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Paper Citation Record · LEDGER

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 5 inbound Pith citation observations for arXiv:2506.03278.

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

pith.paper-citation-record.v1
2506.03278 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:11:46.932740Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:45.690295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:31:25.894977Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55ec659f-76f2-4bdc-885b-ef1db88c9b49 · outbound

This paper cites Phi-4 Technical Report.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Phi-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:42.963865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:42.963865Z digest=sha256:0e5e72a635894c9d67e2e706a333a8a105b7d7c44e33608fd54c1eb206bb32ce

Observation b248797b-97c1-42af-afdd-31c34be2e5a8 · outbound

This paper cites Rest meets react: Self-improvement for multi-step reasoning llm agent, 2023.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Rest meets react: Self-improvement for multi-step reasoning llm agent, 2023

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.702403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.046878Z digest=sha256:6263ce1879c7ed56430bb2e56855019ce853102a038b2feec72c2dfb600109d0

Observation 25b456a3-6aaa-4bab-af00-83321124a183 · outbound

This paper cites Qwen Technical Report.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Qwen Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:43.106433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:43.106433Z digest=sha256:19f4d86262d404ca9a69a62e7fabadccbca66797ef89a1ec954203e88ca88917

Observation 79d1fe97-ee84-4fda-b195-61e7a6f1b0e0 · outbound

This paper cites an unresolved cited work.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:52.696001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.185817Z digest=sha256:b62efbc4150bf993f3f42cd1d5eabffabbf61613cbef3a242dbeb438953d37b3

Observation 895d2278-6b97-48f4-89d4-ef8e1401cd02 · outbound

This paper cites Wind power forecasting, 2020.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Wind power forecasting, 2020

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.690018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.261933Z digest=sha256:1acc735895b089a0c051f2ef02aa094f40114d10e2140f62fbec7984aed2d601

Observation 18f57dc2-54ea-4771-9d20-9b6b1f701f4a · outbound

This paper cites A coefficient of agreement for nominal scales.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes A coefficient of agreement for nominal scales

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.683613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.309803Z digest=sha256:f02cffde84bb906481a90611cf28f2143187f594a537a882e214e3afd5375042

Observation b6d9759e-6173-40aa-a8c3-1b2676e10ff1 · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Opencompass: A universal evaluation platform for foundation models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.677238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.370011Z digest=sha256:2fe14d36522a596a480f58dfad0fe74a7692292bd97ad76cf36a7bdd3ca97565

Observation 9bc4a94c-afa5-4a00-8956-11468fec5594 · outbound

This paper cites Granite 3.0 language models, October 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Granite 3.0 language models, October 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.670791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.481077Z digest=sha256:89feedf019a2a374b9a03cc4e976cbc383142376f841ad326ea267bb795c8abc

Observation fcec0f61-31f6-421d-9302-628b871218fd · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:43.527675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:43.527675Z digest=sha256:7327f5bc2659dc912cc39d4db70f919a4b16879304a59e6d8190e1701cb85be2

Observation d4e5d3e1-1d68-41e8-8274-7805d5afc83c · outbound

This paper cites O., AND PFISTER , T.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes O., AND PFISTER , T

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.664610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.611180Z digest=sha256:04e8bbb9487cef79dae7eb60832f2a613a34e21b25ce0ecd8668f1fc78e03418

Observation a87a601a-f422-406f-91fa-e3e3fbf2f4b4 · outbound

This paper cites Condition monitoring and diagnostics of machines — general guidelines.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Condition monitoring and diagnostics of machines — general guidelines

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.658718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.652185Z digest=sha256:24dad307f4db4924ace3051e1da3cfe03dc308674bced9556039bb608b7fc5ef

Observation fa015a94-330d-4cb3-9c9a-7d8b874d5fa9 · outbound

This paper cites LLM-Select: Feature Selection with Large Language Models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes LLM-Select: Feature Selection with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:43.758581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:43.758581Z digest=sha256:8d404bbff7f9776a1acba3d2d986b09086547ed1eda2d3f0585b10ebe156f844

