Pith. sign in

Paper Citation Record · LEDGER

Does Graph Compression Preserve Signal Propagation?

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.23338.

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

pith.paper-citation-record.v1
2607.23338 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:45:39.143482Z

measured 32 of 32 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

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07353d45-a6b5-45a8-a1f2-75c8533c3c18 · outbound

This paper cites A unifying framework for spectrum-preserving graph sparsification and coarsening,.

Does Graph Compression Preserve Signal Propagation? A unifying framework for spectrum-preserving graph sparsification and coarsening,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.118120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.118120Z digest=sha256:1ac55891ac9a42e73c125a8803899a3d74061478a08b45e5960b34db37c2efdd

Observation 492b7f3b-ebd4-454e-8e18-f1a3d5330230 · outbound

This paper cites A comprehensive study on large-scale graph training: Bench- marking and rethinking,.

Does Graph Compression Preserve Signal Propagation? A comprehensive study on large-scale graph training: Bench- marking and rethinking,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.236039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.236039Z digest=sha256:813cad68c38e933545a0bc14fe80c6f52fec07739e7200e2cb6180c17a2b833f

Observation aeb9cf28-1593-48eb-9c20-4d935084a13f · outbound

This paper cites DSpar: An embarrassingly simple strategy for efficient GNN training and inference via degree-based sparsification,.

Does Graph Compression Preserve Signal Propagation? DSpar: An embarrassingly simple strategy for efficient GNN training and inference via degree-based sparsification,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.375638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.375638Z digest=sha256:17ac43f1d543542663eca66c9788fb9890cdf442d90365e710350da79fa9803e

Observation e304ff3c-514d-4063-97df-4bd2c8ce6c52 · outbound

This paper cites Learning to reduce the scale of large graphs: A comprehensive survey,.

Does Graph Compression Preserve Signal Propagation? Learning to reduce the scale of large graphs: A comprehensive survey,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.530377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.530377Z digest=sha256:fcdbc4ead214f0d19d79d39fa6d59372465643c6027c70fc91c263530c6730b4

Observation 51d0ae7d-6526-4dbf-b95b-2a86c44b7971 · outbound

This paper cites Graph reduction with spectral and cut guarantees,.

Does Graph Compression Preserve Signal Propagation? Graph reduction with spectral and cut guarantees,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.674052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.674052Z digest=sha256:57ee79025505f502ee0f3fc55ed6819da1734ee3e675bc3339243333ff62d5f3

Observation 0e30a793-7f85-4656-8dda-8d828b5057f2 · outbound

This paper cites Spectrally approximating large graphs with smaller graphs,.

Does Graph Compression Preserve Signal Propagation? Spectrally approximating large graphs with smaller graphs,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.816510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.816510Z digest=sha256:2ce0c7f75a6a304b4b5d9390843c7a337e4cc22404ef6ce3da79c11cd6b7ef1c

Observation d1d6cdf2-ee38-4b5f-ae13-2d8ebf36c742 · outbound

This paper cites Graph sparsification via mixture of graphs,.

Does Graph Compression Preserve Signal Propagation? Graph sparsification via mixture of graphs,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:35.946794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:35.946794Z digest=sha256:dd458e138f7529cddc9ed6e5bf5cae2f38ee02d98bed26da269cb3d2f8f676b0

Observation e812e37d-f976-4ccc-a1ad-e2c60a197543 · outbound

This paper cites Structure-preserving sparsification of social networks,.

Does Graph Compression Preserve Signal Propagation? Structure-preserving sparsification of social networks,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.056000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.056000Z digest=sha256:0877d8a1252015b4c5eac646cefd2e70351e480cf446f1e3d16ac925d7fe6953

Observation 8d74a1e7-4be4-46aa-b6b3-70ee86dd8010 · outbound

This paper cites Does graph distillation see like vision dataset counterpart?.

Does Graph Compression Preserve Signal Propagation? Does graph distillation see like vision dataset counterpart?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.185451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.185451Z digest=sha256:d878a53769258523ffe1fd7e8943b1eccd660c4be7cdbdf1c97d8470fdbc7c06

Observation d1779031-90d5-494d-9dec-7802c41a31c8 · outbound

This paper cites GC4NC: A benchmark framework for graph condensation on node classification with new insights,.

