Paper Citation Record · LEDGER

Swift Sampler: Efficient Learning of Sampler by 10 Parameters

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.05578.

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

pith.paper-citation-record.v1
2410.05578 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:16:04.237008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.038014Z

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 cafa9744-248d-4c5a-bbfa-148adeddea68 · inbound

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language cites this paper.

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T18:46:07.316869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fe1d40-38d9-48d9-b6bb-d880cd4e9740 · inbound

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction cites this paper.

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:04.237008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a884cfe-4ae8-4ddd-b183-bfff6e721b77 · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.039501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 248e5b62-da56-42bb-bcce-94d91fddb80d · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T10:36:55.321235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.