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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.271562Z digest=sha256:3fc128dbd30b27df56ab9b6c4aad87a2cf7942819924122da688b551a930e069

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.

source=pdf_text observed=2026-08-06T05:19:59.299051Z digest=sha256:c367bfb49ad73dd57b7438b2df3d2b3c1498348700c0b0630f58f9eebcd2130a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.365964Z digest=sha256:f2934be8e57decb8ef27dcd1042144c12c7396eb67a43e00ac8e0a1c92d33c42

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.440494Z digest=sha256:3ce86ea6f000572bd6cdc2e30879ba17e9a401bad3e1a0400abf38a936a03f1c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.509703Z digest=sha256:6014674a3795e24fabe5ebf6fafe887c4381bbec5c393563a54db1d4d0758ecc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.597129Z digest=sha256:9c2c31e048400b0153264e4c9002087a5e429ad7767ed7569ddfe5e1caecffa3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.678826Z digest=sha256:65bd9923e340a0592ad88a1ca62991f639cd7705045ba325febc1660b4034b37

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.752674Z digest=sha256:265a45aadf89afe878bea9b5732099c911805a17b537a4d4a370ec031c9f393e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.824451Z digest=sha256:2350235f65205f572c4d10d95d8649b2a8f7d78eae389b4b36aac0975e60c611

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.883792Z digest=sha256:7fd87a05fe770c504ed79faf1030e27a94e34cb28f542b2532ea69d44f19ec01

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:19:59.989060Z digest=sha256:4ae5596f80fbcdb6ab8d72df218b355a7723856c4e60b81318d6f1ecac87273b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.073377Z digest=sha256:eac8b180c80cacd45a88fd5d01d7bd2c407b13037a085caabc488b3fd4df4a29

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:aad6a76fd7447036946b0e159025a344950676e08e9b2a602804b1b917e138e7

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=sha256:16e4cabb0f1407eb18189e5009944f7561b2385f165d3eff9e884e32dd33afec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.371297Z digest=sha256:981e5b9d8ca7e9a7b862b04e33d4043c0603c2618bf281b9038d34394ce03c2a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.459217Z digest=sha256:75afc9a4f2e9c3006d0256034c59ea819d6a27f37f4d26d09fa962edcc587ea3

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=sha256:9218fdc64a3503ad9866b9660b5ff6941aa0433ae5c50f5bdefa98cbfbc2f024

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.625230Z digest=sha256:2b8a50c81b4f330387af137e8ebc03c319db4044f17b6cfaf15802cbf0b7be1d

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:f8eddd1d289a75344ba5b6b0ad5fadb3f97ad1f1fbc5e4459e2c802d0fe0ec50

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:a502ebd5ed08277b190c432fcd6953b011a80dbe5f23e481f3628e983e14805f

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:b171f3e13c2556c0a3c6956aeff644140485fb341b6d9f7184f4be2e1d4c5c18

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.882249Z digest=sha256:b696757c39b9b3a727301d58e8639c0832d3ce535fb96350d10af48d821b31a0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:00.953049Z digest=sha256:9ae53de7e62d28920dcb857d91b0477cb70fa7151c32d80218635507154b8a3d

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=sha256:05e6d5d0c4c6b7c1b7f455c6e25287926f71d9d0c1cb6609669357daf48500f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.080487Z digest=sha256:d837efb3446bd58a7e63bd5bd60bff52590fbe3ca5e342dadac8444d3d397e3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.142246Z digest=sha256:398ba786e62acfac69e8a46b2820a6c44b5f5da7758d72aa8f511eaaa1b55112

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=sha256:60aed86b726d65f4816f8179ba026b2dcdab351f07a81650ac2860786caf51ec

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:adec9080024935447819f5ce42168d020ca423b89bc425a6461988bb26db90c9

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:b5f5819517572d63ac17f238f8c42ae9930c388a38f1a13c5d8cc0fd881c070c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.393167Z digest=sha256:d27cbc441e5b34df3797e6cf8a28458a97fb7b99d2c3d17bf7dbf4343e0e6642

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:d4047304dd9b6ccc8d1239413e10d909d5cf58847d6a6001c41b55fa31f43125

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.551212Z digest=sha256:8dac2b9365a40bab866e105614d31a313252732afe078b16db41c398a2eb9084

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.649747Z digest=sha256:7f081c2dc53383053fd1832249384a8859630e46792b52937417e6bb763fd148

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.710719Z digest=sha256:7bf52e3ba041d1fc6b82eb17e43e50c5b09c6ae842e97ecf2d0c1d4584a1e493

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.771705Z digest=sha256:f1ce8c2517ec5e1b1202f552ea91067f5dce409b21e55096aaf6cec2f483e889

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.845662Z digest=sha256:ffc7cbae20ed73c2b31a7fa2f0e7e8597acd94733ac2c1d707e7980e129b4219

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.905765Z digest=sha256:baa8ac9378cfd0fc880a1f722e326414c13d9a9f13bbf2a6b6cbdd6643540311

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:01.983315Z digest=sha256:31c6a0bbc22a4a010cf87a8e2b09a814331634608d07bda384eea940ec0e8878

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=sha256:8d5a15701bdfafa479f5d95c1b41bcff18e3334549c4b745f56fd840907217e4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.118343Z digest=sha256:79f9d97e8017fb408c017d1adac784a55071075d6628ccefb7576263ae246c62

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.200481Z digest=sha256:206e38330ba9a75c4e8eae26ef30a73d5e3aef9c0a7b65c232a06cc7c9ef7f1b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.243558Z digest=sha256:23632ff3d0b6da93b4ad2a220847fc651d4b358c464e55bb94a3362795f866e7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.397580Z digest=sha256:877fc36de73b5f883a8c5160ab830e09b5e23bb5e10768a08fb52307b7267f7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.535725Z digest=sha256:9fabe62c9a6d55223f49f9cea2ad64bc71448116cdaac648a34af927b1dd968a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.650088Z digest=sha256:f0404ad953b10a5385b4f495b3b4919636413f113d6919208b340edb25c45b1d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.781798Z digest=sha256:e328f3bb641d357e6ddc33e2db03eb10a0a48b518e5f539b43612e5601a45cef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.893585Z digest=sha256:6eaca882624b81d68de3dfeaac838ddcf69ab0c788900b192c18b1891fabb6d4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:03.027803Z digest=sha256:94990497992d6886c5938b2b0b47f176ce9e06054f442605fc166dd27136d6b1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:03.173552Z digest=sha256:941f4c028253e4c5b0b492590b46376d1cc24299058701baf4b650d6f42d53ab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:03.263656Z digest=sha256:5cb133adc90f65cc25831723771972eb3cfeb0655a4a04e15c33828645e3b853

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:20:02.280571Z digest=sha256:522182876709e74a4f674c3253abe44246e80d0ac1d752af8e9cd76002bf3f77

Pith citing papers

No inbound Pith citation observations are available.