Paper Citation Record · LEDGER

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.19466.

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

pith.paper-citation-record.v1
2506.19466 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:07.910923Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy17
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b28f482c-f30e-4069-9102-48002d62b226 · outbound

This paper cites Dense passage retrieval for open-domain question answering,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Dense passage retrieval for open-domain question answering,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:10.344904Z

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 b456b0fe-f99f-428a-b5e0-3657a4598904 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.170334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14e490f-a1e1-4c33-b0fe-a68a7d81baeb · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.245732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b209c25f-16bf-460a-a077-e843f2a1ce1c · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models HybridFlow: A Flexible and Efficient RLHF Framework

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.297026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2657462-a267-4b9b-965e-2db8927dbc53 · outbound

This paper cites Wikidata: a free collaborative knowledgebase,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Wikidata: a free collaborative knowledgebase,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:10.186818Z

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 6f692e0f-9a36-420c-a77a-1bc7cf1da85b · outbound

This paper cites Constructing A multi-hop QA dataset for comprehensive evaluation of reasoning steps,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Constructing A multi-hop QA dataset for comprehensive evaluation of reasoning steps,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:10.069329Z

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 40be7c40-705a-4692-8f61-023ed46fd783 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Hotpotqa: A dataset for diverse, explainable multi-hop question answering,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.984588Z

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 8c9347db-16f0-45bb-ba9d-7d54f55aba41 · outbound

This paper cites Musique: Multihop questions via single-hop question composition,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Musique: Multihop questions via single-hop question composition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.829325Z

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 6450132c-0e5b-47b5-9f59-1122737e9215 · outbound

This paper cites Dense text retrieval based on pretrained language models: A survey,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Dense text retrieval based on pretrained language models: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.703511Z

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 9bfeb630-36f1-4b1a-be7d-15f5428bf719 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.739682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e258f0cc-ba7b-42e7-9d36-7ccf52781576 · outbound

This paper cites Measuring and narrow- ing the compositionality gap in language models,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Measuring and narrow- ing the compositionality gap in language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.550540Z

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 0ff7d332-dcbf-48da-9744-4dcde3b6636b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.872413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f763d3-caf8-4495-a44b-374b559cd64e · outbound

This paper cites s1: Simple test-time scaling.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models s1: Simple test-time scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:05.928572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1672311e-6c52-42a0-89d0-1b61e1f9b726 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Star: Bootstrapping reasoning with reasoning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.385853Z

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 baebe486-1ace-4d6c-b545-2adfd06a3280 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.272443Z

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 eb846aeb-6d90-4727-bb14-c174096e2d13 · outbound

This paper cites Claude 3.7 sonnet and claude code,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Claude 3.7 sonnet and claude code,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.155434Z

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 666e854f-8694-4af3-9503-9ff282f7e764 · outbound

This paper cites Learning to reason with LLMs,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Learning to reason with LLMs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.049985Z

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 93d76a24-1926-42c6-a41e-01496f84d72a · outbound

This paper cites Corrective Retrieval Augmented Generation.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Corrective Retrieval Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:06.524660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ded99ab-9ff1-4a4d-9aac-966e85c8cf3d · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Self-rag: Learning to retrieve, generate, and critique through self-reflection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.914395Z

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 c46de477-cbaf-4cfc-a8f6-9a5bd52babb7 · outbound

This paper cites Interleaving retrieval with chain- of-thought reasoning for knowledge-intensive multi-step questions,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Interleaving retrieval with chain- of-thought reasoning for knowledge-intensive multi-step questions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.749270Z

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 68727962-532d-4d20-9350-0acf85bbec17 · outbound

This paper cites Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.608468Z

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 928a7eef-c0e7-40ce-96ce-f78a9cfaf476 · outbound

This paper cites Hugginggpt: Solving AI tasks with chatgpt and its friends in hugging face,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Hugginggpt: Solving AI tasks with chatgpt and its friends in hugging face,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.483283Z

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 c1f16e2b-ed7f-4310-82ac-01e630ba5290 · outbound

This paper cites Agentboard: An analytical evaluation board of multi-turn LLM agents,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Agentboard: An analytical evaluation board of multi-turn LLM agents,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.358651Z

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 b2b5741f-5f9a-4168-bd57-cfb611c8c69f · outbound

This paper cites Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.292016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488cc88f-5cdc-43ce-8c9a-fc21d0ad6400 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Toolformer: Language models can teach themselves to use tools,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.399789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45fa2f83-20da-49ce-9a68-b323a055354d · outbound

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

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.518791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d9e762-9a52-4293-ac28-0bbd49793e2b · outbound

This paper cites Learning to plan for retrieval-augmented large language models from knowledge graphs,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Learning to plan for retrieval-augmented large language models from knowledge graphs,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.250087Z

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 540ce1d4-3a5b-4d22-acfb-47d197481a22 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.710550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e434e1e-7fc2-40ee-9add-daf756dc936c · outbound

This paper cites Baichuan alignment technical report,.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Baichuan alignment technical report,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.860861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a78b8b8-2a12-4384-8966-402c0b4d2ebb · outbound

This paper cites Qwen2.5 Technical Report.

KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models Qwen2.5 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:07.910923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.