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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 8 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 2026-08-07T06:34:17.273281+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

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

source=pdf_text observed=2026-08-06T19:36:20.546319Z digest=sha256:70acc556e8a94514ecc2bc24206db1f476e2b1fd512821c7c1c6fb042f301379

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

source=pdf_text observed=2026-08-06T19:36:20.573925Z digest=sha256:0d23e78362de8c1d967f9880a6d9cccfd89dfb97a4329014fb3927e88ffff4a0

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

source=pdf_text observed=2026-08-06T19:36:20.553475Z digest=sha256:f9e57be80760d40b7a8a3cb399bad8ef16515c9fe22a512249a19b3d3e30a45e

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

source=pdf_text observed=2026-08-06T19:36:20.587992Z digest=sha256:dd91eacf6c780114e319d3190a8e956883855f09a7ad86453ff4f3085663055c

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

source=pdf_text observed=2026-08-06T19:36:20.561969Z digest=sha256:a8172af923a17ddbc709829caac97a78192760b3774b948a16c7cc39cd5e1f1e

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

source=pdf_text observed=2026-08-06T19:36:20.567662Z digest=sha256:8b8e942472fb6287a32e90f510d5641be6a6e6f420e993d7c119589507f7fc06

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

source=pdf_text observed=2026-08-06T19:36:20.581208Z digest=sha256:1d81cac73e0ac7ebd618cfce2d9181a72960ba93b9028208256680da24fb3810

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

source=pdf_text observed=2026-08-06T19:36:20.602077Z digest=sha256:c7fb8b201faa0c1369f34ece6286280f074fb5a773e1d8cf7dad1dab87311826

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

source=pdf_text observed=2026-08-06T19:36:20.607228Z digest=sha256:25a6fa9c9826b6f45d31f5dbe971c64218bcf553ae515643237e35468ec12c3f

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

source=pdf_text observed=2026-08-06T19:36:20.611480Z digest=sha256:4c05cbf9cc47d326902cd65ca277dc3919822add65fa8c25102a3b60de722772

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

source=pdf_text observed=2026-08-06T19:36:20.616781Z digest=sha256:c2cb3acf3237f5669709bf92e7f270f3a0028dd20c22c1f5b900c8bd80b10244

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

source=pdf_text observed=2026-08-06T19:36:20.621531Z digest=sha256:21cdd5e32d8e44f9ea1675436b850f3505ddda8d691b791905b0a3cedcf8f564

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

source=pdf_text observed=2026-08-06T19:36:20.626843Z digest=sha256:8b1530646b1853bf53818a72d0eef2dc8b1232b2e63e04ab0cc7689203fa6da3

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

source=pdf_text observed=2026-08-06T19:36:20.633278Z digest=sha256:3ca301a2db5767f5a8629ffb3030b3c56b614a27fcc12b8e9a875899162c44f9

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

source=pdf_text observed=2026-08-06T19:36:20.640011Z digest=sha256:9e6a6c0fb1b69645b0cfa1fcca8b522ccc9495a6725f3f31a10731a53be07554

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

source=pdf_text observed=2026-08-06T19:36:20.649529Z digest=sha256:9c29bda5e8aa5dbfeb46d65966fbe19caa01918c52aa840cd620838fa1c3dc2e

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

source=pdf_text observed=2026-08-06T19:36:20.657727Z digest=sha256:eee5d66e86a5a6eea2f50445a8316d1b68351404b8af18a64118b487c5c566b3

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

source=pdf_text observed=2026-08-06T19:36:20.666328Z digest=sha256:c030e78624635c0a2c31277b46e3a83ec0079576522a2e384bac46333c7b16fb

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.