Paper Citation Record · LEDGER

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2505.14212.

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

pith.paper-citation-record.v1
2505.14212 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:41.769511Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:07:25.667648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:45:42.818877Z

Reference resolution

48 of 48 outbound references displayed

verified exact3
verified fuzzy17
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 883f2447-cdd6-4e91-a1ce-e4c60fea91d8 · outbound

This paper cites A bert baseline for the natural questions.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks A bert baseline for the natural questions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.992196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83f50275-8c56-4628-8269-31f3c292f8ea · outbound

This paper cites Self-RAG: Learning to retrieve, generate, and critique through self-reflection.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Self-RAG: Learning to retrieve, generate, and critique through self-reflection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.757436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca39461f-c058-42d9-89d4-e561298ec2c3 · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.200193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd170161-37f0-4969-b722-c72937590584 · outbound

This paper cites Seven Failure Points When Engineering a Retrieval Augmented Generation System.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.271291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea29277-ef8a-4336-a335-707891d956e3 · outbound

This paper cites Language models are few-shot learners.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Language models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.366055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d601c7b-8cbc-4cb2-abda-a3c6b8e0aea8 · outbound

This paper cites Language Models are Few-Shot Learners.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.430426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64f706d-1e08-4ef6-b426-535fd1b856ce · outbound

This paper cites The TechQA dataset.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks The TechQA dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.540607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4fd9083-19f5-48eb-bf40-16f9b1087172 · outbound

This paper cites Legal-bert: The muppets straight out of law school.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Legal-bert: The muppets straight out of law school

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.541323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0021b0f8-e8f2-41f5-9f00-adbd17bedbb1 · outbound

This paper cites Reading Wikipedia to answer open-domain questions.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Reading Wikipedia to answer open-domain questions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:37.774638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872002b5-8c2f-4c60-b592-04e8b037ce88 · outbound

This paper cites Dialog inpainting: Turning documents to dialogs.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Dialog inpainting: Turning documents to dialogs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.334160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c4d2bce-3afd-4cb0-a92c-f7b844f20dea · outbound

This paper cites Unsloth, 2023.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Unsloth, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.163237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea3b9f92-27c1-4202-a383-9ab2cab21d32 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks QLoRA: Efficient Finetuning of Quantized LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.104744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aadc6bb6-0e39-492a-b903-a1162bd243f6 · outbound

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

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.208343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a48569-3b1d-4a5c-9b96-e00af5550e78 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.323013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7901d312-a284-4e0f-99cd-3e60c283a006 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.423678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e4f2ac-d485-4bc0-ad45-8220d626ddb2 · outbound

This paper cites Re2g: Retrieve, rerank, generate.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Re2g: Retrieve, rerank, generate

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.994942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5f892c8-b6b6-4993-b427-575ef4b3688a · outbound

This paper cites The Llama 3 Herd of Models.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.597842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87de8dff-a5e6-4bb2-b29d-08b3ef5f86d0 · outbound

This paper cites Evaluating large language models in generating synthetic hci research data: a case study.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Evaluating large language models in generating synthetic hci research data: a case study

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T15:42:42.436498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ffc02e1-5c2a-4978-b6de-8bbc44805849 · outbound

This paper cites Retrieve, annotate, evaluate, repeat: Leveraging multimodal llms for large-scale product retrieval evaluation,.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Retrieve, annotate, evaluate, repeat: Leveraging multimodal llms for large-scale product retrieval evaluation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.807141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f08ec513-4fb1-4d70-9d52-be6861f8e631 · outbound

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

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:38.951239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f2d793-f29d-4dc3-a963-78f46bbbb289 · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.041590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb595b0-13ea-4f15-8124-23b8988bc241 · outbound

This paper cites Perplexity—a measure of the difficulty of speech recognition tasks.The Journal of the Acoustical Society of America, 62(S1):S63–S63, 1977.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Perplexity—a measure of the difficulty of speech recognition tasks.The Journal of the Acoustical Society of America, 62(S1):S63–S63, 1977

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.151195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102530bd-8e0f-4fa2-8d44-c991067c27b6 · outbound

This paper cites Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.658777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f073ddd3-6836-4d19-a9f6-cc42f293d988 · outbound

This paper cites Mistral 7B.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Mistral 7B

