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Paper Citation Record · LEDGER

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.05809.

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

pith.paper-citation-record.v1
2301.05809 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:25:26.599424Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 54d2ae75-29b6-4d9d-9262-234dccd95653 · inbound

An Empirical Study to Understand How Students Use ChatGPT for Writing Essays cites this paper.

An Empirical Study to Understand How Students Use ChatGPT for Writing Essays Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:47:36.654445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T05:46:53.326852Z digest=sha256:9a1103731812c794bd21cd5f1e384c2db47efbc9f806f9f3c646b5ce0b6a46b2

Observation 7092c783-1de4-45bd-8ed6-bb5ff64baf3a · inbound

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models cites this paper.

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:25:26.599424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:25:26.599424Z digest=sha256:649793e3f91ccc2668648bb20cca75711e58ba957e0f4951f4c7cd0f18964db5