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Paper Citation Record · LEDGER

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.05924.

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

pith.paper-citation-record.v1
2606.05924 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:14:05.795955Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58741e9d-87a7-411b-8e0e-2d201412b8e9 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 1

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:5e44eb6b16e3f2bd4a6fd395bfc1675c4c4217597878f6d31d4d9f1caed6c894

Observation 819ebe2e-e9d4-456f-ba41-31b11ecf903e · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Transactions of the Association for Computational Linguistics , volume=

Reference 2

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:c20fd5b52f69f0954b2a1da9cd2f4b1c796954ae62f14a681fe286ff66a8ad49

Observation aac609b8-7dff-404c-838b-0c92d3c10c1c · outbound

This paper cites ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning

Reference 3

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verified exact
arxiv_id, observed 2026-07-02T12:16:57.468780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:31fad37a137d611c78cebf159988690a451d2ab826671b33548bf19d92389698

Observation 562fcd38-8acf-4a7a-a3da-c11b0c0ca69f · outbound

This paper cites Advances in neural information processing systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in neural information processing systems , volume=

Reference 4

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:ee34eebb7523c29bf4386d891f53862c163b3c579d6cd245cecc320c73c2538d

Observation 1f9f676b-d236-4419-9939-422273fc66fc · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 5

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:19aa17009011c70825479b7b1bd72de990a4b92ed19842b6e5e7355159e4dd1f

Observation 8bfaf7d0-b94d-4f5b-a30b-6e473c9343ab · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in Neural Information Processing Systems , volume=

Reference 6

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no resolver link, observed 2026-06-28T02:14:05.795955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:ec1c8ef02a4bcb7ba03fc8ffe495c5aa32f93a8d7bcc8cae85805fa1da61bc4b

Observation 98c3a4c6-fa48-4a64-8d64-6b14c57f78db · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 7

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.461023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:1c894add4847049b2b16fb97a043c9635b319c4a3fe141d317ad0fb808f0f5b8

Observation 1fbd54b5-6c41-4756-8eb0-e2e5eeb3fcf7 · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 8

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:81102e632714fe432327016888c71f37c1e7138806d6f960994650c761a30427

Observation 666e5c3e-561b-4b29-af65-a439ded82398 · outbound

This paper cites Hashimoto , title =.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Hashimoto , title =

Reference 9

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:a6be120c6ccd44eb761e705df6ca8e6a2158140c865470b36d2b78b45880dbbf

Observation 731edc0c-6403-4bb6-9313-e8ff7d327cd7 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach The Twelfth International Conference on Learning Representations , year=

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:bd535976062b0f7b904c5c6109866ec0170b36dec7b47d3374ae54f27b45147e

Observation 98e763e8-fe05-4b89-8679-7aa473f28477 · outbound

This paper cites Advances in neural information processing systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in neural information processing systems , volume=

Reference 11

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no resolver link, observed 2026-06-28T02:14:05.795955Z

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:6bd39ef8e6e30d2e453427bd747c343dbed5db4b545f16b303b8f7ad3f46e768

Observation c8a38a0b-7bca-4e70-b9db-7182ac64537f · outbound

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

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 12

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.452667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:aed6d28163bdb252125f358d367139b95f852740f123e709f70a110568749903

Observation e7a50983-b352-4a86-98e4-fa63a8581bed · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 13

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no resolver link, observed 2026-06-28T02:14:05.795955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:c59db77e3735b7f72d0c7ceb4346eb7720d82e699802d36ccf3cc77126f21968

Observation 7034276b-1347-4f40-8a99-75b3f099de36 · outbound

This paper cites Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM ^2 ) , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM ^2 ) , pages=

Reference 14

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:9fb638ad46a5ea4c7ef8e3907b901def83418502d8f3e339a83ff0e33dae2dd0

Observation 0a9d563b-7678-4469-adec-3c50e733126c · outbound

This paper cites Qwen3 Technical Report.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Qwen3 Technical Report

