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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 8 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 2026-08-08T06:32:00.761636+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
  • malformed identifier0
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.438320Z digest=sha256:8bbcebcafe88380fa79e0c358245db52cc72cb38dec83d9f605af99f2140d3a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.531866Z digest=sha256:f30f2779d8abbccdf6cc1747c302bff69424b90bf826d93825f0bddb19b5dd48

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.615049Z digest=sha256:fbe2390c8082c5bef2f060e891a8ed42817bc800f2fb5332a596b0255be3a785

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.717616Z digest=sha256:c8814be8b75d5293a87951706ddf1b5538f8384a4ace6ca79b4af73edb9505ad

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.824747Z digest=sha256:b7eca70fae8e8dd425258dcf472e969940a824df7357a046d52ac4f4c0fc0afd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:51.963859Z digest=sha256:8ad974c996b90be33da7df104fec03053f0800f441d76fef860625653c33a05b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:52.113434Z digest=sha256:860bf82500fb3e8927d4e55c4545696433323b0cb6867c80520dfe5c8adc17b2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:52.218105Z digest=sha256:8ef1a49c62159de7dca0c0cef0de21ce1b4b910e4dfde9e226836f0d2f5b3d1c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:52.282854Z digest=sha256:d2fc73285f44a27589ca68631749733011e72f1b29f300b2bd05083794d1ee1d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:52.411073Z digest=sha256:774f0ccb9d82ba41d648274e3603f263befc668448074e6ee979af95a1cf29bb

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
raw_fallback, observed 2026-08-07T13:40:16.226682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:52.608168Z digest=sha256:f5793f04e334858b1fb32c8cfb588d7d08d4a0928687e8bb14436547b7e03cce

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:f4b8d7d4734ef4ab4d87969919241a0a8488536f6d2d2eaf9c712593aeae4267

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:c6b07b6e4fb1e84a7f27ad17125c2bdc577139940fddd2f690d3d60be7d46695

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=sha256:2107dccaf2184baf590b55e88cebccf05d26f786317431fcd967180f9b87ffa5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.102784Z digest=sha256:c42726c47a0957a5e3a295b6a82093e7d94c824b4aa77a5065d16fd0db414416

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.246923Z digest=sha256:11daeccb047751428537da583e86bf707cd7f5eb3e5a9b3fa85b6a9061d44624

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.370995Z digest=sha256:3f9ddb5dcf66ab246be76789da2bb299ee0d1674565b226ab8325123c99b64cb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.439206Z digest=sha256:69dc2a1ad283e70ebcb271b97c53a50e75c134becd0c2443ece9089e6b7cd931

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.539412Z digest=sha256:5a12c6132269e8e51c69a7d38b483e99346fb4f9685fb8212b435eb4707efc91

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.651208Z digest=sha256:a686a72b44afbf6edc2728ded5642724abd74688442b03c74238c3872da91343

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.735697Z digest=sha256:e36cd44775b5b6933e11e475a45bb0841d4591299e0a4a506966354af8d6bab7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:53.868510Z digest=sha256:8840109ba17952e5f0fadadd5f3ba86126f050eae3a65ec6df0b2b526df28e9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:54.072148Z digest=sha256:adf5cf5eee53e128402090f4cd42d75cb320e2dbd2c0a37011a60906ebafea92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:54.176003Z digest=sha256:a0100cdcd7756990992706c18d522fce98a324146d7176a17edce38a762c4b9b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:54.283405Z digest=sha256:e3edf7ae26db36fcce5e818b42f33555e2a14569d1d6695b754482c928b22c09

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=sha256:7e423ce4d253e0cdbd3bc9fa08c58cf1e233404d47572f075e5aabe27d7f6a0f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:54.444653Z digest=sha256:3c9d6ed06d7e3f9b54b9ab453979af5adf14e39619c0bb9fd682c195e4797036

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=sha256:3a06d5c373e0ebff2632642126db57a47ccac72324f0c8f65b3be695222b37cd

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=sha256:6a08b3c16243d85f73e0a42f3e9a5da03c2290065b7c81df894060f70fafc036

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:e2249e047efea566793c4500e564ba8212eca19124b0606f48fbfb54b8a79944

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=sha256:08dc5e89efaf5742c0aac7c69d76c600341c967676b67516d4ff006d37ada368

