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Paper Citation Record · LEDGER

Effects of relational graph modularity and depth on the learning performance of neural networks

As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.10005.

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

pith.paper-citation-record.v1
2507.10005 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:46:42.464001Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6bec792-8d2b-43fc-ac8d-08500f7a97c4 · outbound

This paper cites LeCun, Y.

Effects of relational graph modularity and depth on the learning performance of neural networks LeCun, Y

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:49.946670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.318676Z digest=sha256:f8208b1b3ea7d7d2aac967f539edd20420a7df6d96007a465a4ca400fe9366f8

Observation e1f0e759-1e20-4425-844c-8dff4cc2cacc · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:49.711691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.391772Z digest=sha256:12bcab504f66f45f07b6264bffcf54fdceb467703e8a479e71550b5bb2ea837e

Observation b0fcc2c4-7ae1-476e-b0ff-5fe474cec640 · outbound

This paper cites Zoph and Q.

Effects of relational graph modularity and depth on the learning performance of neural networks Zoph and Q

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:49.477491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.433995Z digest=sha256:654acd206fa0a1ede3f73c8fe8631af4d0cd830098bb26b63c72968aced19737

Observation 1356aab9-0433-4a8a-bffa-078feb943eed · outbound

This paper cites Dressler and O.

Effects of relational graph modularity and depth on the learning performance of neural networks Dressler and O

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:49.257283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.514013Z digest=sha256:0ad49faaac18d9391b1549bbd108516fce3233d454485a4ccfcf77bb40940c56

Observation a4cc431d-bda3-43b9-9281-69f42cfa9868 · outbound

This paper cites Barab ´asi and R.

Effects of relational graph modularity and depth on the learning performance of neural networks Barab ´asi and R

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:49.108104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.582876Z digest=sha256:2d65e0f6e27d504f01b47f71c8d1edb0992e20f4512763e5a28271bf05fbdb18

Observation 3dd6368e-06c7-48c3-baaf-a1a26c5e2b95 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:48.998805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.635185Z digest=sha256:24f96dea0ffe2bb8e2166196d69f838c0d77586ffa96b755f0326aa58d4dd014

Observation d778bb3b-0843-4d6f-87ac-92dc4f609a12 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:48.841974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.698410Z digest=sha256:6398279c88ea0116798dee057a43a5bfa2ca6ffaf3c67cd375e8b12fa61d5395

Observation 87a39425-2fb1-4aa0-b8b0-8d038257df46 · outbound

This paper cites Fortunato, Community detection in graphs, Phys.

Effects of relational graph modularity and depth on the learning performance of neural networks Fortunato, Community detection in graphs, Phys

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.732833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.755898Z digest=sha256:a99e501a0df54fe0e50de67acbac487e82ab5b866754ab5c01b0b99d3811172e

Observation fe9ae392-b15e-4ab2-97dc-b4e86b806a94 · outbound

This paper cites Fortunato and M.

Effects of relational graph modularity and depth on the learning performance of neural networks Fortunato and M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.649450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.793690Z digest=sha256:e9c3c3922981f4f35978870352a45cc84c1be4095603d492b5414ef50ff602e6

Observation 07190a63-6ff8-4521-b04c-c865994efb6c · outbound

This paper cites Bullmore and O.

Effects of relational graph modularity and depth on the learning performance of neural networks Bullmore and O

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.529773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.883141Z digest=sha256:5365babc9ccd49fe382362aae4cf92ed0f7b384c8c674f0259bd3fe0a43249af

Observation 7283b1ce-c4ba-4971-ad2a-3540dafcbbda · outbound

This paper cites Meunier, R.

Effects of relational graph modularity and depth on the learning performance of neural networks Meunier, R

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.396496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:39.948589Z digest=sha256:f4bd47a5d040e82b5daceff4b2736d66ca665efe89f94590c78798d5b8d8cf9c

Observation 31b874db-c163-43d4-a5ed-9db706784864 · outbound

This paper cites Clune, J.-B.

Effects of relational graph modularity and depth on the learning performance of neural networks Clune, J.-B

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.285106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.005246Z digest=sha256:db55d5ac7d4a560ece94c6f7511bf43481ec67fa4969e1b673bb980d195451a5

Observation 3150c816-df77-435c-b97a-fe0ffa49d0ba · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:48.185210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.053753Z digest=sha256:f25d541b7ab35b8c454fabfef8ccf9b68f3bc34e5ec852a8700077316fc47211

Observation c8ddd46d-9ace-4a7e-b7da-ea488d8b35da · outbound

This paper cites Rosenblatt, The perceptron: A probabilistic model for in- formation storage and organization in the brain, Psychological Review65, 386 (1958).

