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Paper Citation Record · LEDGER

Modern Question Answering Datasets and Benchmarks: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.15030.

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

pith.paper-citation-record.v1
2206.15030 v1

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 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:53:05.847082Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:58:43.169275Z

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 86850ca1-4843-4842-b521-a9bfa419eb70 · inbound

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach cites this paper.

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach Modern Question Answering Datasets and Benchmarks: A Survey

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T21:53:05.847082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:53:05.847082Z digest=sha256:cc01eb7381ad3a4266a18a6880074440a7f0ee66b582b3d626297d134f02fbb7

Observation 3ac51c20-6664-42f0-b909-35f5d2080424 · inbound

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle cites this paper.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Modern Question Answering Datasets and Benchmarks: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T12:55:17.091540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:55:17.091540Z digest=sha256:59a274cd3733c43a475ea13c2c1ed940f7ce0873c372d1ded82f157c52de4b03

Observation 6ab7bd01-949e-4c00-b78c-3c72da3bdc8b · inbound

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems cites this paper.

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems Modern Question Answering Datasets and Benchmarks: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:58.740333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:58.740333Z digest=sha256:ee0385f5030b26996273e7f86fbae354e980ba6fbd96c7e13e4658cc5af72b84

Observation ce62f2f9-023a-49ec-bdd9-6a0b8cfebb00 · inbound

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models cites this paper.

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models Modern Question Answering Datasets and Benchmarks: A Survey

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:58:43.280481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T12:58:39.766601Z digest=sha256:5a44db27304e48820212887599ac0350a65427d32ec9de45b374f6eab7bdc38c

Observation 1e11cd3c-54b8-41ef-a19d-a6368f070387 · inbound

AfriEconQA: A Benchmark for Quantitative and Temporal Reasoning over World Bank Economic Reports cites this paper.

AfriEconQA: A Benchmark for Quantitative and Temporal Reasoning over World Bank Economic Reports Modern Question Answering Datasets and Benchmarks: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T12:32:11.873054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:32:11.873054Z digest=sha256:5ec38ca663117289c30f7362ccd22c4470afa2f57bd65bc8d745723c2f612300