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Paper Citation Record · LEDGER

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.03517.

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

pith.paper-citation-record.v1
2312.03517 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:17.772212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:18:42.410639Z

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 73e46ac4-a0cb-4a5c-ae18-156893eceea6 · inbound

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference cites this paper.

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:18:42.413134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T01:17:11.261301Z digest=sha256:dc844c1ed806f268505e5756124c6fd1a6315c480780b57c44942774d625aec6

Observation a8693224-84aa-45a6-b7c3-dfc107049171 · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:17.772212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:17.772212Z digest=sha256:5d7f1855b08008da41186297cb6e80fcf70d72a17b1010d38e81368c68f8333d

Observation a3919a76-7a09-4ee9-ad0b-7d5172d0cedc · inbound

Importance-Aware OBS Pruning for Diffusion Models cites this paper.

Importance-Aware OBS Pruning for Diffusion Models FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T10:59:55.318517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:59:55.318517Z digest=sha256:7d22f62bd11b536708e0e82d90eacfe90b2c476c9647b7d07da932e3f36c761b