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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.271562Z digest=sha256:78f29b0bf3c43b737f6faf3944f278226d2e264a3e8580e6421c61c1a6ebcf9d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:19:59.299051Z digest=sha256:b9e43c59bf97c7672d1df9d5b2ddc8564552a54ed586aa4bc17bbff52f1916a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.365964Z digest=sha256:12b65ba0f984f59ef4e2f3c964c810e58da4191a09b25631f208f157ed9d9428

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.440494Z digest=sha256:f12982f11087ec3f252126738f207d25b0181d782b4019e08cc84286b12d319c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.509703Z digest=sha256:3d619b2bdd6cf89b6de4ea6f6aa515c64bcecabcb0dc2feb0ade94d9517f3626

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.597129Z digest=sha256:0c536b83dd7453d74fdd6cbff9e911e212736f8d92efb0b8ebbcab5a31c3eb4e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.678826Z digest=sha256:c94ed3f3d188790a1496114463c9d5fce65abd635945c02b210d938439d97b63

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.752674Z digest=sha256:fa2f3bf0ecdc1a624fc493dba4aab4f610802607b3cc643f68d485309add77cf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.824451Z digest=sha256:17954a182d7b334bec83061e6681b56df8bf1dab9ff959f5298a940ac147a4c8

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.883792Z digest=sha256:db62baf83fff0d07328a79631f99cf1e36d7a6966413544efcd0d5ce12c13725

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:19:59.989060Z digest=sha256:a6931a9b8c03b347f6f146548f3f8439e0a2654b92797c5aa05eaba7e0b07e71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.073377Z digest=sha256:d17def8bb2363be9e17c189aa0c2c6bf6edb72dfc7a3fc20eb83d1a91245e4b0

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.

source=pdf_text observed=2026-08-06T05:20:00.218709Z digest=sha256:8d6134ad25a94993c9e9f3f4b296985d318a3710c1adb247444bdae730f86e85

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.

source=pdf_text observed=2026-08-06T05:20:00.307802Z digest=sha256:c5d8c8ff1b62d714fa85a54cae3e1762da9509b4b677dfa1b172c662a4f8ef2e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.371297Z digest=sha256:3d7122ec8b83e4f390b555022148a019b11f7ba0e6695b39a215a94bde8e1070

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.459217Z digest=sha256:0120ad2408d2072d40bbf173761abd8d1b2ade438a3485fc3831c42630022238

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.

source=pdf_text observed=2026-08-06T05:20:00.528787Z digest=sha256:d0bc9c9500c2baa8df803383eae4d6162cca41621b56538522518317b85df321

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.625230Z digest=sha256:9462d967755e7ca306774ed864544ae3d65e0d6817cdfe8f2e257536d032006c

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.

source=pdf_text observed=2026-08-06T05:20:00.688633Z digest=sha256:c0c32faeb36fe740d05e89ea00df4718199a1a6689098507d2f029be8ee917dc

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.

source=pdf_text observed=2026-08-06T05:20:00.754595Z digest=sha256:7d02c9639b66e1c829f29c7e0fd23eb567e931f483707d59e5a64309d5682423

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.

source=pdf_text observed=2026-08-06T05:20:00.831167Z digest=sha256:1f23539722a7ce7a420ee5acef50db0b505f957f6a0dd15d1472d8e26a626f00

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.882249Z digest=sha256:51cc61977e939fa312e0808752093d04f10c8e3c1949982c1c8382a165f269b8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:00.953049Z digest=sha256:4057ec2f88bb168d622554240e63fdd85953f32e50ba6ba5acb212c28621e5dd

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.

source=pdf_text observed=2026-08-06T05:20:01.006602Z digest=sha256:c7ee120ec4826bfd15c9fc2c6ce68783bc11adcf8c49882de4cf7a7bdb8f143a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.080487Z digest=sha256:7b4e2bdcada0853ad52eb7a244d82c1d49ac97d496ac9c90897a3020f9301d18

