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Paper Citation Record · LEDGER

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2502.00634.

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

pith.paper-citation-record.v1
2502.00634 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:21:56.162784Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:43.120451Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:52:43.261800Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved13
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63fbcd50-4f3a-4355-8ac0-c7d21d9fac25 · outbound

This paper cites GPT-4 Technical Report.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-09T18:21:56.050169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.050169Z digest=sha256:172f16199f5441eb541421983552444fb7c5ab895d2a9e2ea9373a23ef04903a

Observation 5eaa29a8-fdc2-460a-bf8c-da1ca88ed25b · outbound

This paper cites Besides, the score distribution shows that most of the GPT-generated translations scored 4 or higher.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Besides, the score distribution shows that most of the GPT-generated translations scored 4 or higher

Reference 5

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raw_fallback, observed 2026-08-09T18:21:56.506652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.153866Z digest=sha256:b420417de14e2413eca254353bf908569b95aea03f5e8218c683cffa3b20086b

Observation eaba53ec-edf8-48bb-bf48-3fe14eaf8481 · outbound

This paper cites Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings

Reference 6

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verified exact
local_arxiv, observed 2026-08-09T18:21:56.444950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.067781Z digest=sha256:5e498261e3e2b9d49a43716da483b7988f31606b47472c574c40e766aaabcf48

Observation a4fead28-6af6-4693-b209-e7f25838bd21 · outbound

This paper cites Efficient Wait-k Models for Simultaneous Machine Translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Efficient Wait-k Models for Simultaneous Machine Translation

Reference 8

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no resolver link, observed 2026-08-09T18:21:56.074477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.074477Z digest=sha256:4823f6c4f944e4dda3e823a0c451f6e8081b5e586773e6fe8b3fc35888fc298c

Observation ff9c2585-b2f8-4b40-ae54-d8ab07f82736 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation KTO: Model Alignment as Prospect Theoretic Optimization

Reference 9

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no resolver link, observed 2026-08-09T18:21:56.077902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.077902Z digest=sha256:b61b1b8f963a59303464167880c412a42cde624405a3b6c082fba7edc6d98b89

Observation f39b8180-6915-40fe-b6f0-bbf6a29a9ab2 · outbound

This paper cites Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.621197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.081153Z digest=sha256:3a1424a3c3136edb3350598d7769a70b53d4191d1e1c3a8d26a95c3b41f93073

Observation 56be00f3-4d0b-46c2-9b61-36361b8e06d5 · outbound

This paper cites [INST] <<SYS>> You are a professional translator.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation [INST] <<SYS>> You are a professional translator

Reference 13

Resolution
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raw_fallback, observed 2026-08-09T18:21:56.480132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.162784Z digest=sha256:805e5bc417c94019677772a11b952dbdb4311e9b7e1003530c0395767b374604

Observation d193b40d-bb8a-4dc6-90b7-c540a4f1cc73 · outbound

This paper cites Preference Transformer: Modeling Human Preferences using Transformers for RL.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Preference Transformer: Modeling Human Preferences using Transformers for RL

Reference 14

Resolution
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no resolver link, observed 2026-08-09T18:21:56.094516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.094516Z digest=sha256:01a502a9273d22ee9e37c6d387cb8d9b4c8f1f356e469091a59f4d0123c852e1

Observation 4b03c6de-1ac0-4b35-b4e3-a4bbd3da3782 · outbound

This paper cites Findings of the 2022 conference on machine transla- tion (WMT22).

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Findings of the 2022 conference on machine transla- tion (WMT22)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.604358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.097992Z digest=sha256:751e4b2ae8be960122365d244676cc7d3e556a124ac28872a98142eb42c5e6d1

Observation 072593b1-444f-4a2c-9da1-e2ab8929abcb · outbound

This paper cites Expectations of users of conference interpretation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Expectations of users of conference interpretation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.570219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.111518Z digest=sha256:284f933f9d10648df3cf7ddb74bb5c9199eb19e1d78bf942489ec404a0a92df3

Observation 5919e0e6-9054-4882-822b-42af4f2dac01 · outbound

This paper cites Disentangling Length from Quality in Direct Preference Optimization.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Disentangling Length from Quality in Direct Preference Optimization

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.118350Z digest=sha256:dbc40569393e1c2030935018071674528745a8437505cff9c30c76778816901e

