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Paper Citation Record · LEDGER

Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.11473.

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

pith.paper-citation-record.v1
2312.11473 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:36:11.749628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:28:05.541631Z

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 704d7a5e-a958-4401-af98-29192ad42f73 · inbound

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection cites this paper.

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:36:11.749628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:36:11.749628Z digest=sha256:fbf61e508b8acc0b4ab5a7668471625948ecb03de4338dceadfbeb23ff30bd21

Observation dea1f57f-fdc7-4611-a13a-993b6d2b6029 · inbound

Reflective Flow Sampling Enhancement cites this paper.

Reflective Flow Sampling Enhancement Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:31:11.199031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T15:30:45.053146Z digest=sha256:22f02a878b55f840f32f48cd22462b111c14b1d982a3834c8aa7f5b9820b690b

Observation fa1ed746-64b5-4651-bade-c69543731d56 · inbound

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models cites this paper.

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:06:15.142780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T06:41:04.597012Z digest=sha256:c25fd55db333137c54c2bf81ce9443dc3339f8a7185ca15cbf51f57232b7fd9d

Observation 8ee88755-ab7f-499c-a8e5-44d34320a342 · inbound

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection cites this paper.

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:28:05.543428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T06:25:32.694239Z digest=sha256:292d8caa6da59fa3a8c8645a23b34b9d9f86f41d048161286e50bd47f7d6a0ba