Paper Citation Record · LEDGER

TinyFusion: Diffusion Transformers Learned Shallow

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.01199.

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

pith.paper-citation-record.v1
2412.01199 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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:05:02.778859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:07.775985Z

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 53b87ede-de37-4557-93fe-5721399bcbbb · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models TinyFusion: Diffusion Transformers Learned Shallow

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:05.633793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5e10b71f-c495-4be8-b564-b47ed95c825c · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models TinyFusion: Diffusion Transformers Learned Shallow

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:19:13.705869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f9f6433-35ec-46ce-98e3-aa96f9f909ac · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models TinyFusion: Diffusion Transformers Learned Shallow

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:07.777380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e877f783-d8ed-4127-b657-6ba1c515c6ff · inbound

Text2Sign: A Single-GPU Diffusion Baseline for Text-to-Sign Language Video Generation cites this paper.

Text2Sign: A Single-GPU Diffusion Baseline for Text-to-Sign Language Video Generation TinyFusion: Diffusion Transformers Learned Shallow

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T06:05:02.778859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.