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Paper Citation Record · LEDGER

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2412.20584.

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

pith.paper-citation-record.v1
2412.20584 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:19:48.273494Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:23:01.961159Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f56b777f-df4d-45e4-8e31-c66f9fad2dcf · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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unresolved
no resolver link, observed 2026-08-10T23:19:48.150124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.150124Z digest=sha256:389b8dc3b5fd7c764e6c562921b850789ebf8ac8f88339deaab2fe7b1b78830b

Observation 4cae5e0f-2ead-4d77-8540-69b3a31c4f63 · outbound

This paper cites Language models are few-shot learners.Advances in neural informa- tion processing systems, 33:1877–1901, 2020.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Language models are few-shot learners.Advances in neural informa- tion processing systems, 33:1877–1901, 2020

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e9b51b58-7c58-4621-b98b-5a5311a3ec1a · outbound

This paper cites LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages

Reference 4

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no resolver link, observed 2026-08-10T23:19:48.171549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec436325-90fc-4240-b9f7-199772aa3f8d · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language un- derstanding.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches BERT: Pre-training of deep bidirectional transformers for language un- derstanding

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.657920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c63c5ff8-5fc6-4410-845c-176e454b2542 · outbound

This paper cites Understanding Back-Translation at Scale.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Understanding Back-Translation at Scale

Reference 6

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no resolver link, observed 2026-08-10T23:19:48.184533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.184533Z digest=sha256:0016c65c438b0076d512bd649fcfec6a18e26cdb074e63ad14c55d4974152ce6

Observation 64ed41cc-f268-48c4-88b9-78b17faea5cf · outbound

This paper cites Data augmentation for low-resource neural machine translation.Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 1:567–573, 2017.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Data augmentation for low-resource neural machine translation.Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 1:567–573, 2017

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d110fa43-e480-4e59-a83d-a3470e2615b9 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Large Language Models are Zero-Shot Reasoners

Reference 8

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unresolved
no resolver link, observed 2026-08-10T23:19:48.192952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7644edda-7780-4ecf-b5c6-b66a6e170ac7 · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Self-Alignment with Instruction Backtranslation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.197797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.197797Z digest=sha256:82d56a22dd20d0e8403c9bca25c513178cf6bc6d3cc5bdd03faf4e88106577c1

Observation 8cc6df1c-146b-4959-8bb3-57b2bc39ff4f · outbound

This paper cites Multilingual Denoising Pre-training for Neural Machine Translation.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Multilingual Denoising Pre-training for Neural Machine Translation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.203413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.203413Z digest=sha256:5fe7386d81c0c9f19c58851360e374f7065ac6a74a5fac8b81c180d7875d8c38

Observation 32ac03b3-3463-4cd2-b620-e4578377179b · outbound

This paper cites Transfer learning for low-resource text classification with transformer ensembles.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Transfer learning for low-resource text classification with transformer ensembles

Reference 11

Resolution
verified exact
doi, observed 2026-08-10T23:19:48.309182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.208709Z digest=sha256:84871ca76d3aaa1bfb41893639f8fd6b177d9c8010cbc0e45dd5a7d9c5a5be13

Observation 412fb7d1-10c1-43c6-9095-f1485685a75f · outbound

This paper cites A survey on neural machine translation.IEEE Trans- actions on Neural Networks and Learning Systems, 2021.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches A survey on neural machine translation.IEEE Trans- actions on Neural Networks and Learning Systems, 2021

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.212760Z digest=sha256:796ca4188d7b992a76d63dcdf3fd18505e466f60b3cf5c4168121a5f03db56f6

Observation 3f149df8-a22c-4d8d-8506-8277144aa557 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35: 27717–27730, 2022.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35: 27717–27730, 2022

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.613615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.216539Z digest=sha256:e3fca52cf0e1140e1519418ec98aa08d5811029c2017e12790d31be28a5ad4da

Observation 21c65d50-bf41-4293-98ac-3dc6242808c5 · outbound

This paper cites Inspecting discrepancy between multivariate distributions using half-space depth based information criteria.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Inspecting discrepancy between multivariate distributions using half-space depth based information criteria

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T23:19:48.453749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.220364Z digest=sha256:3315ad999bf81fd1cb0d1e2bb79c1e71426df6a77d1c2554d76d14b2dc2c52b7

Observation ba21e66e-41af-4108-b382-70c6f98050b7 · outbound

This paper cites Data augmentation techniques in machine learning.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Data augmentation techniques in machine learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.602646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.224280Z digest=sha256:5e5b6dbfa9910fd0fac0e1e14e888da3fa6d2a93179e26a862e857bc7ecb5e07

Observation 6130d2ce-fa6b-4981-a471-952dee8942fb · outbound

This paper cites Language models are unsupervised multi- task learners.OpenAI Blog, 2019.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Language models are unsupervised multi- task learners.OpenAI Blog, 2019

