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Paper Citation Record · LEDGER

Tackling Over-Smoothing for General Graph Convolutional Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2008.09864.

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

pith.paper-citation-record.v1
2008.09864 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:03:12.173842Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:49:41.988086Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c46714d-a25f-47fd-8113-7f49bcafc45c · inbound

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification cites this paper.

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:12.173842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:12.173842Z digest=sha256:c2165918c1a0dc7ec31af789deb54125c132e03e883ce6b6e0e9c6357d443a35

Observation a20a5bcc-b39b-4546-903b-f9c060cefbe4 · inbound

Computing and Learning on Combinatorial Data cites this paper.

Computing and Learning on Combinatorial Data Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 244

Resolution
unresolved
no resolver link, observed 2026-08-08T20:29:46.991091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:29:46.991091Z digest=sha256:11b2e91507c00ea05fb8b89f700ba9da8e97d20b04b0f812bed2f95440eefd43

Observation 053ac16a-3160-45d2-bf26-5182541e167e · inbound

Geometric Machine Learning on EEG Signals cites this paper.

Geometric Machine Learning on EEG Signals Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T19:48:59.164658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:48:59.164658Z digest=sha256:0dc401b5b95a8d30d71bc2d0255aa3c6d8fc497f02c2d772e0a2d221340f8fca

Observation 87bfce35-eb18-4e44-91b7-b1b7dba53bf0 · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 178

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.990103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:e17a93e47e93d0e1dbb4633c8793f078776efe36ef8df5673573c21e76bb4bfb

Observation 68d1eea4-f416-475e-8866-f95ccf3f527b · inbound

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks cites this paper.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T22:29:30.378100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:29:30.378100Z digest=sha256:9c7035bdab3b99bbeff945a476f39906ea8e06d6f7014e8980bc4c60dafbec3a

Observation fa6174fc-81e2-475d-9756-8b682838b2a7 · inbound

Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding cites this paper.

Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding Tackling Over-Smoothing for General Graph Convolutional Networks

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-01T00:45:52.647181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:45:52.647181Z digest=sha256:07a70e6f23a71eb8f6b973124dcda008f4cddb0df2da4c6113335992139a8028