Paper Citation Record · LEDGER

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.05104.

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

pith.paper-citation-record.v1
2608.05104 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:20:03.263656Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

51 of 51 outbound references displayed

verified exact3
verified fuzzy21
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c993fd74-1ed4-4b89-a4de-1020a1bb0966 · outbound

This paper cites and Manning, C.D., 2015.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Manning, C.D., 2015

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.391736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cf0e8f9-1eae-4bad-9fc0-378b9553ff9e · outbound

This paper cites Neural Machine Translation for Low-Resource Languages: A Survey.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Neural Machine Translation for Low-Resource Languages: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:19:59.299051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183503df-164a-40a0-8081-6dbecc5cffe7 · outbound

This paper cites Language models: past, present, and future.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Language models: past, present, and future

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.384194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9536a17-a26c-490a-84ac-15a38551d9e8 · outbound

This paper cites An unsupervised parts-of-speech tagger for the bangla language.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning An unsupervised parts-of-speech tagger for the bangla language

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.376382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef6d95ea-fd02-4df6-855a-1fffe28d53cc · outbound

This paper cites Research on Bangla language processing in Bangladesh: progress and challenges.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Research on Bangla language processing in Bangladesh: progress and challenges

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.367979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92e6ec17-f268-489d-8c87-dadaed08c1a7 · outbound

This paper cites and Khan, M., 2007.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Khan, M., 2007

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.359354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 172df3bf-a0c8-4d85-891c-9a891c815c46 · outbound

This paper cites and Bandyopadhyay, S., 2010.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Bandyopadhyay, S., 2010

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.351128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 135b71ad-462a-46a0-82ea-db3413165c13 · outbound

This paper cites and Izhar, M.N., 2013.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Izhar, M.N., 2013

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.343918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b399d1a-ffaf-44f2-9d64-79db729144e4 · outbound

This paper cites and Bandyopadhyay, S., 2010.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Bandyopadhyay, S., 2010

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.336007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c772178e-a00e-40c1-a19d-4f9be7d8b910 · outbound

This paper cites Emotion Classification in a Resource Constrained Language Using Transformer-based Approach.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T05:20:04.576380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 673e239a-5d2b-4f61-a8ca-35ecaa4181a0 · outbound

This paper cites Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:20:04.364105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fafcc2c-f692-48e2-a3c2-28938e4e4630 · outbound

This paper cites A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T05:20:04.117803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 486941d6-30c5-47eb-a97d-ff7adf4178b0 · outbound

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

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.218709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfe56593-6abb-4144-a156-1efc2dee9872 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.307802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c27f4f-7891-41c9-84a6-a9e7c6664b17 · outbound

This paper cites and Chen, Y ., 2015, June.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Chen, Y ., 2015, June

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.328641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b108e256-0650-42ba-972b-56441029cf5a · outbound

This paper cites Gradient and Magnitude Based Pruning for Sparse Deep Neural Networks.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Gradient and Magnitude Based Pruning for Sparse Deep Neural Networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.321351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81ee1455-f457-4c46-ae90-d510d50f4b3b · outbound

This paper cites Pruning Filters for Efficient ConvNets.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Pruning Filters for Efficient ConvNets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.528787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f82785a-1ddc-4d97-a914-7ec843e3c24f · outbound

This paper cites and Sun, J., 2017.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Sun, J., 2017

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.313536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe8bf894-cfbf-47ce-9d44-2d430f8b1751 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.688633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6e9fd7-0606-4777-9251-297972ab3fa1 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.754595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5542167-1883-455a-b761-b5a289743967 · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:00.831167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45ef172a-eea1-4dd2-9425-48fc54fe888e · outbound

This paper cites and Jana, A., Sentiment Analysis For Bengali Using Transformer Based Models.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Jana, A., Sentiment Analysis For Bengali Using Transformer Based Models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.306800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4569869-30e5-4958-9b5e-63d1ea66a064 · outbound

