Paper Citation Record · LEDGER

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.06331.

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

pith.paper-citation-record.v1
2506.06331 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:56.622230Z

measured 43 of 43 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:26:34.543601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.256164Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy2
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eea22e00-5590-4e04-9c8a-5e8652d459d3 · outbound

This paper cites Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:52.100887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8102f06b-cf39-4779-a504-804da4acc9ee · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:52.598430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365d8262-1e73-4516-babf-489ea127bf12 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:59.392161Z

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.

Observation 66662935-65a0-46e2-b209-56480bc9acf4 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:59.139215Z

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.

Observation c1933a8e-b3d0-405c-be0a-094c8a48f047 · outbound

This paper cites Can Large Language Models Be an Alternative to Human Evaluations?.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Can Large Language Models Be an Alternative to Human Evaluations?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.297574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fe1194-b5bd-4086-8c6f-3c7e9ecad78f · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:58.868469Z

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.

Observation 576e6dd6-4814-4853-86a6-26b67d289808 · outbound

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

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.499645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bacdf5c6-f730-4c27-b261-136adc0a3707 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:58.558963Z

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.

Observation 40ac6b89-16a7-4830-8dcb-095484f6d103 · outbound

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

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.739243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4b353e-f01b-43a1-a563-5fb1db6a1c8c · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.847820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5022996f-82a5-48bb-989e-3efaa01cb132 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.081767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b84d0c7-a2f8-4e13-981b-ec0c425159ad · outbound

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

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.253352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5797fb3d-b8ad-4387-be65-a15f9c9b120c · outbound

This paper cites Authorea Preprints (2023).

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Authorea Preprints (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:57.875967Z

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.

Observation b4e36222-f3c2-489f-8616-4934665ef03e · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.408861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4077b428-7e9c-4a91-8789-a892b334e31d · outbound

This paper cites RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:09:57.072728Z

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.

Observation 38966540-b352-470c-8eef-437c401bb2da · outbound

This paper cites RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.561639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0469d32-a96b-4645-8acf-2e26a84cd73c · outbound

This paper cites GRAG: Graph Retrieval-Augmented Generation.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG GRAG: Graph Retrieval-Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.491432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.

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 c41f0bbe-0aa2-406b-90b7-9d8c803ca645 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.647186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a70f652-00cd-4424-83d9-f4e5b3fc06f4 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.750993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdbd5fc2-b153-4c5b-ab91-9e9e57462027 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.110824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea3cf4e-ab13-499b-9030-1e602fe379cd · outbound

This paper cites Large Language Models Are State-of-the-Art Evaluators of Translation Quality.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Large Language Models Are State-of-the-Art Evaluators of Translation Quality

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.928802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c52eb-bf3d-45ca-a47d-73e3c1a04a6a · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:57.731347Z

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.

Observation 3c00f0c1-f306-4aaf-820b-d7eddf6346fb · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:57.502125Z

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.

Observation 4068be9d-418f-4d2d-8c04-8c37d0b311d4 · outbound

This paper cites LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.224300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2977eafd-1c8a-471f-a688-5600855e305c · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:57.621584Z

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.

Observation 46360ffe-3d27-4ca9-a0c2-c94f37ef7ebd · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.684978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538c6878-e27e-4034-b44c-3e1d7aa99845 · outbound

This paper cites MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.510944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85baa367-4b1b-4b95-8d2b-d53fdfe2ce98 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.597316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136bc01d-9ad6-49d4-a1d2-324c67312e8b · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.934929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb6a41e-ca9b-4232-8f12-83f7757c1b8e · outbound

This paper cites Are Expert-Level Language Models Expert-Level Annotators?.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Are Expert-Level Language Models Expert-Level Annotators?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.773665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a684123e-71bb-45fa-ab66-282c67d0807a · outbound

This paper cites Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.855707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5071bc-5af3-41d6-81dd-0ede1ada0644 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.265393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dba7e0e-07fa-46df-8262-9d80202ef284 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:57.285781Z

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.

Observation d672dc24-22ef-43e2-9887-d6a2539cfab6 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.067106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ad1123-e0ae-4469-afbb-e6e9d7b3bac2 · outbound

This paper cites an unresolved cited work.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:57.412074Z

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.

Observation fed30cbf-afac-42d5-9cbd-4ed86d6b6b99 · outbound

This paper cites illusion.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG illusion

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.622230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb8cbae-bb8b-4342-8bf2-c4f17e618159 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Efficient Streaming Language Models with Attention Sinks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.358837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa867e1-1afd-4640-a17f-4c046d537394 · outbound

This paper cites Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.478822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d2e07f-2ef0-43ff-906d-29c59cd62661 · outbound

This paper cites Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:56.534287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ee2d71-2136-4a9b-9e10-688bdda89f09 · outbound

This paper cites Authorea Preprints (2023).

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Authorea Preprints (2023)

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:58.223435Z

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.

Observation 53070168-532d-41d6-9a2d-7049534bf9d1 · outbound

This paper cites Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:55.988580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9e5504e2-13b3-4f8d-af69-e27736bfca6c · inbound

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge cites this paper.

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.257611Z

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.