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Paper Citation Record · LEDGER

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.12597.

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

pith.paper-citation-record.v1
2409.12597 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:32.535730Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:01:18.174340Z

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 36338cff-0af2-4f35-92b2-ff68efbcd535 · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections LARE: Latent Augmentation using Regional Embedding with Vision-Language Model

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-12T20:40:32.535730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:40:32.535730Z digest=sha256:835718e986465c971b1a62387cf54f0f9355fcb2563f5ec2d614d29ebe60eeea

Observation 54f46195-7dce-48ae-8a50-fd7323ad5f84 · inbound

Vision and Language Reference Prompt into SAM for Few-shot Segmentation cites this paper.

Vision and Language Reference Prompt into SAM for Few-shot Segmentation LARE: Latent Augmentation using Regional Embedding with Vision-Language Model

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:01:18.179864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-09T18:01:18.096577Z digest=sha256:e4fe275f1dced63726a6550016a1bedcba57f09c0d5777a77d7186409aa1941d