Pith. sign in

Paper Citation Record · LEDGER

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.07364.

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

pith.paper-citation-record.v1
2102.07364 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:05:45.525081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:07:00.037270Z

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 2e8b7603-d7cc-44ba-82a8-25d47c7945e2 · inbound

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling cites this paper.

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T14:05:45.525081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:05:45.525081Z digest=sha256:0f82e3cf0d5192537668a561cc89812162f4beb2d23337c01d941a1fe4c93968

Observation 2cef3193-d0cf-480d-bd3c-bbb61218bdba · inbound

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance cites this paper.

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:07:00.040979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T03:04:51.619927Z digest=sha256:0022a50ecda01bcfa6b7b5aa48cc5ad8be717fd9312c3376da097a4558be3c31

Observation df863e81-d2f7-45f9-a8b9-2c371bd99a8a · inbound

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization cites this paper.

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T15:01:34.723367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:01:34.723367Z digest=sha256:5d806da353d140f4ceb8a683ad1c205fff06c50ab49d6fefe41fc5b14ce8b35c