Pith. sign in

Paper Citation Record · LEDGER

Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11364.

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

pith.paper-citation-record.v1
2402.11364 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:38:53.927467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:05.631757Z

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 5ded284a-a897-4757-ad62-cdf6dab754de · inbound

Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop cites this paper.

Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-05T14:38:53.927467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:38:53.927467Z digest=sha256:0b1330643efcacd5482a9540933d22b68ad9acaa58d9f6aad85782099ddde7fc

Observation 2577d17b-3c10-40ce-ac81-226a3ceed0d3 · inbound

A meta-analysis of the effect of generative AI on productivity and learning in programming cites this paper.

A meta-analysis of the effect of generative AI on productivity and learning in programming Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:05.641006Z

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=2026-05-08T17:22:26.933712Z digest=sha256:bf49566faaf0ea6d74b1384a11aabe72c3798b87453a40435822ebb2a4e7d63e

Observation 4b768021-ef3a-467f-8894-707371c9780e · inbound

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) cites this paper.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T03:02:01.360870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:4012df20b915a116047db70f04a73aea04d20e15301da52e5742a7ab600f2a9b