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Paper Citation Record · LEDGER

Benchmarking Linguistic Diversity of Large Language Models

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:51c4e1d2b7fea205f3db7db6513481b4e2bba14377642127778197b8d6154ce4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T06:43:13.780123Z digest=sha256:beeeb7fb29bec66d7cf78d065ea1f9323126862338109ad8457e5f69a8644388

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T02:20:03.766702Z digest=sha256:2e1ff89a420dcd44979aca13cefabb398b527cc6911b6b63131ccd1288ee726c

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:a087f1ec9c17a68b0a306958316d2741e0a271b3336f34684f31ce88c9cea412

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-07T07:58:44.632993Z digest=sha256:e148617ba7d05d6118468d28243a1c8a1ab233d57f72367ea4c68b8073d41f11

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T10:49:44.483780Z digest=sha256:84e11dc86a56427e69082b515b4a86298eb0489ed78a4b4c2b91f54198600fc3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T14:51:06.448678Z digest=sha256:3c2f53ee2e24eaba0441e3e987dd520608d627d5587f72b604e9e23299d68a23

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:5a7b9db816d063960d863477c70c445d279cc89008fdc3e8796c48a54fbe27e0