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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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=sha256:9b9d6aa4edb1c9ede1994a2593ad7901ffed52dc85694810add76e3baeb3a2f9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.046878Z digest=sha256:6fba75c6255ca8a5cf436a576e574093896eeb520e972a791e9a55cc354e6f29

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:fbcc0b80c8058f484346bb8e385e8bf13c28421dee96f36d23ee71a6f0189e3f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.185817Z digest=sha256:86eeafd832848cc886bf20b618f7e1d9eb959220e863c3d678f87945fe4fad3e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.261933Z digest=sha256:23345f8a441570790e13ab196438549f7ce2133439b8ae228050f720ca5acc55

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.309803Z digest=sha256:ed0296ea074bc20347e366863c163e83d6c7f08009e643d6ea4d0fd735915d14

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.370011Z digest=sha256:b41b89010a45a56d92d458d300cc21ac83b50230ee42adcdfc553e254d3f0ded

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.481077Z digest=sha256:7d91b08861eec19be29daea4459bea10dd73755562797a585e26b52b2f4f1b59

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=sha256:39ee45d31358734e9ed9fab9c694721d6fa206a23fbd8efc408ad069af7f0828

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.611180Z digest=sha256:9e4b660d050691c10fec44dba66dad43270a39aa3a674f119e0695e672689221

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.652185Z digest=sha256:a0fc1b2a7e616257736395672f7e7a9f7593ef683d3af1da9761f833ed78284c

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=sha256:20b7a456107647b6f7a16ecabff174b308e5a50ca7f6deafab8f528726a80e22

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.820216Z digest=sha256:3ffea3042c525150045cf03b11736079c55acd43af770a00692e1bc50a16213b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.884260Z digest=sha256:1959f7e4c6e802ef8cc40481b43a4c5859b234e648dc80e78398fa1655d57196

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.950796Z digest=sha256:833a25e24e70c493ad5ae39ca516cb1db1ef1e399368e3061fbfe51e09420373

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:43.991133Z digest=sha256:6a7102612011914b439a3a4046edcd5d1bb077163ed496f8658e5df9fde7e4ea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.102198Z digest=sha256:1db0731b8f49a5642d73112235e85ea12641316398c991c25064d6d63739e9b8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.180871Z digest=sha256:37940f1197772901b0c1278d0a63517483535fd73ff8ef1ccfcc67d05495adb5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.255175Z digest=sha256:8eae60ee15b5ea854a9a56acc25b2a4d34c36dba159ac4fc578c734cf4b89e39

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.350413Z digest=sha256:66b0f140d37904a0ab57d328444a443c8150f635c1b1003d3a81cc126ee70770

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.436625Z digest=sha256:c9706ba9fb9edd6ca17ad94e5ccce538c14992d19aaf0968381825fe9f13e59a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.500062Z digest=sha256:79a2c8518941ac105e23a755c167ba1cfebe50d5b81b487174f218a83c3580c4

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=sha256:526f561529670b8235e2cdf6f8ec6c397fce3ae772bbe209e94540bf3067426c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.607746Z digest=sha256:97e26eb560f0d84f595cb438717454e26eefbae59d051aebc0f04e1eea94d80c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.687156Z digest=sha256:053b3f40261ce1ea0037906a7709b27c093b043fff886ff7c543d045442d2cec

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.744475Z digest=sha256:a2637bd28aac1e0e55265961707885e6438c8c36820146648b21bc563d57dbb6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.807376Z digest=sha256:e47728e63e06eb14b3a8e88086d37971ac6b4defc8e207174560c3d3e0d88d75

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.890375Z digest=sha256:0e11dbaf9897ed7884df167fa4a0257abaec9ef42dce514a543234155f003106

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:44.970769Z digest=sha256:159327a22d810c03a924e9dab514faeeaa84013177412c32c204a3051329f9c2

