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Paper Citation Record · LEDGER

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.01831.

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

pith.paper-citation-record.v1
2005.01831 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:53.060892Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

24
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d54daab9-5337-4536-bacc-7e43417a0aa8 · inbound

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning cites this paper.

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:53.060892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:53.060892Z digest=sha256:aefbeb877d680f1014720be2e94f7b58cdd4f264bdab1f203dc30c99e6a7b785

Observation eff130a8-b30d-43b7-8ec2-25ccc6cec407 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

Reference 129

Resolution
verified exact
local_arxiv, observed 2026-08-01T08:38:33.896107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T08:36:29.238695Z digest=sha256:fb85d8685b15018a38881c4258a25d1f0efa6a10a7a8da9ab6c1d99a136a5387