Paper Citation Record · LEDGER

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2501.05554.

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

pith.paper-citation-record.v1
2501.05554 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:16:23.985198Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:54.992904Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:32:58.874837Z

Reference resolution

31 of 31 outbound references displayed

verified exact4
verified fuzzy2
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6340de79-db2a-49f4-9f12-2a139cbd40ca · outbound

This paper cites Toward Conversational Agents with Context and Time Sensitive Long-term Memory.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Toward Conversational Agents with Context and Time Sensitive Long-term Memory

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.859061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9321edf-ddd2-470f-a5fb-ca1e908279dc · outbound

This paper cites Make Your LLM Fully Utilize the Context.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Make Your LLM Fully Utilize the Context

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.863748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cccd294-2beb-487d-8e6a-ceb0536c6379 · outbound

This paper cites Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:16:24.357290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b23e159e-380f-4c71-9ae4-fc84dde10f03 · outbound

This paper cites Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:16:24.341381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4301d00b-8a2c-4975-a2a9-c0039efe623c · outbound

This paper cites F., Weigang, L., Brom, P.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts F., Weigang, L., Brom, P

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:16:24.463433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37141b81-fb83-46ae-90a7-de17c9b132a1 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.881721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8720c3a-a9a9-4f0d-a030-edd999c207c0 · outbound

This paper cites GPTScore: Evaluate as You Desire.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts GPTScore: Evaluate as You Desire

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.886281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819bc111-0750-4a7a-9068-0c875e3c138a · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:16:24.302954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca8cd231-f65a-455f-9732-63d840e93279 · outbound

This paper cites Specializing Smaller Language Models towards Multi-Step Reasoning.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Specializing Smaller Language Models towards Multi-Step Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.894435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738272a5-2f70-4993-bf03-9fe03827298f · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:16:24.451857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16bb975a-12d5-4a72-8595-a889ef732df8 · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:16:24.437750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44c7c9f2-be4e-4727-ad0b-cfccecdf5e01 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.907312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042b7ef0-6531-48ab-a02f-7a72982841af · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.911482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 998d90b5-5791-4f68-a687-5212fe1a6423 · outbound

This paper cites RDRec: Rationale Distillation for LLM-based Recommendation.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts RDRec: Rationale Distillation for LLM-based Recommendation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.915712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56377ce1-3f80-4197-902e-2a3e8f8d7f0d · outbound

This paper cites Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.919964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1446a536-2c75-420b-8fd0-84642dc1b57a · outbound

This paper cites B., Sivri, M., Kokach, V., Koca c nar, B., and Akbulutl, F.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts B., Sivri, M., Kokach, V., Koca c nar, B., and Akbulutl, F

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:16:24.425219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52410c4e-bef2-4e23-b762-4407bd168623 · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:16:24.412504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec79479c-5a79-4944-bcc2-4f1f2c572b74 · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.931122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abadfc44-91a2-4bd8-a44b-b66b87c0baaa · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.936108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51337c04-f5fd-47fc-96e1-641a79f20b87 · outbound

This paper cites Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.940987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 852c7a86-9fc4-4c2b-9dc2-d11e9a612eb5 · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:16:24.400872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47045e9d-a4e6-42f3-9ec9-f03b76b54988 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.948708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb49888-144b-400e-bec3-86e666a1a41d · outbound

This paper cites Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.952564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccca3d09-914f-4bc9-9329-de3be5aa2942 · outbound

This paper cites KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:16:24.089700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c0b0b0f-c528-4e25-82ba-6c20897ac78a · outbound

This paper cites an unresolved cited work.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:16:24.389062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6778df7f-d04e-4ec2-8bbc-c928b9f71c7d · outbound

This paper cites Divide-or-Conquer? Which Part Should You Distill Your LLM?.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Divide-or-Conquer? Which Part Should You Distill Your LLM?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.964233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623d7d2f-7182-44c4-8aea-490b10b886c8 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.968706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523438f9-83d5-4509-a324-313a5d904637 · outbound

This paper cites Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.972754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c859b4-59ec-4033-875a-b626938fae9d · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts RAFT: Adapting Language Model to Domain Specific RAG

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.976754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d5414b-8201-4b1c-acf6-1a1c93d46969 · outbound

This paper cites Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.981074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069d95ed-154c-49f9-8fb8-b65a17131abb · outbound

This paper cites LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.985198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7e25bcd3-eb9d-4582-b780-a4e0c804a47f · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:32:58.923284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.