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Paper Citation Record · LEDGER

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation

As of 20 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2508.08680.

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

pith.paper-citation-record.v1
2508.08680 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:52.153779Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved5
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ab0b3e-82dc-4e12-8c58-59ca45edc0ac · outbound

This paper cites Association for Compu- tational Linguistics.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Association for Compu- tational Linguistics

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:52.346564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:52.123707Z digest=sha256:afc2859e6da649f51599ea6c9b44ca9eddef311277799afb8456cfc5ae4bd78b

Observation 53277297-4c52-449f-8591-3d4118d287b4 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:52.148848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.148848Z digest=sha256:51a2d5159a0ee28966a407ecf00e2513583bd0fc4f45c4b779d8b43c3986d6cd

Observation 7e538db8-8b5d-4072-95e5-9af7eba239e1 · outbound

This paper cites Lugha-Llama: Adapting Large Language Models for African Languages.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Lugha-Llama: Adapting Large Language Models for African Languages

Reference 1901

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:52.133608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.133608Z digest=sha256:92cbffeffb7c234aad3637ea87471b160beb61b7069337090df85a0e3331a963

Observation fc7bb446-463c-4e58-8917-df1758c47e8c · outbound

This paper cites Gemma 3 Technical Report.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Gemma 3 Technical Report

Reference 2016

Resolution
malformed identifier
no resolver link, observed 2026-08-15T17:39:52.153779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.153779Z digest=sha256:191a70ef4deb945e6455a3983de0a5e762e0c3a5ba17e6175bb8366c480ab782

Observation 731d5cae-ef44-430e-b9a9-aed5d6e9b971 · outbound

This paper cites InProceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), pages 53–63, Florence, Italy.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation InProceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), pages 53–63, Florence, Italy

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:52.137836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.137836Z digest=sha256:08ffdb48cfe61e66f0d957cc43120d5cb5017be6dae278d3b6c09a28ab24ca38

Observation 79b48c7b-0f72-4d08-9a07-ab199333ace3 · outbound

This paper cites Building Machine Translation Systems for the Next Thousand Languages.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Building Machine Translation Systems for the Next Thousand Languages

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:52.128472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.128472Z digest=sha256:5d6a6543fa81edf114937b59289fecb61e2f0077c2bfc14c7e3c8f8451bd4c71

Observation 9981c25b-c070-401b-a317-c163ed2c34a7 · outbound

This paper cites Textbooks Are All You Need.

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation Textbooks Are All You Need

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:52.141710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:52.141710Z digest=sha256:0beacfe65bc8a493bb17ef3eef63576d676db7a8bf9127daadc5e8a949ade4b1

Pith citing papers

No inbound Pith citation observations are available.