Paper Citation Record · LEDGER

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.12058.

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

pith.paper-citation-record.v1
2505.12058 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:44:49.143695Z

measured 15 of 15 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ec16231-ed40-478d-a0a2-f7240c370cc4 · outbound

This paper cites A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:44:49.320389Z

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.

Observation c70b4215-fad7-4e7f-bb3f-6c719db63b71 · outbound

This paper cites Jaikanth J.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Jaikanth J

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.103034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c8a1e29-fa53-45aa-abb2-22f6455cfa9e · outbound

This paper cites an unresolved cited work.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:44:49.352402Z

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.

Observation de949d48-5437-433d-81bc-bc3a912d0dae · outbound

This paper cites Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:44:49.244691Z

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.

Observation d2d73466-879d-4ae6-908b-cae8e3966e9f · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Harnessing large-language models to generate private synthetic text

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.113008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc7993b-b2e9-4cc6-a779-eb973ccdb27a · outbound

This paper cites Vladimir I.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Vladimir I

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:49.341057Z

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.

Observation 7befa1f8-c309-40ba-9a43-c5188c9435d8 · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.128978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d40aa916-bdc1-4071-838d-1464500e4dee · outbound

This paper cites Dataset Inference: Ownership Resolution in Machine Learning.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Dataset Inference: Ownership Resolution in Machine Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.132230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f93db07-3bcc-4c17-a883-30816218d60c · outbound

This paper cites Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, and Mikhail Yurochkin.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, and Mikhail Yurochkin

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:44:49.330745Z

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.

Observation 77c98e17-d408-4441-84e7-13f7fcd1f49a · outbound

This paper cites tinyBenchmarks: evaluating LLMs with fewer examples.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation tinyBenchmarks: evaluating LLMs with fewer examples

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.139785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235e33c2-bda0-4b2d-a0b9-c767fbf4d179 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.143695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166db7f0-7f4d-4bf6-bdc2-f6e8ebf26969 · outbound

This paper cites Holistic Evaluation of Language Models.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Holistic Evaluation of Language Models

Reference 1966

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.120283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6485176-c99e-4289-9f32-f0cd467d1647 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Measuring Massive Multitask Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.100163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ef3422-0d34-4338-86fd-75cbb5ef5f1f · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation AgentBench: Evaluating LLMs as Agents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T20:44:49.123971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01174b6c-276e-48be-a948-70db6bfb2556 · outbound

This paper cites an unresolved cited work.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:44:49.363461Z

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.

Pith citing papers

No inbound Pith citation observations are available.