Paper Citation Record · LEDGER

Improving Large Models with Small models: Lower Costs and Better Performance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.15471.

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

pith.paper-citation-record.v1
2406.15471 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:57:35.463787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:36:26.616073Z

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 a6fb19a8-c12d-45a4-94f7-f30ffb3c6d0d · inbound

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models cites this paper.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Improving Large Models with Small models: Lower Costs and Better Performance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T19:57:35.463787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218db902-3217-4857-8c21-337f085349d6 · inbound

Structuring Radiology Reports: Challenging LLMs with Lightweight Models cites this paper.

Structuring Radiology Reports: Challenging LLMs with Lightweight Models Improving Large Models with Small models: Lower Costs and Better Performance

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:55.141972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67d2010-7b5e-4e6b-8be6-647660dc659e · inbound

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting cites this paper.

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting Improving Large Models with Small models: Lower Costs and Better Performance

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:49.088672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c6d40d-f7d0-4a07-b9b6-6e5e88ef0aeb · inbound

What Will Happen Next: Large Models-Driven Deduction for Emergency Instances cites this paper.

What Will Happen Next: Large Models-Driven Deduction for Emergency Instances Improving Large Models with Small models: Lower Costs and Better Performance

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.619058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.