Paper Citation Record · LEDGER

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.03939.

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

pith.paper-citation-record.v1
2506.03939 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:39.945036Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy3
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c465461-acfd-41e6-bdec-fc62181fdd29 · outbound

This paper cites Mixtral of Experts.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Mixtral of Experts

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.895554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed79cb42-ad78-4cd1-abb8-1e4bd0d6327a · outbound

This paper cites Complex Logical Reasoning over Knowledge Graphs using Large Language Models.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Complex Logical Reasoning over Knowledge Graphs using Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.898876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a2e817-099b-4615-b56f-713127b742ea · outbound

This paper cites The Llama 3 Herd of Models.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.902184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0e654a-9721-4424-9dd4-d94bd2657deb · outbound

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

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.905237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906bb857-e3fc-47eb-a51f-a89742695a2c · outbound

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

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.909173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822c91db-0aa2-4402-ac6e-4432334859ea · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.912470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6578f533-e3f4-4cb2-829b-8a7f8e1e3866 · outbound

This paper cites InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9237–9251.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9237–9251

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:40.093119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3615e529-936c-4fad-b2b8-9628377db59c · outbound

This paper cites Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.921322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91cbbd4b-8236-4d96-a6b2-059ea6b7870c · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.924377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875d79de-1e99-4ad5-b2e3-3c0c29762198 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning A Survey of Hallucination in Large Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.927515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fedc170-3157-4e2a-a44f-650168f9e8cb · outbound

This paper cites Graph Reasoning with Large Language Models via Pseudo-code Prompting.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Graph Reasoning with Large Language Models via Pseudo-code Prompting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.930679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d09ff59-1325-43ae-98f8-d9751fc294b8 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.933599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883eb901-fcba-4f3e-b199-db4a3ce7bba0 · outbound

This paper cites Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.936494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b20f0878-63ef-4853-89cb-e6afd39a671f · outbound

This paper cites Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.939533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87fa01d0-2aa7-4cdf-bff3-29bf84a7d787 · outbound

This paper cites Qwen2.5 Technical Report.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Qwen2.5 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.942389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66458ca7-68a7-4fc3-a5c8-8820450fd717 · outbound

This paper cites InFindings of the Association for Computa- tional Linguistics: EACL 2024, pages 1955–1973, St.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning InFindings of the Association for Computa- tional Linguistics: EACL 2024, pages 1955–1973, St

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:40.075865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a99db60-9086-4d28-b3ae-83a28cc179d0 · outbound

This paper cites Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, and Jundong Li.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, and Jundong Li

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:40.084702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83d83d49-bca9-480c-8159-c63ce46338c2 · outbound

This paper cites GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.891083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685d3ab1-2f3b-4060-a564-80824e1dcfb4 · outbound

This paper cites CodeGraph: Enhancing Graph Reasoning of LLMs with Code.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning CodeGraph: Enhancing Graph Reasoning of LLMs with Code

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:39.886459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.