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.591384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f4be4155-eddf-4a5c-9bd5-f35a5ae25ce8 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of Machine Learning Research, 21:1–67, 2020.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of Machine Learning Research, 21:1–67, 2020

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.580213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0fd95569-9a28-4446-9ee4-f9435b89e332 · outbound

This paper cites Improving Neural Machine Translation Models with Monolingual Data.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Improving Neural Machine Translation Models with Monolingual Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.236091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d781e8e0-d4a7-4f1d-9c9a-f13793687b3c · outbound

This paper cites Mt challenges and opportunities for low-resource languages.Proceedings of ACL 2021, 2021.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Mt challenges and opportunities for low-resource languages.Proceedings of ACL 2021, 2021

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.240028Z digest=sha256:6b96bf992ca6f9095373fb9d470872fe450b3ef28f4e9fde189d32377989c521

Observation 1d640690-fba0-4133-857f-69d1c8440fb5 · outbound

This paper cites Survey of techniques for low-resource neural machine translation.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Survey of techniques for low-resource neural machine translation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.556348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.244127Z digest=sha256:9aca4ad6c67cbcb5698cd07cbfa970401e80281077e506c40785fdfbefdb1d83

Observation 02ab33ab-7266-400e-b001-da9d18bac83f · outbound

This paper cites Taking stock of multilingual neural machine translation.Proceedings of the 58th Annual Meeting of the Asso- ciation for Computational Linguistics, pages 103–114, 2020.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Taking stock of multilingual neural machine translation.Proceedings of the 58th Annual Meeting of the Asso- ciation for Computational Linguistics, pages 103–114, 2020

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.543497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.248326Z digest=sha256:f20b638cd238d3c44cf4e9272dcb4d4f22cde4a0c853058829a3ae15a29aa322

Observation 992098f5-3a9e-404c-8332-3f2859b7899d · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30:5998–6008, 2017.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Attention is all you need.Advances in neural information processing systems, 30:5998–6008, 2017

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:19:48.530390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.251932Z digest=sha256:c157fd0e69a2645d61def8280f4a7aee675d51ad04008af3f2d0b3cf0381540d

Observation 6be5cc3d-c370-40e3-83e4-218872538844 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.256269Z digest=sha256:8712eb14e6853cb6d5f98edb38f2df3918c99770fc9c2cdbb62c7ef51c80c3cb

Observation 0f31c29c-4292-4045-9569-f6f8718f548e · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.260885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.260885Z digest=sha256:e4e07de00906c378bb11ff5f6ad915d844a37797e617ed0b7dbd3175df1798db

Observation 3bdc4192-2f69-4cbe-b344-baa2860832cd · outbound

This paper cites Generative machine learning methods for multivariate ensemble post-processing.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Generative machine learning methods for multivariate ensemble post-processing

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.265501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.265501Z digest=sha256:e2167f5253ae9e1e381c274e050de5665cc6c49f3572789000f82f9d30fbe176

Observation 6f2f5586-159b-4c53-91f9-c4b84eab9b01 · outbound

This paper cites Improving deep neural networks with knowledge distillation and adversarial training.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Improving deep neural networks with knowledge distillation and adversarial training

Reference 26

Resolution
malformed identifier
no resolver link, observed 2026-08-10T23:19:48.269545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.269545Z digest=sha256:114e766acc104fc28b03df72d7f0ba01f619d135292d831e5ff8ab9481ab4fd7

Observation 40b2fad6-5cfc-4962-b3ce-314b90fe0851 · outbound

This paper cites Transfer Learning for Low-Resource Neural Machine Translation.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches Transfer Learning for Low-Resource Neural Machine Translation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.273494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.273494Z digest=sha256:8e29f5362862ddd60b82a464e0433cfb3f7c0511fd28534cbb6129b0938d44a3

Observation 9499f38c-8493-4b30-a656-55f077fbf957 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches PaLM: Scaling Language Modeling with Pathways

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:48.166608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:48.166608Z digest=sha256:ac8a016f9289839376bc74c0fbfc67fa4e2466268652e760672b367ad5fdd245

Observation 87a7cf15-93bb-4e8a-b330-ac58dca6d02f · outbound

This paper cites URLhttps: //aclanthology.org/N19-1423.

Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches URLhttps: //aclanthology.org/N19-1423

Reference 4186

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:19:48.180664Z digest=sha256:8bf4118bcca3234b127a55453d3395e36afb3ac205a0f47d788d3d15efb46ff3

Pith citing papers

Observation 3f38c004-fd14-4d88-adfd-a5ed11a77eaf · inbound

A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation cites this paper.

A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:31:29.387700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T01:23:01.961159Z digest=sha256:88840e06b8ed0522b33e182cd04c397808061939b381714256de3bdd1982a541