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=sha256:94d46c82ca9f097a8fd81be5d5445182b8d92aa9bd9118cda623cdae8e3adc9a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.136001Z digest=sha256:e4de873bccac910fa455279cf9c184e004802bf3f98c76b4cf6c6e007b551760

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.203519Z digest=sha256:0728f961e4fe064e5637296021c51fd160b3bbe648a95884c6c2aea6a5395491

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.269571Z digest=sha256:b8340b3a909d5cd2ff8e351e036940110f53a0da2e901d36ac27cc018f1b209d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.346859Z digest=sha256:246be30ae752754341d461406911029316fe52121371c8b81b63ce8148cb4d11

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.434232Z digest=sha256:8e5e54abff5ed9bf79f74a0302bd4b12e9dbad0da691c66f355bcc7f69c56a3e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.524214Z digest=sha256:f27bb5aca508f2dd98b71f800fef2e9893642b252c2eba24ab7118176ae3e108

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.596262Z digest=sha256:515a8e58b0c542e06dd2ce7a4efbf54ea60bef1d8009574ea974cd47eb015b06

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.677726Z digest=sha256:89ab4bd7e351658f1e3c07dc6235eb7019932ac112986993e21641d4accd431c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.744726Z digest=sha256:46ba3c3a7731efe9b66c516e10ea0e94b5a05ad40df6e0aa2203b9f9785ab000

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.863397Z digest=sha256:66fb21a07a6c752c783dd7a279ee4290441686969d2278b6d307d5ff02553027

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:45.918918Z digest=sha256:81eea900607111b27ea80d20818c362688e567dda80787d31561df9a348ceeaf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.018774Z digest=sha256:b30bbb96a57c0d7be25273df5bfca41fcbc4ac9b9169138b8b25938fe8f31ff3

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=sha256:8ebbd9f5682d758fc4440a326f4f22b6e3a94824eb7fe2bbbabc34b2edc723f0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.207261Z digest=sha256:6ed5d0106765480f086858b8581993708373f860bca9a1b269473d7e7d361e74

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.271984Z digest=sha256:56cff083e037440684a71645ee81f559a0697f1638e116520ff695f8137e29ac

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.338872Z digest=sha256:95f33941b737fdd6ae660584cc535ab38aa2eee9d180252d202a416d54b6440f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.421492Z digest=sha256:3d5bd0cf657cefc9ef3deec7fd01736e7e55de99f0773944de6bd1691145f0ee

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.500003Z digest=sha256:61d2179023a9c888b9a1e7b99f0fa46575340ba07b8dd1c1f93b066137ccaec3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.595576Z digest=sha256:089229cddbbf2c268753c21cee3767dc4b07cfb16876d60f90a9d9f7bdde6814

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.685209Z digest=sha256:33223fffc99f5345ee1ec4eff04ae50ef6969aee199c856c90d04b5fccc7acc6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.752369Z digest=sha256:7c5912b30f660218ff5feacb1ad1783f9ffc2f968d3b5c3664817f2d6571e9ed

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.832881Z digest=sha256:03de61f5e8d23a7b595c76ac5d4ea6ece26d60fbb4f61b89634dd1f18013bc69

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:11:46.932740Z digest=sha256:39f8054a86ac0bd5f35c8f409f4606525f4981bef6a3ea4d85db427477a97023

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=sha256:7187c0a7b008ac9a41256d6a3875cddee8adc29ef28fa0ae5bb298ba5747d585

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:24:23.367540Z digest=sha256:80cf864dacdca123f90843772dd5f620cabadf56534ddff4ff26dc67c9583b69

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T01:00:13.017290Z digest=sha256:1a20139c711eaeaa0aaf4578242a9ff8ffce95e55409b030d81bee4ebb85ce8b

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:e0bbcfecd2d23e4e3f6ec480c241a277ea078e92d0af96cb4b2d53184358366d

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=sha256:3c046bc3edf645cafd13f97c2b9c687ac5f84ea06743b5d3a52540be2d8bbdb7