Paper Citation Record · LEDGER

Efficient Tuning and Inference for Large Language Models on Textual Graphs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.15569.

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

pith.paper-citation-record.v1
2401.15569 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:53.377716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:08:03.190498Z

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 ce160746-7844-4264-940a-3084b93a8321 · inbound

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

Toward General and Robust LLM-enhanced Text-attributed Graph Learning Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:27:08.313722Z

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.

Observation 7cc3575c-96c3-4198-8cdc-769b4bca6e7e · 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 Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T05:44:53.377716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda9e114-cf5e-421f-9183-a42ba690fe6d · inbound

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:46:07.729270Z

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.

Observation 6baeb5a8-45cb-401d-a15d-4b2b46ac7ee2 · 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 Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T00:07:44.908080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c41c77-a037-4e57-97ad-61b742c28116 · 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 Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:57:17.734168Z

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.

Observation 577a9452-7bc4-40c0-9f6a-416635b1a9fe · 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 Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:08:03.192006Z

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.

Observation 9d41844d-f4bb-479c-a24a-b4d3ac0b535b · inbound

PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning cites this paper.

PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:24:26.841057Z

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.

Observation 4d4ac506-f08d-4e7d-8bca-03394f083095 · inbound

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

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 177

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.646819Z

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.

Observation 1e2fa54c-aad2-4ac6-8f34-0103af77b031 · inbound

UNIT: Unleash Large Language Models Potential for Graph Continual Learning cites this paper.

UNIT: Unleash Large Language Models Potential for Graph Continual Learning Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T13:51:14.141383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2035a67-d696-432d-9478-61420cd65b72 · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:33.357979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a89a488-396c-4adf-b019-6444d0844813 · inbound

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T13:29:54.376422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.