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.438054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439054b6-2f3f-4481-b59a-806469cfd443 · outbound

This paper cites Weld, and Luke Zettlemoyer.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Weld, and Luke Zettlemoyer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.512000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 878fe62c-97d1-490b-aa8b-f603eff3e4b0 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Dense Passage Retrieval for Open-Domain Question Answering

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.611689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a44a33d-1abb-4ec6-90a9-0d378d35fc2c · outbound

This paper cites Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.517065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2aa0f8d1-c564-4a56-bf0a-bd007209b014 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.822638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d9b97e-b580-45e9-82bd-be61bc545d83 · outbound

This paper cites Synthetic data generation with large language models for text classification: Potential and limitations, 2023.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Synthetic data generation with large language models for text classification: Potential and limitations, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.361996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14e58741-4e7b-4c09-8ca1-66ffb88798e3 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Rouge: A package for automatic evaluation of summaries

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.989028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad93998d-cbe7-4d35-b0c7-6708318199d0 · outbound

This paper cites RA-DIT: Retrieval- augmented dual instruction tuning.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks RA-DIT: Retrieval- augmented dual instruction tuning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:44.187043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8706be44-2056-423f-a05a-14dc3a253a0b · outbound

This paper cites Query Rewriting for Retrieval-Augmented Large Language Models.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Query Rewriting for Retrieval-Augmented Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:40.223793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109f26a5-9217-4b9b-ab1c-4de610b46857 · outbound

This paper cites an unresolved cited work.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:44.018366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7396d248-b413-4692-902e-4641d776686c · outbound

This paper cites Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:40.407545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8baded44-eb95-426e-adb2-b9f063e32362 · outbound

This paper cites Synthetic data generation using large language models: Advances in text and code, 2025.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Synthetic data generation using large language models: Advances in text and code, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:40.310149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79e5b7d-7dad-4dea-9f85-e6cbd58a05e3 · outbound

This paper cites Replug: Retrieval-augmented black-box language models.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Replug: Retrieval-augmented black-box language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:43.728246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca6187f5-5525-4c81-8e78-61a9c5c3c2b2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Bleu: a method for automatic evaluation of machine translation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:43.871340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1940c952-2775-44e0-af51-091bd059c073 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:40.814274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32d2a33-f545-466c-9c95-e9cd0a15d681 · outbound

This paper cites Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:42:41.944474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb6cfa74-840c-4a20-ab11-31254aa7f71a · outbound

This paper cites Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:41.009889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3362cb33-a730-403e-9b8b-e2e28732e26c · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:40.916194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f8bb13-fe9a-49ad-a2b8-92a0b2112bf6 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:43.340041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3706b0f-9452-4ba3-a236-bce2058023bb · outbound

This paper cites Towards system 2 reasoning in llms: Learning how to think with meta chain-of-thought,.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Towards system 2 reasoning in llms: Learning how to think with meta chain-of-thought,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:43.550612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5959e0aa-7424-4e59-9da2-53b1da599da6 · outbound

This paper cites Limitations.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Limitations

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:42:42.895189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a873439-7ef1-42fd-8bbd-3825ae6f777d · outbound

This paper cites Boosting conversational question answering with fine-grained retrieval-augmentation and self-check.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Boosting conversational question answering with fine-grained retrieval-augmentation and self-check

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:43.146750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa825ad6-012a-4b6d-b0a1-d776e10aae85 · outbound

This paper cites 20 • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks 20 • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:42.737214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d981240-12ea-42af-a874-8988038e7dae · outbound

This paper cites Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:42:42.279027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1189bdc3-20cf-4933-abe3-eb27f0a95585 · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:41.245910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eeaa444b-e0dc-4ac3-9ca2-7a2b5c0d1402 · inbound

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents cites this paper.

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:19.560054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9a7987f-303e-4fd2-9401-33766b320323 · inbound

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA cites this paper.

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:45:42.820233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afd2a806-9d73-4379-9da8-64ad15f8d019 · inbound

GraphQAG: A Knowledge-Graph-Guided Visual Analytics Framework for Question-Answer Pairs Generation cites this paper.

GraphQAG: A Knowledge-Graph-Guided Visual Analytics Framework for Question-Answer Pairs Generation Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T11:07:25.667648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.