Paper Citation Record · LEDGER

Accelerating Image Generation with Sub-path Linear Approximation Model

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.13903.

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

pith.paper-citation-record.v1
2404.13903 v3

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.877272Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T23:58:13.552071Z

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 d4ca997d-1e5e-4e50-8a13-79f525678fdd · inbound

Adversarial Diffusion Compression for Real-World Image Super-Resolution cites this paper.

Adversarial Diffusion Compression for Real-World Image Super-Resolution Accelerating Image Generation with Sub-path Linear Approximation Model

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-12T16:32:25.424079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80f38b4-cf61-4574-a1c5-2365c3338985 · inbound

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training cites this paper.

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training Accelerating Image Generation with Sub-path Linear Approximation Model

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:58:13.559990Z

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 5c054a8a-07ce-4c2e-9aad-16de1c27ca4b · inbound

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging cites this paper.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Accelerating Image Generation with Sub-path Linear Approximation Model

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.877272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6568a1ed-3870-4463-86cf-5d9ca38793a0 · inbound

TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion cites this paper.

TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion Accelerating Image Generation with Sub-path Linear Approximation Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:58.146052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.