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Paper Citation Record · LEDGER

PhonologyBench: Evaluating Phonological Skills of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.02456.

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

pith.paper-citation-record.v1
2404.02456 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:14.314620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:43.788613Z

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 ae376289-562c-45e4-970e-5b4f00c83c8c · inbound

KoBALT: Korean Benchmark For Advanced Linguistic Tasks cites this paper.

KoBALT: Korean Benchmark For Advanced Linguistic Tasks PhonologyBench: Evaluating Phonological Skills of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:14.314620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:14.314620Z digest=sha256:01d1e2777c0ab5acdff01b900d71a84ba3f969a8a276e0e5f78aea65fd1405c4

Observation dd7a54b9-9fee-4013-9472-77e002f19bc7 · inbound

P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs cites this paper.

P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs PhonologyBench: Evaluating Phonological Skills of Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:08:33.577382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:08:33.577382Z digest=sha256:b9e11b13d954da1087b15a6473ce8a04742b13877650106a06fc5a2c0e9e3b64

Observation 019263bb-6be6-46ca-beda-27c06c8dfbe5 · inbound

How Tokenization Limits Phonological Knowledge Representation in Language Models and How to Improve Them cites this paper.

How Tokenization Limits Phonological Knowledge Representation in Language Models and How to Improve Them PhonologyBench: Evaluating Phonological Skills of Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:51:46.098232Z

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.

source=arxiv_source observed=2026-05-10T06:48:45.333416Z digest=sha256:cbb6bce4a629f881d992d854ccadb9ed4444199a0c6bc0e60f2f77f468da1b04

Observation df1a864a-823f-4255-8766-d0047b29a432 · inbound

Benchmarking Large Language Models for Grapheme-to-Phoneme Conversion: A Japanese Case Study cites this paper.

Benchmarking Large Language Models for Grapheme-to-Phoneme Conversion: A Japanese Case Study PhonologyBench: Evaluating Phonological Skills of Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:43.790154Z

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.

source=pdf_text observed=2026-06-26T11:58:45.534945Z digest=sha256:fbb9a51c7dfc1f4e1e76a310aee1a80518e7ea671aa9632e0acb16f004ec04ec