Paper Citation Record · LEDGER

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.07345.

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

pith.paper-citation-record.v1
2505.07345 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:22:45.872437Z

measured 42 of 42 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 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

42 of 42 outbound references displayed

verified exact2
verified fuzzy1
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3c3e88f-b079-46ee-bedb-ab25d6809115 · outbound

This paper cites Aho and Jeffrey D.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Aho and Jeffrey D

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.642777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e99080-90a4-456d-a260-c0a079789433 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.648969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ae7123-7c8e-416e-bbf7-d06e7814e2ec · outbound

This paper cites Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.654755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0308a408-ecf0-4b7d-8d02-2f0350ce78d9 · outbound

This paper cites NV-Retriever: Improving text embedding models with effective hard-negative mining.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines NV-Retriever: Improving text embedding models with effective hard-negative mining

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.665004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dacd38e-c21e-44d0-ab68-6eadac9217e6 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.670581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b279d4a-c50b-4925-978c-b90dc1f07ae2 · outbound

This paper cites Best in Tau@LLMJudge: Criteria-Based Relevance Evaluation with Llama3.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Best in Tau@LLMJudge: Criteria-Based Relevance Evaluation with Llama3

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.675957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f737ae94-eb07-4167-b56d-a3ed7bc8d732 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.680976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bad3944-4aa5-47ab-a2ea-d3a61e2c4395 · outbound

This paper cites The economic trade-offs of large language models: A case study.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines The economic trade-offs of large language models: A case study

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.685666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c075b9e-035a-42bc-a7fd-32ae984cb457 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.691787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3f70e3-0403-4cd2-8e0b-01d411a1eaaf · outbound

This paper cites Performance of Recent Large Language Models for a Low-Resourced Language.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Performance of Recent Large Language Models for a Low-Resourced Language

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:22:46.677742Z

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 6c256ebf-ff9d-405f-ad3d-2632a17abfeb · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-08-15T22:22:45.958052Z

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 6aac62c5-f723-4ef4-92e5-b30a8389342b · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.710968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712c7ee5-1f3d-4edf-a048-5ed135f77409 · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.717344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e60a12f-2048-4027-9183-01d179f9b947 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.723067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d42def-db97-4313-92d8-cda1217c60c5 · outbound

This paper cites From Matching to Generation: A Survey on Generative Information Retrieval.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines From Matching to Generation: A Survey on Generative Information Retrieval

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.728387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0533f9-212e-4550-9050-aeea9111f25d · outbound

This paper cites Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.733556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22af5f51-4a45-4963-b527-6e8a65eedc0f · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.739198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a36fd2b-b3e4-4586-939a-e147277f60b6 · outbound

This paper cites Fine-Tuning LLaMA for Multi-Stage Text Retrieval.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.744806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8e5680-e743-4564-9473-f44fdef260ae · outbound

This paper cites Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.749699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce606ba-49cc-4e4d-95e4-e112776a0c93 · outbound

This paper cites DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.755178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa14cd5-7a6d-419d-81a2-894bab99858c · outbound

This paper cites Document Expansion by Query Prediction.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Document Expansion by Query Prediction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.762037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53cf0233-77ff-464c-91cc-248d6bc5ee74 · outbound

This paper cites JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:22:46.446565Z

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 17293575-f4c2-4f6e-b11c-dade6e2943cc · outbound

This paper cites LLMJudge: LLMs for Relevance Judgments.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines LLMJudge: LLMs for Relevance Judgments

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.772137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cdf2646-af8b-4277-b306-d954577cb739 · outbound

This paper cites Mortensen, and Graham Neubig.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Mortensen, and Graham Neubig

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.777557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd0f00c-093f-427e-b82d-a41103713bd8 · outbound

This paper cites Improving Passage Retrieval with Zero-Shot Question Generation.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Improving Passage Retrieval with Zero-Shot Question Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.782782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ac643a-3791-44d8-872e-ba3cc7ec2ddb · outbound

This paper cites The Cost of Training NLP Models: A Concise Overview.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines The Cost of Training NLP Models: A Concise Overview

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.788270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8b5211-e813-46cd-a7a4-be27a553d542 · outbound

This paper cites Energy and Policy Considerations for Deep Learning in NLP.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Energy and Policy Considerations for Deep Learning in NLP

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.794499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57383978-650f-4999-9eb1-03c2785e837f · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.799720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5086a49a-0b0f-45d7-9462-b9f60962834c · outbound

This paper cites R-Bot: An LLM-based Query Rewrite System.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines R-Bot: An LLM-based Query Rewrite System

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.806481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba49e0af-f8f1-4d7b-8df7-8b910c80e158 · outbound

This paper cites Self-Retrieval: End-to-End Information Retrieval with One Large Language Model.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.812314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8270d59b-9077-4123-a752-6cab03450416 · outbound

This paper cites Large language models can accurately predict searcher preferences.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Large language models can accurately predict searcher preferences

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.817195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cd59ea1-9951-49ae-bf0e-2b2174b77497 · outbound

This paper cites UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.821886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ea3e9c-65c5-42da-9aea-ed9fe6bcca21 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Improving Text Embeddings with Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.827151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e844eae6-b825-420a-91a7-5e54e753de54 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.832362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bfc016e-5202-4777-b2d2-5ed86926c254 · outbound

This paper cites CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.837142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1179f4e9-4038-4d8d-8f78-c5cc07673406 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.842137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf19dca6-1672-46cd-8bc8-623b1b3ace46 · outbound

This paper cites SLMRec: Distilling Large Language Models into Small for Sequential Recommendation.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines SLMRec: Distilling Large Language Models into Small for Sequential Recommendation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.846799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8313a6a-a250-4350-89b0-999ba94ffbf3 · outbound

This paper cites HyperCLOVA X Technical Report.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines HyperCLOVA X Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.852016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f98ad1c-29e8-4e56-bfd4-e73298cf7592 · outbound

This paper cites an unresolved cited work.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.857345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3f82a81-6334-45d7-8e85-98be6def94ab · outbound

This paper cites Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.861981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec21c19-d124-4c4e-90cd-57afbb5ab9f0 · outbound

This paper cites online" 'onlinestring :=.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines online" 'onlinestring :=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:22:46.917295Z

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 0025a292-3f01-453b-83ff-701237f6dbe7 · outbound

This paper cites write newline.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.872437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.