Pith. sign in

Paper Citation Record · LEDGER

SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03505.

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

pith.paper-citation-record.v1
2411.03505 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:46:02.889670Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:20:13.863180Z

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 3b483f99-2dc4-4887-bb4f-0d86f3b9a311 · inbound

Preliminary Explorations with GPT-4o(mni) Native Image Generation cites this paper.

Preliminary Explorations with GPT-4o(mni) Native Image Generation SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T23:46:02.889670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:46:02.889670Z digest=sha256:20597ef93c548b194c878207fa001aabd025b981b4781dc7d2238c147f3535e6

Observation 13ab4802-cc56-465e-9c42-381cf7e60b85 · inbound

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting cites this paper.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:20:13.994591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T15:20:09.573513Z digest=sha256:a475490de9a5be2936073521fef94c27850bf7b0a013cf1c3e16f6012299f860