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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:46d76d2bc63999250d22f688076b2c166a23bb2944dc02dc4d96c97cdee42331

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.046878Z digest=sha256:e59f2bbe7ce6cce048dfb795c4df90f0bd4d6732f92c20595939c8347ee668ff

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:b1c2e788b01912acb4f5b29d9c454d178e6e8e7dfb6dc5026f657d8ee82898e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.185817Z digest=sha256:b834fb4636ba1b16f10499f8c5050a8cce9c1e42c2c023ec8cfbd9fa7a9d2917

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.261933Z digest=sha256:259976f2f22032754c533fc09d290b062272af79900176ca707490da112b7d71

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.309803Z digest=sha256:3875b3d6ed43829537d05361c4f4a4eee8eb949940a7d3abfefd4a10615be50f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.370011Z digest=sha256:d694857d41ec6f3254584d357848c67b0160fe9628faf793fbfe00f2b2f54342

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.481077Z digest=sha256:3949953a1cc214cca29e35dc2ed4d0e91f673e0662ac5e169ad1e6d53a1e128f

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:f31350faab2d9060b45396944d41fa5df11ee20173b0a8021551cbc03dfe5670

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.611180Z digest=sha256:457e3769b45d74c71c56dbd5c331862e84e8bc6ee1379933e72d4880087ba416

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.652185Z digest=sha256:a1f51680db565c2ec9af1dd1f921dc2fdcdfffc8b501e8b82977e3eb4b6a1e03

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=sha256:37beff4382bcfdba8a105b80c9f1a0438843362adf9b239db98581b43b03969c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.820216Z digest=sha256:5a00e98b2d2d4f54f04885fe07adcf3e8a41f21b176ffa6c1477128499fed062

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.884260Z digest=sha256:11c2bd4313c8b7316481671e87d590353271b435e12379bf2a9b2074c010bbf2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.950796Z digest=sha256:c30eec4a781efb9314ffaf7e29587020d5b3c796520f7801de426adb95ab69d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:43.991133Z digest=sha256:6e16c56fb25ead8025fb86cbb84ef2cddfbceaae0883f16329dbc56033ef85a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.102198Z digest=sha256:04dc62caf47f771a8669c70bfe6464f067a9fdcf9e5a7de1eb1fa08bf5b1f5e1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.180871Z digest=sha256:cee00d16a49133a2f92f3caa7c4cbe103936ec03ba92a20db4d29d2494b7b652

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.255175Z digest=sha256:0b8585da1d66fdc6123580e34f3d65d41dc78cdb506ebe2fefd1693edc2318ce

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.350413Z digest=sha256:e98a79b4c9a9753d68e1cfe485875f1cfc4370bbe0bbdf8d2eef80e91530311a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.436625Z digest=sha256:78e2b3c42379c95009585b9d55f7e57da120393f8c4cd30db70d44e709a1cb38

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.500062Z digest=sha256:81f56dabe168982d90792ec685f0a63b07ebcd8df6c371162138ec70b9973f36

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=sha256:8498abcdcfac7cd282be5f69e1d07e507010bb912b4db2b1290002730caf976b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.607746Z digest=sha256:c418bdf0a37c3fada726bdeccdf89119b86d547d8486d39b51d59e219a68a483

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.687156Z digest=sha256:0b7d42d96aa114266f5a3b654eed5cd34818410f03acf93d2e87fd6ca8fb4db4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.744475Z digest=sha256:910efaab097380ec7897460a7ce574c28dc299fc63e99e7058ed4005e1ef269d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.807376Z digest=sha256:cbc63c7d368290b2ddce3dbf445f25040f3335aa608861409a3af0c351cd3822

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.890375Z digest=sha256:45e002ae5cbe1f717eb40ebb13006b7b5640881d37385d3be4440b5dff8ee8ed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:44.970769Z digest=sha256:d309bf81e7bfce2c71acddc390ad0de56a486dd3cd453b91512a76e684cc2486

