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Paper Citation Record · LEDGER

TinyFusion: Diffusion Transformers Learned Shallow

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:13.014126Z

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 0a678a28-5f88-44c4-8487-7a8823fc6d0f · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression TinyFusion: Diffusion Transformers Learned Shallow

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:13.014126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:13.014126Z digest=sha256:4d0aed7c2def9eff6b6727546aa6da8c6691701dd93790ba3e18e6cd2264d385

Observation edbe72d0-cb34-4d4e-b1b0-ac42901b1c2d · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting TinyFusion: Diffusion Transformers Learned Shallow

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:03.057675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:03.057675Z digest=sha256:639b6b33c1cc4be85b2e0a41d20d2237f8120e4349f3abbf99585e7783c08456

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:25:26.391582Z digest=sha256:54df6706ab155dbd00743f739e9b2fa44afb63e92a8ac46e992f041535bfad96

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T23:18:35.390642Z digest=sha256:3991be82a16fd3e1a35465326c741307a378868b7c24a49850715dd9e560d14c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:44:10.302520Z digest=sha256:cb41094610a7918348f7d4749c41af6cc884fe626b40ab79968c3d41ea27fc71

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.

source=pdf_text observed=2026-08-02T06:05:02.778859Z digest=sha256:4d1c880a183adfb62351f07a54ffc0c3a38c2b0980d46e7c099e2981d03cf923