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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.550503Z digest=sha256:a24630e6a61b1b6b4d4de7de4a07ba4220f7a4c9a47dcee58ceba502ad960b14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.635017Z digest=sha256:67c365671a3224b1a0c84aabc6655afeb5692b7e80390d4ea0ad00da1eb2fd7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.757823Z digest=sha256:e75f68092dc8f1a8080a7b3cbfb555d33b9f38b82eab268c2aa609648854cab5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:48.017232Z digest=sha256:3b8519e43260bb467f002088224655ab13124e24f1d7e78ca92deae06e58f314

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.

source=pdf_text observed=2026-08-07T12:58:48.089614Z digest=sha256:dee01ee22b605f462423fdb0a75289fe8eb11a132f16428f8db6f69127a9f56e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:48.147745Z digest=sha256:86ba945cb33abbe2fa005c8fb1313137a167381a035f66f23ae1e50a9425e582

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.

source=pdf_text observed=2026-08-07T12:58:48.258130Z digest=sha256:dfc7b220364005ef63445ea343f436e54c52f027b700747f777504a977446ff4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:48.482013Z digest=sha256:50cbee4085214942f1b3dba16ab4ca4c8b2b67acf2ac33af29ff5c11ca440ade

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:48.604898Z digest=sha256:a139df94d5130b09a3dd957733c1ba6fbd3bc533308f0ec04ffabb96256aace0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.955231Z digest=sha256:9078e3cfdc471ceb40ed69aea4f1d0461300fc10b5129d93ab0499f4bdd94c3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.850581Z digest=sha256:03d90ad972470c40f807b694e70ddfd6130a0d0195bff76d1c4cac2f634a9a39

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:58:47.476746Z digest=sha256:67233110f7b26af78c13efcc5bf9aab0061b5991302ad24a07b257205ed63fbd

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.

source=pdf_text observed=2026-08-07T12:58:47.377150Z digest=sha256:ea9b04b4e2d0291c61cb4fafd91e644ee4be10273b49117bc5caf889a6b6ac43

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.

source=pdf_text observed=2026-08-07T12:58:47.420107Z digest=sha256:a280c5d837b2988f36c40f425245b0312714bb5d08eb8b18f3c3590b06bfcaac

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.

source=pdf_text observed=2026-08-07T12:58:48.350750Z digest=sha256:cbb0a08742ab480a20932f31c856ac141f82642a6af9c85342a8b7ee48f4ed0f

Pith citing papers

No inbound Pith citation observations are available.