Paper Citation Record · LEDGER

Development of Pre-Trained Transformer-based Models for the Nepali Language

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2411.15734.

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

pith.paper-citation-record.v1
2411.15734 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:00:58.319023Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:14:46.004752Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy22
unresolved15
parse uncertain1
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d55a9411-4a46-4163-b7a9-43278f24d1c0 · outbound

This paper cites A bit of progress in language modeling.

Development of Pre-Trained Transformer-based Models for the Nepali Language A bit of progress in language modeling

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:59.048129Z

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Observation 655902c7-58f9-4fdc-8e0d-88cf7d1de70b · outbound

This paper cites Recurrent neural network based language model.

Development of Pre-Trained Transformer-based Models for the Nepali Language Recurrent neural network based language model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:59.026234Z

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Observation 698ddcf0-1706-419d-891e-e229caee0687 · outbound

This paper cites Lstm neural networks for language modeling.

Development of Pre-Trained Transformer-based Models for the Nepali Language Lstm neural networks for language modeling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:59.007401Z

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Observation fe804469-d516-4fe2-8ee3-f98380a31c1c · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Development of Pre-Trained Transformer-based Models for the Nepali Language Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.987056Z

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Observation 37e4a4a1-ae0a-4465-abfe-d3aa4ae9bc89 · outbound

This paper cites Deep contextualized word representations.

Development of Pre-Trained Transformer-based Models for the Nepali Language Deep contextualized word representations

Reference 5

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Observation 9c79f388-ed44-4782-ba9c-797c58ff1234 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Development of Pre-Trained Transformer-based Models for the Nepali Language Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.970475Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ff249b6-6a69-4643-a4f6-8c8d5aad4c80 · outbound

This paper cites Improving language understanding with unsupervised learning.

Development of Pre-Trained Transformer-based Models for the Nepali Language Improving language understanding with unsupervised learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.954340Z

Source-reported events for the cited work

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Observation 8cbe3e15-738d-4fd7-9b4d-85798f85a9b2 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Development of Pre-Trained Transformer-based Models for the Nepali Language Finetuned Language Models Are Zero-Shot Learners

Reference 8

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Observation 3b223f95-9fb6-41cd-bc00-15a66825db3e · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Development of Pre-Trained Transformer-based Models for the Nepali Language Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.170969Z

Source-reported events for the cited work

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Observation 41da3195-5349-499e-9a78-f860c75ec437 · outbound

This paper cites Nepberta: Nepali language model trained in a large corpus.

Development of Pre-Trained Transformer-based Models for the Nepali Language Nepberta: Nepali language model trained in a large corpus

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.937918Z

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Observation 08366ac8-ca39-4871-97f4-82bc437f3a82 · outbound

This paper cites Structure of Nepali Grammar.

Development of Pre-Trained Transformer-based Models for the Nepali Language Structure of Nepali Grammar

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.920568Z

Source-reported events for the cited work

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Observation cdf78b79-e8f6-4bd9-aed8-4606489b548a · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Development of Pre-Trained Transformer-based Models for the Nepali Language Efficient Estimation of Word Representations in Vector Space

Reference 12

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Observation 322c1b16-4e0a-4fd9-aee8-f7ec63555850 · outbound

This paper cites Glove: Global vectors for word representation.

Development of Pre-Trained Transformer-based Models for the Nepali Language Glove: Global vectors for word representation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.902666Z

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Observation 58b4b174-f6f6-45cb-82da-111d6589ff75 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Development of Pre-Trained Transformer-based Models for the Nepali Language RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

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Observation 6c2c7b13-2931-4eed-82ad-06683004c86d · outbound

This paper cites Le, and Christopher D.

Development of Pre-Trained Transformer-based Models for the Nepali Language Le, and Christopher D

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.886636Z

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Observation 41493034-0c3f-48ba-b3e1-46ce97aed0d3 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Development of Pre-Trained Transformer-based Models for the Nepali Language DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.206761Z

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Observation e67c1320-1a84-4876-a2e2-06658263a00c · outbound

This paper cites How multilingual is Multilingual BERT?.

Development of Pre-Trained Transformer-based Models for the Nepali Language How multilingual is Multilingual BERT?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.211723Z

Source-reported events for the cited work

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Observation bf0fe575-f61e-4915-bf97-53e5989e8f21 · outbound

This paper cites Cross-lingual language model pre-training.

Development of Pre-Trained Transformer-based Models for the Nepali Language Cross-lingual language model pre-training

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.870625Z

Source-reported events for the cited work

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Observation b09e6132-caaf-49c1-90ee-e89b6b09b1e3 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Development of Pre-Trained Transformer-based Models for the Nepali Language Unsupervised Cross-lingual Representation Learning at Scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.220920Z

Source-reported events for the cited work

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Observation 58084817-1eff-4218-904d-4ea1850224da · outbound

This paper cites Large-Scale Contextualised Language Modelling for Norwegian.

