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Paper Citation Record · LEDGER

SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.08253.

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

pith.paper-citation-record.v1
2503.08253 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T01:07:11.234772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:06.211979Z

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 6d1635ee-40d6-4f16-9538-434873852657 · inbound

Diffuse and Disperse: Image Generation with Representation Regularization cites this paper.

Diffuse and Disperse: Image Generation with Representation Regularization SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:35.528498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:35.528498Z digest=sha256:303bca8042bcc0bf6ddc9a5225d80e69285c13e28692365bf3ec97b2a1157429

Observation f7e86fec-a416-424a-bde4-e407a2d94941 · inbound

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training cites this paper.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:40:54.174560Z

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=2026-05-10T18:55:26.852585Z digest=sha256:c5c96f6e91c0a5bfd839606640b64d26cfdc148c1b1b49b8681c443a61d730bb

Observation 28a4824d-b12f-4ba2-9936-592ae825df46 · inbound

Stage-adaptive audio diffusion modeling cites this paper.

Stage-adaptive audio diffusion modeling SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:06.217641Z

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=2026-05-08T17:21:34.140699Z digest=sha256:3958d316d53760e204c83ef9b7db44172f2edd39aaea5c79b3f12f23dd26fd68

Observation 58a4b665-cd47-43b0-a594-62e065d60301 · inbound

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models cites this paper.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:12:39.481162Z digest=sha256:de806dece9d3987ea21169704de5a8978b75d357608e38b8ed70e31d3013155f

Observation fc4ad0a0-471d-4bea-a2b0-4bfc0d587da1 · inbound

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers cites this paper.

DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T01:07:11.234772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T01:07:11.234772Z digest=sha256:042f50c6115a019632c8930adaaf50a13bea91fa63ea3f7ae0745f9905666561