Paper Citation Record · LEDGER

Assessing Reliability of BERT-Based Models on Question Answering Tasks

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.10806.

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

pith.paper-citation-record.v1
2608.10806 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:07:13.928037Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy22
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a1be73d-317c-4a57-98c0-fb99681b7f07 · outbound

This paper cites A deep network model for paraphrase detection in short text 29 messages.Information Processing & Management, 54(6):922–937, 2018.

Assessing Reliability of BERT-Based Models on Question Answering Tasks A deep network model for paraphrase detection in short text 29 messages.Information Processing & Management, 54(6):922–937, 2018

Reference 1

Resolution: verified exact; doi, observed 2026-08-12T17:07:13.981666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0d6c6af-989f-4cad-9eb2-fd5b364f1c3a · outbound

This paper cites Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.802210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809d3d01-6bef-4d9c-bd9e-9eae6d8a8114 · outbound

This paper cites Understanding dropout.Advances in neural information processing systems, 26, 2013.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Understanding dropout.Advances in neural information processing systems, 26, 2013

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.387198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fef1ec1e-a644-4c25-954c-594549ec1180 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.811516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c26466-de22-4f5c-b7be-709bbd1b0260 · outbound

This paper cites QuAC: Question answering in context.

Assessing Reliability of BERT-Based Models on Question Answering Tasks QuAC: Question answering in context

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.367584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ace65953-b12c-4f6a-91f8-cd1ec0e1ac54 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language un- derstanding.

Assessing Reliability of BERT-Based Models on Question Answering Tasks BERT: Pre-training of deep bidirectional transformers for language un- derstanding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.353272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db6180b0-1349-45fd-8a43-e49130a750d6 · outbound

This paper cites A review on different methods of paraphras- ing.

Assessing Reliability of BERT-Based Models on Question Answering Tasks A review on different methods of paraphras- ing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.340648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1a20b2e-63dd-4963-b858-61a04f68f717 · outbound

This paper cites Natural language based analysis of SQuAD: An analytical approach for BERT.Expert Systems with Applications, 195:116592, 2022.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Natural language based analysis of SQuAD: An analytical approach for BERT.Expert Systems with Applications, 195:116592, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.329348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c6a893d-71ea-4184-b24e-4d76ec5f1ca1 · outbound

This paper cites A survey on hallucination in large language models: Principles, tax- onomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55, 2025.

Assessing Reliability of BERT-Based Models on Question Answering Tasks A survey on hallucination in large language models: Principles, tax- onomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.317049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbbac51a-40b2-4f7e-a93b-09afb0ad4b3a · outbound

This paper cites AlBERT: A lite BERT for self-supervised learning of language representations.International Conference on Learning Representations., 2020.

Assessing Reliability of BERT-Based Models on Question Answering Tasks AlBERT: A lite BERT for self-supervised learning of language representations.International Conference on Learning Representations., 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.303939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f110daa-c66d-4820-813e-d57af02c7443 · outbound

This paper cites The measurement of observer agree- ment for categorical data.biometrics, pages 159–174, 1977.

Assessing Reliability of BERT-Based Models on Question Answering Tasks The measurement of observer agree- ment for categorical data.biometrics, pages 159–174, 1977

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.291640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44efd00f-0caf-4c1e-bc4d-24bbcd777ece · outbound

This paper cites Ensemble ALBERT on SQuAD 2.0.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Ensemble ALBERT on SQuAD 2.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.844836Z

Source-reported events for the cited work

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Observation 6431219a-9d4f-499a-bc88-067e32f36e0e · outbound

This paper cites How can rec- ommender systems benefit from large language models: A survey.ACM Transactions on Information Systems, 43(2):1–47, 2025.

Assessing Reliability of BERT-Based Models on Question Answering Tasks How can rec- ommender systems benefit from large language models: A survey.ACM Transactions on Information Systems, 43(2):1–47, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.280073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7313363-cee6-4234-85c5-b501c2b4225c · outbound

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

Assessing Reliability of BERT-Based Models on Question Answering Tasks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.853253Z

Source-reported events for the cited work

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Observation 256fdb18-4bbf-4da5-afd8-a82554963bba · outbound

This paper cites Le- dlcm: Decoupled learner and course modeling with large language mod- els for enhanced course recommendation.Knowledge-Based Systems, page 115135, 2025.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Le- dlcm: Decoupled learner and course modeling with large language mod- els for enhanced course recommendation.Knowledge-Based Systems, page 115135, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.267735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb0c8fec-297e-4c44-9b74-4d9a180f41b1 · outbound

This paper cites Prediction uncertainty estimation for hate speech classi- fication.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Prediction uncertainty estimation for hate speech classi- fication

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.254860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfd236f4-cd8f-4427-9e37-2d7407aea040 · outbound

This paper cites To BAN or not to BAN: Bayesian attention networks for reliable hate speech detection.Cognitive Computation, 14(1):353–371, 2022.

