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Paper Citation Record · LEDGER

CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.17347.

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

pith.paper-citation-record.v1
2310.17347 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:59:39.440344Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:52.042450Z

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 a2fb2050-0c24-4698-8b9d-d5aff5d9084e · inbound

MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness cites this paper.

MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:57:08.219349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-19T05:55:04.968918Z digest=sha256:ebb39468650e48a2760742b6faaeb79edf49ed1ac13a49acce3d43688d686174

Observation 83bb0354-1f08-4760-8bc7-95fd71607ea8 · inbound

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models cites this paper.

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:53:11.763339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-16T17:51:32.439732Z digest=sha256:6b2dca50f00b830903613cbb0c31a472a5f8154123701c6c32539d2d36b82ef4

Observation 5c1755d7-874b-46c6-9eaf-1c78296cdd6d · inbound

A Universal Avoidance Method for Diverse Multi-branch Generation cites this paper.

A Universal Avoidance Method for Diverse Multi-branch Generation CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:51:46.374769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-10T06:47:27.899431Z digest=sha256:1a9f78ec17da48dfeea003a4a1a020fdc93fb3ee07dc469b76cc089d5e9317ef

Observation 3b738794-db19-4fab-82cd-1ab47707215b · inbound

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models cites this paper.

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:16:30.119932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-07T17:42:00.634333Z digest=sha256:d37bc3a92d9937ed46250342ee0263a6d1c43a7baa76fd1dd07279b05bbef81d

Observation b04e1da0-d1a6-46a7-9b81-93e12c0db904 · inbound

STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models cites this paper.

STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:57:09.267770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-13T02:53:35.519419Z digest=sha256:6bf2d51471a01ac21271e05e07621c69b05c957e930e1b441bbcbd1b5b30e5d3

Observation cf56579f-1c86-45e9-8d14-d790867a57e5 · inbound

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation cites this paper.

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:08.983126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-06-27T22:59:39.440344Z digest=sha256:d9c7fbb0974ed4827c642b9fa54da28f36897c0df4ae408eb47f6b21095e5d00

Observation 5523cba9-1a14-4bfb-b01b-4244b59e47f0 · inbound

Semantic Browsing: Controllable Diversity for Image Generation cites this paper.

Semantic Browsing: Controllable Diversity for Image Generation CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:09:45.484210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-06-26T09:03:48.337833Z digest=sha256:67864ebd9ebff90822fafe049ec6727c7c2f855441f90732615db8f91984e453

Observation 66f36abb-d7fd-49b6-85a2-02f533e55117 · inbound

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance cites this paper.

Don't Settle at the Mode! Mitigating Diversity Collapse in Pretrained Flow Models via Feature Self-Guidance CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:52.043687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-06-26T05:07:59.556667Z digest=sha256:8a4467327791c4a974688c9b593f64f0f84abfaf138f88c14de8fca39b614a79