Paper Citation Record · LEDGER

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.02565.

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

pith.paper-citation-record.v1
2308.02565 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:53.143927Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.381576Z

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 71448dd3-e871-4f00-8c2b-18b6e41df88e · inbound

Toward General and Robust LLM-enhanced Text-attributed Graph Learning cites this paper.

Toward General and Robust LLM-enhanced Text-attributed Graph Learning SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:27:08.277799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a12c2620-6c17-4bba-a01b-18da132bdb4c · inbound

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment cites this paper.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:44:53.143927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fb83ea-75ab-4695-ad96-d49a70b2f17c · inbound

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training cites this paper.

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T08:24:26.494672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a944abbe-b5f2-4926-874e-d6cf9e1ed01b · inbound

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs cites this paper.

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:07:39.802103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 972f03d6-0a23-4bed-85ea-8ddf1ca4dcbc · inbound

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning cites this paper.

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:17.017151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e881cd7-65bb-4abe-ad5a-e70b24ae746b · 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 SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:09.938592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae0c5cf5-fb1f-4fc5-aead-63fc75173048 · inbound

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding cites this paper.

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:31.307116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7af2bf2e-3f1e-4ecd-9b3c-3751116c39f3 · inbound

Hypergraph as Language cites this paper.

Hypergraph as Language SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T07:11:12.603213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a21c4b32-425b-446e-add1-27a0a9c44142 · inbound

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models cites this paper.

When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:56:27.469320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ca7f907-64f5-4380-9873-4933536c9399 · inbound

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs cites this paper.

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:08:03.242015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43b52b40-b2e9-46f2-b84a-c1456b911f43 · inbound

TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel cites this paper.

TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:44.383222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d88a12b-0f61-4b52-a677-19319978b9fc · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 173

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.628323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.