Assessing Reliability of BERT-Based Models on Question Answering Tasks To BAN or not to BAN: Bayesian attention networks for reliable hate speech detection.Cognitive Computation, 14(1):353–371, 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.239856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f963bdd-a472-4ff5-8847-e890ca0386b9 · outbound

This paper cites Extractive text summarization.International Journal of Current Engineering and Technology, 4(2), 2014.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Extractive text summarization.International Journal of Current Engineering and Technology, 4(2), 2014

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.222950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d77e757-ddd7-4a69-87f7-00f970367124 · outbound

This paper cites Transformer models used for text- based question answering systems.Applied Intelligence, 53(9):10602–10635, 2023.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Transformer models used for text- based question answering systems.Applied Intelligence, 53(9):10602–10635, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.207782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 70b058c0-b6d8-4991-b803-5ca724cee30b · outbound

This paper cites Comparative analysis of state-of-the-art Q&A models: BERT, RoBERTa, DistilBERT, and ALBERT on SQuAD v2 dataset.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Comparative analysis of state-of-the-art Q&A models: BERT, RoBERTa, DistilBERT, and ALBERT on SQuAD v2 dataset

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.191199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df9fb125-105e-4acb-912d-60417516aef7 · outbound

This paper cites A Comparative Study of Transformer-Based Language Models on Extractive Question Answering.

Assessing Reliability of BERT-Based Models on Question Answering Tasks A Comparative Study of Transformer-Based Language Models on Extractive Question Answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.879930Z

Source-reported events for the cited work

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Observation 1464a2e5-5be2-4b48-8107-a2b35a8a81b6 · outbound

This paper cites Measuring Reliability of Large Language Models through Semantic Consistency.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Measuring Reliability of Large Language Models through Semantic Consistency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.884589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19cf3f82-9002-42f9-acce-68aa7cca06f3 · outbound

This paper cites Semantic Consistency for Assuring Reliability of Large Language Models.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Semantic Consistency for Assuring Reliability of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.888804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031251a5-ce00-49fd-942d-adc4b08a7d4a · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text.

Assessing Reliability of BERT-Based Models on Question Answering Tasks SQuAD: 100,000+ questions for machine comprehension of text

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.893018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b4b519-2685-4ac9-8a9c-b66c043b5284 · outbound

This paper cites Comparative analysis of transformer based models for question answering.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Comparative analysis of transformer based models for question answering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.171760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d96e53a-adc5-4eea-9b88-941fcc0de66f · outbound

This paper cites Llm4rec: a comprehensive sur- vey on the integration of large language models in recommender sys- tems—approaches, applications and challenges.Future Internet, 17(6):252, 2025.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Llm4rec: a comprehensive sur- vey on the integration of large language models in recommender sys- tems—approaches, applications and challenges.Future Internet, 17(6):252, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.157317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e758bb8-2414-493b-9e79-6fb320c7ac7c · outbound

This paper cites How does BERT answer questions? A layer-wise analysis of transformer representations.

Assessing Reliability of BERT-Based Models on Question Answering Tasks How does BERT answer questions? A layer-wise analysis of transformer representations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.141090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c8df97b6-44f9-4f9f-a6e3-fc43e0bd5e64 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.127832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6347be6f-55f6-4047-b467-32c692df14b7 · outbound

This paper cites Assessing factual reliability of large language model knowledge.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Assessing factual reliability of large language model knowledge

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.115356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5a1f25d-9ccd-4c88-a047-9ac803115b01 · outbound

This paper cites A survey on large language models for recommendation.World Wide Web, 27(5):60, 2024.

Assessing Reliability of BERT-Based Models on Question Answering Tasks A survey on large language models for recommendation.World Wide Web, 27(5):60, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:13.916977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45d470b3-ae63-4002-befa-9877fe02bbe9 · outbound

This paper cites Paraphrasing for style.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Paraphrasing for style

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.096741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f08d81ca-eb04-4ba1-8a8f-e35d39b4b52d · outbound

This paper cites Pegasus: Pre- training with extracted gap-sentences for abstractive summarization.

Assessing Reliability of BERT-Based Models on Question Answering Tasks Pegasus: Pre- training with extracted gap-sentences for abstractive summarization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:07:14.085150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.