Pith. sign in

Paper Citation Record · LEDGER

Adaptive Universal Generalized PageRank Graph Neural Network

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2006.07988.

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

pith.paper-citation-record.v1
2006.07988 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:47.615563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.135309Z

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 2d1f61ad-4456-4465-93d8-d70f112cb40f · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Adaptive Universal Generalized PageRank Graph Neural Network

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.273744Z

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=2026-05-23T04:41:50.959730Z digest=sha256:039c45861e02fe7841bf978b346a884e7774684107e6a0017540513aaae6d684

Observation a8777c70-061c-42a8-8b4f-6e8abd1d50b5 · inbound

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder cites this paper.

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder Adaptive Universal Generalized PageRank Graph Neural Network

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:47.615563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:47.615563Z digest=sha256:80154ac91b4a82f40c51fd57e4932f6462b0b6256478cef9d7f2865da0b1a1fa

Observation 7c94806d-ddac-400e-8d69-598c2019c4e9 · inbound

Disentangling Homophily and Heterophily in Multimodal Graph Clustering cites this paper.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Adaptive Universal Generalized PageRank Graph Neural Network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:33.676091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:33.676091Z digest=sha256:2d0c89ea52d526b81215378e6c41c0964a3943c1b8bd3752ecfa5ed289de9589

Observation c0e6e0ca-c38f-4ce8-9271-597337f5784a · inbound

Node-as-Agent: Graph Agentic Network cites this paper.

Node-as-Agent: Graph Agentic Network Adaptive Universal Generalized PageRank Graph Neural Network

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:22.148189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:22.148189Z digest=sha256:9857f57eda155a2f333430d8d05d2a8a2c4168f37ebadebc386d395328b98a0b

Observation f8d9307d-4fbb-4ac0-a4dd-20bc686b3987 · inbound

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs cites this paper.

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs Adaptive Universal Generalized PageRank Graph Neural Network

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:19:10.015533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:19:10.015533Z digest=sha256:65a4bbd5107767c1f39669a140d9747504e74b1f61efcb058cf1b5fd4552e1ab

Observation c9532d7f-2b8e-4183-af53-5ceea8fe8c94 · inbound

ADMP-GNN: Adaptive Depth Message Passing GNN cites this paper.

ADMP-GNN: Adaptive Depth Message Passing GNN Adaptive Universal Generalized PageRank Graph Neural Network

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T12:54:37.399149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:54:37.399149Z digest=sha256:effe9af8b4a55f63ec09593ec8b7a3223a2365c2c117363d6af14dff00f99d35

Observation ae3c043b-00bb-49b7-a0d3-c946d3d0114e · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Adaptive Universal Generalized PageRank Graph Neural Network

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:50:29.016399Z

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=2026-05-25T07:49:39.057087Z digest=sha256:4e24d366c1e25dd9f1d00f5b271ff5d5fcdf579feee9dc97809a63f093dd1a98

Observation 2ac2562d-e366-4432-82b8-212c7ccc8087 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Adaptive Universal Generalized PageRank Graph Neural Network

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T10:00:47.510092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:00:47.510092Z digest=sha256:4a49348de5277508fb4b4fb16aa716071f84dfb67e3b086ed7f7918e608ace77

Observation 6d2d8520-5de2-4b95-bf7b-14e250b0dfc6 · inbound

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation cites this paper.

How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation Adaptive Universal Generalized PageRank Graph Neural Network

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:28.593943Z

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=2026-05-17T23:23:07.672908Z digest=sha256:ac6c1c406b6041b47450bd658f7041a047d6a01af31a80e6836f130e8868e0bb

Observation f60a4df4-a28d-4e56-9459-14f9bd8f2747 · inbound

Learning from Historical Activations in Graph Neural Networks cites this paper.

Learning from Historical Activations in Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:15:25.414242Z

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=2026-05-21T17:14:52.859473Z digest=sha256:fb267d77e9187807e0b8c00047b44443028b71c5709cd01cf6d0dbf635ef7592

Observation 9e695c38-fbee-4d24-8f0b-7021ebb29bcc · inbound

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning cites this paper.

