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Paper Citation Record · LEDGER

Variational Information Pursuit for Interpretable Predictions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.02876.

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

pith.paper-citation-record.v1
2302.02876 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:27:38.334188Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T14:27:38.861909Z

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 937c058d-32b0-4b5d-b66f-d4e1d490da01 · inbound

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement cites this paper.

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement Variational Information Pursuit for Interpretable Predictions

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:27:38.866893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T14:27:38.334188Z digest=sha256:3921ab7e922905ac5c7da276f2482ae9c7e1cb14345d2f0400cc3d89791404bc

Observation 52f19bd6-3651-46d4-b8cd-a4b4a7f30148 · inbound

Learning-To-Measure: In-Context Active Feature Acquisition cites this paper.

Learning-To-Measure: In-Context Active Feature Acquisition Variational Information Pursuit for Interpretable Predictions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T09:58:06.722958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:58:06.722958Z digest=sha256:549bab72021419b0cb3d681fc80ad9b5e84efaf4a7bef061fa94d0ef619752f6