Does Graph Compression Preserve Signal Propagation? GC4NC: A benchmark framework for graph condensation on node classification with new insights,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.287972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.287972Z digest=sha256:ec0bbd3ff9a52a5e4c85f7602c289bfc876b934eb9afce5b6c8c07fb2e83a7fa

Observation 8183dc1e-c937-4692-80a6-54826043aa48 · outbound

This paper cites UGC: Universal graph coarsening,.

Does Graph Compression Preserve Signal Propagation? UGC: Universal graph coarsening,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.396459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.396459Z digest=sha256:c8342be817b34d3ebb528e85f8e437f1d6b34e986f7e897e3c9badd6acf40659

Observation 6f49cceb-280d-4d9e-8ada-e9c6dd631898 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Does Graph Compression Preserve Signal Propagation? Semi-supervised classification with graph convolutional networks,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.515608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.515608Z digest=sha256:4c6f9631b903590cab5f5e3ea6a8156f189fd626a1b838fe2bf19b04e3da410a

Observation 8e7c53f7-dc95-4e79-a247-dc6d81d62721 · outbound

This paper cites Graph coarsening with message-passing guar- antees,.

Does Graph Compression Preserve Signal Propagation? Graph coarsening with message-passing guar- antees,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.621985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.621985Z digest=sha256:103abe6afbfca9c64179226fcee3422169a2443303168c011741b10d0eb2b2f7

Observation 399fe2cd-87f9-485f-80a0-201f1fbecdd5 · outbound

This paper cites A note on over-smoothing for graph neural networks,.

Does Graph Compression Preserve Signal Propagation? A note on over-smoothing for graph neural networks,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.770939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.770939Z digest=sha256:7432b31492d6afe4b10b1fcd6051f7770a51ab0a125d048ee4b0c97665eaad24

Observation 245ac25e-91c6-450b-842a-b2069fd67eec · outbound

This paper cites Graph neural networks exponentially lose expressive power for node classification,.

Does Graph Compression Preserve Signal Propagation? Graph neural networks exponentially lose expressive power for node classification,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:36.923282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:36.923282Z digest=sha256:47761910c0d0bda56354f014ff92d025be42d5b6c461657f589b64ec1c419648

Observation 9c09d25a-00e2-4260-b414-a9f716bf9824 · outbound

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

Does Graph Compression Preserve Signal Propagation? A Survey on Oversmoothing in Graph Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.035978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.035978Z digest=sha256:3eff6cd6030c2d2d319fc6cafbb51d87072b5de80cdbb5ff265c070dfaf3d029

Observation 3c4e6594-4041-4523-9c52-947e197de923 · outbound

This paper cites A comprehensive survey on graph reduction: Sparsification, coarsening, and condensation,.

Does Graph Compression Preserve Signal Propagation? A comprehensive survey on graph reduction: Sparsification, coarsening, and condensation,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.138983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.138983Z digest=sha256:188d8d779118a4350a0685709a3189f5afb73bdc1de25bb496476038d8accf33

Observation 21075a74-e61e-4bc8-acee-b39d12b12eda · outbound

This paper cites A fast and high quality multilevel scheme for partitioning irregular graphs,.

Does Graph Compression Preserve Signal Propagation? A fast and high quality multilevel scheme for partitioning irregular graphs,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.257180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.257180Z digest=sha256:6464bf6b8b26c7b970b74861cac9edba53c7170c27ed1a2e99a59a6019af1d80

Observation ddde6b82-67c3-4822-8aa4-5aeccc3c3a9a · outbound

This paper cites Rethinking efficient graph coarsening via a non-selfishness principle,.

Does Graph Compression Preserve Signal Propagation? Rethinking efficient graph coarsening via a non-selfishness principle,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.419024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.419024Z digest=sha256:91068c3f959f6e8e263912f341f2ff4ca7458682e00f822d2f587bdf92362ef6

Observation dcda76df-8708-4cd6-9827-233af17a0d01 · outbound

This paper cites A general framework for graph sparsification,.

Does Graph Compression Preserve Signal Propagation? A general framework for graph sparsification,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.555601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.555601Z digest=sha256:712cc1300364a0086aabe97ca515810f0b1598026afd017d9ba5383c8a912834

Observation 841d7bd3-4c0e-4ea7-8221-478f4f1318c2 · outbound

This paper cites Spectral sparsification of graphs,.

Does Graph Compression Preserve Signal Propagation? Spectral sparsification of graphs,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.693331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.693331Z digest=sha256:473d106d6b9eca9d82a588cee31a8299acd2daf2b213b937c18f854869dcdf5c

Observation a5c3798a-86ee-425e-90db-2ebf3871ef0e · outbound

This paper cites Local graph sparsification for scalable clustering,.

