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Paper Citation Record · LEDGER

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.19248.

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

pith.paper-citation-record.v1
2402.19248 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:58:02.280424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:04:49.968331Z

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 62dfe044-d1d6-401c-ace2-1a251c33bd5c · inbound

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge cites this paper.

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T12:58:02.280424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:58:02.280424Z digest=sha256:64043013c50dcd8a64cfd84b3236718a124462cdf9fdccd0d6016f064d281bdc

Observation 789b1871-2765-4793-881e-421e2c0ef0e8 · inbound

Unsupervised Query Routing for Retrieval Augmented Generation cites this paper.

Unsupervised Query Routing for Retrieval Augmented Generation Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.647507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.647507Z digest=sha256:a2bf319de64e6ccc9b230a4faeb0bbc0aacdefff278aba1df9fe93b1a13b23d4

Observation 881f49b5-e80e-43e6-a185-1a4bdab8a2b1 · inbound

Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations cites this paper.

Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T14:46:41.035917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:46:41.035917Z digest=sha256:fe3c683015e813f14f1647e4325d8554ecac2e0d52ae7a6752b76c932f46d76d

Observation 569f6243-3c42-49f6-b732-c9a94fab1d9a · inbound

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs cites this paper.

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T11:01:03.489718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:01:03.489718Z digest=sha256:5bb93dd76680d3b59317cc950beb4b1c15193f193502fd0107c89fdb54280e3d

Observation 33ef7cc3-64c7-451e-85d4-5d5f7208e48b · inbound

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese cites this paper.

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:04:49.970336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T22:04:49.915916Z digest=sha256:16f2952218ddffd0775fad2852ba6907015f5facc78abcdb3a53a177c3a256c2