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:cd7876dfb7e0c20101c3fac01916db327f73304c9995c0981e4b82900912df08

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.136001Z digest=sha256:9f53d0440acd44350f73650d3b1b4b8d4b4ccb284426a65dadddbb150c070801

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.203519Z digest=sha256:5bede8edaf35f68084c24d0b784f123ae18e5b52d023d08e121137c6e9c511ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.269571Z digest=sha256:9469c8e3329ae4c252b8c18201812252cd2f643888f4384866dd5ca57a745764

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.346859Z digest=sha256:15d604e24ea5ffebcd4d4132f0c83fb7b21472895f8b13b0a02c496228799210

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.434232Z digest=sha256:bfc1c3dc4deb2a180145b8193c08effe6a71cc13051d3d3d83df37472df2b012

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.524214Z digest=sha256:cfccaeab6cc3ea816332d5859471b794d51c1dfe8792f502f2a1ce44801b4e8b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.596262Z digest=sha256:0b3b84f7a9ff9482c8caef6fced35bc12ced96f99defbf14dda007ab2fd6a9dd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.677726Z digest=sha256:c8ba0ffc49df3269d9aa8c5836b404eac8b123dabc25cff4abec15d1ac875d2c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.744726Z digest=sha256:aa1e5a9f06be356b2b84a40ddc292bdef23666f8119caa8424f1c72c68172c66

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.863397Z digest=sha256:11ad65ca24c23466de205234fb2f6912a516a27af7ac39f3f352e6382374e8c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:45.918918Z digest=sha256:c0ba6eab823afddd6a47da2316f233907d47c69e40d0b7d6fbc7c17840c0a58c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.018774Z digest=sha256:d8499ee8ae312e448098874fa3b7521ee9acf3126dc5d7e127e4ebfa7c72bf2c

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=sha256:5f5db148e163e0706cc134de37f20e52d3f10d70d29c8577befeff14a581c5e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.207261Z digest=sha256:69eec229d2095b3f1ed5925ec768d2fd052df38b5448f04f7a2065477d6fd3bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.271984Z digest=sha256:3764b378956e090ddd0be8030b2b562d1a34c3eff5430326f37a00fe258a8d71

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.338872Z digest=sha256:29e9606269c6b6ee385c84b7c8418c6934fef784cd1cc8805565dab95eb36058

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.421492Z digest=sha256:bd35c0aea5e397c693c808970fb6d76ba8c61870659986ae3202effa8c465ecc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.500003Z digest=sha256:4a7a22cde861774909231940b952bc6304738c417e90737e583510768906082a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.595576Z digest=sha256:bf9db9fb834512ff6df391a6bc886bbc4004283414d50143081f15a5c3b7a1eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.685209Z digest=sha256:8d0b9e5051329229dc9cdb23484ef6c1e760faa72ecf29f937754ab1c0760a27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.752369Z digest=sha256:fa162d3611d904fce6d73f4f3690d16310a99961aa990a0463199e635c2b82b2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.832881Z digest=sha256:d785f955546fd7d3a66581ad90fab59485e08adab3a6381e36764f578f11c8e4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:11:46.932740Z digest=sha256:6e90e571a206467e02bd24c07903a070d1b72f77c8934d3f939abfc15d9f5ffd

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=sha256:210b3912be94fb6a8c73440543e1cd1f9ff269ff76279700dff4c3d2e7678fe4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:24:23.367540Z digest=sha256:61981e0880964bb97deb15edfb8c86506f68a9eff217a43af866adbe1b4079fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:00:13.017290Z digest=sha256:1ce94fa68a9e56a8e418dbed3925c268a77070882411cf0ed40773043c02b1e7

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:e2c5e1136b792b6ad8956a65b481aff3015588b22e9e07e03a5853ba58ebf6f5

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=sha256:2b7d63a24fcf989aebd69d7353e6325f2a6679ad49b339b022291ecd27fe8911