Paper Citation Record · LEDGER

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.23136.

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

pith.paper-citation-record.v1
2506.23136 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:55:11.451565Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy20
unresolved20
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9c6f162-71ff-4f50-9593-59f3075ca349 · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Advances in Neural Information Processing Systems (2017)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:07.675355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad1124d-4341-4786-8521-dc5a96c47fb9 · outbound

This paper cites DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:07.804567Z

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Observation fef6c151-394d-40dd-9621-fef933d78a07 · outbound

This paper cites In: 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.223945Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7663850-92f2-4c89-9809-3d44bf415479 · outbound

This paper cites LLMs Will Always Hallucinate, and We Need to Live With This.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation LLMs Will Always Hallucinate, and We Need to Live With This

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:07.941390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58e14b0-97d4-455e-b100-c731465f7a0e · outbound

This paper cites : Factuality challenges in the era of large language models and opportunities for fact-checking.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation : Factuality challenges in the era of large language models and opportunities for fact-checking

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.059181Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68a30780-bee0-4a13-8bab-9d65357cbe18 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 50117–50143 (2023).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Advances in Neural Information Processing Systems 36, 50117–50143 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.836024Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 065ed0dc-9d69-4c2e-9eb5-d6107d274f8f · outbound

This paper cites In: International Conference on AI-generated Content, pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: International Conference on AI-generated Content, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.599823Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef410745-718d-4806-b725-228e60fdb678 · outbound

This paper cites In: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.442134Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7e471e3-25a9-4e58-8b6d-5792ea2cc86b · outbound

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LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:55:15.226673Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6553bb93-c252-446b-be59-5345510249fc · outbound

This paper cites an unresolved cited work.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:08.527836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e34480-f4ce-4912-8ca4-079c25dab624 · outbound

This paper cites On the Role of Bidirectionality in Language Model Pre-Training.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation On the Role of Bidirectionality in Language Model Pre-Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:08.642721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 077d3b01-20e4-4033-bd1d-bfaa5010330e · outbound

This paper cites Automatika: ˇ casopis za automatiku, mjerenje, elektroniku, raˇ cunarstvo i komunikacije 62(2), 226–238 (2021).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Automatika: ˇ casopis za automatiku, mjerenje, elektroniku, raˇ cunarstvo i komunikacije 62(2), 226–238 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.955458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ecc40b8-8ecc-4e2f-9ff2-0e40e3d95773 · outbound

This paper cites Machine Learning 111(3), 917–935 (2022).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Machine Learning 111(3), 917–935 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.790836Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e81c0bb-0dc8-43e8-b7bb-56b74013df3f · outbound

This paper cites an unresolved cited work.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

Observation b5a0d35c-16b0-49b7-ac89-50be2bccd858 · outbound

This paper cites : Language models are unsupervised multitask learners.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation : Language models are unsupervised multitask learners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:09.153088Z

Source-reported events for the cited work

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Observation 8860d55d-1392-432d-9028-1347a6b6b6bc · outbound

This paper cites : Language models are few-shot learners.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation : Language models are few-shot learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:09.246659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c52295-e15a-44c0-b8ba-2f3202dd0584 · outbound

This paper cites Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d6e21e8-669e-4cd0-acd2-702af9ab1e03 · outbound

This paper cites In: Asia-Pacific Web (APWeb) and Web-Age Information Management (W AIM) Joint International Conference on Web and Big Data, pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: Asia-Pacific Web (APWeb) and Web-Age Information Management (W AIM) Joint International Conference on Web and Big Data, pp

Reference 18

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Observation 278afbf0-f365-4267-ad10-9a4313544ad5 · outbound

This paper cites In: 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life Using AI, Robotics and IoT (HONET), pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life Using AI, Robotics and IoT (HONET), pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.434659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d674022-d3af-4328-bb8c-69c666868b3a · outbound

This paper cites In: 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.216249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3584ed0e-a2a7-4a1c-a988-e2a339b3117e · outbound

This paper cites Fundamental Research 1(6), 831–833 (2021).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Fundamental Research 1(6), 831–833 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.016351Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6428789b-b22f-4c02-88c2-da5e7a27bf95 · outbound

This paper cites Journal of Medical Internet Research 26, 52758 (2024).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Journal of Medical Internet Research 26, 52758 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:13.784812Z

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Observation 16b33a6b-a493-4f8f-b00a-5a333e7e3012 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Neural Architecture Search with Reinforcement Learning

Reference 23

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Observation a3c3e54a-f8e3-4966-b9ec-bb28f3af3c43 · outbound

This paper cites Gated-Attention Readers for Text Comprehension.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Gated-Attention Readers for Text Comprehension

Reference 24

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Observation 7906548c-5579-4989-b316-14578f8aaaac · outbound

This paper cites DLGNet: A Transformer-based Model for Dialogue Response Generation.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation DLGNet: A Transformer-based Model for Dialogue Response Generation

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2133c5c5-3e4c-4506-a449-f1a4ad0c9026 · outbound

This paper cites Advances in neural information processing systems 33, 9459–9474 (2020).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Advances in neural information processing systems 33, 9459–9474 (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:13.626782Z

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Observation 6b35e0fd-17c3-411e-b3df-fd2bb3f4f467 · outbound

This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 27

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Observation 8e9c9d72-03a0-4bdf-beda-41235776190c · outbound

This paper cites LLM Internal States Reveal Hallucination Risk Faced With a Query.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation LLM Internal States Reveal Hallucination Risk Faced With a Query

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:10.308623Z

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LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: European Semantic Web Conference, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:13.461538Z

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Observation c716b22d-b89b-4486-876d-e236ec55a949 · outbound

This paper cites Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

Reference 30

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Observation 14894a63-9e12-46d2-bef4-2b29742fddd6 · outbound

This paper cites Journal of Machine Learning Research24(251), 1–43 28 (2023).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Journal of Machine Learning Research24(251), 1–43 28 (2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:13.308219Z

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Observation 570ce403-1e9c-45e2-ab09-91f750d5de10 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 32

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Observation 6c8cd7cf-ef82-494c-9fa4-e1be1e82e131 · outbound

This paper cites Transactions of the Association for Computational Linguistics 11, 1–17 (2023).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Transactions of the Association for Computational Linguistics 11, 1–17 (2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:13.010279Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93588325-17a3-4ebd-bc9c-cbf826b3f713 · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:10.822512Z

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Observation d9f7a12c-5bca-45b1-a8dd-292896038708 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58083b5f-a6f5-48b6-8992-98d2c3d69942 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems 34(11), 8174–8194 (2022).

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation IEEE Transactions on Neural Networks and Learning Systems 34(11), 8174–8194 (2022)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:12.544068Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e8484fc-c90b-4e20-9b44-e25504b5790c · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Universal Language Model Fine-tuning for Text Classification

Reference 37

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LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation : Lora: Low-rank adaptation of large language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:12.290605Z

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Observation fb4a2cd0-d020-4ecc-b5b4-7b2af04159ec · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:11.216213Z

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LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: International Conference on Machine Learning, pp

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:11.266723Z

Source-reported events for the cited work

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Observation 130c8653-1cd6-442b-91d1-5d7ae69bce1e · outbound

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LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: First Conference on Language Modeling (2024)

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:11.394619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e641945-1cd4-4761-939d-78e1386b50f5 · outbound

This paper cites In: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pp.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation In: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pp

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:12.022414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.