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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-07T10:56:39.895554Z digest=sha256:fc96ec78242f1469ac97b15539213132c5074c08dd7b3590af0bde5129426523

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.

source=pdf_text observed=2026-08-07T10:56:39.898876Z digest=sha256:4cfb94b2ed01e0d976eadbff2d7acfb9a824c4b369c8bb29b2aa6484819c3e3e

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.

source=pdf_text observed=2026-08-07T10:56:39.902184Z digest=sha256:49cc501344fe8fd5e368e4d61a6b540eb526b772521c37441e996c45cd71b3d4

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.

source=pdf_text observed=2026-08-07T10:56:39.905237Z digest=sha256:b68433223848542694fe093e256312473dc97c6a82aab3134d5f6e4707d07a29

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.

source=pdf_text observed=2026-08-07T10:56:39.909173Z digest=sha256:86e092af7515b0f288b09fad9737df7cb2bb40d832c01c50078322fbddb202cf

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.

source=pdf_text observed=2026-08-07T10:56:39.912470Z digest=sha256:9e1b0ae094641eb1f7d6780d2fe9fb3cb3872a01d6105be91df4ad1f4d8b0dec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:56:39.915523Z digest=sha256:b27674faea24e5c498a838740f5aeb6713d45c1a53747da0c4c53e41692d0add

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.

source=pdf_text observed=2026-08-07T10:56:39.921322Z digest=sha256:871b6f449b78a844111bd10a30705477a41e757a18d6bcbd846f4b0817cf8706

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.

source=pdf_text observed=2026-08-07T10:56:39.924377Z digest=sha256:635563d2543731e209664db35ea197692c31b787afc2c53fece257565794db90

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.

source=pdf_text observed=2026-08-07T10:56:39.927515Z digest=sha256:aa080e4fdd07383565cea119559b516a94c55b6c5902fb7833b240824ddca11c

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.

source=pdf_text observed=2026-08-07T10:56:39.930679Z digest=sha256:cff3ccdd0cd26d528a27704d938ff04405d67b3f8ddf275b3423ce87946ebc1f

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.

source=pdf_text observed=2026-08-07T10:56:39.933599Z digest=sha256:8b2243350860294b299394cbe95b3e000024fbbd146d5a059102336fd1e0dce9

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.

source=pdf_text observed=2026-08-07T10:56:39.936494Z digest=sha256:ed16cd093f09783a3f17803179e82dcb383b96c6cb2de37f82de2f362a820cdb

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.

source=pdf_text observed=2026-08-07T10:56:39.939533Z digest=sha256:c96c91e8a7d9b373e186b89c58214814cbc00275632b4c25f68db873fce31cf9

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.

source=pdf_text observed=2026-08-07T10:56:39.942389Z digest=sha256:588766f0429a1fd7c72d385a05514ae6454ca80fe0a5f321792fa6eef4c5cde5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:56:39.945036Z digest=sha256:4c1ab8608b904a5faeb2ce8da1b6b67985827565a4604cff9757ab7347e2a3ca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:56:39.918375Z digest=sha256:414223fef6f26bddbeab5f64476dd0972eda5d3e9e6bdd9d4ff8da20078d6074

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.

source=pdf_text observed=2026-08-07T10:56:39.891083Z digest=sha256:bd7a49f983a083ed5639d8bc86a643311f5a67fb377e1f58edfc70538aef59fd

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.

source=pdf_text observed=2026-08-07T10:56:39.886459Z digest=sha256:d56205d053eae619dc63559c5346f8cb1f6e05adc824bfedae128007bfdf20c5

Pith citing papers

No inbound Pith citation observations are available.