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Paper Citation Record · LEDGER

Deeply Supervised Flow-Based Generative Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.14494.

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

pith.paper-citation-record.v1
2503.14494 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:11.513331Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T18:41:28.820515Z

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 c24fecb9-67b7-4ab2-a03d-d5e391791211 · inbound

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers cites this paper.

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers Deeply Supervised Flow-Based Generative Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:33:11.513331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:33:11.513331Z digest=sha256:82f12e7c56ec1cc3a1cf860a34568a74050a8f403810bb81b18135d6b35a8405

Observation 80f1ef7a-7311-41c7-b9c1-eb5e4debdca6 · inbound

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards cites this paper.

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards Deeply Supervised Flow-Based Generative Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:41:28.823769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:40:18.940889Z digest=sha256:418bf8507da2f778deb19079684da14056077337166492d3a5a8d77a700f859d