Development of Pre-Trained Transformer-based Models for the Nepali Language Large-Scale Contextualised Language Modelling for Norwegian

Reference 20

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Observation 7a2e9e3d-1a00-4c2e-b670-003bd13e7aac · outbound

This paper cites Multilingual is not enough: BERT for Finnish.

Development of Pre-Trained Transformer-based Models for the Nepali Language Multilingual is not enough: BERT for Finnish

Reference 21

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Observation 193c7844-4881-4a5f-b839-4c62f26f852a · outbound

This paper cites Herbert: Efficiently pretrained transformer-based language model for polish.

Development of Pre-Trained Transformer-based Models for the Nepali Language Herbert: Efficiently pretrained transformer-based language model for polish

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.850665Z

Source-reported events for the cited work

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Observation c3b7ab19-170d-4e71-b34b-65287b60b41c · outbound

This paper cites German’s next language model.

Development of Pre-Trained Transformer-based Models for the Nepali Language German’s next language model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.832503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation afc702d0-2eb3-4de5-be59-55efd76a061d · outbound

This paper cites Pre-training with whole word masking for chinese bert.

Development of Pre-Trained Transformer-based Models for the Nepali Language Pre-training with whole word masking for chinese bert

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.815866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 74ed3c41-153d-4db1-81fd-2d56a330c01b · outbound

This paper cites Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages.

Development of Pre-Trained Transformer-based Models for the Nepali Language Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.251316Z

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Observation c7accd04-0a29-4574-9013-54b19650af28 · outbound

This paper cites Nepalibert: Pre-training of masked language model in nepali corpus.

Development of Pre-Trained Transformer-based Models for the Nepali Language Nepalibert: Pre-training of masked language model in nepali corpus

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.793638Z

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Observation e1eeabd9-7b95-4047-b71f-688d6aa72523 · outbound

This paper cites an unresolved cited work.

Development of Pre-Trained Transformer-based Models for the Nepali Language Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:00:58.771853Z

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Observation 05761014-a63d-4798-b07b-ea19db7c9930 · outbound

This paper cites inltk: Natural language toolkit for indic languages.

Development of Pre-Trained Transformer-based Models for the Nepali Language inltk: Natural language toolkit for indic languages

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.753756Z

Source-reported events for the cited work

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Observation 8a6b0de1-0705-442f-9af5-384be5b8223f · outbound

This paper cites Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures.

Development of Pre-Trained Transformer-based Models for the Nepali Language Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.733770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42de184b-7840-43b3-8e0f-cba64a3ae554 · outbound

This paper cites alpaca-nepali-sft, 2024.

Development of Pre-Trained Transformer-based Models for the Nepali Language alpaca-nepali-sft, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.713085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 446328b6-02e7-4313-a504-4ecaba63cba9 · outbound

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

Development of Pre-Trained Transformer-based Models for the Nepali Language Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.279202Z

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Observation 93660c88-f133-415c-b483-04b790f2321b · outbound

This paper cites Neural machine translation of rare words with subword units.

Development of Pre-Trained Transformer-based Models for the Nepali Language Neural machine translation of rare words with subword units

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.693774Z

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Observation bd830309-f19c-4da6-a75c-2c1cb1468a5f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Development of Pre-Trained Transformer-based Models for the Nepali Language Adam: A Method for Stochastic Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.290359Z

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Observation 3438e3ae-01da-431e-8627-b1da78d68acd · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Development of Pre-Trained Transformer-based Models for the Nepali Language Gaussian Error Linear Units (GELUs)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.295505Z

Source-reported events for the cited work

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Observation 3e752985-ac05-4881-9775-0a82b2ecc486 · outbound

This paper cites Language models are unsupervised multitask learners.

Development of Pre-Trained Transformer-based Models for the Nepali Language Language models are unsupervised multitask learners

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:00:58.300200Z

Source-reported events for the cited work

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Observation d26cdee8-8078-4e88-90e9-a1194e0396a6 · outbound

This paper cites Nepalibert, 2021.

Development of Pre-Trained Transformer-based Models for the Nepali Language Nepalibert, 2021

Reference 36

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T14:00:58.662104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7aec4fb3-1dfb-4b72-9c14-3c18e879cfef · outbound

This paper cites Xlsum-nepali-summerization-dataset, 2024.

Development of Pre-Trained Transformer-based Models for the Nepali Language Xlsum-nepali-summerization-dataset, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.646227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f1cb257f-cded-4914-bb11-e9cdd93c9bda · outbound

This paper cites Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics.

Development of Pre-Trained Transformer-based Models for the Nepali Language Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.627181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96236244-a829-4719-8459-49defed7a5f5 · outbound

This paper cites Distilgpt2-nepali, 2022.

Development of Pre-Trained Transformer-based Models for the Nepali Language Distilgpt2-nepali, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:00:58.606148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 37ee4ca4-7868-40ed-b45f-5ca1de194690 · inbound

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages cites this paper.

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Development of Pre-Trained Transformer-based Models for the Nepali Language

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T23:14:46.004752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.