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Paper Citation Record · LEDGER

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2505.21354.

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

pith.paper-citation-record.v1
2505.21354 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:58.332904Z

measured 66 of 66 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:48:52.372383Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:54:36.292171Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact3
  • verified fuzzy32
  • unresolved28
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8851d845-14bd-410d-b0cc-bf2012b374cd · outbound

This paper cites Enhancing multiple-choice question answering through sequential fine-tuning and curriculum learning strategies.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Enhancing multiple-choice question answering through sequential fine-tuning and curriculum learning strategies

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.833761Z

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.

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Observation 8600f7f3-815b-48d2-8ac3-1ffac026731f · outbound

This paper cites A seq2seq-based approach to question answering over knowledge bases.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A seq2seq-based approach to question answering over knowledge bases

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.502624Z

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=2026-08-07T13:35:51.531866Z digest=sha256:68bb7f44794f0387eebcc8a1bea07be32123c0b537b341fe6509873e5a41a804

Observation d4094523-7204-4a38-9d20-f646647a4d33 · outbound

This paper cites Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:18.212619Z

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=2026-08-07T13:35:51.615049Z digest=sha256:ee3de468ea955645ad0fddcd8493a0bbc38f6cb6fe6fa1f8efa3662d0ee6b742

Observation 008fa829-38aa-4454-9bdd-a8c28c70b47b · outbound

This paper cites Ask me: A question answering system via dynamic memory networks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Ask me: A question answering system via dynamic memory networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.920925Z

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=2026-08-07T13:35:51.717616Z digest=sha256:9abc18ff8a941cafa6b79f782ac1ac40cbeac7b8406cb5313a4c144aa54477dd

Observation 43b0cf24-010b-4154-a8eb-0bcf08ff03ff · outbound

This paper cites A goal-driven tree-structured neural model for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A goal-driven tree-structured neural model for math word problems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.612251Z

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=2026-08-07T13:35:51.824747Z digest=sha256:7405d3258f3236126f7b8348eb35b059bcda0b2dcd0372ae7159883c8e81c957

Observation 8ad62dc8-66dd-43ab-bbc5-909ac7b78293 · outbound

This paper cites Teacher-student networks with multiple decoders for solving math word problem.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Teacher-student networks with multiple decoders for solving math word problem

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.346877Z

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=2026-08-07T13:35:51.963859Z digest=sha256:d17b731e3d2004d579d8d931613a7d8ad7094924107301a6ae20cdcc0aa487eb

Observation 77378579-5fe6-4515-b87d-ccfca2c06b86 · outbound

This paper cites Mwp-bert: Numeracy-augmented pre-training for math word problem solving.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Mwp-bert: Numeracy-augmented pre-training for math word problem solving

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T13:40:17.131973Z

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=2026-08-07T13:35:52.113434Z digest=sha256:1224a096c6d93da27d15ca1d61fe43e3bb8512f211135804540275565adbb152

Observation eeafc885-9365-4334-8be1-8f6bd6ee5fd0 · outbound

This paper cites Template- based math word problem solvers with recursive neural networks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Template- based math word problem solvers with recursive neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.963985Z

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=2026-08-07T13:35:52.218105Z digest=sha256:a503f1090c21ef726ec55ace7defbfc5c79d9988cd42d2a9e22465dfdac05ff0

Observation e6d485ba-ff5a-470a-a1a6-0a549a150e01 · outbound

This paper cites Graph-to-tree learning for solving math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-tree learning for solving math word problems

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.780074Z

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=2026-08-07T13:35:52.282854Z digest=sha256:634982232ac7539ac636d41cbbcccb580da16ac635a7cdd975bd9ef517565025

Observation 9319b5da-d2f8-48b0-8f8c-e39ede38c5a8 · outbound

This paper cites Solving math word problems with multi-encoders and multi-decoders.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Solving math word problems with multi-encoders and multi-decoders

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.515749Z

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=2026-08-07T13:35:52.411073Z digest=sha256:f89ba03a5a60e438c23313fa8053615c4731fa8715170b958b4b2d31daa6374b

Observation 87a85faa-8ea2-4ccd-a7b1-3360007957ac · outbound

This paper cites Some challenges and grand challenges for computational intelligence.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Some challenges and grand challenges for computational intelligence

Reference 11

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verified fuzzy
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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.

