Pith. sign in

Paper Citation Record · LEDGER

Input Perturbation Reduces Exposure Bias in Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.11706.

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

pith.paper-citation-record.v1
2301.11706 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:19.818201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:19.348721Z

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 04517ec6-5a21-4a97-8a3f-50e8ad323294 · inbound

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment cites this paper.

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:19.818201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:46:19.818201Z digest=sha256:bf892f683465ad52bd87da658fba6f5993bb646f61f2eabd49e16bd17850c39c

Observation f2941a41-95c0-4ac0-8ef8-6efc5b1db95b · inbound

A Cold Diffusion Approach for Percussive Dereverberation cites this paper.

A Cold Diffusion Approach for Percussive Dereverberation Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:27.037064Z

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=2026-05-12T04:29:22.349084Z digest=sha256:d2434b2b817bc745aecfe907f9d09f0f1ae92c4256b05ed06925a68ab1ecf6d0

Observation b86a4365-230a-46f0-8ae5-204f2fb6abd8 · inbound

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL cites this paper.

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:19.351152Z

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=arxiv_source observed=2026-06-26T20:54:15.234897Z digest=sha256:957b820951d3a5adf0b6e3f28d77bf84932947b05690003f7ffafd2d637fb702

Observation 19bb0e61-217c-4114-82db-9f9ceb7e93e3 · inbound

Integration Matters: Rollout-Based Training for Constrained Diffusion Models cites this paper.

Integration Matters: Rollout-Based Training for Constrained Diffusion Models Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T02:18:50.212338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:18:50.212338Z digest=sha256:dd719da286e9e60ebfd92e411bef64eb057895c4835ddb9bfd9f8ada8f90af42

Observation 2c91456a-23e6-4543-99f0-2abcc96bdefc · inbound

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens cites this paper.

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens Input Perturbation Reduces Exposure Bias in Diffusion Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-03T08:35:53.853896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:35:53.853896Z digest=sha256:d774f65494dcc93bbef294b17fce46f1a7ed9306776f0078d995a913e5fe914a