Paper Citation Record · LEDGER

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.07695.

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

pith.paper-citation-record.v1
2507.07695 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:05.193302Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy19
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec918219-1463-4e83-a3cd-30114bab03ae · outbound

This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.124158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a2c4fd-9428-4e73-8be5-b7c2a3ca6146 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.127292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc97401-c5bd-4ef3-a462-9dd5266a8ed0 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms, 2023.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Qlora: Efficient finetuning of quantized llms, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.130166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec40276-046c-44bc-873e-a9df421e2363 · outbound

This paper cites An empirical study of llama3 quantization: From llms to mllms, 2024.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities An empirical study of llama3 quantization: From llms to mllms, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.405067Z

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 1a10fac8-0591-4596-bd24-4641f2468a9f · outbound

This paper cites Retrieval-augmented generation for large language models: A survey, 2024.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Retrieval-augmented generation for large language models: A survey, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.135342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902b3561-b2bd-4e40-806e-dbe9c93ddf1b · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.137874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a526fb9-6aee-4064-bf6b-3154a02b368b · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.140926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42601dac-8c49-4360-ba41-4d469c002240 · outbound

This paper cites Fabbri, Caiming Xiong, and Chien-Sheng Wu.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Fabbri, Caiming Xiong, and Chien-Sheng Wu

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.382272Z

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 80f4ab0d-80ec-4abb-8cff-824efb498146 · outbound

This paper cites Searching for best practices in retrieval-augmented generation, 2024.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Searching for best practices in retrieval-augmented generation, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.372371Z

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 2fb94f93-2247-4c4b-828c-a84b4d200d0e · outbound

This paper cites Relevance filtering for embedding-based retrieval.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Relevance filtering for embedding-based retrieval

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.363950Z

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 827a6196-60a9-45b1-954a-1467a41658e7 · outbound

This paper cites Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.356068Z

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 d9632dd9-0154-4c91-b435-026e6a13cc80 · outbound

This paper cites Blended rag: Improving rag (retriever-augmented generation) accuracy with semantic search and hybrid query-based retrievers.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Blended rag: Improving rag (retriever-augmented generation) accuracy with semantic search and hybrid query-based retrievers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.348505Z

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 21f7d19c-11c0-4cd2-9a09-a0f435b2a392 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.340207Z

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 038e9381-aab0-4a55-9558-73971b4773d5 · outbound

This paper cites Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.332793Z

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 bf55056d-5201-43f5-8be7-c7e88967e9a0 · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text, 2016.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Squad: 100,000+ questions for machine comprehension of text, 2016

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.159162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d46d4e-6b56-4fc6-9847-b5e7baa471f9 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christo- pher D.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Cohen, Ruslan Salakhutdinov, and Christo- pher D

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.161342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09c2830-2c6d-43a4-aa47-28f44b4acbd8 · outbound

This paper cites an unresolved cited work.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:38:05.315895Z

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 ce6c1dd5-ad5c-4225-a6d1-bfd43738da8f · outbound

This paper cites Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.165803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4a34b4-b1af-4bc7-8f74-6800f9006599 · outbound

This paper cites Scirepeval: A multi-format benchmark for scientific document representations, 2023.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Scirepeval: A multi-format benchmark for scientific document representations, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.308665Z

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 297074cf-c779-44e2-8908-e09a5643fee6 · outbound

This paper cites Document ranking with a pretrained sequence- to-sequence model.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Document ranking with a pretrained sequence- to-sequence model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.301301Z

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 07a42fa0-c628-4951-8e98-f343f782d6ca · outbound

This paper cites Re2G: Retrieve, rerank, generate.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Re2G: Retrieve, rerank, generate

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.293527Z

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 62f8e9e6-a8e0-4918-9611-79bb03a070f0 · outbound

This paper cites Fine-tuning llama for multi-stage text retrieval.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Fine-tuning llama for multi-stage text retrieval

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.285368Z

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 15098410-0ee8-4f38-9e36-813a93a4d34c · outbound

This paper cites Financial time series forecasting with multi-modality graph neural network.Pattern Recognition, 121:108218, 2022.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Financial time series forecasting with multi-modality graph neural network.Pattern Recognition, 121:108218, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.277397Z

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 23e0ef84-d067-401b-81d2-a82d88026b01 · outbound

This paper cites Retrieval-augmented generation with knowledge graphs for customer service question answering.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Retrieval-augmented generation with knowledge graphs for customer service question answering

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.268920Z

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 50f32f9a-87c0-4922-aac8-39cb168f923f · outbound

This paper cites Kg-rag: Bridging the gap between knowledge and creativity, 2024.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Kg-rag: Bridging the gap between knowledge and creativity, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.261128Z

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 3d244bd6-18ce-4fdb-8120-60d4147857b9 · outbound

This paper cites Hybridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Hybridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.252796Z

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 16e9cd37-b2c6-4524-9d22-100c38e7777f · outbound

This paper cites From local to global: A graph rag approach to query-focused summarization, 2024.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities From local to global: A graph rag approach to query-focused summarization, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:05.186524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e28ef2d-82af-433a-97ee-4f09e5720d60 · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation, 2023.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Ragas: Automated evaluation of retrieval augmented generation, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.240494Z

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 805de10e-6cae-43b8-bffd-b6d863c9dbbb · outbound

This paper cites LongT5: Efficient text-to-text transformer for long sequences.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities LongT5: Efficient text-to-text transformer for long sequences

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.231773Z

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 9e4c1805-1aa0-4444-803d-53c78738444c · outbound

This paper cites Multihop-RAG: Benchmarking retrieval-augmented generation for multi-hop queries.

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities Multihop-RAG: Benchmarking retrieval-augmented generation for multi-hop queries

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:05.223346Z

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.

Pith citing papers

No inbound Pith citation observations are available.