Reference 15

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.458093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:2abe3e9f25015cb49ed17d40a68fe12c3959cd2af1fd2a5aa9107b85899e6595

Observation 47fed01a-14d0-46e8-b8f8-21f5b32bc30e · outbound

This paper cites an unresolved cited work.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:fa61d6b9588f26e5cabb44837f5e63228fede92659099c902da81d799fcd9e93

Observation d6d2c682-855c-4ea8-a69c-41078b835626 · outbound

This paper cites the method of paired comparisons , author=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach the method of paired comparisons , author=

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:9f66314680c3f49ec24001cdce123f2cea305eb0465034e6458b1c9fe24425e9

Observation e82c3511-465e-4187-81ff-f024f4b031b6 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach A Call for Clarity in Reporting BLEU Scores

Reference 18

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verified exact
doi, observed 2026-06-28T02:21:29.234481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:0b179c54b7f4d2de29715b63c568f8024d14d3f13968e477eda3c31cbd38983e

Observation 6d109863-ad06-4b89-9140-1535d048bd3d · outbound

This paper cites Advances in neural information processing systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in neural information processing systems , volume=

Reference 19

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no resolver link, observed 2026-06-28T02:14:05.795955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:a561827a6a2da9bc0f9c06e9e76bcf1c40bad522270e4aa4646b489c31fa9e64

Observation eb674330-eaa7-4ffa-8f99-b982316ad157 · outbound

This paper cites Large Language Models Are State-of-the-Art Evaluators of Translation Quality.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Large Language Models Are State-of-the-Art Evaluators of Translation Quality

Reference 20

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:6cba606589f1ac1ea4d6f5521d792c79a04d5f7de520fac3e4a394b2df38be7a

Observation 0541e3eb-bb6e-4c63-9fe8-6cede9193e54 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Distilling the Knowledge in a Neural Network

Reference 21

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.447349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:c243dec6811b87343d1335c0f8be04f94cd98558e2c9c9965a87f70f12ff5667

Observation 52b525f5-f381-4134-900c-49298ef7124a · outbound

This paper cites Proceedings of the qualities of literary machine translation , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the qualities of literary machine translation , pages=

Reference 22

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:ea0171ddffedb5a669195b0946e1d1e10da877f5841cc2225b21eaa7c230b991

Observation afc66304-9ec5-4b16-8511-2a67d9a3e125 · outbound

This paper cites Translation Spaces , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Translation Spaces , volume=

Reference 23

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:d86f08b965a47bac690cd5af2f414e91edbbfc7013bc7b0b1c93bc783b2d28e5

Observation ff8641ae-cd66-4f09-a875-a6c3aac798dc · outbound

This paper cites Findings of the WMT 25 general machine translation shared task: Time to stop evaluating on easy test sets.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Findings of the WMT 25 general machine translation shared task: Time to stop evaluating on easy test sets

Reference 24

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doi, observed 2026-06-28T02:21:29.233942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:65024e6becc29bf473020817a5828c7ba66be16b0a4639ee2c7705a3f743dc6a

Observation 01172f58-254f-46a6-94f5-5eb2b3f87ba8 · outbound

This paper cites Proceedings of the Ninth Conference on Machine Translation , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the Ninth Conference on Machine Translation , pages=

Reference 25

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source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:0778113daf504598500c2b308874f69d6468248a784354159fc64266ccc1087b

Observation 229b061b-75be-4e99-9787-9bd27aa30ca2 · outbound

This paper cites Advances in neural information processing systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in neural information processing systems , volume=

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:9843b5f10f5854bcd545d48c68093be9ffa8fe8d98c10f97bc6e8ddaf4a63a88

Observation dcf255ee-4177-429b-91d6-38255cd19135 · outbound

This paper cites First Conference on Language Modeling , year=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach First Conference on Language Modeling , year=

Reference 27

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no resolver link, observed 2026-06-28T02:14:05.795955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:3de3b243f2ddeb0167324a18f563f9226c8d1715dfbecdf9f7d8a30094475c99

