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Paper Citation Record · LEDGER

Benchmarking Linguistic Diversity of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.10271.

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

pith.paper-citation-record.v1
2412.10271 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:54:17.435991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.936767Z

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 36d0c390-8b55-4bff-8ba5-e30f7019289b · inbound

Human-LLM Coevolution: Evidence from Academic Writing cites this paper.

Human-LLM Coevolution: Evidence from Academic Writing Benchmarking Linguistic Diversity of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T20:54:17.435991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:54:17.435991Z digest=sha256:f4007ac9fea7844075e96c33ffb9234df997beb77758610d7131182afd8a9ff5

Observation d9af059f-56d3-479c-a3bd-b1f8f89b5de6 · inbound

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs cites this paper.

Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs Benchmarking Linguistic Diversity of Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:47:07.221908Z

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=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:df5c5fbb3b5c4a525deda7d07451397da4e49ffeb9bf07c1872e69ae11cf630e

Observation 5d5c7307-fa6d-4da9-83be-7d3bf0d561ab · inbound

Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation cites this paper.

Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation Benchmarking Linguistic Diversity of Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T02:21:59.239246Z

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=2026-05-19T02:20:03.766702Z digest=sha256:5695b69a5f60772b1147b643ab61edd70b5bc1a0ad1c62ee281375d7cd3261d2

Observation 324fc313-9ff8-4574-be95-66ff29ff372a · inbound

Quality-constrained Entropy Maximization Policy Optimization for LLM Diversity cites this paper.

Quality-constrained Entropy Maximization Policy Optimization for LLM Diversity Benchmarking Linguistic Diversity of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T01:05:26.105939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:05:26.105939Z digest=sha256:7ac12e60511ce0fdb1074a79bf29c4168714e3b0834785d80cf50b979f0c4ead

Observation 44128d9f-b999-432b-94ed-b50ee045095e · inbound

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text Benchmarking Linguistic Diversity of Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:28.284167Z

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=arxiv_source observed=2026-05-07T07:58:44.632993Z digest=sha256:cd7e03299e686708b7ef651b0f50078e000ab2f09b8ba7ba4e858ed598854598

Observation 455033da-63b1-4bf5-8477-785b7470a348 · inbound

More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs cites this paper.

More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs Benchmarking Linguistic Diversity of Large Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:51:12.002022Z

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=arxiv_source observed=2026-05-08T10:49:44.483780Z digest=sha256:e7b50ceed998966f723bc5d8017de312d8f6657a0a88d65fc64407d2576c0a1f

Observation fdd40812-d6bf-481e-9f3b-ca7ce5e4bf7d · inbound

"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise cites this paper.

"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise Benchmarking Linguistic Diversity of Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:20.806195Z

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=arxiv_source observed=2026-06-28T14:51:06.448678Z digest=sha256:de442eedb3c24c99290321741df249a011d87fc9ccdcd2f6ce9bcc42118a52dd

Observation 661133f3-1438-4929-9382-6a90e3263d5e · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Benchmarking Linguistic Diversity of Large Language Models

Reference 255

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:37.938188Z

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=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:2ff97e2a7357dcdc9f92cf47fc079ce9d82b10624b4f368ea3c50c434d867922