Paper Citation Record · LEDGER

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 4 inbound Pith citation observations for arXiv:2505.16113.

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

pith.paper-citation-record.v1
2505.16113 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:46.806710Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:46:14.378320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.503467Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy10
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 025f2365-18a6-4afb-a3c6-37b30ae1d0e9 · outbound

This paper cites Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:45.024634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e90927a-26d4-4e50-88ac-cace3e22a086 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no ques- tions.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Boolq: Exploring the surprising difficulty of natural yes/no ques- tions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:48.530797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5589958-8520-4e0c-87cb-fe19a46bdc04 · outbound

This paper cites Detecting hallucina- tions in large language models using semantic entropy.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Detecting hallucina- tions in large language models using semantic entropy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:48.349186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ce3ef00-44c0-4115-8dc4-6964fd2cbedf · outbound

This paper cites an unresolved cited work.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:45.244890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0a6620-f0d5-4f18-abaa-cbe46a657613 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:48.038983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca60c6f2-bc36-483a-a178-859e90297ca2 · outbound

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

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:45.611899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f774ab00-ed1c-437b-a2db-8fe632399df9 · outbound

This paper cites Unsolved Problems in ML Safety.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Unsolved Problems in ML Safety

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:45.769975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c975e134-c24e-47c9-b900-1294177dc146 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:45.904860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5828cb78-9767-4de0-8c0d-3e3500a323a1 · outbound

This paper cites Large Language Models in Law: A Survey.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Large Language Models in Law: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.036999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b62fc94-35ec-4a67-a773-6b93691d7c96 · outbound

This paper cites Simple and scalable pre- dictive uncertainty estimation using deep en- sembles.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Simple and scalable pre- dictive uncertainty estimation using deep en- sembles

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.965482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b76735cd-c92d-4c4a-acb3-aeb5b18021c5 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.764858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce0d25f6-6fa4-404f-ba4b-9f994604945a · outbound

This paper cites Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.190902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924ee281-803d-45e2-a9b0-863ded1c79fa · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools ToolACE: Winning the Points of LLM Function Calling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.258369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a481744f-c47d-4a40-8368-4cac467687bd · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Uncertainty Estimation in Autoregressive Structured Prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.329808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82700843-72b3-487d-b72a-572eccacb412 · outbound

This paper cites Revisiting, benchmarking and exploring api recommendation: How far are we?, 2021.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Revisiting, benchmarking and exploring api recommendation: How far are we?, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.667536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77667ac6-9d8f-4b70-8998-c3723011a061 · outbound

This paper cites Tool Learning with Foundation Models.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Tool Learning with Foundation Models

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:11:46.423549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b188d76-8f2e-4a63-b6bf-411e9f8cd342 · outbound

This paper cites Tool Learning with Large Language Models: A Survey.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Tool Learning with Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.515086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b61fa36e-31df-4c1e-921f-ee98d4dfafdc · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Toolformer: Language models can teach themselves to use tools

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.495778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e6f5e98-a010-40b5-9936-c4bcbb102d38 · outbound

This paper cites Using the adap learning algorithm to forecast the onset of diabetes mellitus.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Using the adap learning algorithm to forecast the onset of diabetes mellitus

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.379534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dfe20a7a-299d-456e-abd6-4c2c6bfd6d07 · outbound

This paper cites Question generation as a competitive undergraduate course project.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Question generation as a competitive undergraduate course project

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.248402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a38c0fe-5290-47c4-9a3c-13e795e38be4 · outbound

This paper cites Large language models in medicine.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Large language models in medicine

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:46.763294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17d443b-48c9-454c-a8a3-2e5785c0ee5c · outbound

This paper cites Toolqa: A dataset for 12 llm question answering with external tools.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Toolqa: A dataset for 12 llm question answering with external tools

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:47.080564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation bd986cb2-9269-48f6-b838-cb2b1614f789 · inbound

Uncertainty Propagation in LLM-Based Systems cites this paper.

Uncertainty Propagation in LLM-Based Systems Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:23.687803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18f9caa4-06c0-4e9a-8547-b00f52a419ed · inbound

ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift cites this paper.

ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:29:02.505043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9b73959-b485-4a26-b3ed-ff9adbc85a61 · inbound

Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference cites this paper.

Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T06:24:52.086585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f62dba-8f8e-4273-a3e8-f9a326ee90f8 · inbound

Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers cites this paper.

Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T08:46:14.378320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.