Paper Citation Record · LEDGER

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.11562.

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

pith.paper-citation-record.v1
2606.11562 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:41:37.290485Z

measured 40 of 40 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact11
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9e255b7-814f-40fe-8176-fb2871589d99 · outbound

This paper cites Claude Opus 4.7 System Card.https://www.anthropic.com/ claude-opus-4-7-system-card, April 2026.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Claude Opus 4.7 System Card.https://www.anthropic.com/ claude-opus-4-7-system-card, April 2026

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation d6ce2975-46b1-404b-bbae-255acfbd5b87 · outbound

This paper cites Kqa pro: A dataset with explicit compositional programs for complex question answering over knowledge base.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Kqa pro: A dataset with explicit compositional programs for complex question answering over knowledge base

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation e8dac181-3363-4282-92f4-1d2edf4c2043 · outbound

This paper cites Graphwiz: An instruction-following lan- guage model for graph computational problems.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graphwiz: An instruction-following lan- guage model for graph computational problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation b55ed846-f32c-4c79-9250-cf26f0cf5278 · outbound

This paper cites LLaGA: Large language and graph assistant.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs LLaGA: Large language and graph assistant

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 5e8b1664-2223-4fa0-b4df-616c2bf3f1c2 · outbound

This paper cites Exploring the potential of large language models (llms) in learning on graphs.ACM SIGKDD Explorations Newsletter, 25(2):42–61, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Exploring the potential of large language models (llms) in learning on graphs.ACM SIGKDD Explorations Newsletter, 25(2):42–61, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8281fb-4af9-4522-acc0-4553328366a2 · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Talk like a Graph: Encoding Graphs for Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.497699Z

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 c7e99a90-0745-43b6-8f9f-d598dd8b1755 · outbound

This paper cites Beyond iid: three levels of generalization for question answering on knowledge bases.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Beyond iid: three levels of generalization for question answering on knowledge bases

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4eb20d5-5ba5-4be6-8a34-05379075b824 · outbound

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

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.508254Z

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 fb0930ac-fc0b-4840-832c-5a06f27a92e6 · outbound

This paper cites G-retriever: Retrieval-augmented generation for textual graph un- derstanding and question answering.Advances in Neural Information Processing Systems, 37: 132876–132907, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs G-retriever: Retrieval-augmented generation for textual graph un- derstanding and question answering.Advances in Neural Information Processing Systems, 37: 132876–132907, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation 8d8a89f0-1a7c-47ae-b3f1-8cd2726ff002 · outbound

This paper cites Systematic integration of biomedical knowledge prioritizes drugs for repurposing.elife, 6:e26726, 2017.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Systematic integration of biomedical knowledge prioritizes drugs for repurposing.elife, 6:e26726, 2017

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db14fed-e94e-422f-9827-c2e2b04825e2 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Open graph benchmark: Datasets for machine learning on graphs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 6df2c43b-52ae-4885-97ba-0062996fb86e · outbound

This paper cites Graph chain-of-thought: Augmenting large language models by reasoning on graphs.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graph chain-of-thought: Augmenting large language models by reasoning on graphs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation 1dbdb616-6e3b-4225-87b8-24377e42818e · outbound

This paper cites GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.510589Z

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 f2998c05-c67d-4546-a906-dd9db8276459 · outbound

This paper cites Graphs over time: densification laws, shrinking diameters and possible explanations.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graphs over time: densification laws, shrinking diameters and possible explanations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4655d458-98a3-4bd8-83c2-027f43fe8843 · outbound

This paper cites Glbench: A comprehensive benchmark for graph with large language models.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Glbench: A comprehensive benchmark for graph with large language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation 8044c7d7-f307-4af3-b2a6-a2a6817e6810 · outbound

This paper cites Awq: Activation-aware weight quanti- zation for on-device llm compression and acceleration.Proceedings of machine learning and systems, 6:87–100, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Awq: Activation-aware weight quanti- zation for on-device llm compression and acceleration.Proceedings of machine learning and systems, 6:87–100, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd29ed7-3384-4ece-bbff-5e7a224758a9 · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs One for All: Towards Training One Graph Model for All Classification Tasks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.494566Z

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 559b2bd7-13d7-4769-bcfd-682d1047c0e8 · outbound

This paper cites Graphinstruct: Empowering large language models with graph understanding and reasoning capability.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graphinstruct: Empowering large language models with graph understanding and reasoning capability

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.500732Z

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 9e25fed0-a343-46d9-85ad-31304c60c26e · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:57:47.513194Z

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 faa35d5a-f0be-4465-914c-a2250196fd01 · outbound

This paper cites Financial fraud detection using graph neural networks: A systematic review.Expert Systems with Applications, 240:122156, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Financial fraud detection using graph neural networks: A systematic review.Expert Systems with Applications, 240:122156, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation e369583a-ed16-4685-96e2-030af7519b6c · outbound

