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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 9 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 2026-08-09T06:31:02.800959+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=sha256:5261c212d35ce5a17b585f35c554e9e1c25b7e775a52e3a42050cd65dadfa4cc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T23:30:11.590032Z digest=sha256:ac7b653fed4e9880460a54605f00690091f9b4be793699d1821604d2621ceb95

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T20:24:02.748854Z digest=sha256:f6ff9939a58db7028abc322d6690c385d74f44141939864a30f71a532dfed7c6

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=sha256:99882c107af5357d429627b45a647417148881eea57c861477068cdbb0c03578

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T19:31:41.045648Z digest=sha256:7dde3c871f71d50a97b7922c6efb0f1803baaa3b59bef5291ef77f2e87591392

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T12:49:18.671971Z digest=sha256:5c86d743c3f41d5042fac7879f13fe8c915124d896f9cbeedc1ac3fe8f9eee8c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:55:11.088587Z digest=sha256:1f189ada7b719d982f04fe3bccbf9aaa95daa466341056cd235ef197dc03494c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T07:33:27.135616Z digest=sha256:d07562797298a6c2c6a8c36c4b0809d1a5f5394e37a50c815bc3c8558c85b4f4

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