Paper Citation Record · LEDGER

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:2501.15755.

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

pith.paper-citation-record.v1
2501.15755 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:38.480706Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:31:05.613232Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:31:25.445556Z

Reference resolution

56 of 56 outbound references displayed

verified exact2
verified fuzzy0
unresolved54
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0625980-5a92-49cf-ae62-f171a60002bf · outbound

This paper cites online" 'onlinestring :=.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.256011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56c1572-5d38-473f-ac14-01699f534ec4 · outbound

This paper cites write newline.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.261032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78ea3e9-fbf5-4a2f-92f0-a2ca62805764 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.265684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 126f3c8a-b29e-40f8-af17-250fba39dec9 · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design LLaGA: Large Language and Graph Assistant

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.269750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab766f6-fe88-42f8-a40a-c5144957b985 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.215663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70f34a8c-0dac-42b7-bc68-c6694da57e26 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.202722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f05fe4e7-2365-435a-85ca-7b71143b400b · outbound

This paper cites Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.282649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a4cdcf-edec-43ec-8302-63d2fde424fb · outbound

This paper cites A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:01:38.846711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9557b35d-bcf6-45c5-a4c8-ddb856ff6671 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.291395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b53538b-465e-49a6-91a9-e0d8ed1fce36 · outbound

This paper cites A Survey on In-context Learning.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design A Survey on In-context Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.295724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daba6b6c-832e-40dd-9d61-f9b0deec685e · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.299958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20038020-4422-45fa-ab50-6d9fa9cb091f · outbound

This paper cites UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.303572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2586c7f-4a61-4f14-bd85-f06642e5cc92 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.182480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f600541f-e4c1-4333-847e-2f3600fbd745 · outbound

This paper cites Towards Foundation Models for Knowledge Graph Reasoning.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Towards Foundation Models for Knowledge Graph Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.311342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fede8a8a-4689-4dbd-8c71-e1c86ccdbb8e · outbound

This paper cites Few-Shot Learning with Graph Neural Networks.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Few-Shot Learning with Graph Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.315643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad08c22-18e3-4b03-9dce-c3790c3d04aa · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.319667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eefea6b-39b5-4cf6-b22e-7fe74f4685b7 · outbound

This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.323235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29bd8e27-f77a-46c2-ada7-0eabc64754b2 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.327180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41902a2f-60c2-4372-a151-d94592f98453 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.154693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe477f8d-1652-4b84-b8a0-4b9fe62691c0 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.141169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f43bdc88-10ea-4482-a11f-44d1cfa83412 · outbound

This paper cites Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.340174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c40a1b-d5fe-4bb6-afda-e72a1b733492 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.124872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ad8b10b-2b0e-4cc8-8d79-fe64f1e1c03c · outbound

This paper cites UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.348716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9924ca5b-2a70-46eb-96fd-cb96712653f6 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.112158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e37aed3-6b49-4897-bfa5-478cb2003e0b · outbound

This paper cites Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.357242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c42616f-627c-4fe0-b820-22afc4d71b72 · outbound

This paper cites Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.362345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87735b33-46dc-44c5-b651-625b7ad69607 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Semi-Supervised Classification with Graph Convolutional Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.367512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23354456-214b-4641-af75-728680528246 · outbound

This paper cites Variational Graph Auto-Encoders.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Variational Graph Auto-Encoders

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.371542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc0e8a8-b383-4aa8-9f20-15810a28efaa · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.375366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c90f943f-39d4-4aae-8706-f57c038bec92 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.099828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a07c312-cd7e-4fea-bf31-45bc21bc3b10 · outbound

This paper cites Similarity-based Neighbor Selection for Graph LLMs.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Similarity-based Neighbor Selection for Graph LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.382837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a716554-1d62-470d-9560-5a847fb4f34a · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.087847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e04eeff8-7628-44a2-8eb9-7805a14bdd1c · outbound

This paper cites MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.391047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091adce0-f1aa-467c-b8b4-b87c27a857b6 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.076007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52985730-35dc-49d5-b8b5-0a6ef955631a · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.398999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16af32ff-fb98-4f7d-9dff-5258e5b015ee · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.052232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35c5a9fd-ea6d-44c1-b52f-0c7fd12511a4 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.406826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b54999e-6619-4692-becf-aba23eb6fb65 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.037145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bb516fe1-a371-4386-b7be-66ebae81a051 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.414693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b5f4a3-cfa3-4413-b8c2-cc7081085222 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Pitfalls of Graph Neural Network Evaluation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.418528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3435521f-c5eb-4530-b13b-a083bc3e386d · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:39.009901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d54e7a8-93d6-4184-a4ed-d1e40d80ac84 · outbound

This paper cites Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:01:38.591995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8b3edc2-346f-4496-8b72-a8bee3090e39 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.995471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50b6a962-676a-4bac-9f65-59322e157719 · outbound

This paper cites Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.434616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94d4a18-3395-4f4d-8e89-7f7403299fb6 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.982623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2de842d7-c30f-40e5-ae44-c2f2e47b03e6 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.970313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 304568a9-9b20-47cd-ab8f-23a7423dad63 · outbound

This paper cites GraphGPT: Graph Instruction Tuning for Large Language Models.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design GraphGPT: Graph Instruction Tuning for Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.446044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b8f6a9-9bef-41dc-b3d8-d39d3edcbd48 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.956218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba1103d0-d095-494c-b574-2c8977b17449 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.453497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfebddd2-2348-4dd4-9012-e581c5f1f0d6 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.930678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9df5b45-45dc-4ae5-bf62-c301a23b1af2 · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.461493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fb6d5c-73bd-4ee4-8304-83391569d77e · outbound

This paper cites GraphFM: A Comprehensive Benchmark for Graph Foundation Model.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design GraphFM: A Comprehensive Benchmark for Graph Foundation Model

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.465186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5efcfbf-398a-43af-b02d-a41b768549c8 · outbound

This paper cites Language is All a Graph Needs.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Language is All a Graph Needs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.469157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9079f20b-239d-4919-9926-a4636ac7307d · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.905035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26af7ce8-df20-47ef-a9b9-0f0c92e95486 · outbound

This paper cites GraphText: Graph Reasoning in Text Space.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design GraphText: Graph Reasoning in Text Space

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:38.476605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff7f7b0a-4929-443c-b651-0d266095b3ad · outbound

This paper cites an unresolved cited work.

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:01:38.887908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 40cf9b60-da90-4364-a051-eb56d4fbaf63 · inbound

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling cites this paper.

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T04:31:05.613232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba55a8f8-e5e8-4829-a95b-e08ede781d78 · inbound

MLaGA: Multimodal Large Language and Graph Assistant cites this paper.

MLaGA: Multimodal Large Language and Graph Assistant GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:42.822550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff36a8a-72d3-4e28-bb8e-d0965bf3c5e7 · inbound

Graph-Based Alternatives to LLMs for Human Simulation cites this paper.

Graph-Based Alternatives to LLMs for Human Simulation GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:50:33.213844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8f467bb-d25e-4336-83cb-0891520f6f27 · inbound

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models cites this paper.

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:31:25.447991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.