Does Graph Compression Preserve Signal Propagation? Local graph sparsification for scalable clustering,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.829823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.829823Z digest=sha256:b537dca07702b698f33afe2a7c56b71c6ad6e33832c319c7d64edc2883732b65

Observation 8a19044a-1baf-4364-a6ab-aa672d613d1d · outbound

This paper cites TEDDY: Trimming edges with degree- based discrimination strategy,.

Does Graph Compression Preserve Signal Propagation? TEDDY: Trimming edges with degree- based discrimination strategy,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:37.970042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:37.970042Z digest=sha256:1e88a120e554ad961281f588172f776a9f3fc252648ad5e4bbc21ac8885734db

Observation d4a41ff5-f92e-4fd5-af1d-19e639ae1630 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning,.

Does Graph Compression Preserve Signal Propagation? Deeper insights into graph convolutional networks for semi-supervised learning,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.074515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.074515Z digest=sha256:5b2ea580dcf5e903c559cdcbb141d4728dc301b42f83cd7cb5421988ce775f66

Observation 58ed7936-d3fe-43e9-82ba-d021c1b13c64 · outbound

This paper cites Demystifying over- smoothing in attention-based graph neural networks,.

Does Graph Compression Preserve Signal Propagation? Demystifying over- smoothing in attention-based graph neural networks,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.249768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.249768Z digest=sha256:c6d4a8f01bcf71a6c9faa7469988b8a47ecb678f7da6defc87dedca744d4c747

Observation b949ec15-75e0-43e7-bbd3-35593322a698 · outbound

This paper cites Are we measuring oversmoothing in graph neural networks correctly?.

Does Graph Compression Preserve Signal Propagation? Are we measuring oversmoothing in graph neural networks correctly?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.363617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.363617Z digest=sha256:649f73a0d28bbabc1d0b3ae46dd85385657f31acdf64abc31ff3f0959d802cc9

Observation 7bbb7bf2-c07f-4295-9ad2-adfa6db4a767 · outbound

This paper cites Dirichlet energy constrained learning for deep graph neural networks,.

Does Graph Compression Preserve Signal Propagation? Dirichlet energy constrained learning for deep graph neural networks,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.496992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.496992Z digest=sha256:f47d65e660537a4f6d2bb624e359197b4b2b9cd2765d801c39467c70b38375fb

Observation ab8f1764-4cb8-4efb-bfae-4cda09a3988d · outbound

This paper cites TINED: GNNs-to-MLPs by teacher injection and dirichlet energy distillation,.

Does Graph Compression Preserve Signal Propagation? TINED: GNNs-to-MLPs by teacher injection and dirichlet energy distillation,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.609281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.609281Z digest=sha256:c6b6ebe7eacf52c31d2f052d5261c3bd900a66498b9890eb2c56ee084db220d8

Observation eb8467d1-5c53-4c6d-8097-7a9e4ae06263 · outbound

This paper cites Sampling from large matrices: An approach through geometric functional analysis,.

Does Graph Compression Preserve Signal Propagation? Sampling from large matrices: An approach through geometric functional analysis,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.724760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.724760Z digest=sha256:3fe34861ef4137031a7e2a09eee76c9c8016e5925aa5c78525a8c6a385a1bb2d

Observation bad56473-d802-4ae8-a1da-e9756e699d47 · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

Does Graph Compression Preserve Signal Propagation? Revisiting semi-supervised learning with graph embeddings,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.826906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.826906Z digest=sha256:35d79684969f1cf22b757f6aacd8eafb828de734eb9db6704e9381a8ca444b6d

Observation 8531a9ab-e5c8-463c-90ce-3d72e21d8c87 · outbound

This paper cites Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking,.

Does Graph Compression Preserve Signal Propagation? Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:38.979242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:38.979242Z digest=sha256:34e88b2bd13842886c7cb86305f1b8a2fc7e8c45f870a7f11abc040ffb7f74d1

Observation a23e7841-7125-45ac-a937-20eaeff49dd9 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Does Graph Compression Preserve Signal Propagation? Pitfalls of Graph Neural Network Evaluation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-31T23:45:39.143482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:45:39.143482Z digest=sha256:5070cc07e9c5c5fea3035ac20115706d9b49ba9f60e15ba5a16ee49b2f584b4a

Pith citing papers

No inbound Pith citation observations are available.