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Paper Citation Record · LEDGER

An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16186.

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

pith.paper-citation-record.v1
2401.16186 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:35.378807Z

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 3844bb80-e516-4625-8f39-a1e66652be8a · inbound

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency cites this paper.

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:35.378807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:35.378807Z digest=sha256:1b220db58e7e326322c736b7e2e888c619ec44c6d322418aaa71681a49906499

Observation 489aa59f-eb56-4448-833b-c079196c9102 · inbound

The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study cites this paper.

The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:10:18.861338Z

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=2026-05-25T04:09:32.859538Z digest=sha256:cd09a9d4c2e2a9e77013e46b53b45edfc495df303d4a6dea314c927bb7f5f3f9