Paper Citation Record · LEDGER

Denoising Task Routing for Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.07138.

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

pith.paper-citation-record.v1
2310.07138 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:04.571709Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:39:38.942999Z

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 2619706c-788e-4bde-8031-6d51b3f8836d · inbound

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis cites this paper.

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis Denoising Task Routing for Diffusion Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:04.571709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0887752a-ffaa-49b9-9b73-d01f2653f656 · inbound

TinyFusion: Diffusion Transformers Learned Shallow cites this paper.

TinyFusion: Diffusion Transformers Learned Shallow Denoising Task Routing for Diffusion Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:40:19.562135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b1bad7-2e89-4b1f-a466-9a9cbe89b3f3 · inbound

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising cites this paper.

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Denoising Task Routing for Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:01.782192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f2ddfd-1233-41ba-9ece-31ce67eb62ee · inbound

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning cites this paper.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Denoising Task Routing for Diffusion Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:41.706201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3423c7b1-f050-40b4-a6f9-9a568966f4fe · inbound

Complexity-Balanced Diffusion Splitting cites this paper.

Complexity-Balanced Diffusion Splitting Denoising Task Routing for Diffusion Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:56.656090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc60b8c4-6f78-46f0-9741-044eb03cb344 · inbound

MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts cites this paper.

MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts Denoising Task Routing for Diffusion Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:39:38.944473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99f950b3-fd7e-4647-adf3-d027c90fad7d · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins Denoising Task Routing for Diffusion Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.