Observation 7009e7c7-ce5b-44d9-8a9b-77c7f30db939 · outbound

This paper cites Q., S ABLAYROLLES , A., M ENSCH , A., B AMFORD , C., C HAPLOT , D.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Q., S ABLAYROLLES , A., M ENSCH , A., B AMFORD , C., C HAPLOT , D

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.652329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.820216Z digest=sha256:9e3596e014d93ccb9a70b934e105691bf75ac670a0fae33a51cfd0588aafd74c

Observation 5ad840d8-6411-4554-8aaa-629599859e61 · outbound

This paper cites Perteval: Unveiling real knowledge capacity of llms with knowledge-invariant perturbations, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Perteval: Unveiling real knowledge capacity of llms with knowledge-invariant perturbations, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.646046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.884260Z digest=sha256:a5d0a42e0a7535b84c6439156b054cca7b6f829c1d99bc0892f5c6318592b625

Observation 51380a0a-3f75-40a3-acb9-d8db7b224c63 · outbound

This paper cites Q., X IA, L., AND DU, X.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Q., X IA, L., AND DU, X

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.639691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.950796Z digest=sha256:85238748c6fcb0afd3e27e1102332be9dd2f0119d0310d8e8c594eab0a88e2c7

Observation fef6cf9b-858e-4d35-a9d3-f37905077aa7 · outbound

This paper cites Are clinical t5 models better for clinical text?, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Are clinical t5 models better for clinical text?, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.633604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:43.991133Z digest=sha256:b6ed5c34200829b0cf9a9b1b11bdb7bb747613c368737e040a6e5caeadf287fe

Observation 188e9ef7-a64c-4b29-9418-89fa153b72a7 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods, 2022.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Truthfulqa: Measuring how models mimic human falsehoods, 2022

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.627515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.102198Z digest=sha256:1f170eaa04e914136c8e3b67664a6d5a52efa467376ad3ba22806e62e710b90f

Observation 05ca3479-9c65-4027-96cf-41880b63555a · outbound

This paper cites E., M OTZFELDT , A.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes E., M OTZFELDT , A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.621533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.180871Z digest=sha256:75933d3b9d8f0de332541af8668d746f5db52c90458af1e4e00b582dce1770f0

Observation 668e4614-32f5-414d-b4ef-555341629d7f · outbound

This paper cites A., A NTYPAS , D., B ORKAKOTY , H., KIM, E., P EREZ -A LMENDROS , C., A YELE , A.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes A., A NTYPAS , D., B ORKAKOTY , H., KIM, E., P EREZ -A LMENDROS , C., A YELE , A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.614961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.255175Z digest=sha256:6d7707389ff39f941f1a9878881d5147c70d6bd26867520f958a50862f3fd2c7

Observation 8f2a7c14-7e68-4d61-9d3f-03152fb1732e · outbound

This paper cites Human-in-the-loop large-scale predictive maintenance of workstations.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Human-in-the-loop large-scale predictive maintenance of workstations

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.608601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.350413Z digest=sha256:f498085223bfc07d7dee91b03ea7d78ac07273251f0a9d2238d056a7b30d287e

Observation 7d4471bc-a9f5-4bec-acd2-6cfe44956c23 · outbound

This paper cites Predictive maintenance dataset - air compressor, 2023.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Predictive maintenance dataset - air compressor, 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.403838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.436625Z digest=sha256:d5454269bdd84c15105b9ee81e9947bf16af026eced4f789a160b5c1d16cbff5

Observation 600cc821-baa9-4d06-8ddf-41f514ebe3f7 · outbound

This paper cites o1-preview, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes o1-preview, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:52.156070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.500062Z digest=sha256:383ab1102dc546dbe68db7e37996744deb57220a2190a5e279f537b3e20a7878

Observation 62d34668-ef94-42ce-9700-f2ea63de25ff · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Scaling Instruction-Finetuned Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:44.576214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:44.576214Z digest=sha256:4359deac294448d9bd0fb2a05df46b81cbb433824351861ffcaa0d2e64ce82ef

Observation badd2176-0c13-44c0-9705-8a7f573e7b73 · outbound

This paper cites CiteME: Can language models accurately cite scientific claims? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track(2024).

