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Paper Citation Record · LEDGER

The Robustness of Structural Features in Species Interaction Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.16778.

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

pith.paper-citation-record.v1
2502.16778 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:52:18.232329Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:57:55.737136Z

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 386aa2b9-9f17-44a2-94fe-c4c3b145bd03 · inbound

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams cites this paper.

A Review and Analysis of a Parallel Approach for Decision Tree Learning from Large Data Streams The Robustness of Structural Features in Species Interaction Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:52:18.232329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:52:18.232329Z digest=sha256:bec7bbc037d2d25c721f0751b00d2dabb2637488d275aa95eed2b808765b2398

Observation 79e464fb-ab9d-484a-bd72-2117e86f9286 · inbound

A Low-Cost Machine Learning Approach for Timber Diameter Estimation cites this paper.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation The Robustness of Structural Features in Species Interaction Networks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:57:55.744304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.424670Z digest=sha256:a89ae43abfc8cce41cb8985ef95eb4b8710c39ead02dad774e211bc6c1000787