Paper Citation Record · LEDGER

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2606.06197.

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

pith.paper-citation-record.v1
2606.06197 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:18:30.232009Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ed64b42-5f16-4a92-b58a-6672c2d6ef21 · outbound

This paper cites Nativqa: Multilingual culturally-aligned natural query for llms,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Nativqa: Multilingual culturally-aligned natural query for llms,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:26.855479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc5e967-901e-4e89-adfa-fe7f14de5490 · outbound

This paper cites You make me feel like a natural question: Training QA systems on transformed trivia questions,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs You make me feel like a natural question: Training QA systems on transformed trivia questions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:26.911197Z

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Unavailable: canonical work link unavailable.

Observation f8b50d98-9071-4b41-8e0a-e542b7b9ad05 · outbound

This paper cites Exploring expected answer types for effective question answering systems for low resource language,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Exploring expected answer types for effective question answering systems for low resource language,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.022862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b32aae1-2174-42ab-9ff7-696055416093 · outbound

This paper cites LocalRQA: From generating data to lo- cally training, testing, and deploying retrieval-augmented QA systems,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs LocalRQA: From generating data to lo- cally training, testing, and deploying retrieval-augmented QA systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.135017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9817807f-e34b-4845-a875-89b25bd92649 · outbound

This paper cites How accurate are LLMs at multi- question answering on conversational transcripts?.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs How accurate are LLMs at multi- question answering on conversational transcripts?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.236655Z

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Unavailable: canonical work link unavailable.

Observation 18cf1567-f91c-4fb2-aa81-e5bbf32dce6a · outbound

This paper cites Desiderata for the context use of question answering systems,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Desiderata for the context use of question answering systems,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.386423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c3c272-a27d-4257-a726-a16ed666995c · outbound

This paper cites Context-aware an- swer extraction in question answering,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Context-aware an- swer extraction in question answering,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.500754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43a97c5-f3c5-4abc-8e43-955d7100c505 · outbound

This paper cites Never lost in the middle: Mastering long-context question answering with position-agnostic decompositional training,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Never lost in the middle: Mastering long-context question answering with position-agnostic decompositional training,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.567011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11f7533-a7a1-4aef-a93f-44b7c7497a14 · outbound

This paper cites Augmenting compliance- guaranteed customer service chatbots: Context-aware knowledge expan- sion with large language models,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Augmenting compliance- guaranteed customer service chatbots: Context-aware knowledge expan- sion with large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.663434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78a29b0-e7a3-4816-9b9b-ceb7ed9804a4 · outbound

This paper cites How proficient are large language models in formal languages? an in- depth insight for knowledge base question answering,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs How proficient are large language models in formal languages? an in- depth insight for knowledge base question answering,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.806852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c13ee3a2-588d-4196-aed6-af04c14b4896 · outbound

This paper cites Webglm: Towards an efficient and reliable web-enhanced question-answering system,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Webglm: Towards an efficient and reliable web-enhanced question-answering system,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:27.918981Z

Source-reported events for the cited work

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Observation 36907bf6-f516-415b-bff0-967c444121a0 · outbound

This paper cites Evaluating open- domain question answering in the era of large language models,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Evaluating open- domain question answering in the era of large language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.067705Z

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Observation 4c9f08d7-6ede-4c30-9171-00e361cc7ad5 · outbound

This paper cites Few-shot prompt- ing for extractive quranic qa with instruction-tuned llms,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Few-shot prompt- ing for extractive quranic qa with instruction-tuned llms,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.237881Z

Source-reported events for the cited work

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Observation f614c1e0-edfa-4a44-a86a-2f20b92cf78d · outbound

This paper cites Two- stage quranic qa via ensemble retrieval and instruction-tuned answer extraction,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Two- stage quranic qa via ensemble retrieval and instruction-tuned answer extraction,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.391088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9437ba-a00a-4109-8047-81432ef10b03 · outbound

This paper cites Cross-language approach for quranic qa,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Cross-language approach for quranic qa,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.523470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05c76b7-1b51-48d4-b846-edbdce1bff7a · outbound

This paper cites Hybrid graphs for table-and-text based question answering using llms,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Hybrid graphs for table-and-text based question answering using llms,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.665817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25dc59eb-ba8c-47cf-8a29-cee9c89ca9f0 · outbound

