Paper Citation Record · LEDGER

The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.09807.

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

pith.paper-citation-record.v1
2311.09807 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:13.379300Z

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

8
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 3a617063-816c-4668-a12f-0be74055f795 · inbound

The Anatomy of Speech Persuasion: Linguistic Shifts in LLM-Modified Speeches cites this paper.

The Anatomy of Speech Persuasion: Linguistic Shifts in LLM-Modified Speeches The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:13.379300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43b8f4d-bb3b-462c-8989-9ac16ce16723 · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:18.948737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2822921-98b7-4968-8c90-f1459a61e799 · 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 The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:27.757714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f22bac7-b672-4349-a610-eaf3bd30727e · inbound

Generative artificial intelligence reduces social welfare through model collapse cites this paper.

Generative artificial intelligence reduces social welfare through model collapse The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:56:05.941773Z

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.

Observation 43e676dc-a2e9-478b-adba-0cdf7a8bec5e · inbound

Iterative Finetuning is Mostly Idempotent cites this paper.

Iterative Finetuning is Mostly Idempotent The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:44.514005Z

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.

Observation 8dde98ac-b9d1-40b3-ba19-c46568f05408 · inbound

When transformers learn "impossible" languages, what do they learn? cites this paper.

When transformers learn "impossible" languages, what do they learn? The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T02:15:14.451413Z

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.