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Paper Citation Record · LEDGER

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.12959.

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

pith.paper-citation-record.v1
2301.12959 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:35:35.415709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:35:35.652871Z

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 817ff40c-92d1-4c9a-9966-c94e2b68ccf4 · inbound

Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC cites this paper.

Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:35:35.663300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:35:35.415709Z digest=sha256:da5cafb11790fb89f42079f4b3a0b913f72b5512f17d23e3ee3d5507f7087dc3

Observation a8fa8345-6409-4780-8603-142a90d5912b · inbound

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:30.021535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:27:30.021535Z digest=sha256:03c533c58257d9a43f6faf49bf5d30c60556300c98bd4d30f5165f0b0ddfcc7d