Paper Citation Record · LEDGER

Can Unconfident LLM Annotations Be Used for Confident Conclusions?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.15204.

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

pith.paper-citation-record.v1
2408.15204 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:54:57.924208Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:30:05.540614Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 098d4185-e948-46bb-8591-2bbfe49fa29e · inbound

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI cites this paper.

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI Can Unconfident LLM Annotations Be Used for Confident Conclusions?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:54:57.924208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27971498-18c7-40ba-af55-88d9a79a9900 · inbound

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift cites this paper.

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Can Unconfident LLM Annotations Be Used for Confident Conclusions?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:54.581815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe9b76f-694b-4449-8f52-f38071989d6e · inbound

Cost-Optimal Active AI Model Evaluation cites this paper.

Cost-Optimal Active AI Model Evaluation Can Unconfident LLM Annotations Be Used for Confident Conclusions?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:05.544650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a243a6d-20e9-42fc-8827-2761071f6ab1 · inbound

CollabEval: Statistically Efficient Collaborative Model Evaluation via Matrix Completion cites this paper.

CollabEval: Statistically Efficient Collaborative Model Evaluation via Matrix Completion Can Unconfident LLM Annotations Be Used for Confident Conclusions?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T09:38:44.568685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.