This paper cites and Alam, F., 2020, November.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Alam, F., 2020, November

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.299573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df2f1bc5-beb4-49d4-966d-1167460296d8 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.006602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d30fb3-a825-4a62-b818-d73745a7d959 · outbound

This paper cites and Koshiba, T., 2022.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Koshiba, T., 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.291482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3a50491-cbf4-4415-92a9-4bfb81677f77 · outbound

This paper cites and Shahriyar, R., 2022.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Shahriyar, R., 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.284355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 001a0020-1b10-4c3a-ae77-811ba9e33441 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.212860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70c3e9d-7212-4852-bdf8-ce5ea47ef585 · outbound

This paper cites Structured Pruning of Large Language Models.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Structured Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.280806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42209ac9-e825-493d-8635-97c7229e491f · outbound

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

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.325022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da7a875-518e-4f96-9360-8835eaca06ae · outbound

This paper cites and Keutzer, K., 2020, April.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Keutzer, K., 2020, April

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.276498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7326ea17-1aee-4884-8c93-faf489794710 · outbound

This paper cites Patient Knowledge Distillation for BERT Model Compression.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Patient Knowledge Distillation for BERT Model Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.478142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a877abb5-31e3-429d-9c54-5e4d372715b9 · outbound

This paper cites Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T05:20:03.811426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86f0671f-4e1b-40f4-ab97-ea7a6240a804 · outbound

This paper cites and Yosinski, J., 2019.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Yosinski, J., 2019

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.267868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77c0357b-9087-4569-9885-7602c21b9d3a · outbound

This paper cites and Ganguli, S., 2020.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Ganguli, S., 2020

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:08.079159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1deaffa-09fb-494a-bbb9-761894996a25 · outbound

This paper cites and Carbin, M., 2020.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning and Carbin, M., 2020

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:07.845511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed824e4e-39d5-47f0-a2f7-47b27e43f6da · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:07.539982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc96807a-3942-4a81-a18d-1678aca085b0 · outbound

This paper cites Bangla Text Classification using Transformers.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Bangla Text Classification using Transformers

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:20:03.636822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 079fc756-04b3-4bab-9e65-9e9fda01a5c5 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:07.454568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44510221-12dc-4a70-800b-bbafff14f425 · outbound

This paper cites AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:02.052319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b39010-8e05-4043-8793-5f46d5eaba81 · outbound

This paper cites Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, and Firoj Alam.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, and Firoj Alam

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:07.274159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e51bec10-928a-4cb7-ac54-5092e1d74b33 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:07.044396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f681cf8-fd67-4557-a80b-98ebf0f7e695 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:06.797245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a52be7ae-9bac-4478-8c91-70490b48356e · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:06.176483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c177b094-9cab-47b4-a5a9-3bea23546e1e · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:05.937441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58914d96-bcb9-4952-8e33-d852ffa01aca · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:05.692256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f02e79e3-facc-4ddf-9303-3cf849b7ce04 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:05.502645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c001f821-91df-40ed-ad94-95cfaa97a1bc · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:05.260673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63337a13-63ce-4ae1-b359-288f0be7fea3 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:05.051935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4ccf02c-6c67-4d48-91ff-6c5d03f5056a · outbound

This paper cites A Subword Level Language Model for Bangla Language.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning A Subword Level Language Model for Bangla Language

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:20:03.459848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65e18dba-3736-464b-bca8-b6547f14ae47 · outbound

This paper cites an unresolved cited work.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:20:04.807272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddcc655d-983a-4f1f-8864-418bfadee45f · outbound

This paper cites In Mining Intelligence and Knowledge Explo- ration, Rajendra Prasath, Anil Kumar Vuppala, and T.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning In Mining Intelligence and Knowledge Explo- ration, Rajendra Prasath, Anil Kumar Vuppala, and T

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:20:06.464726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.