Paper Citation Record · LEDGER

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation

As of 12 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2412.11988.

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

pith.paper-citation-record.v1
2412.11988 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:26:02.765845Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

11 of 11 outbound references displayed

verified exact1
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a060630d-61b3-487b-97a4-ce393b1bba62 · outbound

This paper cites an unresolved cited work.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.689181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7975dc92-c889-4679-b8b5-7caf0e115050 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.698707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c790df0f-0c01-491a-8b9f-dae81159b7bf · outbound

This paper cites AI now beats humans at basic tasks — new benchmarks are needed, says major report.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation AI now beats humans at basic tasks — new benchmarks are needed, says major report

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T14:26:02.844233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a36e48c-08d1-43dc-88e7-8e1e1e71d5e8 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.711431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97c27ac-a0a6-4193-bf31-d979cd9bc06f · outbound

This paper cites StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.722224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0211efbe-614f-420d-aa31-5eda3a7a4614 · outbound

This paper cites Fine-grained Text Style Transfer with Diffusion-Based Language Models.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Fine-grained Text Style Transfer with Diffusion-Based Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.729133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d5ea51-3a4e-49b9-951d-11f840bf0365 · outbound

This paper cites C., Shoham, Y., Wald, R., and Clark, J.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation C., Shoham, Y., Wald, R., and Clark, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:26:03.135865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b3f1a3b-871c-4b00-951f-6764fc93bd23 · outbound

This paper cites Learning to reason with LLMs.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Learning to reason with LLMs

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:26:03.114324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54d87bdb-d81b-4287-bd93-3599c098793b · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.751752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f1481b-f470-4768-be29-cc5edd664e29 · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation Crowdsourcing Multiple Choice Science Questions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.758615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f2343c-70f9-4924-a5ac-bca3add8e83a · outbound

This paper cites write newline.

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation write newline

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:26:02.765845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.