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Paper Citation Record · LEDGER

Measuring Massive Multitask Chinese Understanding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.12986.

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

pith.paper-citation-record.v1
2304.12986 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:42.054548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.635034Z

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 45d13f79-1b12-4306-9cf3-e95e4b5d90c0 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Measuring Massive Multitask Chinese Understanding

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-28T02:04:06.147119Z

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=2026-05-24T05:10:25.171044Z digest=sha256:49ba4d33a0cc63f865a1f2516675d359c0a83fdd6bc36cc97a494d6c9f7b7f84

Observation b6a294bb-be51-42d8-a464-9bf13358b22d · inbound

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese cites this paper.

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese Measuring Massive Multitask Chinese Understanding

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:42.054548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:42.054548Z digest=sha256:99a998dcd2ad03ff6d28453b9cc818b2f19ca4cdab669a87d7e6a22799828244

Observation 3eaaf196-4ce4-42f5-b03f-4cd3310e20a7 · inbound

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice Measuring Massive Multitask Chinese Understanding

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-28T02:04:06.147119Z

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=2026-05-10T17:59:44.844149Z digest=sha256:18d13299c3baf82782eb06f420953eec8d952cbe642338df1948d2f9c67bcc4f