Effects of relational graph modularity and depth on the learning performance of neural networks Rosenblatt, The perceptron: A probabilistic model for in- formation storage and organization in the brain, Psychological Review65, 386 (1958)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:48.080042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.102730Z digest=sha256:c250ddf8504fc3076cbfabe401ddb1067cc641e201a306b63a7686f4a77107b5

Observation 4e4f3f37-ac0e-4b68-8805-1c1abc9999f8 · outbound

This paper cites Fukushima, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biological Cybernetics36, 193 (1980).

Effects of relational graph modularity and depth on the learning performance of neural networks Fukushima, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biological Cybernetics36, 193 (1980)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:47.930350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.131198Z digest=sha256:9bdc40a3d2cd74c69150c0639270853936ad9a5df30661b43ebcbc52d43a2000

Observation 94820a81-a5aa-42b4-bb47-ca1cf7d952b9 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:47.798462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.193360Z digest=sha256:935e37038afe34851cdcd6ab671630c64a23bc5ad240db7ad052f84e31c8ea11

Observation 36adfd14-c659-4b4f-b72d-02d6f25969a5 · outbound

This paper cites Krizhevsky,Learning Multiple Layers of Features from Tiny Images, Tech.

Effects of relational graph modularity and depth on the learning performance of neural networks Krizhevsky,Learning Multiple Layers of Features from Tiny Images, Tech

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:47.697272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.231777Z digest=sha256:23f08b4fd6b82a94962652725053aa36ce96337d7d00a299db1b48a72315ab3a

Observation 1c3f9ff0-b57e-4c30-a3fd-bbc043e876d0 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:47.557999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.269440Z digest=sha256:df5a0465c3b9ce673be8b6545f2b85cc2114850df756c1fa8834864ca147ff51

Observation 6aca3e8a-0791-476e-ba70-c05067f6598c · outbound

This paper cites Barab ´asi,Network Science(Cambridge University Press, Cambridge, UK, 2016).

Effects of relational graph modularity and depth on the learning performance of neural networks Barab ´asi,Network Science(Cambridge University Press, Cambridge, UK, 2016)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:47.432977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.319700Z digest=sha256:107502a725274457e46597f0d8709a46dcd546068e2ffcc7de70166fb9c7731f

Observation c73cab56-dbbc-468a-a2e5-fc8c2959b975 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:47.264178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.382239Z digest=sha256:ea44a298b9400c972f775f5baecfe92cc485d0f13bf6c4690a78a594c6c7ecf1

Observation 79a6875b-d04c-42b2-bc8d-d601fceae722 · outbound

This paper cites Menczer, S.

Effects of relational graph modularity and depth on the learning performance of neural networks Menczer, S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:47.166130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.410632Z digest=sha256:d7bb5eca15ac8c2ea0ac5e7eba21e0a5705fabf20900dc54ee6e9fb0755c7b23

Observation 7880e655-7e8f-49ad-8b0a-5e9c709fd634 · outbound

This paper cites Erd ˝os and A.

Effects of relational graph modularity and depth on the learning performance of neural networks Erd ˝os and A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.990039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.437695Z digest=sha256:dc3fdb3fd6c8730534b75450766282ffadc1843d9ba650a4138ef0a97c633bd8

Observation ec87a878-c59c-45a2-abd7-1dbcc240d8a7 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:46.789193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.493907Z digest=sha256:e4e0c607b5961118839c1722f96b172091db04b6ec204b462ed67cf9f13fbe61

Observation f85ae214-c507-4731-b550-94ba198595c0 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:40.543310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:46:40.543310Z digest=sha256:66a23ff361c63e96c4bb16d5f325fe9bffcdf0401987dfad4a87b917e37bd54d

Observation 85c380e7-84fd-4259-ab89-31f948811b13 · outbound

This paper cites Mehta, M.

