Paper Citation Record · LEDGER

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.04516.

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

pith.paper-citation-record.v1
2506.04516 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:29.478802Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy5
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9226f2ed-285f-499c-8b54-89642813e44b · outbound

This paper cites Qwen Technical Report.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.418509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ecdb3c2-785a-4f19-b4c7-61375d48c936 · outbound

This paper cites an unresolved cited work.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:45:29.676343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b99b0f8b-3733-4fb6-98e9-5840fd18e46d · outbound

This paper cites In Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023), pages 47–58, Association for Computational Linguistics, Toronto, Canada.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation In Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023), pages 47–58, Association for Computational Linguistics, Toronto, Canada

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:45:29.665429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d7194cc-4f0e-4c62-8254-307f584338b2 · outbound

This paper cites In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2511–2522, Association for Computational Linguistics, Singapore.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2511–2522, Association for Computational Linguistics, Singapore

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:45:29.653089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1a9e08b-3b40-4a88-9a84-78596de9be01 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 6676–6689.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 6676–6689

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:45:29.641370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e8e2ebf-6531-475d-bb00-6bf8aa43e261 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.449317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bbdcfb7-aff9-4120-a5b8-d6fb72cf9055 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Gemini: A Family of Highly Capable Multimodal Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.453296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd3b0e7-fa02-4121-acdd-a790ba183384 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.456998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0e429d-f617-4079-b6c2-8840365f6793 · outbound

This paper cites In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10967–10982.

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:45:29.629733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 747f1197-3964-4336-9b24-f34bd20d8f05 · outbound

This paper cites In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 11826–11830, IEEE.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 11826–11830, IEEE

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:45:29.618270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b8cc5e9-7e53-45bc-95b9-8077c3290b90 · outbound

This paper cites Towards Universal Paraphrastic Sentence Embeddings.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Towards Universal Paraphrastic Sentence Embeddings

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.460832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e810689-f22d-4653-a58f-fdacbf78d7ee · outbound

This paper cites Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.431552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6f68b8-951c-4ea9-a149-f4e78a3710d7 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation BERTScore: Evaluating Text Generation with BERT

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.475262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beccc6f2-c658-4ed1-aa6e-f75884f0978f · outbound

This paper cites an unresolved cited work.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:45:29.605183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a84318d6-3bff-4efe-ba46-f6bd933c0c73 · outbound

This paper cites GPT-4 Technical Report.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.412872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f18d216-5bc8-4acc-8216-0e654e64226a · outbound

This paper cites Constrained Multiview Representation for Self-supervised Contrastive Learning.

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation Constrained Multiview Representation for Self-supervised Contrastive Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.422352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ae1110-5f07-4c18-b92d-48bb9276d717 · outbound

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

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:29.435388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.