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Paper Citation Record · LEDGER

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.06752.

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

pith.paper-citation-record.v1
2311.06752 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:02.193944Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:49:09.565295Z

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 5f503239-41b8-4818-8b80-9e3eec994d17 · inbound

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning cites this paper.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:49:09.678792Z

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=2026-08-07T14:49:02.193944Z digest=sha256:b54592632d761eacdcbaa36be07547bb0f6f51dac7f62870973abc37ec57ec72

Observation 7294fba7-2fd0-4f75-9117-5a03d700d350 · inbound

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration cites this paper.

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T17:40:26.320960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:40:26.320960Z digest=sha256:8c98c8505b3f09a1a19e87905d541e22eff30b7f715b39f750a45ccd14bfca1c