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Paper Citation Record · LEDGER

Transfer Learning for Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16876.

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

pith.paper-citation-record.v1
2405.16876 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:08.819836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:06:11.962985Z

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 7851410a-b7e9-41a8-9d94-63cf4a7f63e5 · inbound

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data cites this paper.

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data Transfer Learning for Diffusion Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:06:12.145409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:06:08.819836Z digest=sha256:73bcd3b0c65471c5a7c40dd386add2180f2f5cd02faa435e5709a59c1602ef6b

Observation 7c6dcb22-48e5-4d3c-bac2-582dce84f8b7 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Transfer Learning for Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:53.342118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:53.342118Z digest=sha256:1e12d30ab6ae271d7bc8455892ba1b8535f1e18b9b0c00fb2720eb62aa8e7c5a