Paper Citation Record · LEDGER

Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14509.

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

pith.paper-citation-record.v1
2409.14509 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:37:54.596714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.615035Z

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 28c13944-0347-4537-8d7e-6efc6bf5293d · inbound

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons cites this paper.

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:37:54.596714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836c90bf-8522-45eb-86b6-bf0820cfe716 · inbound

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations cites this paper.

A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:27.718809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d4133db-58a8-4221-9c23-47babf3b06e6 · inbound

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark cites this paper.

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T12:01:29.847638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf7ea22-2d39-4de5-ab32-8a26e302a7dd · inbound

CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories cites this paper.

CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.616434Z

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.