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Paper Citation Record · LEDGER

Deeper Understanding of Black-box Predictions via Generalized Influence Functions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.05586.

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

pith.paper-citation-record.v1
2312.05586 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:09.426866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:12:41.484500Z

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 20e237cc-56e8-4214-8ce0-18a95b6b9961 · inbound

DMin: Scalable Training Data Influence Estimation for Diffusion Models cites this paper.

DMin: Scalable Training Data Influence Estimation for Diffusion Models Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:12:41.487250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T07:10:35.436691Z digest=sha256:fd2074851c2b4fb8b7b4abadf5b7bcfea2fae2134b804896ee2144bf5a4d4033

Observation 3e19ec5e-694d-4b1b-a5cf-25db21db0fb3 · inbound

DeGLIF for Label Noise Robust Node Classification using GNNs cites this paper.

DeGLIF for Label Noise Robust Node Classification using GNNs Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:09.426866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:09.426866Z digest=sha256:064ff4efbbeb3ec57159f12c4b7fba8cce5cc54ebf82cd0b789efbf261cea44e

Observation 6f77819b-c5a2-4237-a6d4-ddeac09d287b · inbound

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis cites this paper.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T11:38:27.715740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:38:27.715740Z digest=sha256:872b4d2aa10a470621ccedbbb825c61dc74fb8382e7f2bc2d95401de6a23c25b