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Paper Citation Record · LEDGER

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

As of 22 July 2026, this Paper Citation Record lists 5 of 5 outbound references and 2 inbound Pith citation observations for arXiv:2511.07003.

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

pith.paper-citation-record.v1
2511.07003 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:44:57.222772Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d424e25e-aed7-4bad-9020-3d4f9d239ff8 · outbound

This paper cites An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT).

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:45:30.642384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:17cdb153f993f1c7ea4c7beddaf8b3a6701deb635c533b594b22a7f8026b41aa

Observation 05d79e7d-2b5a-4490-b112-262cd2cb96a2 · outbound

This paper cites Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:45:30.636529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:8b734428db0b95200582e23cfa2cd18af6e1ad126b17ac35bbce4016ea9f8773

Observation 3d672260-3fdc-4fa1-b0d5-f7690328988c · outbound

This paper cites InFindings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, Au- gust 11-16, 2024, pages 7175–7187.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs InFindings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, Au- gust 11-16, 2024, pages 7175–7187

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:45:30.935173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:f2b07f98a597bae81db94856497eeccaa64f49195b6ccc59b29da923323d2de7

Observation 445ed889-bfc3-4e69-b4be-01b7bbe84c58 · outbound

This paper cites Skywork: A More Open Bilingual Foundation Model.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs Skywork: A More Open Bilingual Foundation Model

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:45:30.648555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:e8064922ecd6c00799a8597780ad2ea6897c6fba8fba5ccca0e8c44310715c81

Observation a374fd8b-b441-4453-b49e-e3931dd95fd7 · outbound

This paper cites WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages

Reference 5

Resolution
malformed identifier
arxiv_id, observed 2026-05-17T23:45:30.653953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:e6eac3568e4212a1cd4f9741128ba33ea061edbf2b62856d0aad15c3bfb5e075

Pith citing papers

Observation ea4f4014-dbb1-4ba7-882b-da2836b6fe7a · inbound

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories cites this paper.

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-10T06:56:47.011328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-10T06:53:20.673245Z digest=sha256:7a0de6f62ad81561f995dc9b601d18c05a967b8e283bf31b03e799f77a5e8a95

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

Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach cites this paper.

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-06-28T02:14:05.795955Z digest=sha256:b203d76e95f800921c049552b09530808a052bf44fbad2eb60bb7556cb2ca7f6