Paper Citation Record · LEDGER

Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing

As of 8 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.

pith.paper-citation-record.v1
2509.00035 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:41:04.850445Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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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.