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=sha256:5a7f9db253c1e843cee85a6badf84a0e4ebd73a617b8af09cafaf6c4f0cc36ed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:55.266260Z digest=sha256:5a52b6c6cb962a3399a3711bf386f5f4119c79b4beb44aebaae6bddbda56cb5f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.424825Z digest=sha256:e3657a1c022d4758efc640dbc77ea391d40f5d35e8c5cbda761bdfcd3dffb977

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:55.503120Z digest=sha256:325ded0bb20e1292ffc8e9ccbb60d68c30e20e9ad1dbfe79d0298d160660beef

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:bd4e58a54a82326b83fea1aae18c8a3f79b37e44ff5f4e6b3b5758084adc97af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:55.749427Z digest=sha256:4082715270dffb7b094affe5d6cf84cc6f562567b03f075612982ddbf691af45

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:55.849692Z digest=sha256:b9d74e7f53ed5346e80344273ca4b07c8323ad5d94c7a0a8995ad7e7473943fd

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=sha256:4ebb8386ef5f7c38a49f0afbab9b1be948c547a24b2ff1ad3e04563233575454

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:35:55.983498Z digest=sha256:76b1bb75907a18d24f2ebfc52c0365c06253ae98b577b0d1dc319b5992feda31

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:f57febc8eefb0793a304a21b44fbf0b5d6fc7c78f8c8e8604a1aca3cc9279f86

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:56.176922Z digest=sha256:65b40c9b5de96faf8bf971564206ecfec338c00286ce626a62f2c372f1ec6462

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:56.253088Z digest=sha256:87b83e13b2f0e363b02fb56cf8a7d0e43a45fe152935d27b9c2db44e2227077d

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=sha256:7a8310ae61fab835078219ad03d36f99b9ff9828c50494d0bee770d824e4de4c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:56.435417Z digest=sha256:8e4684bfd528ceb1b1e6e170ea527b62db9251c7da87a12d37b1edeb887edcc1

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=sha256:169040fa2b49e77799730a1766dd30e47bc92f1183fb6715cdf43b109c29614a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:56.618353Z digest=sha256:612dd27a1c66c4978de2d76e3cd21f63149b6a6ce48870ec1f33b7bb071aef27

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=sha256:92af070eb6e226a3f669f46d718fbfff3ed660ee2c496f77ee5766af370b9642

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

Resolution
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:56.837903Z digest=sha256:e09c01722cbcf3f647b5ad4d101970560fba3422f63878f9cb755e99237e151b

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=sha256:9b38e0b37e39686fe1968fabfe99bc3fdf7c8c54caf9db52ceced367ff784067

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=sha256:68d67a5f285e3f1a789e611d56b7b9da7930603c369b54bd7a2b769b61d75631

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=sha256:7384209e41060dc3918ab3694990250e30092a4615c74add49424c3ea4d53ef0

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=sha256:7baad542572be9a9ac42da3cd5d8b1a2503ac63159e9cce63e3c11e22042c6eb

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:c9c62f8e05460a3e86c5674eb945e9ff05570cbe6eee24ff656446f27cbfcf65

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=sha256:4645b32e6a883a95c0cc76178766b87aef447826f9d26b2f257b4a6b16802981

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:c8d191cff1b42bdae410b866ebe8c9df56ed2adc99328e7d1a4002803c8e7334

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:57.789016Z digest=sha256:7c84eda1e30faeafe7346aeca4f5b1e4df1ef2147965f2ca7603d669cb6f66a5

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:c507eb25c3fab693a7cdb97489d16c335362290ec4359dd1a68828ad4d2f4c91

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:d9004fd3ddbfdac6d5abfb4e4f60a9e2d7071193d8620b87765e7576a3268e01

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:58.139884Z digest=sha256:b69329b2d1dd433f710ca7b45754f298a294b5fbfb292b092b4e3357dbb7b559

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:b2614b45f0e9ff87b8b095126b3a7f4381afac57465e2b14f5b7aa050273ee5b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:35:58.332904Z digest=sha256:0eebcab00e689ada2064751f037cafbc1e77d2e0258209b9399b474fc8ad1856

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:42:38.908829Z digest=sha256:98a48e489fb056910dc162ed351ea8814f59147d162bd348a05b7054278f5125

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T10:52:20.417390Z digest=sha256:084aabf6f8b4ec9108542d0a9aeab1d7b9815612d92790dd0a7bbee9f90e8a84

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=sha256:3b49312c6cbe659f696e1d82f84bd65088363705eef384bafc8c98ed67aad55c