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Observation 1c1db8b7-4c8f-4a35-8831-83c0bc4a8131 · outbound

This paper cites Mathbot–a deep learning based elementary school math word problem solver.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Mathbot–a deep learning based elementary school math word problem solver

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:16.003993Z

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=2026-08-07T13:35:52.608168Z digest=sha256:be8a67ddf7087e6a4688bb3475c7af03456c062871d7126a0b15ebbc2d27847a

Observation 3b7962d4-768e-4320-a469-0d32f8fcc6ed · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training Verifiers to Solve Math Word Problems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.682195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:52.682195Z digest=sha256:6852ad95470a26675b603590ff89ed1fa912e9440d88ffa34955a97f7b6c3a82

Observation 57218e2c-76df-457c-9acb-43dfc6b8d106 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.842609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:52.842609Z digest=sha256:9f23ff39df0d9a4f82672fcf0c91bd07ede913880f22a03971c52bc730ccf3ad

Observation d5def083-0891-4bd8-a4d1-06ebfd8c36ad · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.954971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:52.954971Z digest=sha256:520d104e0b5c8ada80c050a4ae08e210d89230d7affcb5ce3a71e55d46d6b08c

Observation 674e35c4-97d9-43f0-9e43-0cfb4edf6dbb · outbound

This paper cites List of languages by total number of speakers, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning List of languages by total number of speakers, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.782650Z

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=2026-08-07T13:35:53.102784Z digest=sha256:e22c87b45858b7e3ed6662da0527a0265599d4b20f988522aa08281c00ab422f

Observation c65fac9d-886f-4510-b384-9a7b661ae28a · outbound

This paper cites Gpt-4o: A new multimodal ai model, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Gpt-4o: A new multimodal ai model, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.669620Z

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=2026-08-07T13:35:53.246923Z digest=sha256:4933f4404a1893789306318dce58be722541ca0c342d7ebd7945ed1be3d930ae

Observation 0d46136d-2df9-4a59-961d-14a70417d229 · outbound

This paper cites Gpt-3.5 turbo model documentation, 2023.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Gpt-3.5 turbo model documentation, 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.521933Z

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=2026-08-07T13:35:53.370995Z digest=sha256:d757f2d23bc0489d3fb91d303f062dd70601910eb566ab4ec7d1aa40db590689

Observation 8fc2c86b-ab4c-45cd-9690-806e2696735b · outbound

This paper cites Llama 3: Open and efficient foundation language models, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Llama 3: Open and efficient foundation language models, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.320714Z

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=2026-08-07T13:35:53.439206Z digest=sha256:4d294feafa712713020f7cd58c4810174f5b07699b13694b35db3fc0b9b2f93c

Observation 2a362c75-9771-42b8-90bc-21d20f3e98b4 · outbound

This paper cites Deepseek platform documentation, 2025.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Deepseek platform documentation, 2025

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:15.131908Z

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=2026-08-07T13:35:53.539412Z digest=sha256:42d6e69bc7e5538c5c8317e8f88c5a2b5d10e9481678bc6dfca7d5abeb81c3fe

Observation 9a54243e-cd0a-4aca-8ddb-0abab117bf25 · outbound

This paper cites Qwen chat interface, 2025.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Qwen chat interface, 2025

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:14.978805Z

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=2026-08-07T13:35:53.651208Z digest=sha256:033a4d70f8632b457991734c4def80073ed7087ca37e6fc322f58b19466c1ceb

Observation 8214b294-4a30-4636-b521-9d6ffbd1e15e · outbound

This paper cites Empowering bengali education with ai: Solving bengali math word problems through transformer models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Empowering bengali education with ai: Solving bengali math word problems through transformer models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:40:14.839511Z

