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Paper Citation Record · LEDGER

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.07879.

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

pith.paper-citation-record.v1
2210.07879 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:02:43.522989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:11:17.878048Z

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 85ff3a9a-2ac3-4f61-9959-94dd94a5d43b · inbound

ReLeaf: Benchmarking Leaf Segmentation across Domains and Species cites this paper.

ReLeaf: Benchmarking Leaf Segmentation across Domains and Species Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:11:17.885268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T17:58:25.463297Z digest=sha256:caf2fba6741645054388962c150a0d6a1a53e3d06c569d6e9fb7acf836cc71c0

Observation d0f91d4b-ae79-4c23-90c5-95c48e22748b · inbound

Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data cites this paper.

Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-01T15:02:43.522989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:02:43.522989Z digest=sha256:efb3c9c204ddde6f192f5589c59862e830c0adc035258158964d3f0f995020c2