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Paper Citation Record · LEDGER

Label-free Node Classification on Graphs with Large Language Models (LLMS)

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.04668.

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

pith.paper-citation-record.v1
2310.04668 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:07:39.697630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.670923Z

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 8e68989c-fc2c-48e9-9792-2898b1bfc983 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.738678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:d246413acb8867110ce7ea684730d82a86eb4454f68f67f43bf75f39a2a67e3f

Observation a43887ed-0511-479f-84f1-bef9dd1f6144 · inbound

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

Toward General and Robust LLM-enhanced Text-attributed Graph Learning Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:27:08.272534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T21:26:35.707533Z digest=sha256:49e9d9375f77e5bebd0f6f69fae0f606b6c015ea94e0f09aeadc17a182cb19cd

Observation fe98e8ed-f54b-4d95-999e-285ee2d5f626 · 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 Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T00:07:39.697630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:07:39.697630Z digest=sha256:674f5acdfc8eaf4cb46d1e7a600078faf36ce1593e412c945649a145bbb23b8b

Observation 5864b47f-b792-47f6-9bab-5c9f249ec2f3 · 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 Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 119

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:09.912357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T05:49:52.864722Z digest=sha256:c0e89629ac6fe1035f5d35e9cb03b640822aa43b80a89ef38a269746a796ee42

Observation 20880e4f-a462-4070-b3c3-eb062f48ff78 · inbound

Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs cites this paper.

Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:30.671826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-29T14:26:07.597446Z digest=sha256:30ed5619edf6377a3dcc8334b50bef7bc3e51e1579f767f7e20d51400445b123

Observation 066e4824-a963-46de-8660-d70ffab21323 · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:47.672293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T10:33:02.954683Z digest=sha256:c9f7e003f1148579161edc779216f91130146086af4bd6297a062a49f1af3c10

Observation ba572fb1-77a3-47e7-8ad1-95c57446d266 · inbound

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

GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.261551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T07:33:27.135616Z digest=sha256:465e67fd35f3904de4af16c4da1d5019c368fbf52e98096600269a6062d7aeb6

Observation ae4de128-acd4-47f8-b1b5-e59cc097b77a · inbound

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

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 174

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.633426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:936433f5fcc0a4c1763aa075d3241e539a984523406df034bd3e3ea8af1b6fe6