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Paper Citation Record · LEDGER

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.14683.

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

pith.paper-citation-record.v1
2406.14683 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:55:54.697904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:21.243055Z

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 1750b650-e19e-4892-96df-3a2eb559f631 · inbound

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:54.697904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:54.697904Z digest=sha256:176d8e2c50628c7340b15c88032d4260f00f95396b0fa3fa73d046b77781faa4

Observation c6e0e9ff-1522-40b6-b105-e23fbe0012d8 · inbound

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context cites this paper.

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T23:31:54.439896Z

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=2026-05-18T23:30:11.590032Z digest=sha256:8517cb020ed4f71f501a7095185ae1eca21086668dc92d618dcf070a66e69b57

Observation 7e118424-0813-4c3e-9ff4-f18d2d1f7b42 · inbound

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:24:21.384495Z

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=2026-05-21T20:24:02.748854Z digest=sha256:d9426b489266818538b3f843147c916f4b73ec2e8d351cd32667147535fe0e1e

Observation effb1f1b-ba34-4ba1-acec-4bce5c1895eb · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T23:37:55.267414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:37:55.267414Z digest=sha256:5da34f00370861a9a5609a567c6d96d9948d709724e424ba2e824f9a7b904d7f

Observation 75ad69d0-77ed-4082-8608-4a13d5ae1915 · 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 TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T00:07:39.878803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:07:39.878803Z digest=sha256:e550fd67bcd9308cac0fecd1f2303456336276aac4bc07ef9a19d3f2237d932e

Observation 3583e508-6d15-416c-a8d3-ef5e7332d4a4 · inbound

Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle cites this paper.

Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:52.036169Z

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=2026-05-14T19:31:41.045648Z digest=sha256:bc52b355beb6a626c2cd90ae63126800dabb230b3fcba750c3b7c09f09647a53

Observation bd7787eb-d7e6-4cd7-b01c-18fb4d8591b2 · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:53:17.636480Z

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=2026-05-20T12:49:18.671971Z digest=sha256:ab63fb45cb456ad22e97e9224c633df2f476c6b8b9f5ce8e219ab99301446aab

Observation 87779dad-e61e-49dc-91b6-7bf6c37530b4 · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:59:50.879709Z

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=2026-05-21T07:55:11.088587Z digest=sha256:0bf019adcf8afd6d410f2f8ca04df0a8772c04f3d4ec8299ae8f075c3fe5b943

Observation 5bc6a684-5f9c-4d0f-83e4-0e2f34f92eb5 · inbound

GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks cites this paper.

GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.244657Z

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=2026-06-30T07:33:27.135616Z digest=sha256:a77fa14b6952f3a3f149ec6caa85390ac15c1a35d60c11049c6bfb889d96eb13

Observation 370dc6fe-26de-40de-9823-6bb8eed672a4 · inbound

Semi-Supervised Text-Attributed Graph Distillation cites this paper.

Semi-Supervised Text-Attributed Graph Distillation TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T12:58:07.779285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:58:07.779285Z digest=sha256:52a7062fdfd376480744def22cce0d2157df332a6b396e72a2edb513a262b74b