Observation f630f8a7-98a0-4e94-8879-e077d164507c · outbound

This paper cites A call for clarity in reporting bleu scores.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation A call for clarity in reporting bleu scores

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.551912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.121922Z digest=sha256:9a9bd032efc343f316d0d813e4fe6325cb5fa836dc3303ad92b4d6d90876a695

Observation a43dc3d9-94d2-4b63-999d-7f2855dc0b11 · outbound

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

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:56.125240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.125240Z digest=sha256:228c779b7fcac3b4e81bc4d9b56a7c39994cba48b6c581af779b79e07174911c

Observation e6a759bf-3fa5-4ade-b879-34f9f765e988 · outbound

This paper cites Simultaneous machine translation with large language models.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Simultaneous machine translation with large language models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.128843Z digest=sha256:3c0a9a8dfc9fdfef387c033240e841ae2c805b88c469af2e01cd1fec1b96fe84

Observation c0996dfa-091d-448f-8ce5-29f73372b4f9 · outbound

This paper cites Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 25

Resolution
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no resolver link, observed 2026-08-09T18:21:56.131995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.131995Z digest=sha256:3b98c625dae51d4a3eaba06c2c553388ad8cb14f330735224c1e35f941542662

Observation fdc8287a-088f-4206-a525-46e49d17571e · outbound

This paper cites Self-modifying state modeling for simultaneous machine translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Self-modifying state modeling for simultaneous machine translation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.542672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.135179Z digest=sha256:511255391e3097f711e578ece58ebbcd6e3ab6faa8a531d47d8fe4384fb9395d

Observation b74fa575-516c-44aa-8fa3-6c3faa548aaa · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 27

Resolution
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no resolver link, observed 2026-08-09T18:21:56.138237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.138237Z digest=sha256:0de44f146b9085e0502062f4a9702c5e0de8d2e5f4f0c32cb32f6026ac9451c5

Observation 67b8dca2-9eca-4937-aee6-a69da5390456 · outbound

This paper cites Information-transport-based policy for simultaneous translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Information-transport-based policy for simultaneous translation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.533974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.141568Z digest=sha256:c45ab8793a86cd6a39254f41e7dce6252a907c055319f4112fb3a41ec07e80a5

Observation 54d8324f-0376-4db5-adbf-f7458d62934d · outbound

This paper cites Hidden Markov Transformer for Simultaneous Machine Translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Hidden Markov Transformer for Simultaneous Machine Translation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:56.144540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.144540Z digest=sha256:12598041204065549f427bffa966a5ecc5ae14e4aaf0e2423db0545ea58b5f6b

Observation cccb7e7d-224f-4f3c-8420-929a12f81a7e · outbound

This paper cites User: As the speaker speaks, you need to: 1.Interpret the speaker's Chinese sentence into fluent English for the audience.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation User: As the speaker speaks, you need to: 1.Interpret the speaker's Chinese sentence into fluent English for the audience

Reference 31

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T18:21:56.515383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.150682Z digest=sha256:f146fe11d52bd5de2ebd03e08bf433afb1535eaaf65313c5585516baa859be8b

Observation cdf578b4-9fbb-402a-be76-88e451a28106 · outbound

This paper cites We use the instruction-following format to guide the LLM in completing the SiMT task.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation We use the instruction-following format to guide the LLM in completing the SiMT task

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.497866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.156972Z digest=sha256:34d02609537e9258648961f794f0c2f4040bd83517033e4e52aa590dd9d3b86d

Observation 7e308548-94ed-4ee3-a9dd-fcaadb8a3736 · outbound

This paper cites (2020b) to apply greedy search during inference.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation (2020b) to apply greedy search during inference

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.488806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.159850Z digest=sha256:fbf70aba36cf261e16c11b6634549af7e343177c76c12b428232b5ef704be8e6

Observation 28e182a4-c8fa-4130-9354-845d85ae0b3e · outbound

This paper cites LiveMind: Low-latency Large Language Models with Simultaneous Inference.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation LiveMind: Low-latency Large Language Models with Simultaneous Inference

Reference 1952

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:21:56.456677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.064318Z digest=sha256:fb16c81232896e0e376853bc3cf05621dacaaa9915ab7e73e71166b8e3cf2bb4

Observation 9aa961b9-4abc-40d2-bbd6-130ec9a0a23e · outbound

This paper cites A generative framework for simultaneous machine translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation A generative framework for simultaneous machine translation

