Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.12416.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:25.493787Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:35:57.227366Z
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 e7d289b4-f724-46ec-93f4-283521502a93 · inbound
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation cites this paper.
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:13:25.493787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77c02eb8-fc25-4a29-b539-5089ee704074 · inbound
Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection cites this paper.
Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:35:57.233787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.