Paper Citation Record · LEDGER

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.02476.

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

pith.paper-citation-record.v1
2309.02476 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:29:40.722055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:19:45.999257Z

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 abae9138-b130-4fd5-a5fe-04446d6582f1 · inbound

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System cites this paper.

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:29:40.722055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929b9bb0-213f-4ba3-9107-cf34bd76702e · inbound

Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization cites this paper.

Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:45.841314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f46038-3f3c-4486-ac25-57eb4700cc88 · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:14.232145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5925ae02-0320-4e95-b941-474baa895e7f · inbound

Are Candidate Models Really Needed for Active Learning? cites this paper.

Are Candidate Models Really Needed for Active Learning? Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:19:46.002954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.