Paper Citation Record · LEDGER

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.07103.

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

pith.paper-citation-record.v1
2404.07103 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:54.842400Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:47:16.655497Z

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 878a0dae-5f10-4f4a-9912-c90887b74fd5 · inbound

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

Retrieval-Augmented Generation with Graphs (GraphRAG) Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:33:39.330293Z

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 25bd15e8-66c3-4d74-853d-9c414bb2aeed · inbound

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG cites this paper.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.842400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66e7667-9ad3-455a-8e30-50cffcc77095 · inbound

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering cites this paper.

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:37.174141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e4d8dd-532b-4c51-b697-43c1f4837be4 · inbound

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs cites this paper.

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:08.808188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cbae3d5-fb93-468b-878f-4c979fd6f446 · 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 Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:31.987520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11481041-1080-495b-a575-976d77157868 · inbound

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model cites this paper.

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:43.407334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b20539e-8548-4812-bf93-bec63bdeeac1 · inbound

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning cites this paper.

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.969505Z

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 f8e23719-3ab5-45af-9f55-3b59cb79ea51 · inbound

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning cites this paper.

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:50:54.445005Z

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 b02a07f2-b51b-49db-8793-fbcc45a39050 · inbound

Correct Prediction, Wrong Steps? Consensus Reasoning Knowledge Graph for Robust Chain-of-Thought Synthesis cites this paper.

Correct Prediction, Wrong Steps? Consensus Reasoning Knowledge Graph for Robust Chain-of-Thought Synthesis Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:45:23.914545Z

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 10c07e59-8f2e-4c0d-bfd4-29fb6d05b886 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 148

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:56:11.401971Z

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 fbab12d4-f9ba-4097-b5c9-a57b850c8c5f · inbound

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory cites this paper.

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:51:34.953164Z

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 51c55be5-166f-4717-a099-a1fb091d09f7 · inbound

Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning cites this paper.

Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:44:38.466299Z

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 6ad0c18b-4e4c-430f-9af5-c5c44b753730 · inbound

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation cites this paper.

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:47:16.657071Z

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 b0024468-1eff-4237-a7aa-f5f9c890d3d6 · inbound

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering cites this paper.

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:22:40.528946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.