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Paper Citation Record · LEDGER

Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.03140.

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

pith.paper-citation-record.v1
2504.03140 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:32.433119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:54.694344Z

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 79dc3038-4365-4037-a938-17f2ca0da233 · inbound

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:32.433119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:32.433119Z digest=sha256:ec9a9d1e22b586b08fa40800c376f1eda404c4586eaadcd3549895fcb3d1a373

Observation 455cc8ac-0cda-4353-b94b-bf16f72ff936 · inbound

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models cites this paper.

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:54.695915Z

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.

source=pdf_text observed=2026-06-29T19:40:42.033793Z digest=sha256:28d94ac2737f1d68a31530625ad3910ef7fe78288c2c022ac97c937ae2eb66c9