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Paper Citation Record · LEDGER

Few-shot Object Localization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12466.

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

pith.paper-citation-record.v1
2403.12466 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:40:31.522297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:04.774307Z

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 cafd06df-d404-442a-ac89-9246c3e67260 · inbound

Text-guided Zero-Shot Object Localization cites this paper.

Text-guided Zero-Shot Object Localization Few-shot Object Localization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T18:40:31.522297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:40:31.522297Z digest=sha256:5c8a485bb65a8dc119cd243ef04c6fd38b56fd90435b8e97afcc07ac561c0274

Observation bfba003d-72e5-451a-84b0-adba38ada864 · inbound

Personalized Object Identification and Localization via In-Context Inference with Vision-Language Models cites this paper.

Personalized Object Identification and Localization via In-Context Inference with Vision-Language Models Few-shot Object Localization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:27:04.777120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T15:20:21.631597Z digest=sha256:68896d0268678765e5f6032df01a61cd13204f6fc9dc6afff56537fb4ae882ca