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Paper Citation Record · LEDGER

Benchmarking Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2003.00982.

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

pith.paper-citation-record.v1
2003.00982 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:04.612182Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

233
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b78e0c5e-d034-401b-8588-9d532333d95a · inbound

How Attentive are Graph Attention Networks? cites this paper.

How Attentive are Graph Attention Networks? Benchmarking Graph Neural Networks

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T02:33:38.769399Z

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=arxiv_source observed=2026-05-17T02:33:38.686468Z digest=sha256:87bc3c3d57485d296adfabc6c5f85afedef09ad7bc3b38cd6a1a84675c38b12a

Observation c00f15ad-d871-4fea-bdfc-0f00090dc0ef · inbound

Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs cites this paper.

Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs Benchmarking Graph Neural Networks

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:22:42.979640Z

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=2026-05-23T07:22:21.682373Z digest=sha256:c1bf48be018dd39d0d814dbcbccf699d06a41ddf02371a2dd182a295a9793477

Observation f3a445ae-71d9-4eeb-87df-a6d72ce9f2db · inbound

Primal-Dual Neural Algorithmic Reasoning cites this paper.

Primal-Dual Neural Algorithmic Reasoning Benchmarking Graph Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:04.612182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:04.612182Z digest=sha256:8950af322d6d8cfc4c03fed2e09f94533d9048dc7b8f62692e3c73106e492efa

Observation ddaaea9e-c43c-4a94-aac7-17692c2c0de1 · inbound

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals cites this paper.

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals Benchmarking Graph Neural Networks

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.154817Z

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=2026-05-19T10:49:39.186387Z digest=sha256:e615280563b10c4e9347248d35ef477a497356d85bd0a3e540c095f2f518a16b

Observation 9fbf207d-a692-4eee-904f-40308e28e83b · inbound

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals cites this paper.

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals Benchmarking Graph Neural Networks

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:54:28.521650Z

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=2026-05-21T23:52:40.011346Z digest=sha256:1752056e8080c462361f11b558c8c2b9b898eb3bdaa52d8612a22e598799876a

Observation 1dcb9df6-1ee0-416c-a7b3-4014997c411e · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Benchmarking Graph Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:48.165338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:48.165338Z digest=sha256:f34da1cefa90084b6a9a20ff4704e14118aec46160e59c72d7367d359721cc6b

Observation cfa93ea0-93d5-48e0-96e7-a127cb3b5004 · inbound

sHGCN: Simplified hyperbolic graph convolutional neural networks cites this paper.

sHGCN: Simplified hyperbolic graph convolutional neural networks Benchmarking Graph Neural Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:44.128907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:23:44.128907Z digest=sha256:d83e3e7ec26b0516e2111c1257ab5dc5fb12e024297e0c07a5ef9170b68da913

Observation 4538745d-77c0-48ba-aa57-2972ecc5c03c · inbound

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction cites this paper.

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction Benchmarking Graph Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:27.863764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:27.863764Z digest=sha256:eaf68fae963db484f23b90c7cd5b932ed2cef649f51478642a0eb1c09b8b628f

Observation 9a2fae09-773c-406a-be14-9ed08029e20b · inbound

Computationally-efficient Graph Modeling with Refined Graph Random Features cites this paper.

Computationally-efficient Graph Modeling with Refined Graph Random Features Benchmarking Graph Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T11:01:20.439905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:01:20.439905Z digest=sha256:4c62e882730e3771e110b392e1b1eef9502e8618d3c15ecc0d518dfc8f5eacda

Observation b6fedd48-9507-4545-bf52-978fb781abcd · inbound

Cluster Attention for Graph Machine Learning cites this paper.

Cluster Attention for Graph Machine Learning Benchmarking Graph Neural Networks

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:51:00.364541Z

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=2026-05-10T17:56:17.261423Z digest=sha256:ec2c0c7e6f5055e5a114b72de751db4f9e12fb7ea9779e2db646f6e00c7f1d3d

Observation f29858d8-0ddb-4936-8b68-198e925f0d89 · inbound

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII cites this paper.

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII Benchmarking Graph Neural Networks

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:41:01.284099Z

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=2026-05-10T17:01:41.339487Z digest=sha256:ac5c2ae3c292d43bc2737a869adfbddbef341d39dbc6e06be77d0decc9854154

Observation e7658510-7ab0-4dd7-9b9f-b5ddf754e3be · inbound

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations cites this paper.

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations Benchmarking Graph Neural Networks

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:20:22.932686Z

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=2026-05-10T12:15:43.914184Z digest=sha256:1384aa42142f9e87513e39505dbee79caee23d50449185e5df557687284b2c05

Observation d367e920-ad24-47c7-8fad-ff15a63b8886 · inbound

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model cites this paper.

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model Benchmarking Graph Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.959676Z

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=2026-05-08T11:46:42.010486Z digest=sha256:f88888d64db378480c7fc12c6f142622b6601fbfb5cfce39ce592363d0bfd2f0

Observation 1a14ab5d-80ac-4740-8d1c-f157a68eec81 · inbound

Quantum Injection Pathways for Implicit Graph Neural Networks cites this paper.

Quantum Injection Pathways for Implicit Graph Neural Networks Benchmarking Graph Neural Networks

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:36:17.288269Z

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=2026-05-12T02:31:34.776537Z digest=sha256:8ea8aac1b8348e93cef71977393e789451bad845a91274a6391be180d1bd9aba

Observation 9b5b08cc-079d-48c7-b0fd-3e435c6ad65d · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Benchmarking Graph Neural Networks

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.685579Z

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=arxiv_source observed=2026-05-25T05:04:16.957305Z digest=sha256:f8a10b95d6adbe1782d4e7f99994290976c64f8b29aa47d62470d5d983e5f7b7

Observation 798e6b8d-56d4-41ce-9fb4-23e47f990dd1 · inbound

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? cites this paper.

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? Benchmarking Graph Neural Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:14.880370Z

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=2026-06-29T08:32:47.166531Z digest=sha256:7191bbd703ee0465019abca642b740e43a222001126a14de2da706941de5c3c7

Observation ea953a63-b3e0-422b-bbaf-0982c6c97127 · inbound

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

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Benchmarking Graph Neural Networks

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.996064Z

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=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:3383f941d9a31772fa8caf322fc18bd17c1d8862bd0a2b35d9a1dfbcffde05c1

Observation 9857901f-16ad-45d1-bb8e-406e0ce6d793 · inbound

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction cites this paper.

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction Benchmarking Graph Neural Networks

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-03T13:30:08.393805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:30:08.393805Z digest=sha256:59ec815df14ff9e0f519de897b185707390e4f39490dc731ec69b284c9c23d34