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Paper Citation Record · LEDGER

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling

As of 14 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2511.11688.

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

pith.paper-citation-record.v1
2511.11688 v3

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T19:58:09.423802Z

measured 6 of 6 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:36:59.076062Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 465118fd-4c86-4b85-88a3-d7124c7a3b26 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling Mean Flows for One-step Generative Modeling

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T20:00:33.909251Z

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=2026-05-21T19:58:09.423802Z digest=sha256:b44ade1fe8e4af86429019200f4c22c1d5bd20939fb7700ffb1f419a99ba442d

Observation 5f4cce54-dc59-4e12-8892-2dc99459453e · outbound

This paper cites Consistency Models Made Easy.

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling Consistency Models Made Easy

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:00:33.904898Z

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=2026-05-21T19:58:09.423802Z digest=sha256:0b5fb7c2674f8dbbbb5b16edc77cb590e5c9a312c88065b77ad78f22dcb62387

Observation 8b247342-e8fb-40f7-ac04-4ec659496bb7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling Denoising Diffusion Implicit Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T20:00:33.900134Z

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=2026-05-21T19:58:09.423802Z digest=sha256:d6928f938cbd289e5b6a70674a7555ef81e7c87ee4059487efe9a1fb62130c20

Observation ecb5126d-e333-42ad-aef4-bc20beabf4e3 · outbound

This paper cites Learning to Efficiently Sample from Diffusion Probabilistic Models.

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling Learning to Efficiently Sample from Diffusion Probabilistic Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:00:33.913517Z

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=2026-05-21T19:58:09.423802Z digest=sha256:c96f96598bfc8e999eb2987d4d2c66bd997d5a6606337d4e253eaa7fd28c50e8

Observation 7e6f393d-7e7f-4b34-baca-b86b1bf46fbc · outbound

This paper cites InForty-first International Conference on Machine Learn- ing.

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling InForty-first International Conference on Machine Learn- ing

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T20:00:34.309267Z

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=2026-05-21T19:58:09.423802Z digest=sha256:c64fda7efad229b2476a1b8ddf1c6dad330bd56e0368d0d1e21d3dfc85746ec2

Pith citing papers

Observation ad0221a6-61d5-404a-939e-96b5260695d4 · inbound

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models cites this paper.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T09:36:59.076062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:36:59.076062Z digest=sha256:a98957f14d7c412535eb2c95948ceda5aca7a6a8b8b3497b07cca38eec43e918