Effects of relational graph modularity and depth on the learning performance of neural networks Mehta, M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.631349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.601913Z digest=sha256:c105aa4da7f5f68b7e1de2d192aa590001658f2cee4ade21a0fb0a3ae95c01b3

Observation 634eae90-42ba-4566-b573-956d3b6ba62a · outbound

This paper cites Arya, relational graph web,https://github.com/ yasharyaa/relational_graph_web.git(2025), accessed: 2025-07-12.

Effects of relational graph modularity and depth on the learning performance of neural networks Arya, relational graph web,https://github.com/ yasharyaa/relational_graph_web.git(2025), accessed: 2025-07-12

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.478196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.678722Z digest=sha256:be8e40a9e017b11ef26d58a8420159cfdf4adfd634a476c21e5c0837323ed816

Observation 95d03fed-0649-41e4-b29e-ae9b9419fd98 · outbound

This paper cites Lancichinetti and S.

Effects of relational graph modularity and depth on the learning performance of neural networks Lancichinetti and S

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.366339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.728967Z digest=sha256:3a875f7e5a5dec73862d4825b0b31cb839b016a6dd35ac56ac94fb1f1d92c904

Observation 50e7c3e7-ac76-4dd3-b91d-074bd85b27a5 · outbound

This paper cites Arya, Simplified LFR Benchmark Graph,https: //github.com/yasharyaa/Simplified_LFR_Benchmark_ Graph.git(2025), accessed: 2025-07-12.

Effects of relational graph modularity and depth on the learning performance of neural networks Arya, Simplified LFR Benchmark Graph,https: //github.com/yasharyaa/Simplified_LFR_Benchmark_ Graph.git(2025), accessed: 2025-07-12

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.202925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.797899Z digest=sha256:12ce7c2c826ceadbd8185824795602bd2ec7d3c85d7f5c0fc7bbe83f09facd6c

Observation 6cf76751-71bc-4907-8e50-fdaca2e99b30 · outbound

This paper cites Brenner, The genetics of caenorhabditis elegans, Genetics 77, 71 (1974).

Effects of relational graph modularity and depth on the learning performance of neural networks Brenner, The genetics of caenorhabditis elegans, Genetics 77, 71 (1974)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:46.048223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.825476Z digest=sha256:e6b1f22c662b60e823a027d02e828f9bf09abbc65371c42c76e07a7d804c3db4

Observation ec57a90a-f057-4df8-8226-6f7ec7fcb77e · outbound

This paper cites Kaiser and C.

Effects of relational graph modularity and depth on the learning performance of neural networks Kaiser and C

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:45.904427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.868904Z digest=sha256:f79b11fe4ae01878a4cbdf5438b448573759365fd82832e5a7248600222e0449

Observation 19b45000-3f16-49c3-b4d3-4716d5bbe3b9 · outbound

This paper cites This approach ensures the connectivity of the entire network, preventing the isolation of message exchanges and facilitating effective information flow across the network.

Effects of relational graph modularity and depth on the learning performance of neural networks This approach ensures the connectivity of the entire network, preventing the isolation of message exchanges and facilitating effective information flow across the network

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:45.707200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.902503Z digest=sha256:5e0eb7d80cef40b170e27a7b133b804f0053f74299d39eaf7e54bb7cc0e6b8b4

Observation 342e6ba9-f982-4af0-ad2c-ea68c6948794 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:45.498219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.939823Z digest=sha256:65818bbdeddf31c416d8fbd0a2decee09fba1a84f5bb84c0d5a633f9e9b9b9a2

Observation ede13580-505d-4d10-812b-5e1ab5069d36 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:45.280945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:40.982665Z digest=sha256:a6147ccfd1ab8c2128cf95063818e47c4d2ffdb532ce83ecbee5503c203e0b15

Observation 0fbad02e-4ea9-42bb-ae0c-64ff9413a02d · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

Effects of relational graph modularity and depth on the learning performance of neural networks A Survey on Oversmoothing in Graph Neural Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:41.047493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:46:41.047493Z digest=sha256:0e97721d084d6d3c38c4b247f00aa8d752b375dcbbf1db430ac522c04210be61

Observation a09a31cf-2909-4c6f-bc63-24b16bc61aa6 · outbound

This paper cites Belkin, P.

