Paper Citation Record · LEDGER

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.23078.

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

pith.paper-citation-record.v1
2505.23078 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:48.604898Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy8
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65ece47f-5898-4384-8912-ab1726b6d6de · outbound

This paper cites an unresolved cited work.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:58:50.398829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54e1825e-e415-4e9e-97c1-a5c12c5a68bb · outbound

This paper cites In Proceedings of the Eighth Conference on Machine Translation , pages 756–767, Singapore.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Proceedings of the Eighth Conference on Machine Translation , pages 756–767, Singapore

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:50.301452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 882951ee-b7bf-46a4-a5ef-d5b57516cd2f · outbound

This paper cites In Proceedings of the Ninth Conference on Machine Translation, pages 1063–1094, Miami, Florida, USA.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Proceedings of the Ninth Conference on Machine Translation, pages 1063–1094, Miami, Florida, USA

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:50.184943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dd86c2a-f070-4d92-863f-5c57962219d0 · outbound

This paper cites In Proceedings of the 61st An- nual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers), pages 223–241, Toronto, Canada.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Proceedings of the 61st An- nual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers), pages 223–241, Toronto, Canada

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:49.626377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d725f798-5f59-4949-91b8-42ee2f407c81 · outbound

This paper cites GPT-4 Technical Report.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:48.089614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ecea51-f41d-44b1-9f39-06d314c06789 · outbound

This paper cites In Thirty-seventh Conference on Neural Information Processing Sys- tems.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Thirty-seventh Conference on Neural Information Processing Sys- tems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:49.354441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2cc224ce-97fb-4208-a204-b9c5ec103c97 · outbound

This paper cites From Pixels to Prose: A Large Dataset of Dense Image Captions.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport From Pixels to Prose: A Large Dataset of Dense Image Captions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:48.258130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62293a23-8f64-449c-ad25-dd3bc30162d1 · outbound

This paper cites People Swim- ming in the Swimming Pool.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport People Swim- ming in the Swimming Pool

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:49.099480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8048dbb-adca-4f4e-bbfc-6d927beeafe7 · outbound

This paper cites an unresolved cited work.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:58:48.846845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf21766d-efba-4136-bcdc-7f41a122e5c7 · outbound

This paper cites In Proceedings of the 2004 Conference on Empirical Methods in Natu- ral Language Processing, pages 230–237, Barcelona, Spain.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Proceedings of the 2004 Conference on Empirical Methods in Natu- ral Language Processing, pages 230–237, Barcelona, Spain

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:49.898705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 199f61d4-5ab2-46db-9cd2-82fbb60dfef8 · outbound

This paper cites International journal of computer vision , 123:32–73.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport International journal of computer vision , 123:32–73

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:50.061504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4979e37-6767-4379-a705-ba787e9c2b64 · outbound

This paper cites In Findings of the Association for Com- putational Linguistics: EMNLP 2022 , pages 3414– 3427, Abu Dhabi, United Arab Emirates.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport In Findings of the Association for Com- putational Linguistics: EMNLP 2022 , pages 3414– 3427, Abu Dhabi, United Arab Emirates

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:58:50.529934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85b850fc-c786-426e-b673-d87501882cf5 · outbound

This paper cites The Llama 3 Herd of Models.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport The Llama 3 Herd of Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:47.377150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b4c0ce-8286-465e-abc7-8ed6227b1ad9 · outbound

This paper cites FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMs.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:47.420107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac9e9f7-65c5-48c6-8327-b74e5fac6e18 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 6284

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:48.350750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.