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=2026-08-07T13:35:53.735697Z digest=sha256:2ad35e12524357e9c36caa7ab673de209e7ebfeb35c8a69f94eeba68d845d3d7

Observation 83bfabbc-7f61-498b-b0c5-77c8b2ae0a01 · outbound

This paper cites Deep neural solver for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Deep neural solver for math word problems

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.908391Z

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=2026-08-07T13:35:53.868510Z digest=sha256:bb725c4777c3c54042f675267813c4e914dfb39ef45e7cab235a0ebb8098d5bf

Observation d635a67e-b8d4-4848-8659-2bd2654c77bf · outbound

This paper cites Variational Neural Machine Translation.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Variational Neural Machine Translation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:36:00.484103Z

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=2026-08-07T13:35:54.072148Z digest=sha256:a6b35970f53a294db33beb599cf2495b1df7fbcc69819d7b9a98e35ff1157a8f

Observation 6d94e38e-7064-4095-8477-46bcd989d057 · outbound

This paper cites Neural math word problem solver with reinforcement learning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Neural math word problem solver with reinforcement learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.714581Z

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=2026-08-07T13:35:54.176003Z digest=sha256:cf9c2b7c83cb62634b37a0b4ee454019289c75b608167421aef4316fe4b0c8cc

Observation 1be61eb5-4e0b-406a-a17c-4c93a2d86f73 · outbound

This paper cites Graph-to-tree learning for solving math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-tree learning for solving math word problems

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.504952Z

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=2026-08-07T13:35:54.283405Z digest=sha256:4c87a11f03979a22d4e499ed62ac6760dd731bb362040c5f5c3da3c4fbcd896c

Observation 6abb0704-619e-4892-8b48-f3b3aca39bdf · outbound

This paper cites Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.354275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.354275Z digest=sha256:208789862b99e8c8ab5fa5cf56ad1a5d47c4fc3b0d99cef0261319b78f50a7b2

Observation 98692119-05b8-43c7-8810-f682f09fe786 · outbound

This paper cites Solving math word problems with multi-encoders and multi-decoders.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Solving math word problems with multi-encoders and multi-decoders

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.316551Z

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=2026-08-07T13:35:54.444653Z digest=sha256:647e07413f822563248eba7d66925d472cfc43db6b63f8dc2fbf01a0c2375599

Observation 1729d80a-e88c-46a7-943b-d25b5dfb7f04 · outbound

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

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.662061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.662061Z digest=sha256:a96a25d6574c69598c1b78dd63ef7c73a20ba293b055fbc954586e29ccbc6524

Observation 75d3f937-d22c-46dd-aaad-76669dd15dc9 · outbound

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

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.840340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.840340Z digest=sha256:a432970a64f88c05007732be4c9bb1089950815bfab36c6a41990ea39c831b93

Observation 7ae23613-e2fa-4952-a748-2d27d9f27953 · outbound

This paper cites Language models are unsupervised multitask learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Language models are unsupervised multitask learners

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:54.957922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:54.957922Z digest=sha256:7604a203d1fa06bcf4b8a679161756d009b310c47b4015b0fc7e5beb6368c46f

Observation 8c2e10b2-72be-4269-abf7-51451dbe5732 · outbound

This paper cites Transformers as Soft Reasoners over Language.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Transformers as Soft Reasoners over Language

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.046610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.046610Z digest=sha256:183c7886be47477d1e081ff36a1f3bf495b2d1348dcf20ea394a5ef2421863c2

Observation e163eb97-36bb-4371-9149-848ebe4bd990 · outbound

This paper cites RuleBert: Teaching Soft Rules to Pre-trained Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning RuleBert: Teaching Soft Rules to Pre-trained Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.136064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.136064Z digest=sha256:21204554f38c93f0ef06c8ccf69bf3f4350d8307feb53aaaa3b4c9f8e06ef795

Observation 8b52942e-51d8-4d71-8420-7d1f87d99aed · outbound

This paper cites Explainable multi-hop verbal reasoning through internal monologue.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Explainable multi-hop verbal reasoning through internal monologue

