f7854b24bda66b3148a1080f73

Observation 7ef9749b-c578-438d-821f-157de8afda3f · outbound

This paper cites an unresolved cited work.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:20.747072Z

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=pdf_text observed=2026-08-06T19:36:20.666328Z digest=sha256:2607618960f2050c3b1cd43e312abfa8f03131f88ac086a3dfe938081e09fa49

Observation 90431217-3237-4bda-8600-f6ebd509baf4 · outbound

This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:20.539582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:20.539582Z digest=sha256:c97872d8d3d3c58db3ba99e39ff11448af434cd93ed4fab8fcf36b5de742a078

Pith citing papers

No inbound Pith citation observations are available.