Paper Citation Record · LEDGER

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.05244.

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

pith.paper-citation-record.v1
2605.05244 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:12:03.536656Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

36 of 36 outbound references displayed

verified exact8
verified fuzzy9
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed1e8268-3228-46a4-926c-0d4af7d91fe6 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.279152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 315fd1f8-57cf-4778-9e65-ff4511df215d · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-09T01:23:59.704349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2fbeea51-74fb-48a7-b5be-d737aa71e8a4 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2023).

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: The Twelfth International Conference on Learning Representations (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.259728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 093b35b5-0708-4ef1-81cf-07c79aecf67f · outbound

This paper cites Critical Care27(1), 120 (March 2023).https:// doi.org/10.1186/s13054-023-04393-x,https://ccforum.biomedcentral.com/ articles/10.1186/s13054-023-04393-x.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Critical Care27(1), 120 (March 2023).https:// doi.org/10.1186/s13054-023-04393-x,https://ccforum.biomedcentral.com/ articles/10.1186/s13054-023-04393-x

Reference 4

Resolution: verified exact; doi, observed 2026-05-08T18:13:53.754786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d1ff84f-3a26-4e29-8327-e483e81a91f7 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.294680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9826fcf1-84d6-457b-a51e-81d2023e756d · outbound

This paper cites & Mitchell, T.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction & Mitchell, T

Reference 6

Resolution: metadata mismatch; doi, observed 2026-05-08T18:13:53.739100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 220e238b-5f88-41f3-8c20-e2beab837bf5 · outbound

This paper cites Angelopoulos, A.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Angelopoulos, A

Reference 7

Resolution: metadata mismatch; doi, observed 2026-05-08T18:13:53.750839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22c37d31-ad4d-4b62-bd63-37a61e988e40 · outbound

This paper cites Language Models are Few-Shot Learners.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Language Models are Few-Shot Learners

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:05:38.478916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3a63f60-f33e-4eff-8139-5e4ee78b154c · outbound

This paper cites In: Proceedings of the 63rd Annual Meeting of the ACL (2025).

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Proceedings of the 63rd Annual Meeting of the ACL (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.298147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a12f5ae-47dc-4430-b86c-cc757c24d572 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Findings of the Association for Computational Linguistics: EMNLP 2024

Reference 10

Resolution: verified exact; doi, observed 2026-05-08T18:13:53.735437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ed499b3-60b6-4374-9c97-137e185477f5 · outbound

This paper cites Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:13:53.744885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aabd9e94-f284-449f-b584-bfa95f930fcb · outbound

This paper cites com/jerryjliu/llama_index, accessed: 2023-10-03.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction com/jerryjliu/llama_index, accessed: 2023-10-03

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.271559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a72df8b-ca28-44ce-8792-b3d674832081 · outbound

This paper cites In: Proceedings of the 4th Workshop on Trustworthy NLP (TrustNLP@ACL).

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Proceedings of the 4th Workshop on Trustworthy NLP (TrustNLP@ACL)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.241046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09951c2c-c3c7-4eca-b994-d1570c37f5cf · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:13:53.760405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37c1db04-e2b5-4ad1-b293-0325bf9341da · outbound

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

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-09T06:40:42.795907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1ad47ab-3286-4e44-8161-4b6ac33859b9 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.237704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 05769caa-df58-4cc0-9afe-53b7a3796c95 · outbound

This paper cites The Llama 3 Herd of Models.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction The Llama 3 Herd of Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T21:48:35.876754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70906e10-8ba7-4483-8972-a43660ff6663 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 19

Resolution: metadata mismatch; doi, observed 2026-05-08T18:13:53.777016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc245cf1-8f42-453c-a502-d9be965dbfbe · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.290672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 28ce7e3d-c6f8-484c-a4ae-43b75757cbed · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.247690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad547fae-fe6d-41fb-b454-e87b348dd2f1 · outbound

This paper cites REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:13:53.765634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 873b3988-55c1-48b9-b556-c5b5a529c853 · outbound

This paper cites In: Advances in Neural In- formation Processing Systems.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Advances in Neural In- formation Processing Systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.253859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7e7730d-5552-421a-ab40-6166db5b7626 · outbound

This paper cites UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:40:42.812094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 531c2deb-027c-4c7d-864b-6321a8b107df · outbound

This paper cites SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:40:42.787647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 111e471b-43b6-490c-8fb4-1b0d5b7566b7 · outbound

This paper cites In: Text Summarization Branches Out.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction In: Text Summarization Branches Out

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.265963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc495eda-6556-4b7c-8539-738539520fea · outbound

This paper cites Manakul, A.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Manakul, A

Reference 27

Resolution: metadata mismatch; doi, observed 2026-05-08T18:13:53.781043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27b68983-b2ba-43df-992f-644b036835a6 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.250714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8fec712-ba98-4015-b3ff-c4888c57b836 · outbound

This paper cites Journal of Machine Learning Research12(85), 2825–2830 (2011),http: //jmlr.org/papers/v12/pedregosa11a.html.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Journal of Machine Learning Research12(85), 2825–2830 (2011),http: //jmlr.org/papers/v12/pedregosa11a.html

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.283449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 168ecddd-f73c-4790-b8cb-8f3b55faaf92 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.257172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c73f0740-7999-4691-965f-37362a415964 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.287288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61dad322-05fe-4e36-880c-43b4a80434f5 · outbound

This paper cites Journal of Ma- chine Learning Research9(12), 371–421 (2008),http://jmlr.org/papers/v9/ shafer08a.html.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Journal of Ma- chine Learning Research9(12), 371–421 (2008),http://jmlr.org/papers/v9/ shafer08a.html

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:37:22.252964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f10a0e36-c805-484b-98c0-cf0c56ad6c2e · outbound

This paper cites Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:40:42.802795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a2e2d3c-e26f-4d99-b547-f918da20768d · outbound

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

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:40:42.799384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9056418f-21f0-40d8-b15f-de1aef7d606d · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 35

Resolution: malformed identifier; doi, observed 2026-05-08T22:45:09.901754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dab3d82-ba63-4e6c-b305-a32103f0d34c · outbound

This paper cites On hallucination and predictive uncertainty in conditional language generation.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction On hallucination and predictive uncertainty in conditional language generation

Reference 36

Resolution: metadata mismatch; doi, observed 2026-05-08T18:13:53.722234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6b3d4cc-aa28-4a51-a66b-3efa92018414 · outbound

This paper cites an unresolved cited work.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:37:22.275504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.