Observation f80c45cc-a411-4c4c-bd16-b09c0418a12b · outbound

This paper cites Proceedings of the Seventh Conference on Machine Translation (WMT) , pages=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the Seventh Conference on Machine Translation (WMT) , pages=

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:5718c16a98ba032f763d424da0d3b23d63cc9f77ae96d650a6cf5a5deef27d3c

Observation 1d99e134-34b0-421b-93f3-fff1443aedd4 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:087fc7c9b598a6d3f324c1db04a57f2239f0e9b9985eded23853ce598fa7d7e3

Observation ce704a74-df1b-4db9-9336-b6f9ef98ab47 · outbound

This paper cites Advances in neural information processing systems , volume=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Advances in neural information processing systems , volume=

Reference 30

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no resolver link, observed 2026-06-28T02:14:05.795955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:6d612a672a4f00426454ef2d7aee13c23a52d7cd928c4f9df4d05677ee01cf42

Observation 67eda076-6662-4cce-8e25-7c3a5a4ed0e4 · outbound

This paper cites DeepSeek-V3 Technical Report.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach DeepSeek-V3 Technical Report

Reference 31

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.466113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:5d2cc8f2412ddf3159120daca172247194f7f580ee973fec1147291132d38afe

Observation 725f5ee1-94ee-4ce0-84c1-bd9ee335129b · outbound

This paper cites The Llama 3 Herd of Models.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach The Llama 3 Herd of Models

Reference 32

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.463782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:f143da77af73ee25d9b8ea2eceed55ef51da59bfb1a315f24838566ab5cec524

Observation f0d57e86-3115-4b89-828c-0074f33941e6 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach Kimi K2: Open Agentic Intelligence

Reference 33

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.455261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:e1ea18275e301086e2626062433e878b278269e69d1719c03d2948ac24f1b595

Observation 01ee1575-ea17-44af-8ec0-447ccfdbd384 · outbound

This paper cites NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs

Reference 34

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metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.445020Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:d619b2438007694fc14d041eae5efa1df414d58ec49fa54127b7055bdf0661e5

Observation 2f0817b1-82a1-4aed-8bfc-3fe78f12c64d · outbound

This paper cites 2025 , howpublished=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach 2025 , howpublished=

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:62265fbe18b3aac2c0127e1f30400c5638b8a470899b1185debbb64f80c28a4b

Observation 630366ec-ac3e-4eef-983b-b358213ac01f · outbound

This paper cites 2025 , howpublished=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach 2025 , howpublished=

Reference 36

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no resolver link, observed 2026-06-28T02:14:05.795955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:1774ba2b0a7c1dad084df7df29a0321f5a498e2dd1f1909b356b3ba4b3dca276

Observation 706c442f-971e-463e-8926-357950bb293c · outbound

This paper cites 2025 , howpublished=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach 2025 , howpublished=

Reference 37

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no resolver link, observed 2026-06-28T02:14:05.795955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:e2c8f03d0c3b8f06268343170cc789665610ddd3cef69afbce1329c772125b2f

Observation fc175d2b-87a4-4d21-a128-e785d2c83dc3 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach gpt-oss-120b & gpt-oss-20b Model Card

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T12:16:57.449809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:efb6e8644f923de075fcc3c12a540ab0eb2841a88a1bd42b53becad77575847e

Observation 67813574-9f3a-4407-84e7-898caa654482 · outbound

This paper cites 2025 , howpublished=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach 2025 , howpublished=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T02:14:05.795955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:0902eb89c9c5af569fac04eb90a3f13412c73806795aaae872a181a8f0080a05

Observation 62915e80-26af-4fcb-bfe1-b00aba60930c · outbound

This paper cites 2025 , howpublished=.

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach 2025 , howpublished=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T02:14:05.795955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:1e1617fba54aebb8ffffa2c1ea0e6b29389b47eefcf901a074ff5b3cb2d43b0a

Pith citing papers

No inbound Pith citation observations are available.