Paper Citation Record · LEDGER

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2412.15252.

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

pith.paper-citation-record.v1
2412.15252 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:21:19.584953Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:55:55.452661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:36:06.635020Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy18
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a650b016-0064-41aa-993d-7727133ab825 · outbound

This paper cites Sentiment Analysis of Product Reviews Using Transformer Enhanced 1D -CNN and BiLSTM.,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Sentiment Analysis of Product Reviews Using Transformer Enhanced 1D -CNN and BiLSTM.,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.947471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a891d69-8f9c-4ad6-ac0d-133ee10d80c7 · outbound

This paper cites Deep Ensemble Network for Sentiment Analysis in Bi -lingual Low -resource Languages.,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Deep Ensemble Network for Sentiment Analysis in Bi -lingual Low -resource Languages.,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.927078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57089b5f-f51f-4f4b-ae5e-b7a403232071 · outbound

This paper cites Kurdish end -to-end speech synthesis using deep neural networks,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Kurdish end -to-end speech synthesis using deep neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.911716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ef1b7c3-e418-4415-9fe2-fd00ad4c95af · outbound

This paper cites Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.892634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a798326-bc71-42ed-9b62-3f3a00f03da2 · outbound

This paper cites DeepSpacy-NER: an efficient deep learning model for named entity recognition for Punjabi language.,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages DeepSpacy-NER: an efficient deep learning model for named entity recognition for Punjabi language.,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.875181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0159c5c9-3c77-4a88-bc12-3adeecc82d70 · outbound

This paper cites Named Entity Recognition of Automotive Parts Based on RoBERTa -CRF Model,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Named Entity Recognition of Automotive Parts Based on RoBERTa -CRF Model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.854899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc81fe10-abd6-4355-a391-409f47ddef44 · outbound

This paper cites Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.831953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 404b3508-f9df-4682-ae57-47f42bceaed5 · outbound

This paper cites Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.816951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52dbcd86-a993-4252-938a-ee4199acb434 · outbound

This paper cites Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross -lingual research,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Claim detection for automated fact-checking: A survey on monolingual, multilingual and cross -lingual research,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.800721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2137de3-b33d-46fe-a351-7d8d17c237ee · outbound

This paper cites RoBERTaNET: Enhanced RoBERTa Transformer Based Model for Cyberbullying Detection with GloVe Features,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages RoBERTaNET: Enhanced RoBERTa Transformer Based Model for Cyberbullying Detection with GloVe Features,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.784225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf0de79b-4bed-4576-a4ce-708e226050d0 · outbound

This paper cites FINE-TUNING BERT, DISTILBERT, XLM-ROBERTA AND UKR-ROBERTA MODELS FOR SENTIMENT ANALYSIS OF UKRAINIAN LANGUAGE REVIEWS,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages FINE-TUNING BERT, DISTILBERT, XLM-ROBERTA AND UKR-ROBERTA MODELS FOR SENTIMENT ANALYSIS OF UKRAINIAN LANGUAGE REVIEWS,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.767044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7350b05f-200a-4f0c-b0a8-5c05044dfc09 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:21:19.543450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adaba593-b5c8-42d9-b9b3-7bb527984cf0 · outbound

This paper cites A robustly optimized BERT pre-training approach with post -training,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages A robustly optimized BERT pre-training approach with post -training,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.752541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d24620a-26e2-4b12-812e-fc613f084041 · outbound

This paper cites Natural language processing analysis applied to COVID -19 open -text opinions using a distilBERT model for sentiment categorization,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Natural language processing analysis applied to COVID -19 open -text opinions using a distilBERT model for sentiment categorization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.735266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42ac2f99-d301-40bf-86a3-60de2ea3981b · outbound

This paper cites Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.718661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4a9274c-d2fa-47b0-802c-f3373d1a5bd3 · outbound

This paper cites DeBERTa-GRU: Sentiment Analysis for Large Language Model,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages DeBERTa-GRU: Sentiment Analysis for Large Language Model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.701118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae3dfe9b-9281-4f06-961a-9f063f023a57 · outbound

This paper cites KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.684488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e4484a8-4365-4d0d-9525-5b8f99b238be · outbound

This paper cites A Robustly Optimized BERT Pre-training Approach with Post- training.,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages A Robustly Optimized BERT Pre-training Approach with Post- training.,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.666334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a76e0ce-04c3-4f3c-b4d4-13cf8e330593 · outbound

This paper cites A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology,.

NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:21:19.645917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 4a8c808c-8042-422a-837a-90d574b726e7 · inbound

Tokenization Matters: Improving Zero-Shot NER for Indic Languages cites this paper.

Tokenization Matters: Improving Zero-Shot NER for Indic Languages NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:55:55.452661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1b7b8c-e5c2-4b51-aed3-4fe5e711961a · inbound

The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages cites this paper.

The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:36:06.640538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.