Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:28:07.694891Z
Paper Citation Record · LEDGER
How to Choose a Threshold for an Evaluation Metric for Large Language Models
As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.12148.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact2
- verified fuzzy6
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f3bb506b-d45a-49b6-bfac-48d4cf5cdddc · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.173739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e58eb0f-7d6b-43fd-8cf8-d42d5175667b · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.156813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0ba46453-5a63-4fe7-aab1-0d792bef343e · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.138699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b81dd38c-b15a-45c4-a8cf-67a4d587af63 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.119292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3fff6ead-01b6-4366-8863-cb38d428b2c5 · outbound
This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Ragas: Automated Evaluation of Retrieval Augmented Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.588952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb47dc57-1fd4-4f9c-b3c6-e33711b03902 · outbound
This paper cites Evaluating Large Language Models: A Comprehensive Survey.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Evaluating Large Language Models: A Comprehensive Survey
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.594727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e02c04f2-5e3f-47ba-ac7c-89a83377571d · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.101417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7296a313-9e75-436e-a812-d1d5c460db69 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.083104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d1f8baa9-04c5-432a-a968-d13a19e7ae84 · outbound
This paper cites Kahneman and A.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Kahneman and A
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:08.065298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 733bb6f1-130f-4143-ae1a-aebdeaee6fc4 · outbound
This paper cites Lewis, E.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Lewis, E
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:08.047617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 23859db2-96ce-4c2a-9c71-cacfb39daed9 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.623216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b042821-393c-4f21-a6f7-f874576ab6c1 · outbound
This paper cites Schroedinger's Threshold: When the AUC doesn't predict Accuracy.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Schroedinger's Threshold: When the AUC doesn't predict Accuracy
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:28:07.830094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51b4cb5d-3ae5-497c-9dcd-6db824dc4ec9 · outbound
This paper cites Papineni, S.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Papineni, S
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:08.018154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 29857475-e69f-472f-8fdc-c0d4075d152f · outbound
This paper cites Lynx: An Open Source Hallucination Evaluation Model.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Lynx: An Open Source Hallucination Evaluation Model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.639164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c496e97b-1cc0-4598-b4b7-8b769f8a70c7 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:08.000120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 30ab993c-7640-4167-bdbc-bf61a8c24055 · outbound
This paper cites Sadinle, J.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Sadinle, J
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:07.980494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 53d526f2-0623-4d2f-8911-15cc65f2634e · outbound
This paper cites Sudjianto and S.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Sudjianto and S
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:07.961691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6eb14151-9d32-47ab-9cbc-73ea88392d49 · outbound
This paper cites Model Validation Practice in Banking: A Structured Approach for Predictive Models.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Model Validation Practice in Banking: A Structured Approach for Predictive Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:28:07.781577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aba69b2f-b942-4418-bda1-c35b6067bebe · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:07.943796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b9689252-f223-464d-a931-69bec90dea76 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:07.927197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 849bc6f1-dea6-46b8-8762-858f124b0665 · outbound
This paper cites an unresolved cited work.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:28:07.908865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ffe5f2af-4d59-4f50-ae7e-1d1996852f6b · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
How to Choose a Threshold for an Evaluation Metric for Large Language Models BERTScore: Evaluating Text Generation with BERT
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.683123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f185a0e4-47bc-40d4-977c-439f6e5deff4 · outbound
This paper cites A Survey of Large Language Models.
How to Choose a Threshold for an Evaluation Metric for Large Language Models A Survey of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:28:07.688990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f42eecd1-3171-41ef-8a36-eff732989fcc · outbound
This paper cites Figure 6 further illustrates the identified thresholds across different risk tolerances, measured by the false positive rate (type I error) and precision.
How to Choose a Threshold for an Evaluation Metric for Large Language Models Figure 6 further illustrates the identified thresholds across different risk tolerances, measured by the false positive rate (type I error) and precision
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:28:07.891001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.