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes CiteME: Can language models accurately cite scientific claims? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track(2024)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:51.888069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.607746Z digest=sha256:bf706a9a11cb9e3c14d359f18adc5eecea64d7c697f5db1ed8dfdfc8617c37e9

Observation 97ec6477-a122-45b7-98f5-2f6a31e38eb1 · outbound

This paper cites R., K OTHA , R., G UDA, V., AND RAMADEVI , Y.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes R., K OTHA , R., G UDA, V., AND RAMADEVI , Y

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:51.680429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.687156Z digest=sha256:647fd66215b5abccf42a71b943b1aec22ccc354a6d2160dca8006ba8c620ad5d

Observation 99932c14-6901-4274-a193-27babb77f5fa · outbound

This paper cites L., S TICKLAND , A.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes L., S TICKLAND , A

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:51.436310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.744475Z digest=sha256:81e7c9be2fc9359a993f089fc30070be3cedfcd96c8dff33377437f7ce62e3e3

Observation dd30e058-12ef-4e00-96be-0c6d4bcabc52 · outbound

This paper cites M., AND WINGATE , D.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes M., AND WINGATE , D

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:51.252591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.807376Z digest=sha256:34fd17cc03622683b4b01a11183fb837f38b71717c41785d7bd9735c7544152d

Observation 82ccb209-2ce3-4f23-a87e-7d144836bb15 · outbound

This paper cites Large language models for failure mode classification: An investigation, 2023.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Large language models for failure mode classification: An investigation, 2023

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:51.006990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.890375Z digest=sha256:66cac900bbbc9326e00753aff4b4bce1e9936c923dabe2c7a9ab06979b80b282

Observation 68f599a1-dafb-4b1a-8c8c-6a3fc7e8f0c5 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Gemini: A family of highly capable multimodal models, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:50.797260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:44.970769Z digest=sha256:56a5643bf35049c7633b3e557d5de687174224ac4f0d56b507e0225af1ff9f8c

Observation 2966cd27-cac0-48fb-bde1-d2cab8a63cb6 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Gemma: Open Models Based on Gemini Research and Technology

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:45.072521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:45.072521Z digest=sha256:8dd32cf25f03208078522007ccf1c07e0677d43b1ef226f42feebb1e8ca07fd0

Observation 90587168-44a5-4351-b7fd-191734ab3d19 · outbound

This paper cites an unresolved cited work.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:50.533388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.136001Z digest=sha256:1199e9412c7775ce64c8896143336e5703cf1378fc16b71bb1fa0b0960b9a8f6

Observation 2f64c864-1383-42a8-b787-f3c65b02c096 · outbound

This paper cites DireCT: Diagnostic reasoning for clinical notes via large language models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes DireCT: Diagnostic reasoning for clinical notes via large language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:50.238144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.203519Z digest=sha256:cc4215da6aa5453ac27309bd44bd62e073d130d6fdc438dc0f6eeb543e88a1dd

Observation 70d043b3-dc16-41c6-a81d-d1c6abd3db76 · outbound

This paper cites K.-W., AND LIM, E.-P.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes K.-W., AND LIM, E.-P

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:49.983823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.269571Z digest=sha256:28af4bc8075de7fd80fde1e1c0d3dc94f36246026fefd0545a61c3da1e8a3af3

Observation 539db2d7-aaa8-4677-bd33-3e2450eaf0e0 · outbound

This paper cites MMLU-pro: A more robust and challenging multi-task language understanding benchmark.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes MMLU-pro: A more robust and challenging multi-task language understanding benchmark

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:49.695263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.346859Z digest=sha256:866855809f07f77070630f89062ff7364a29797be06ca633324b44c7cdd6bd4e