Reference 1985

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.578787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.107742Z digest=sha256:7cc4334af05e86834bc3c7dad6826d96ea86aa365f9ef77a138dbcfd8f27676f

Observation 90f795d9-3fce-45d3-8f13-d8d64d3e216a · outbound

This paper cites fairseq: A fast, extensible toolkit for sequence modeling.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation fairseq: A fast, extensible toolkit for sequence modeling

Reference 1996

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.561262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.114972Z digest=sha256:c15751ae3a3e6367a44c71ff72e6545b51f85ce3b4248d108611ea44b6aa37a6

Observation e84cef3e-195b-4d78-98f6-c7973149ed60 · outbound

This paper cites Cross attention augmented transducer networks for simultaneous translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Cross attention augmented transducer networks for simultaneous translation

Reference 2001

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.587273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.104593Z digest=sha256:5da92fea5b6feb2bb799b1c9fb7fea514860ace5b239c33a8f00a2b6db816f6f

Observation 318977b6-5ec7-408e-81c6-6bd5f16e3f3a · outbound

This paper cites Taking Zh→En SiMT task as an example, our complete human preferences prompts are shown in Figure.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Taking Zh→En SiMT task as an example, our complete human preferences prompts are shown in Figure

Reference 2010

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.525048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.147610Z digest=sha256:60198ac53e78402baf6db891a1ef7f36a251513c661deda2bbef21430bb1ea11

Observation af12823d-8b09-4870-88e0-768b7eb16f4f · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:56.060914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.060914Z digest=sha256:d9d4a21f0c737d2fa91a6c27877fb28acd15886686b627ae42f80f2a69ad32c3

Observation 4b931dca-47e9-48e9-b786-2088ebd5daec · outbound

This paper cites Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:56.091017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.091017Z digest=sha256:0abe1b759e84af65e13620a5e2c22326d799905ac4494637c3c7e553de5afc6c

Observation 14af2a1d-bbbe-4afc-acf7-d0801d56c989 · outbound

This paper cites Simultaneous Machine Translation with Tailored Reference.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Simultaneous Machine Translation with Tailored Reference

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:21:56.410827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.084243Z digest=sha256:a43beeb7039c30222b23b6d2678a507638b86883e6010b0e92d283dae99a1753

Observation 82717164-6059-4a97-bea9-d5493dd7483b · outbound

This paper cites Can neural machine translation do simultaneous translation?.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Can neural machine translation do simultaneous translation?

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:56.071105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:21:56.071105Z digest=sha256:cf127c49fbc4fcb887d6f5fcf36bd0abf4748ec7dd19f9193786200690a898b4

Observation 519bd7d1-6e08-4fd4-aa3f-32e5bc538a85 · outbound

This paper cites Quality of inter- preting from users’ perspectives.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Quality of inter- preting from users’ perspectives

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.629418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.057497Z digest=sha256:cd0a9bd49cd06142cb88656c7d461a0359c7da059229a105828532a1afe89f00

Observation 4956c601-09d8-403c-a686-b58325ac10c7 · outbound

This paper cites URL https://aclanthology.org/2022.wmt-1.1.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation URL https://aclanthology.org/2022.wmt-1.1

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.595991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.101432Z digest=sha256:ef57d02af8d8058a8908224292cb8a0cb22e923bec9686663df6d07d816dad0d

Observation c0d9d8f9-b57c-40d1-b2d8-c9e9dbf85e62 · outbound

This paper cites Interpretese vs.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Interpretese vs

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.612564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.087837Z digest=sha256:2d2b445507f2360d290edda54e1b87bcc84e4b88787c1ee73a2dd74900dfdde6

Observation c83dc9e1-169d-4d1c-af04-eec2f7e61ef4 · outbound

This paper cites Translation-based supervision for policy generation in simultaneous neural machine translation.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Translation-based supervision for policy generation in simultaneous neural machine translation

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:21:56.638046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:21:56.054467Z digest=sha256:936d10e304a915ab630233ea2a4a04010844a65b1704e9911b4a21189db82dee

Pith citing papers

Observation 31466a44-50f8-4ad4-9fb4-53d8da3e18ec · inbound

Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice cites this paper.

Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice SimulPL: Aligning Human Preferences in Simultaneous Machine Translation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:52:43.266647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T14:52:43.120451Z digest=sha256:f3f1c66b895b8d7b62d3c0b92b3e3aa9f7c0957a47b79c8072cf31f7beb7ffe3