Pith. sign in

Paper Citation Record · LEDGER

On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.07252.

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

pith.paper-citation-record.v1
2306.07252 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:09:36.687907Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T00:21:23.184244Z

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 ecdb006b-ed4b-4e2c-9076-b2dd0c672377 · inbound

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training cites this paper.

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:09:36.687907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:09:36.687907Z digest=sha256:7a0091fafd122ffaf3ad67e368076d7917d100f54c8351dd5d941a584ca62171

Observation e4b77b6e-343a-4496-8baa-fb4e8e3f8fe0 · inbound

Network Weighted Functional Regression: a method for modeling dependencies between functional data in a network cites this paper.

Network Weighted Functional Regression: a method for modeling dependencies between functional data in a network On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-10T00:21:23.191336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T00:21:22.283607Z digest=sha256:ea451fd75ba2fd8227dd3411fa20dc834a5d05d053fed81cf9a93cdbeb38923b