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:36:03.055518Z

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=2026-08-07T13:35:55.266260Z digest=sha256:1f2978bd057e1b40faef50219be821b42506b96f633b78dc66da7f49e57cfe45

Observation 2fdc9d83-014e-4887-a8ac-1bff9f9c4eeb · outbound

This paper cites MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

Reference 37

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source=pdf_text observed=2026-08-07T13:35:55.424825Z digest=sha256:4736cae583463e9cb9f3707423ae03543fd8f4ca7a180e224e15db08eb1fd0ee

Observation 25e3c613-84d7-46a2-b281-9f5a66256335 · outbound

This paper cites Math Word Problem Solving by Generating Linguistic Variants of Problem Statements.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Math Word Problem Solving by Generating Linguistic Variants of Problem Statements

Reference 38

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local_arxiv, observed 2026-08-07T13:35:59.646307Z

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=2026-08-07T13:35:55.503120Z digest=sha256:b0cf37c17f0dc94096fbc83027f6959afae32b373b1b37805ad0de8da9c76c80

Observation 7266a69d-9224-4f81-b5f4-c84110831ecf · outbound

This paper cites Translating a Math Word Problem to an Expression Tree.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Translating a Math Word Problem to an Expression Tree

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.619929Z digest=sha256:2324a570d70b87eeece8fc2fb79e9a21137ca550f394f8ba13c6f7189df4492c

Observation 23ae65c6-c61e-4181-8e15-9bea9da0f5f9 · outbound

This paper cites A goal-driven tree-structured neural model for math word problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning A goal-driven tree-structured neural model for math word problems

Reference 40

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raw_fallback, observed 2026-08-07T13:36:02.904115Z

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=2026-08-07T13:35:55.749427Z digest=sha256:7cb97737cb1ddb99a580638e90af3c418482a6d198aa02fbdffecb7dba8287f7

Observation 56c67967-314b-4e1f-8737-6692d35ffde6 · outbound

This paper cites WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems

Reference 41

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local_arxiv, observed 2026-08-07T13:35:59.362226Z

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=2026-08-07T13:35:55.849692Z digest=sha256:e5700d8be8ad612a716818465e02a3c0a8a5a5fd5be1c9ee5ffa6e5665eeb9b5

Observation eb929e99-d3ad-4b0c-a971-a10a344d65d1 · outbound

This paper cites Making Large Language Models Better Reasoners with Step-Aware Verifier.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Making Large Language Models Better Reasoners with Step-Aware Verifier

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.915561Z digest=sha256:aabf367785861220eefdf48f0736e576627896a69d420d13ecfbb328f26e8bb3

Observation 7548603f-a226-4256-8d9b-08ca34e75e25 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 43

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source=pdf_text observed=2026-08-07T13:35:55.983498Z digest=sha256:1dabd86c512a7a11799ffd07a05086a1ba51ada962257a6a70af66d120af6d24

Observation b2888d39-e4c4-4ff9-ab40-37e5e404228e · outbound

This paper cites Can Rationalization Improve Robustness?.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Can Rationalization Improve Robustness?

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.075498Z digest=sha256:5f85720b21f0081288406602c7c2e81c4a22a03ff62fef7bedc9ead7eb27aa75

Observation 9dcd28d4-2c9b-41c4-9472-608f808ae460 · outbound

This paper cites Training classifiers with natural language explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training classifiers with natural language explanations

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:02.655164Z

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=2026-08-07T13:35:56.176922Z digest=sha256:879b0baf80a5caa43881dbc68aa45621ecdb0ee066bf63aafdea0098d98f7fff

Observation 46bad65e-d4ff-4c1d-a223-612eaf007a0c · outbound

This paper cites Benefits of intermediate annotations in reading comprehension.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Benefits of intermediate annotations in reading comprehension

