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Paper Citation Record · LEDGER

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.01771.

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

pith.paper-citation-record.v1
2312.01771 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:45:10.874525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:18:32.879574Z

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 f585997b-c4f4-4bff-a58f-7d6ab1a7d75f · inbound

Stable Diffusion Models are Secretly Good at Visual In-Context Learning cites this paper.

Stable Diffusion Models are Secretly Good at Visual In-Context Learning IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T20:45:10.874525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:45:10.874525Z digest=sha256:45e7a4674f40380409729729e04917398c7d50afd7af60b22c5acd4af65e1e0b

Observation c5069f08-4615-4a5d-856b-c0f491c99c16 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:18:32.881024Z

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=2026-07-03T15:12:00.041335Z digest=sha256:f1035a416f834511bbdc3129c1d0b1588133c906e9845b17f9321259a51bc054

Observation 20b49d45-f8f3-4d48-8c53-9dc3d2112f75 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-12T08:05:49.527175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:05:49.527175Z digest=sha256:2b03db0657ec1030e47d3ef36d79bf38fc4cf5a80b0c2705b9c2892c3959882f

Observation d3ce74d2-4470-4623-9fa5-460e810114c7 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T09:02:25.437819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:02:25.437819Z digest=sha256:0936855d8681162a17d602bdb10a9273109d30c592c5873451d393e177de4def