This paper cites Communities, modules and large-scale structure in networks.Nature physics, 8(1):25–31, 2012.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Communities, modules and large-scale structure in networks.Nature physics, 8(1):25–31, 2012

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 252b0b4a-1e68-4ab5-97db-eaf8c7e26554 · outbound

This paper cites OpenAI GPT-5 System Card.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs OpenAI GPT-5 System Card

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:57:47.496946Z

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 08b64dd0-fda8-4b0c-8142-1d8152614c75 · outbound

This paper cites Let Your Graph Do the Talking: Encoding Structured Data for LLMs.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Let Your Graph Do the Talking: Encoding Structured Data for LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.504673Z

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 75e53f98-3452-4c71-b055-fc3e6b06ad23 · outbound

This paper cites Collective classification in network data.AI magazine, 29(3):93–93, 2008.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Collective classification in network data.AI magazine, 29(3):93–93, 2008

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation dd67727e-4dd6-4039-bcbb-4a1daa4f2722 · outbound

This paper cites Stack Exchange Data Dump.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Stack Exchange Data Dump

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 7a92bede-9450-45e2-9190-594f01fb0fe4 · outbound

This paper cites The web as a knowledge-base for answering complex ques- tions.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs The web as a knowledge-base for answering complex ques- tions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 6710964e-a4b2-4b8f-8fb7-421068461315 · outbound

This paper cites Graphgpt: Graph instruction tuning for large language models.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graphgpt: Graph instruction tuning for large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation ba046efd-e8b0-4b5a-a04f-756e4838d77b · outbound

This paper cites GraphArena: Evaluating and Exploring Large Language Models on Graph Computation.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs GraphArena: Evaluating and Exploring Large Language Models on Graph Computation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.483658Z

Source-reported events for the cited work

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Observation c3af3365-8806-48c6-8dba-867be9b6079c · outbound

This paper cites Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings.Advances in neural information processing systems, 37:5950–5973, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings.Advances in neural information processing systems, 37:5950–5973, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24e8f81-124c-4923-88bd-35af523f7e62 · outbound

This paper cites Can language models solve graph problems in natural language?Advances in Neural Information Processing Systems, 36:30840–30861, 2023.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Can language models solve graph problems in natural language?Advances in Neural Information Processing Systems, 36:30840–30861, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation 8340b1e9-2666-4519-a99a-6f1b1f375091 · outbound

This paper cites Stark: Benchmarking llm retrieval on textual and relational knowledge bases.Advances in Neural Information Process- ing Systems, 37:127129–127153, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Stark: Benchmarking llm retrieval on textual and relational knowledge bases.Advances in Neural Information Process- ing Systems, 37:127129–127153, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation f208117c-e5f9-4164-afc4-75d7349930f3 · outbound

This paper cites Graph neural networks in recom- mender systems: a survey.ACM computing surveys, 55(5):1–37, 2022.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Graph neural networks in recom- mender systems: a survey.ACM computing surveys, 55(5):1–37, 2022

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation e385becb-b3a8-4c08-ae7a-d76a11bdbee8 · outbound

This paper cites When to use graphs in rag: A comprehensive analysis for graph retrieval-augmented generation.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs When to use graphs in rag: A comprehensive analysis for graph retrieval-augmented generation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.499854Z

Source-reported events for the cited work

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Observation 365d7ee3-58dc-48e4-a582-9e5f09619bf3 · outbound

This paper cites GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.485990Z

Source-reported events for the cited work

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Observation 9bb5fe75-cdd4-4949-a5f4-1d596ddc15ba · outbound

This paper cites Crag-comprehensive rag benchmark.Ad- vances in Neural Information Processing Systems, 37:10470–10490, 2024.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Crag-comprehensive rag benchmark.Ad- vances in Neural Information Processing Systems, 37:10470–10490, 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation 0d6cec9b-1f1c-40b1-b303-645cb5b43813 · outbound

This paper cites Language is all a graph needs.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Language is all a graph needs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 2388130e-f3ed-410a-a4b5-c8d15ecef603 · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs The value of semantic parse labeling for knowledge base question answering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

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Observation 3aac835e-a9ad-4cac-8a94-3855b0bc4941 · outbound

This paper cites Gracore: Benchmarking graph comprehension and complex reasoning in large language models.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Gracore: Benchmarking graph comprehension and complex reasoning in large language models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

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Observation b058b9f2-7e87-4c41-8189-349850519cd7 · outbound

This paper cites Variational rea- soning for question answering with knowledge graph.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Variational rea- soning for question answering with knowledge graph

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T10:41:37.290485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268c34a8-6b22-4e4a-a66e-a9ca753dca73 · outbound

This paper cites Datasheets for Datasets.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Datasheets for Datasets

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.507101Z

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.

Pith citing papers

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