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Paper Citation Record · LEDGER

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.16060.

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

pith.paper-citation-record.v1
2505.16060 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:26.644757Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

54 of 54 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8622e906-8b0b-48c4-a999-8daf5d443ac4 · outbound

This paper cites GPT-4 Technical Report.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:12:21.457968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:21.457968Z digest=sha256:db0bdbcf662066f1be418c029297b6b1646684a10615a4b9a07b19e6db1d467f

Observation 06de222c-5eeb-4b11-bdfe-777b79418b75 · outbound

This paper cites The Surprising Effectiveness of Test-Time Training for Few-Shot Learning.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

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unresolved
no resolver link, observed 2026-08-07T15:12:21.572709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:21.572709Z digest=sha256:7e3a9510b511a5362915fedd5b08948c91ba000bbc0b998311c7568fd6942134

Observation cec1c1ce-e197-449c-9844-adbc8e57f70c · outbound

This paper cites Analyzing inverse problems with invertible neural networks.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Analyzing inverse problems with invertible neural networks

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.826781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:21.684308Z digest=sha256:42a42ba0c719d7dca73f1d882551ef1641232c355f1d99dc65b044e92beb3aa5

Observation 44c19e1f-ddde-4105-884d-0850e55853f3 · outbound

This paper cites Mt3: Meta test- time training for self-supervised test-time adaption.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Mt3: Meta test- time training for self-supervised test-time adaption

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.635210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:21.776758Z digest=sha256:bb73231c122972dac8b28f0dd110c89e042a47755c809df8618514f8c9d27e31

Observation d4f817fa-ad64-4980-a3fc-c27be32ff9f5 · outbound

This paper cites The novel stress simulation method for contemporary dram capacitor arrays.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond The novel stress simulation method for contemporary dram capacitor arrays

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.556766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:21.892407Z digest=sha256:e85cf02d00cc88b7a4f1847dbd6f5869f262a8d0675eafc37fbe23d5d7ecab4a

Observation e3421be2-ba91-4cd3-9aae-82cbf7f8f80e · outbound

This paper cites Springer, 2014.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Springer, 2014

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.409176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:21.952714Z digest=sha256:e4c6cf40660260e0b2a97e01494a4308e7d794a4f0bb04ede1ec682b783b797e

Observation 7a109cf4-d0a3-4fad-a4c6-ecc2ea98d6a9 · outbound

This paper cites Etch model based on machine learning.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Etch model based on machine learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.269290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:22.068206Z digest=sha256:203c26ecdcb67ede033fc6cf97d85db03cc8b60e670b7d174aa6b00a3d43d576

Observation fe71b67e-12e6-41f8-89b0-878611570b12 · outbound

This paper cites Exploring machine learning for semiconductor process optimization: a systematic review.IEEE Transactions on Artificial Intelligence, 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Exploring machine learning for semiconductor process optimization: a systematic review.IEEE Transactions on Artificial Intelligence, 2024

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.130363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:22.235995Z digest=sha256:116d4f281f3ee578760c4c48e414e04beaf080a5e39fdcbb1deecb9bb57259e1

Observation 08315539-d9ca-4f6f-a58d-b67b4f2c44e7 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A Tutorial on Bayesian Optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:22.396802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:22.396802Z digest=sha256:6614972f522fa0ef020ab00da01069fe748b235f59732755dccda0e8b1e7d67d

Observation 19f00b7e-cb1c-4909-b70f-b5852749ebf3 · outbound

This paper cites Test-time training with masked autoencoders.Advances in Neural Information Processing Systems, 35:29374–29385, 2022.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Test-time training with masked autoencoders.Advances in Neural Information Processing Systems, 35:29374–29385, 2022

Reference 10

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unresolved
no resolver link, observed 2026-08-07T15:12:22.536833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:22.536833Z digest=sha256:2e9734a062d1ad80aee52656f260cbd7dd27b97f464e05e1c2cc563e62203e30

Observation a65b6f12-29a8-4a2e-a8ec-6d3f4640c4c6 · outbound

This paper cites Internal model control.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Internal model control

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:34.011061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:22.677826Z digest=sha256:edd186f018e09f25890b10fa336d8d455389fda726a28961ee9a0b0a94540a65

Observation ae68c399-fd39-451a-bd8f-afb94a83b646 · outbound

This paper cites A survey of deep learning techniques for autonomous driving.Journal of field robotics, 37(3):362–386, 2020.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A survey of deep learning techniques for autonomous driving.Journal of field robotics, 37(3):362–386, 2020

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:22.779690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:22.779690Z digest=sha256:d6875bdfa6e6c4c47d4d5bd5e96dbe9e86697fb7a01276140e56257b32a36831

Observation 2f6ac4dd-9d98-438a-9a43-3951cfaf3ee2 · outbound

This paper cites Safe multi-agent reinforcement learning for multi-robot control.Artificial Intelligence, 319:103905, 2023.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Safe multi-agent reinforcement learning for multi-robot control.Artificial Intelligence, 319:103905, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:33.867616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:22.850701Z digest=sha256:b30512b91f062c170c3e294e5711374c0a493fae2818bcc4ef6d92232c1555c1

Observation 9cd32049-05b3-4c0f-b230-ecaf89c5d252 · outbound

This paper cites an unresolved cited work.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:12:33.698651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:22.940478Z digest=sha256:ac3fdb973ae4bb3e4a67639bc7799196705b3c517ff4650311532dbef887ebdd