Effects of relational graph modularity and depth on the learning performance of neural networks Belkin, P

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:45.063816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.103453Z digest=sha256:109cf8f94e9ad127b28186e0c28e8d5dae3fe61533eb4b89c9f49b0d96e98b93

Observation 90678211-756f-411a-a007-79f2e8a4b7e4 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:44.858836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.175620Z digest=sha256:477ec8fe4ebee18b453f9c3222a88ae6cb51c48da29d1c4139726298a6f3e48f

Observation 593d3e25-1f90-46c9-804a-288df597da71 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:44.520276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.283046Z digest=sha256:3897c64cfcf11d59217385f8d9153545aa2f4f9eee580c6f4af8f92a1e2e0a8b

Observation 9eda4636-a2a3-46e5-8d5a-6d521deb2b4d · outbound

This paper cites Sporns, G.

Effects of relational graph modularity and depth on the learning performance of neural networks Sporns, G

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:44.309869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.411853Z digest=sha256:f6aa9ca006576d25e7b339751ad010ebe2c747e5ab3a48601b7f1c29958ae6ba

Observation 51e1ce73-2eb3-4bd1-b174-d034c8816d47 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:44.088086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.521477Z digest=sha256:57581924df9bbdc2b97079ab25b6ef65951926fb53407ab0e1fc1c9bc5a20d20

Observation 8b79328c-f1d0-4640-a179-696801237e89 · outbound

This paper cites Gilmer, S.

Effects of relational graph modularity and depth on the learning performance of neural networks Gilmer, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:43.842060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.628535Z digest=sha256:7b9023731e1adceeb12a7b47e7e15b57aec6a2b3fecc8f8d550cec7e04d46e9a

Observation 63866257-0228-483d-b069-d1fdfe4c206b · outbound

This paper cites Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society: Series B58, 267 (1996).

Effects of relational graph modularity and depth on the learning performance of neural networks Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society: Series B58, 267 (1996)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:43.605833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.708642Z digest=sha256:9cdc9d7467377b7e4ecd0966c954c31a9c0c16a76f8da2202f417deb3c57e487

Observation 15c771c2-0a5b-4093-831d-965202f7b2e2 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:43.447778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.815901Z digest=sha256:f88548335873d78d41497793a2022878e1ffd986bbaf8a375eb46fe338e45190

Observation c016c3b3-ee91-4574-9044-123d9ca71d39 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:43.341497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:41.895811Z digest=sha256:a87d9f5e756cbc14459a24dff6f4795d745c0ae124941015b0e5b5b11ea39e6d

Observation 51e26ebb-d9e4-4a76-add2-b61e4d994463 · outbound

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

Effects of relational graph modularity and depth on the learning performance of neural networks Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:42.030441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:46:42.030441Z digest=sha256:071936a4968de33c15062adb51fdddd80af03ce40083b8d32bc6e11433a1b7af

Observation d7ecfdfa-0ad1-4ad1-8478-d6ca8caa0253 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:43.219491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:42.130893Z digest=sha256:ea9d31517ad086443cdf12fefd2a9765c3895e0cfccec508196859f396653761

Observation bae52566-fd45-496c-aa37-c61d29aad5bb · outbound

This paper cites Frankle and M.

Effects of relational graph modularity and depth on the learning performance of neural networks Frankle and M

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:43.064983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:42.249815Z digest=sha256:2621b90c27ee57344c8f9d0c77027a1169dc2e2b6cad504fbf9ae21cc36a5c8d

Observation 4278f6b4-fdd4-41e0-9fa1-1e0cf5aab1e7 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:42.962360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:42.338093Z digest=sha256:b3e1ccc3700fc0e8cdd774d9b87e8d5d299f02cfba996c7d76c5eaca74daeecc

Observation 38c6ee59-803f-4411-90cf-694a155058d5 · outbound

This paper cites Graph Structure of Neural Networks.

Effects of relational graph modularity and depth on the learning performance of neural networks Graph Structure of Neural Networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:46:42.801627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:42.419468Z digest=sha256:799f62337c33d5192e61371be1e69fba8530a87af2d15f5b3483fe0778fa8419

Observation ab129bf4-1d43-4dc3-b290-1f68903813c4 · outbound

This paper cites an unresolved cited work.

Effects of relational graph modularity and depth on the learning performance of neural networks Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:46:42.679379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:46:42.464001Z digest=sha256:7b953e2955cdbb94663903a3b9ef1e53ef13715c3d392f82d9ca0a7be1eff9d8

Pith citing papers

No inbound Pith citation observations are available.