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:02.398713Z

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=2026-08-07T13:35:56.253088Z digest=sha256:7036c9f21799dd428e36dc2174561b3e7313456b4c3b642e7d5a0ccf8bc02acf

Observation fb660a95-cfa5-4119-88b2-4192771532ba · outbound

This paper cites annotator rationales.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning annotator rationales

Reference 47

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no resolver link, observed 2026-08-07T13:35:56.358021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.358021Z digest=sha256:ae84748082bb3ac8a1943bf67972020737bc8b268e8790aad2ad566ccb5dbe09

Observation 6ffd2ebd-bd41-4916-b83b-f8a13badb217 · outbound

This paper cites Refining language models with compositional explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Refining language models with compositional explanations

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:02.134801Z

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=2026-08-07T13:35:56.435417Z digest=sha256:2e22123bb2d71e1175ffd15bc06ca4d8df7ee8630fc425aea1066342a9047b7b

Observation 5f27e3ed-8edb-4f89-8dd0-76adb2938146 · outbound

This paper cites When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.530678Z digest=sha256:ceb5ef3768b01a3ab67cef3fea1de4e30ba25db6777e8dd88f9a4bf7cb35bb05

Observation 84be5499-14e1-4446-a285-c66c0a160a6b · outbound

This paper cites Dream: Uncovering mental models behind language models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Dream: Uncovering mental models behind language models

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:01.828908Z

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=2026-08-07T13:35:56.618353Z digest=sha256:47ee908b05a0af04f49b01c8396fad887027e11cd604cde55280c82cab1870ee

Observation d60b5adc-1150-4d64-8609-2c6d81ba5bc7 · outbound

This paper cites Learning with Latent Language.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Learning with Latent Language

Reference 51

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no resolver link, observed 2026-08-07T13:35:56.712731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.712731Z digest=sha256:ec3f4929c7542fc4065d6758ec3b5c9bad66fec391aa7a7bd13a005e7c33efee

Observation 29694b7a-987b-47e9-8c7f-3aaccbf56254 · outbound

This paper cites e-snli: Natural language inference with natural language explanations.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning e-snli: Natural language inference with natural language explanations

Reference 52

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raw_fallback, observed 2026-08-07T13:36:01.521485Z

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=2026-08-07T13:35:56.837903Z digest=sha256:22177c6bb6bdf18aef325a09b8649c1108915e18e6bdda36692606ef3e01c808

Observation cb320539-7141-4e9d-86ac-f191b02f451e · outbound

This paper cites Explain Yourself! Leveraging Language Models for Commonsense Reasoning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Reference 53

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no resolver link, observed 2026-08-07T13:35:56.897039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.897039Z digest=sha256:6dc2ce1230494da280bddc3a336af06e0bad2cefc51fc5f4f41c94341d598dce

Observation 7a13c995-b724-4140-bf5a-d58e0a8215c4 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Star: Bootstrapping reasoning with reasoning

Reference 54

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no resolver link, observed 2026-08-07T13:35:57.021123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.021123Z digest=sha256:ae62d33ac780846e8e9a98962967dc76639b8c6df2b3b1151e71837db3f8df12

Observation fe6f724e-524d-43b9-a354-60fd4969d7ee · outbound

This paper cites Language models are few-shot learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Language models are few-shot learners

Reference 55

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no resolver link, observed 2026-08-07T13:35:57.172066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.172066Z digest=sha256:4f9b79561f1a87cd0ab6397310ae0a3fb5a1409c391b5ab5c19f51069b0aee8e

Observation aa14119b-d803-4095-9761-da80e3fd3d98 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 56

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no resolver link, observed 2026-08-07T13:35:57.337437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.337437Z digest=sha256:b486c58790108463857b08d4b2baa4e8966ca9e31902b3143d3c02e0f655706c

Observation b6245449-8ca9-492f-b0bd-28c16528a617 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Finetuned Language Models Are Zero-Shot Learners

Reference 57

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no resolver link, observed 2026-08-07T13:35:57.497124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.497124Z digest=sha256:953bc78e57394219685270022fc50268ee98fc3211f97ddda0aa98e95fe40a91