This paper cites Large language models meet knowledge graphs for question answering: Synthesis and opportunities,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Large language models meet knowledge graphs for question answering: Synthesis and opportunities,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.765543Z

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Observation 6cbfe000-91d2-4900-8b08-234909f2046b · outbound

This paper cites Aestar at semeval-2025 task 8: Agentic llms for question answering over tabular data,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Aestar at semeval-2025 task 8: Agentic llms for question answering over tabular data,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:28.902818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429a859e-1ebf-4240-987b-183fdb96186f · outbound

This paper cites Opti- mized quran passage retrieval using an expanded qa dataset and fine- tuned language models,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Opti- mized quran passage retrieval using an expanded qa dataset and fine- tuned language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.049486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187b871b-cb8e-47cd-9a4c-66419562d624 · outbound

This paper cites Trustuqa: A trustful framework for unified structured data question answering,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Trustuqa: A trustful framework for unified structured data question answering,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.182073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b79502-68eb-407a-90d9-f09854f244b9 · outbound

This paper cites Riro: Reshaping inputs, refining outputs unlocking the potential of large language models in data-scarce contexts,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Riro: Reshaping inputs, refining outputs unlocking the potential of large language models in data-scarce contexts,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.286130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11538550-0193-44c9-94a2-7a63e6851f3a · outbound

This paper cites Rationale-guided retrieval augmented generation for medical question answering,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Rationale-guided retrieval augmented generation for medical question answering,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.375548Z

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Unavailable: canonical work link unavailable.

Observation f418e000-b5e0-4433-b07e-00f55b91fe8f · outbound

This paper cites Llm-daas: Llm-driven drone- as-a-service operations from text user requests,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Llm-daas: Llm-driven drone- as-a-service operations from text user requests,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.462429Z

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Unavailable: canonical work link unavailable.

Observation afaadc89-2384-4f59-870a-7cbccadef7c0 · outbound

This paper cites Few-shot optimized framework for hallucination detection in resource-limited nlp systems,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Few-shot optimized framework for hallucination detection in resource-limited nlp systems,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.566639Z

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Unavailable: canonical work link unavailable.

Observation ea03b1d8-ea8a-43e6-9780-7605303aeee0 · outbound

This paper cites Sbu-nlp at semeval-2025 task 8: Self-correction and collaboration in llms for tabular question answer- ing,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Sbu-nlp at semeval-2025 task 8: Self-correction and collaboration in llms for tabular question answer- ing,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.695067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9c6e9b-1822-4e59-8630-a15b688b3329 · outbound

This paper cites Coordinated llm multi-agent systems for collaborative question-answer generation,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Coordinated llm multi-agent systems for collaborative question-answer generation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.808343Z

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Unavailable: canonical work link unavailable.

Observation bd64e6cb-9505-41ed-8e36-ae83ecf36dc6 · outbound

This paper cites Large language model synergy for ensemble learning in medical question answering: design and evaluation study,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Large language model synergy for ensemble learning in medical question answering: design and evaluation study,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.890774Z

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Observation 504de2df-9424-4f65-a5d4-11d4e0fa7da9 · outbound

This paper cites Llm-sem: A sentiment- based student engagement metric using llms for e-learning platforms,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Llm-sem: A sentiment- based student engagement metric using llms for e-learning platforms,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:29.995627Z

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Observation b21cc9a2-1627-4423-b12e-55d3d833e25f · outbound

This paper cites Llm-medqa: Enhancing medical question answering through case studies in large language models,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Llm-medqa: Enhancing medical question answering through case studies in large language models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:30.091817Z

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Unavailable: canonical work link unavailable.

Observation bfbdf647-8512-41bf-a2f6-ed0b820f1b61 · outbound

This paper cites Msa at semeval-2025 task 3: High quality weak labeling and llm ensemble verification for multilin- gual hallucination detection,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Msa at semeval-2025 task 3: High quality weak labeling and llm ensemble verification for multilin- gual hallucination detection,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:30.154703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976813a8-757b-46ce-8f9a-0eb85f058f1d · outbound

This paper cites Erpa: Efficient rpa model integrating ocr and llms for intelligent document processing,.

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs Erpa: Efficient rpa model integrating ocr and llms for intelligent document processing,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T12:18:30.232009Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.