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Paper Citation Record · LEDGER

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.07860.

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

pith.paper-citation-record.v1
2403.07860 v1

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:51:11.822595Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:56:40.179251Z

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 560ddeec-0fa3-42e1-8d32-b12b9fe9caf4 · inbound

Mimir: Improving Video Diffusion Models for Precise Text Understanding cites this paper.

Mimir: Improving Video Diffusion Models for Precise Text Understanding Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T22:51:11.822595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:51:11.822595Z digest=sha256:e4d651d4fd19f9777c769505f38e831c9f737030a013c5ffbd5d723b9c7c39c3

Observation bcdaec2c-5ff8-4e6a-bd0d-4a0a6c6436d3 · inbound

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models cites this paper.

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:56:40.193232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T20:56:39.855387Z digest=sha256:dd0b0410c6f44ffdc7f88f0e14c00f64d8424124f2ffe1b2729d5179739019d1