Paper Citation Record · LEDGER

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2304.11116.

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

pith.paper-citation-record.v1
2304.11116 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:34:49.106999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:12.272339Z

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 007dfc09-0ba1-4e43-bba5-e4293bcb4ce8 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:56.711893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e054c77d-c582-44c5-bff9-6d264f23e50a · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:31:11.644373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c255448a-212a-459c-926b-3ff0ac88b588 · inbound

From Local to Global: A Graph RAG Approach to Query-Focused Summarization cites this paper.

From Local to Global: A Graph RAG Approach to Query-Focused Summarization Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:58.106562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4d0450f-5c5c-48d8-9efd-34db7aa40946 · inbound

LLM Augmentations to support Analytical Reasoning over Multiple Documents cites this paper.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T13:34:49.106999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3819d785-d599-4fbd-8946-fdbca34fae03 · inbound

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases cites this paper.

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T19:56:15.639992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317cfdb8-69b9-4161-91ef-2c258b58b285 · inbound

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction cites this paper.

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T18:19:00.828097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a217c4-b3c7-401a-b486-9c1c5a757e07 · inbound

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:28.464184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71905a6-9c0f-4685-87fb-3d03f048be13 · inbound

GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval cites this paper.

GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:33.127876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b729be4-50b1-4e53-8c58-faedb5ddf492 · inbound

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering cites this paper.

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T22:55:20.898267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f91beac-a9f7-4a56-905b-c524931a3f01 · inbound

EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents cites this paper.

EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:25.879336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7aeb5341-3372-4248-a70b-8b71d7a411cc · inbound

GraphReview: Scientific Paper Evaluation via LLM-based Graph Evidence Expansion cites this paper.

GraphReview: Scientific Paper Evaluation via LLM-based Graph Evidence Expansion Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:33:50.761580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72836ff9-5891-45eb-b9bb-de6213a59f9a · inbound

Are Large Language Models Suitable for Graph Computation? Progress and Prospects cites this paper.

Are Large Language Models Suitable for Graph Computation? Progress and Prospects Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 260

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:12.274234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.