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Paper Citation Record · LEDGER

Graph-Bert: Only Attention is Needed for Learning Graph Representations

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2001.05140.

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

pith.paper-citation-record.v1
2001.05140 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:56:48.131771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:48:12.325262Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c05e42c6-b9e5-4565-870d-20a2fe9a01cf · inbound

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer cites this paper.

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 91

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no resolver link, observed 2026-08-12T18:56:48.131771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:56:48.131771Z digest=sha256:b3ca536573b52a621cec9e94fb4a75d863c40a0ce12d0d79f32dabab2c2cec15

Observation c0c4c143-c588-4b8c-9ec1-ef3b9bf2de34 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 78

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no resolver link, observed 2026-08-12T18:53:48.242728Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T18:53:48.242728Z digest=sha256:22fe89c07135d1babd07f49e4aa0b4d4d904412d076150d50fc991c47f4c2f0a

Observation b75da4d0-3e8e-4c7a-b27a-bdff965500a9 · inbound

Even Sparser Graph Transformers cites this paper.

Even Sparser Graph Transformers Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 56

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no resolver link, observed 2026-08-12T13:22:32.431649Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:22:32.431649Z digest=sha256:dc23476a139d46d7597301cfd41d3ed6b0fe35043ca2233d75c4e4e40313b7c0

Observation 7969e504-e3e4-4c7d-b533-7a3ac9f64220 · inbound

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers cites this paper.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 10

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no resolver link, observed 2026-08-12T12:21:08.054950Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:21:08.054950Z digest=sha256:9cf8f73551fdc595c72054f34edfac06dcd23de3cc83e50083e58982ca5aaf72

Observation fce84388-4661-4953-a01a-3f043cdd70a0 · inbound

RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs cites this paper.

RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 65

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verified exact
arxiv_id, observed 2026-05-23T16:48:12.328753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T16:47:18.887025Z digest=sha256:1fd385887ad7502ed816c2ad03fc9657e2e74b634f9a35b1e47b072c7e3ffab2

Observation f99aaee5-d988-4ca6-b0c3-d7f76b1edea8 · inbound

RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs cites this paper.

RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 65

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no resolver link, observed 2026-08-12T10:14:39.422099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:14:39.422099Z digest=sha256:80ad5da9477f04ece48cfa1b486830a3525341d75137da779099352606b56915

Observation 683749f9-e8ae-4b54-9af6-e77c867e0100 · inbound

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs cites this paper.

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 79

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no resolver link, observed 2026-08-11T14:28:10.917333Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:28:10.917333Z digest=sha256:586dff7d7c701c8c191d3fec38cb1b125faf4215f99edc4a9450f8d9df6dd22e

Observation 7e301eab-f487-490a-b2ac-ccf2c002c57b · inbound

Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering cites this paper.

Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 43

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no resolver link, observed 2026-08-11T11:55:32.848128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:55:32.848128Z digest=sha256:bff4d82b1b7a84a91bd11790e0c35f06b36562b082960dae7ecefd6508290618

Observation 455f5ac5-7bda-4d74-9928-7d398ca29f16 · inbound

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck cites this paper.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 52

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no resolver link, observed 2026-08-11T11:22:40.859231Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.859231Z digest=sha256:0ba7ed6ab75a0164bc9451dd64fc9f088f0e63556e889c1d7194546c75b0f2a2

Observation bd43b809-e680-43f7-a1b7-66addfe744c0 · inbound

Position-aware Graph Transformer for Recommendation cites this paper.

Position-aware Graph Transformer for Recommendation Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 53

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no resolver link, observed 2026-08-11T04:36:22.717850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:36:22.717850Z digest=sha256:1c46199345770120b9f6c53f27bb111f9daec2990253a8db88158c113a1038c9

Observation f41f0d52-a32f-4bf1-9f83-05f88eaee4a1 · inbound

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 107

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no resolver link, observed 2026-08-10T22:38:29.093684Z

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source=pdf_text observed=2026-08-10T22:38:29.093684Z digest=sha256:d540409d4b50a56b44b8d5f53643258988acfa20fac0c302855ae21b715861d8

Observation 7775e658-4060-4989-beda-b3ff03389d41 · inbound

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks cites this paper.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 68

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:16:19.280045Z digest=sha256:14b8bf2b826ab963c3537d43679265026fa1cdbe0879d0ee5f9ed8bbc5939553

Observation 555c27db-eef2-4ca6-8065-d26c5152814c · inbound

FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning cites this paper.

FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 39

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no resolver link, observed 2026-08-09T16:22:47.632071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:22:47.632071Z digest=sha256:d0f7b3db67d05f16d2740488fa83144863a72c3a28c498b403b0b0d505a1e4d1

Observation 5d97906e-d4f4-46a8-8d79-5ffef7d29fc1 · inbound

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries cites this paper.

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 114

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no resolver link, observed 2026-08-07T13:23:14.774327Z

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source=pdf_text observed=2026-08-07T13:23:14.774327Z digest=sha256:65dc395b845a39e5be3e73af53f30066a23c86b2db0c369dd1ac7c79516e8a72

Observation 70035f81-0b75-4d9d-8cc1-7d278de2583a · inbound

Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning cites this paper.

Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 32

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no resolver link, observed 2026-08-06T18:48:01.074300Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:48:01.074300Z digest=sha256:6fd97edd5dec8c6468cd24a60b1620e68bd2715062398d7e6c87c78315749239

Observation c8e68035-339d-4461-9f0e-186ba3abd2b6 · inbound

Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction cites this paper.

Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 63

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no resolver link, observed 2026-08-06T17:49:12.724202Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:49:12.724202Z digest=sha256:fe067f87892deaefe248d65232f54c6747c84860d2a93cadd28832fe3ac8a508

Observation c52f201a-e919-4fdd-ad33-9821ac9f4118 · inbound

GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation cites this paper.

GTHNA: Local-global Graph Transformer with Memory Reconstruction for Holistic Node Anomaly Evaluation Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 38

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no resolver link, observed 2026-08-04T17:33:56.107808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:33:56.107808Z digest=sha256:266490a874db1e20d6075b5e5cfa2b187b0618b2d29b41c96f1c3b5e14ba7a38

Observation d15bf4e0-beba-46cc-a5a1-820e0481e710 · inbound

Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback cites this paper.

Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 12

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no resolver link, observed 2026-07-13T18:29:24.972060Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:29:24.972060Z digest=sha256:b579a442fb2f0847e12d6df23c427205bbe5baf93580c829fab7409258d704b1

Observation 5e12277f-d205-4e1d-b842-98433b209536 · inbound

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs cites this paper.

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 118

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arxiv_id, observed 2026-05-10T05:51:09.909729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T05:49:52.864722Z digest=sha256:25b1507d3bdca8bc8ef32918520fd0d1ee9806619724d2147321cfde19dd24b5

Observation d7c7e9c0-bd7a-48c4-b52b-cf82724f2946 · inbound

Transferable Human Mobility Network Reconstruction with neuroGravity cites this paper.

Transferable Human Mobility Network Reconstruction with neuroGravity Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 53

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verified exact
arxiv_id, observed 2026-05-11T21:16:18.768831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T06:11:16.178619Z digest=sha256:5a5914d7be05d407d538003788ffe3107d8668d471627b9e5eae00eeead83c26

Observation 64795503-6b7e-4ebb-beaa-b74e5436729a · inbound

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning cites this paper.

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 43

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arxiv_id, observed 2026-05-11T01:45:52.278013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T01:28:40.639431Z digest=sha256:2bd097dbe2b7ecdd7462c77d27f2f25220e8e7792a5df27cff2ca3310681f39d

Observation 31ad70cb-6452-4d00-a2b9-eafbb4eeb7e1 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 24

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arxiv_id, observed 2026-05-12T08:26:24.895250Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T01:07:43.805485Z digest=sha256:1d4968582660c5efcd057303486a8d419a239a1d5f5d4ebffb8e62382f66714a

Observation 421f93dc-824d-4da1-9f2c-c9cb7e13606f · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 59

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arxiv_id, observed 2026-05-13T04:52:17.428406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-13T04:45:34.957298Z digest=sha256:9feafa63ca7b0187b16d43a186521fd5b2002be8de15a56fc0b5ca922f217b47

Observation 0f9cb449-42cb-4b2c-bbc3-7f12aca73283 · inbound

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability cites this paper.

ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 118

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arxiv_id, observed 2026-05-20T07:13:06.577804Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T07:11:13.814887Z digest=sha256:24aa8774f13db8d4e93c4dad60a75d34e672401765e68c23f5f8067898be71d7

Observation 96cff39a-6fb8-405b-a037-9295b5a147ac · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 21

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arxiv_id, observed 2026-05-22T07:04:41.442990Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-22T07:03:52.438466Z digest=sha256:96b7b37a79a092edc97832e5420617e6a3c24602374e4f30625ec459c25c802a