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Paper Citation Record · LEDGER

Bird Distribution Modelling using Remote Sensing and Citizen Science data

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.01079.

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

pith.paper-citation-record.v1
2305.01079 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:16:07.939430Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 19928c8d-69a3-4f31-b02a-29f0fce0d91a · inbound

Cutting through Complexity: How Data Science Can Help Policymakers Understand the World cites this paper.

Cutting through Complexity: How Data Science Can Help Policymakers Understand the World Bird Distribution Modelling using Remote Sensing and Citizen Science data

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:16:07.978234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T10:16:07.939430Z digest=sha256:1a06fb162806f1a74420a520c1ad1d92522291339e2a539cbafaed2d53575fe2

Observation 257e3c93-b3c0-4497-a4ff-13f90440c814 · inbound

Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors cites this paper.

Visual Species Recognition with Large Multimodal Models as Post-Hoc Correctors Bird Distribution Modelling using Remote Sensing and Citizen Science data

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-03T17:20:55.741333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:20:55.741333Z digest=sha256:3bf8a6d8cc4258c0422764e69154e8b80e3696b74bbc93c9367875c56980177a