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning Adaptive Universal Generalized PageRank Graph Neural Network

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:51:02.715741Z

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=2026-05-10T02:54:22.394142Z digest=sha256:e88ec9d2947204b3d4cbbfc852cc32402428a3cad66231661ec3e3243b9e3031

Observation fae7d696-3957-41bd-a04a-8cb210a9c9ed · inbound

Informative Graph Structure Learning cites this paper.

Informative Graph Structure Learning Adaptive Universal Generalized PageRank Graph Neural Network

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:12:47.208475Z

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=2026-05-19T21:08:51.920408Z digest=sha256:741515f2e16bb8eb9a78642f317e27325664dd55c40503cf7fce5b7dde9eade0

Observation e4c82bf4-483b-4150-8c4f-645e454b45c9 · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification Adaptive Universal Generalized PageRank Graph Neural Network

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:34:05.393239Z

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=2026-05-21T08:32:32.410473Z digest=sha256:34bc109f280ee63403d345681f4bf8d20cb1b00384fc525f0b1858472c03b357

Observation 7b2ca5f3-8573-4a32-afe7-4250f16c8161 · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:13:58.212983Z

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=2026-05-21T05:12:39.203165Z digest=sha256:34d7625bed61a33dd30b83c8994a8f223774dab533378af494381da3593ddce5

Observation 4e45d848-2557-4f78-9521-6e00d63c117e · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:56.822590Z

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=2026-06-30T17:11:15.801586Z digest=sha256:047082561517074091f187fdd3b31fdfae35fee06b7628545cdff956feb08ff5

Observation f9820178-be05-422a-9f79-121bbc491687 · inbound

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets cites this paper.

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets Adaptive Universal Generalized PageRank Graph Neural Network

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:17:29.136960Z

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=2026-06-27T17:21:28.096446Z digest=sha256:0ccc682ce47ef3586fda23cc4a3a522f903a4a49412a2fb7ee147e55aef97eef

Observation 09cb028a-eef0-46af-82a9-91b30bac5fb1 · inbound

Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection cites this paper.

Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection Adaptive Universal Generalized PageRank Graph Neural Network

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:52.250338Z

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=2026-06-29T04:58:01.688785Z digest=sha256:c47d8a281bc0fc8b58ab3a46ed72b302a0c34d9c1d57ece62a0d590a6cbb13aa

Observation 029ccaf4-ad20-4280-b506-1410bc75eb5d · inbound

Multi-Label Node Classification with Label Influence Propagation cites this paper.

Multi-Label Node Classification with Label Influence Propagation Adaptive Universal Generalized PageRank Graph Neural Network

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:57:06.507655Z

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=2026-07-02T15:50:20.012826Z digest=sha256:194a925550cd3d42b98ba8e2ed1c638496bc3536df0983ac61653dd15a925bea

Observation 73aea58d-40b6-48ca-8c88-3e30590dfee2 · inbound

NodeImport: Imbalanced Node Classification with Node Importance Assessment cites this paper.

NodeImport: Imbalanced Node Classification with Node Importance Assessment Adaptive Universal Generalized PageRank Graph Neural Network

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T03:40:57.779442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:40:57.779442Z digest=sha256:42b31e35229c26a86d50f4af60e840554296c49e0c5cb620b72adae15140f589

Observation d8c6afdf-ed9b-4855-831e-bfdd0c8f58f9 · inbound

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks cites this paper.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.513534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.513534Z digest=sha256:b5916d37f6927ec4a265d2b2b14122fc178a9c66ac0684fa3b99dec056b182b7

Observation f28259fc-7e44-459e-942f-ea65c1d86c7e · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adaptive Universal Generalized PageRank Graph Neural Network

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:46.819692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:46.819692Z digest=sha256:98edd4255b099d5d7454911ab57af44a0e6048dda2a701055d397b7013d69b03