Paper Citation Record · LEDGER

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.15270.

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

pith.paper-citation-record.v1
2411.15270 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:47:47.175409Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

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

measured 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

23 of 23 outbound references displayed

verified exact1
verified fuzzy14
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ee5221a-00bf-4879-984d-ff19993d8556 · outbound

This paper cites Natural language processing: state of the art, current trends and challenges,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Natural language processing: state of the art, current trends and challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.664976Z

Source-reported events for the cited work

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

Observation 0c33d46f-1ce8-4911-ae12-c0c4dcdde75c · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Sentence-BERT: Sentence embeddings using Siamese BERT-networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.037179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682f810e-a81d-4a31-9927-a8359adf1e13 · outbound

This paper cites Practical natural language processing for low-resource languages.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Practical natural language processing for low-resource languages

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.635298Z

Source-reported events for the cited work

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

Observation c094297d-5be1-4761-bb1d-a8402413a6bb · outbound

This paper cites Progress in machine translation,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Progress in machine translation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.616015Z

Source-reported events for the cited work

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

Observation 25a6ee4c-e23d-4bcc-b8a4-927ec11d4e92 · outbound

This paper cites Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali- English machine translation,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali- English machine translation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.598342Z

Source-reported events for the cited work

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

Observation 3dcebfc5-33ba-402b-9879-70ad03445003 · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Efficient Natural Language Response Suggestion for Smart Reply

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.062424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80668e42-41a1-4d00-a778-910b821cacb8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Distilling the Knowledge in a Neural Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.069016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c2f2a1e-fa9a-40c8-90f1-d8ad2dd78f0a · outbound

This paper cites Supervised learning of universal sentence representations from natural language inference data,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Supervised learning of universal sentence representations from natural language inference data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.576762Z

Source-reported events for the cited work

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

Observation fbfd3ce1-9e4c-4da7-906c-50c057164f46 · outbound

This paper cites Universal sentence encoder for english,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Universal sentence encoder for english,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.557090Z

Source-reported events for the cited work

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

Observation b78b1025-b838-4707-b5e8-371a24203582 · outbound

This paper cites Making monolingual sentence embeddings multilingual using knowledge distillation,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Making monolingual sentence embeddings multilingual using knowledge distillation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.539292Z

Source-reported events for the cited work

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

Observation 0c4fc028-5bfd-4c1a-927d-6bbd2f188421 · outbound

This paper cites Text classification using multilingual sentence embeddings,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Text classification using multilingual sentence embeddings,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.522144Z

Source-reported events for the cited work

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

Observation 2f443b20-e243-417b-bc98-82360da8313a · outbound

This paper cites Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:47:47.286133Z

Source-reported events for the cited work

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

Observation 2fd6ffc6-4bed-4671-9563-fc235da445dd · outbound

This paper cites A large annotated corpus for learning natural language inference,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques A large annotated corpus for learning natural language inference,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.504952Z

Source-reported events for the cited work

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

Observation a672114a-4560-4890-83ac-0303e6edf186 · outbound

This paper cites SimCSE: Simple contrastive learning of sentence embeddings,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques SimCSE: Simple contrastive learning of sentence embeddings,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.111659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed99d499-aa0d-4a5d-a858-222f3ed266fc · outbound

This paper cites Simtde: Simple transformer distillation for sentence embeddings,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Simtde: Simple transformer distillation for sentence embeddings,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.471969Z

Source-reported events for the cited work

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

Observation f7250374-c2da-4242-9427-89c520f9cfd3 · outbound

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

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.131210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5886de1-aa9e-4f6b-8242-3bd6dbe48a92 · outbound

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

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.140515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02529c9a-6c53-4e77-9f08-b7671b9bdc48 · outbound

This paper cites BanglaParaphrase: A high-quality Bangla paraphrase dataset,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques BanglaParaphrase: A high-quality Bangla paraphrase dataset,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.422302Z

Source-reported events for the cited work

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

Observation 4dda476f-8572-4c84-8699-675c76b83516 · outbound

This paper cites SemEval- 2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques SemEval- 2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.403615Z

Source-reported events for the cited work

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

Observation 406f5291-ca5d-49e2-951f-4102ede43344 · outbound

This paper cites Classification benchmarks for under-resourced bengali language based on multichannel convolutional-lstm network,.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Classification benchmarks for under-resourced bengali language based on multichannel convolutional-lstm network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.379967Z

Source-reported events for the cited work

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

Observation 1bee86be-025b-4461-bfc8-7a3c9f1f8cb0 · outbound

This paper cites Visualizing data using t-sne.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Visualizing data using t-sne

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.168698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75176155-a703-433c-abb7-fbe7790d0e2d · outbound

This paper cites L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:47:47.175409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65241908-b96d-4bee-9409-e3a6307ecaa3 · outbound

This paper cites Available: https://www.amazon.science/publications/ simtde-simple-transformer-distillation-for-sentence-embeddings.

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques Available: https://www.amazon.science/publications/ simtde-simple-transformer-distillation-for-sentence-embeddings

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:47:47.452402Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.