Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:41:04.850445Z
Paper Citation Record · LEDGER
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing
As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.00035.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 96d8e4ee-5a44-473b-abbc-5e45242da017 · outbound
This paper cites Wafer level stress: Enabling zero defect quality for automotive microcontrollers without package burn-in,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Wafer level stress: Enabling zero defect quality for automotive microcontrollers without package burn-in,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.235168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c144cb4c-ead7-473d-9905-890a0f06a2bc · outbound
This paper cites Xgboost: A scalable tree boosting system,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Xgboost: A scalable tree boosting system,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.765599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a3bf28f-26de-4779-a724-7aab85b6a8a4 · outbound
This paper cites Catboost: unbiased boosting with categorical features,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Catboost: unbiased boosting with categorical features,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.210253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 09a7e804-899a-46f8-96f7-ee03977608db · outbound
This paper cites Domain-specific machine learning based minimum operating voltage prediction using on-chip monitor data,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Domain-specific machine learning based minimum operating voltage prediction using on-chip monitor data,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.195853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6eae4555-6d2b-44b4-a510-93c36f427c4b · outbound
This paper cites Deep Lattice Networks and Partial Monotonic Functions,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Deep Lattice Networks and Partial Monotonic Functions,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.180316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 62281d0a-6372-4a10-9235-4d9e51b1167b · outbound
This paper cites Lattice regression,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Lattice regression,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.166027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 876dc2e8-ca93-4f06-97cb-71306583466c · outbound
This paper cites Silicon odometer: An on- chip reliability monitor for measuring frequency degradation of digital circuits,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Silicon odometer: An on- chip reliability monitor for measuring frequency degradation of digital circuits,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.151173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 476e1418-515e-40ec-9e9d-3e5cfee33bdd · outbound
This paper cites An all-in-one silicon odometer for separately monitoring hci, bti, and tddb,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing An all-in-one silicon odometer for separately monitoring hci, bti, and tddb,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.134005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cdeae65b-3913-4dc6-b9c7-617932f2239d · outbound
This paper cites An array-based odometer system for statistically significant circuit aging characterization,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing An array-based odometer system for statistically significant circuit aging characterization,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.118866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 46d7422f-f516-4e45-9623-7412aeb7d7d2 · outbound
This paper cites Reliable interval prediction of minimum operating voltage based on on-chip monitors via conformal- ized quantile regression,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Reliable interval prediction of minimum operating voltage based on on-chip monitors via conformal- ized quantile regression,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.102837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b3057596-5494-4083-b51d-16511b12f494 · outbound
This paper cites Data-efficient prediction of minimum operating voltage via inter- and intra-wafer variation alignment,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Data-efficient prediction of minimum operating voltage via inter- and intra-wafer variation alignment,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.087355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 11187bf4-9d35-4ceb-850d-083c5916acfc · outbound
This paper cites Minimum operating voltage prediction in production test using accumulative learning,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Minimum operating voltage prediction in production test using accumulative learning,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.072079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 50bf4f8f-fb93-4078-9568-c3a9ad40e6f9 · outbound
This paper cites an unresolved cited work.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.819915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d140441-bd1d-4001-8768-dfb68718e03e · outbound
This paper cites Predicting multi-core system fmax by data-learning methodology,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Predicting multi-core system fmax by data-learning methodology,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.046572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 71785cc6-f2b6-47b2-a33f-5d64dc451d64 · outbound
This paper cites Data-efficient conformalized interval prediction of minimum operating voltage capturing process variations,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Data-efficient conformalized interval prediction of minimum operating voltage capturing process variations,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T17:41:05.030757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d96bedbf-5767-4d89-94e7-0637eccbf55e · outbound
This paper cites Correlation-based feature selection for machine learning,.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Correlation-based feature selection for machine learning,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.840064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7476278-eb19-4dd3-89a7-a4c74fa2a87e · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Adam: A Method for Stochastic Optimization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.844730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdf64745-1d6d-448a-85d5-c8d10ed0ba2f · outbound
This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.850445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fde03b0f-2769-4881-b5a4-f0978235def2 · outbound
This paper cites Available: https://doi.org/10.1145/3649329.3657338.
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Available: https://doi.org/10.1145/3649329.3657338
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:41:04.835695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.