Observation f627937d-c7e3-4fb4-bab0-b0a43f2562c9 · outbound

This paper cites W., J IAO, Y.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes W., J IAO, Y

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:49.492738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.434232Z digest=sha256:db03a61b903406015359531d5c4e3f943e41e56093a2d58c6a6a88f309256174

Observation 96d1a52e-1770-4f8b-b253-6530e98d4226 · outbound

This paper cites H., L E, Q.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes H., L E, Q

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:49.293805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.524214Z digest=sha256:fdd44ab43f393ea9fa6dc1dd79c6c79b40f7f956238c7be820a6c4c9820022cd

Observation 41cc4716-b415-4daa-a246-c739baec1d7c · outbound

This paper cites Benchmarking complex instruction-following with multiple constraints composition.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Benchmarking complex instruction-following with multiple constraints composition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:49.083473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.596262Z digest=sha256:b6a43ba3b129d794e11476b2af40c24471d90b00f9db73e733750934f6d95a44

Observation 063e708b-90c3-49b2-a2e6-1925b82edb1c · outbound

This paper cites Wizardlm: Empowering large language models to follow complex instructions, 2023.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Wizardlm: Empowering large language models to follow complex instructions, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.953606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.677726Z digest=sha256:49c4692a2d4041fda90e28745ec2d67b390c3757a434fa4a80948141d170fa34

Observation cd077012-f36a-40d2-8533-22ccb0776a52 · outbound

This paper cites D., H O, J.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes D., H O, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.860715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.744726Z digest=sha256:a11fef16ed40a2c6f0c22b87119a65f525cc588f7284237ea0c47a12eeef0547

Observation 3a21f3d1-4d17-4c8d-9ed6-be59f98aed6f · outbound

This paper cites Predictive maintenance for general aviation using convolutional transformers.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Predictive maintenance for general aviation using convolutional transformers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.742406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.863397Z digest=sha256:a7f4384401b03949861c1ce7844127d9486563fadad09162db9358fb0de2024b

Observation 9a60534e-69ab-4088-b5c4-0ab5cc00b496 · outbound

This paper cites Predictive maintenance for general aviation using convolutional transformers, 2022.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Predictive maintenance for general aviation using convolutional transformers, 2022

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.618799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:45.918918Z digest=sha256:dc3edb0366ded0c60b8740ee8e831f48a3e2ff88d2eb0a7572b755d4734f8c30

Observation 31a03643-34d9-4c22-80ca-d4a653b8ac5f · outbound

This paper cites W., S ALAKHUTDINOV , R., AND MANNING , C.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes W., S ALAKHUTDINOV , R., AND MANNING , C

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.501184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.018774Z digest=sha256:a869dcfe701c6a46db3f0aa9a57a71ef6502312d532bfc524642bbdf116a36c5

Observation 7fc07114-4dba-4707-8902-2ff670f007ea · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes ReAct: Synergizing Reasoning and Acting in Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:46.100253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:46.100253Z digest=sha256:bf6b0907da293d0b1c8ae485716ca6c2c7222cbe2ee039b2c972502b7e00e9c0

Observation 38686e05-e2d5-43f7-b2d8-69ca746e75c8 · outbound

This paper cites Benchmarking llms via uncertainty quantification.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Benchmarking llms via uncertainty quantification

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.389036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.207261Z digest=sha256:f6a6300e2e27273e68c4aae0cefa1a7d969ef0fbf66a3cd90b117e782f6b4014

Observation 7d854142-c524-4f7c-8a12-16709b03b111 · outbound

This paper cites Automating dataset updates towards reliable and timely evaluation of large language models.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Automating dataset updates towards reliable and timely evaluation of large language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.250071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.271984Z digest=sha256:342076908163f528f900dfcb863cf5df55521dbacd6c4d265c1840ac7c64f1eb

Observation e5bc039b-6260-42e4-910c-08da4417789e · outbound

This paper cites Trustuqa: A trustful framework for unified structured data question answering, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Trustuqa: A trustful framework for unified structured data question answering, 2024