Observation 74d0010e-af61-4bd1-83b0-2fb9dc1535ac · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 58

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no resolver link, observed 2026-08-07T13:35:57.623456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.623456Z digest=sha256:d9afe0d1078080025e50220dee468acb3a13bdb1e1d24ba1c3fea5ae60d7c315

Observation 3595d4e4-9e4d-401a-8538-859fe51b632e · outbound

This paper cites Training language models to follow instructions with human feedback.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Training language models to follow instructions with human feedback

Reference 59

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no resolver link, observed 2026-08-07T13:35:57.688686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.688686Z digest=sha256:aa0072dcf346f46744fba0903850a11bb587461c0a2554154b5dbf94e04cb232

Observation 9e866d84-ed8f-4612-90af-5ec2ce918ba7 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 60

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no resolver link, observed 2026-08-07T13:35:57.789016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.789016Z digest=sha256:78d7e6a4c5c0dee0d34ead62663b7dc1e6cb7cc29f7722695b45c850157bbea0

Observation 78e30e36-b975-45b1-bc5f-ba9282264e09 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 61

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no resolver link, observed 2026-08-07T13:35:57.925049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.925049Z digest=sha256:b76c3218f5e44607810275a2ef4f3cd9f4a9f201308532368a4ca32571156625

Observation 0f9a0883-cd8d-4e81-b7fe-4965d132c61b · outbound

This paper cites MEGA: Multilingual Evaluation of Generative AI.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning MEGA: Multilingual Evaluation of Generative AI

Reference 62

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no resolver link, observed 2026-08-07T13:35:58.052500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:58.052500Z digest=sha256:198905141dcc142e262252122ca9fa2c9d562b8aea3a80ce088480fb8d1869fe

Observation 99a19119-5971-4d99-b1c3-3eadeff14aa0 · outbound

This paper cites Fine-tuning gpt-3.5 models, 2023.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Fine-tuning gpt-3.5 models, 2023

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:01.194660Z

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=2026-08-07T13:35:58.139884Z digest=sha256:154cd457f1eb94dd5bb7773d03befb736f0250ebfda842f648772ab286b34185

Observation 97879762-e93c-46b4-8c7b-b17d59014c8d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning LoRA: Low-Rank Adaptation of Large Language Models

Reference 64

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no resolver link, observed 2026-08-07T13:35:58.230504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:58.230504Z digest=sha256:54f1fce9568770b0009e67a75bced63c0802572871b10fbd51dd2a0424371de2

Observation 82dc3964-827a-49eb-afae-1569592376d5 · outbound

This paper cites Lora: Low-rank adaptation of large language models, 2024.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Lora: Low-rank adaptation of large language models, 2024

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-07T13:36:00.832899Z

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=2026-08-07T13:35:58.332904Z digest=sha256:6e7d21a9f1f07252176381f40cc6f692ce86a1b4ce6d39a65ebe933fc5b4bffe

Pith citing papers

Observation bb1a6417-046d-41cf-8d28-d87ddfef7b66 · inbound

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali cites this paper.

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:42:46.016588Z

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=2026-06-28T22:42:38.908829Z digest=sha256:b882ea14843d6d7a86d18921821299f70f4f89fa6be1b9d75a865b297c41d7a9

Observation 7b7828bc-40f4-41ef-b827-963edcc30c44 · inbound

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali cites this paper.

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 4

Resolution
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arxiv_id, observed 2026-06-30T10:54:36.293619Z

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=2026-06-30T10:52:20.417390Z digest=sha256:79bd25edf2aeea316de382251ba5123d375e039ff9acb22d095e95152982df57

Observation c627aa7e-3546-45aa-901f-aea399da88e1 · inbound

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models cites this paper.

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning

Reference 36

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no resolver link, observed 2026-08-02T05:48:52.372383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:48:52.372383Z digest=sha256:7efb886748ccb9ebe4afc99a31598f730306b7234b268a6b27839272fe3e053f