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.142246Z digest=sha256:6d0e88f3537a9155e55fa70bd86470a974c66628b2f8659afe2ef177fa63ce49

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.

source=pdf_text observed=2026-08-06T05:20:01.212860Z digest=sha256:991afc44386081ff7d89ae81cbfdb3cc63c31d68ad5e5ca4093eb277e226bcde

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.

source=pdf_text observed=2026-08-06T05:20:01.280806Z digest=sha256:a182bd3f62583c28570007d6c3d72a414e0408bf9683f8818e2f18705071d504

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.

source=pdf_text observed=2026-08-06T05:20:01.325022Z digest=sha256:0b2e95009c523152ab57e73d9d59ed6b57a7ae431f36fdc8c9dc46bfa4a5e4b8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.393167Z digest=sha256:12c977fe7edde7e94b52233459e77dfdd985fb044299c4aa5f62acdcd067bf65

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.

source=pdf_text observed=2026-08-06T05:20:01.478142Z digest=sha256:62c9e7b741fcd30d88e8327c7076f26cbdb7f32f417acce36a5cab615cdc228e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.551212Z digest=sha256:7dfe381b7c7a2bd43dd2ea1bfa21c5a3bf2e0e779f4f5a699d0ea4adc4bbb2e3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.649747Z digest=sha256:9ec1755ddfc01d4c00659cba7d691cb2a73261fe012844360dfef658216cb924

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.710719Z digest=sha256:31fd5c3636f795fa941ea82e0ef4e449b300628ba62684fd33b81eb84edb142d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.771705Z digest=sha256:1dca4f2635009fc84ddd9ca52ddd83c6d1d39be273f598327cbcc498410532c5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.845662Z digest=sha256:6a38268dd525aef354d7c274d58eaff8b287bedf01efd29cc3d8a938e1131079

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.905765Z digest=sha256:53cf47892e87cbdc392ddc94610e553372362d05dbf90195594c41951ab73d75

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:01.983315Z digest=sha256:28bfa5fbe9608051c780cbd56cd3000af592efb1e381e0ed730644916990aeb5

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.

source=pdf_text observed=2026-08-06T05:20:02.052319Z digest=sha256:a6956531431d2b32a2c37e665f7df7e71156c31bcea3471ae4066df8c35c8109

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.118343Z digest=sha256:22fb859ab1da2f5ac64da18e57a38b2760c1529a9703648b8f5a2f1cce6adfef

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.200481Z digest=sha256:1fb5f8d7bba27a1ddde87d15675736fd8ee686ad4c91ba46f2031decc3a13d8e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.243558Z digest=sha256:2c15e5beba307b4e2d7a437deba8b97eab24aadc6f1ac34eda320c4fed2e5709

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.397580Z digest=sha256:1bc0ce474dce9b905a4676af1d32c24e9bb9d128e00891ffd590b132365d762e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.535725Z digest=sha256:60b9638fd34c460ded44d28c6ebdc38f6b5f06fc70693b347395bc88cdafb7b2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.650088Z digest=sha256:efc2ea520b91fca4c91688a63e9f0a864d56e7c673ed0b309861d77354dfe184

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.781798Z digest=sha256:8e1bcd00899379a11479da44b0ca40b48be3568a42ad102ea42b79c93ed54b30

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.893585Z digest=sha256:6f3a0ee23079724e8736ff910114745af13607ba6b5d4e3946a7f582c5e53680

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:03.027803Z digest=sha256:bf24b02ba34d96d14d6e0d5c80f0c24197961da5967961366cd24ba0912cabc0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:03.173552Z digest=sha256:19755c7f41904e18885beb9250f9faf329012d193eb6888cba5ef9202c5c6ad6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:03.263656Z digest=sha256:5324d92de9100e83b3fb93da9a60ea5f54bcb8128bd4c4405331b140eaf8688e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:20:02.280571Z digest=sha256:dcdb3eedbf8df91db1cf1e7b00832d9fbf8af70d058231a2af94369f450d50b7

Pith citing papers

No inbound Pith citation observations are available.