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:48.153695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.338872Z digest=sha256:0186bef4a02ee73482c0a75c5df3efb972a91b0ef4e558ff091afa55d5958d8c

Observation f2cc6155-9ff6-4b2f-a945-6e3ac278c47d · outbound

This paper cites Multiple-choice questions are efficient and robust llm evaluators, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Multiple-choice questions are efficient and robust llm evaluators, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:47.992216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.421492Z digest=sha256:2bcd56096110755629c82d7ec2ff00674534692b862e2a02fbd68fee94c97c84

Observation 1e334d1e-453c-4117-9c2b-87c54f335cd8 · outbound

This paper cites Large language models are not robust multiple choice selectors, 2024.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Large language models are not robust multiple choice selectors, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:47.868722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.500003Z digest=sha256:c5dcfaa6057f25b50415ba22ef87203363a79b48592b5249fed739225368bd4b

Observation df1d8b51-70d6-44c9-9759-141ebf0fd3b0 · outbound

This paper cites f ailure_mode.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes f ailure_mode

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:47.762966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.595576Z digest=sha256:fdb17b7b2384bea22890feb22ded39171dc142d14386e8416ba90d6e3d9c752f

Observation 383079a9-8d3f-4ee9-ba8d-5bced96a2ea4 · outbound

This paper cites an unresolved cited work.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:47.640603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.685209Z digest=sha256:e5cba21edbbc0835e44b2ba052e4f4d49383bb8d402be2a85eca8f44b0e2e5c8

Observation 148304dc-5ea2-4698-9077-10029ff648c5 · outbound

This paper cites an unresolved cited work.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:47.486669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.752369Z digest=sha256:cf1d426fd1135bb8db7131a50793e3e20ca377167c3cb803013504a175a32cb7

Observation 62503748-25bd-470f-94ba-59410413d928 · outbound

This paper cites an unresolved cited work.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:11:47.314749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.832881Z digest=sha256:76c59179e8493aa7a30ff5d2b3f5b45a5cb8d451cd20db05aed462469cff5101

Observation 1165e109-9124-4b50-b28b-090fbbe2fe64 · outbound

This paper cites https://en.wikipedia.org/w/api.php.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes https://en.wikipedia.org/w/api.php

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:11:47.127232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:11:46.932740Z digest=sha256:08b514e0b92a15ad61e646026758115ca7d7f06015a35d84997b58bf6650da48

Pith citing papers

Observation 5729cd75-5951-494e-bf43-3dd0b08e1d63 · inbound

Towards Building General Purpose Embedding Models for Industry 4.0 Agents cites this paper.

Towards Building General Purpose Embedding Models for Industry 4.0 Agents FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:45.690295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:48:45.690295Z digest=sha256:0c9ec38d0bfaee7eee9012ee5fab1d01aa83db23ad17fba1edf8749f6f25295d

Observation c58af83c-8730-4247-91e3-ae5fee3888ed · inbound

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios cites this paper.

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:50.233183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:24:23.367540Z digest=sha256:6ba4aa6664ee4d1800f6a0d659b80281e2f1aa015e7b4840c6ec7f3f4fc76368

Observation 7c3c9f01-1900-44c4-981a-a3ea00286f73 · inbound

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules cites this paper.

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:31:25.898728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T01:00:13.017290Z digest=sha256:6e173e82a4868146ad1944b8652483afd5804cf0f2af14415c457ced374d5e4a

Observation 417d6c12-b74f-4a4b-a868-83dfde7673f4 · inbound

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation cites this paper.

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T14:42:43.792576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:42:43.792576Z digest=sha256:f6f3122b8165e130e6da124e043fae014bc4d1684879680026b1b5a63c38dad5

Observation d9432b82-d6f2-47c8-ad32-ca0b8bc61e51 · inbound

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support cites this paper.

Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T20:21:09.591983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:21:09.591983Z digest=sha256:487aa8a46599a9b0dcaceb99a1b50c2544d6151fd62d0c820e115a5c97c1b011