Observation 3b635ea8-0785-4295-9736-8f4ab423d298 · outbound

This paper cites Bridging tcad and ai: Its application to semiconductor design.IEEE Transactions on Electron Devices, 68(11):5364– 5371, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Bridging tcad and ai: Its application to semiconductor design.IEEE Transactions on Electron Devices, 68(11):5364– 5371, 2021

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:33.524762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.021671Z digest=sha256:5a8555166e5d419b67bf4fb22ab31e0d3dea68dcb6e7af74b38074afe75b6633

Observation ff9950c7-6349-4d88-8647-46616ef93e52 · outbound

This paper cites Royal society of chemistry, 2009.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Royal society of chemistry, 2009

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:33.381925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.109435Z digest=sha256:9aeff80a5f75c7806d5dca1b3a607e83efcce85027540eb35a58b29bac694ef0

Observation cbe5e493-b76f-4022-b6d2-262c77c9fb18 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:23.199112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:23.199112Z digest=sha256:c99269d49e3f86b3de73f123e11ed52b278b2279d105f59848545ec151ffd13e

Observation e93c48e0-fb08-41dc-9a4b-2e4737e1b342 · outbound

This paper cites Human–machine collaboration for improving semiconductor process development.Nature, 616(7958):707–711, 2023.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Human–machine collaboration for improving semiconductor process development.Nature, 616(7958):707–711, 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:33.245730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.269558Z digest=sha256:a06119a7f6e625f361ab9d624a5888ac95f3744e54a29eab99b07789b44c98ce

Observation c14aef36-1f7c-4390-9e78-94f1766c6830 · outbound

This paper cites Ai chips: what they are and why they matter.Center for Security and Emerging Technology, 2020.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Ai chips: what they are and why they matter.Center for Security and Emerging Technology, 2020

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:33.099481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.371732Z digest=sha256:7c4f044999b18f96da40700e9c32c78c7aee62aa75854380ac5c53a6c7f93c3b

Observation 5ddf609b-8076-4f90-b0d0-3cc9c5a6c6ed · outbound

This paper cites Prediction of silicon oxynitride plasma etching using a generalized regression neural network.Journal of applied physics, 98(3), 2005.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Prediction of silicon oxynitride plasma etching using a generalized regression neural network.Journal of applied physics, 98(3), 2005

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.955423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.491474Z digest=sha256:f492f9e1cc2838468d96580bf7e075ddb2b2c88069f24a4eb564a8133041f2d6

Observation 86c8f582-bae6-449c-bb8d-df4d29fe1835 · outbound

This paper cites Application of plasma information-based virtual metrology (pi-vm) for etching in c4f8/ar/o2 plasma.IEEE Transactions on Semiconductor Manufacturing, 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Application of plasma information-based virtual metrology (pi-vm) for etching in c4f8/ar/o2 plasma.IEEE Transactions on Semiconductor Manufacturing, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.768820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.597201Z digest=sha256:d58320aeec200b9b9e17c350e68bc132baa5ccb142a0ddb0b1bed99bb7ccb0ac

Observation f7331357-63ea-4071-a1ce-f6b4a27d603f · outbound

This paper cites A review of robot learning for manip- ulation: Challenges, representations, and algorithms.Journal of machine learning research, 22(30):1–82, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A review of robot learning for manip- ulation: Challenges, representations, and algorithms.Journal of machine learning research, 22(30):1–82, 2021

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.653771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.725389Z digest=sha256:2a9887d5a505d8b8026376c1e8fd1d030070aacc1517b68eaf480f9fbfadafdf

Observation 6b6285cc-100b-4fca-9d4d-7a6380267fdb · outbound

This paper cites Robohive: A unified framework for robot learning.Advances in Neural Information Processing Systems, 36, 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Robohive: A unified framework for robot learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.488426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:23.799361Z digest=sha256:fb3469e109f294eab5786c24d050185dc7e62928010e320bb6ab058193ecf175

Observation ab10fd84-5060-4143-b3e1-be63001a68f8 · outbound

This paper cites Deep learning.nature, 521(7553):436–444, 2015.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Deep learning.nature, 521(7553):436–444, 2015

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:23.920442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:23.920442Z digest=sha256:54cf8ba21072e0f75442e9e2bb7f428941559cf9202d2aeccca2fbd880d24ab6

Observation fb69cac0-53cf-41f1-b609-5655f5d266fb · outbound

This paper cites NETT: Solving Inverse Problems with Deep Neural Networks.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond NETT: Solving Inverse Problems with Deep Neural Networks

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:12:27.522994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.026961Z digest=sha256:e43ad67d92ef69c248ec7e9fc784b6193328c24c87259f878ac3129aabb67c15

Observation 1a4acae2-07b5-42b7-8572-4acc2a6ab031 · outbound

This paper cites Brief introduction of back propagation (bp) neural network algorithm and its improvement.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Brief introduction of back propagation (bp) neural network algorithm and its improvement

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.308106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.224596Z digest=sha256:93f9b9a752d1f7e48925d7c5cdc85534fee052341a2143882a941792e4f7bda0

Observation a943403e-659a-4c7d-af7d-a5cf10a80eb5 · outbound

This paper cites Ttt++: When does self-supervised test-time training fail or thrive?Advances in Neural Information Processing Systems, 34:21808–21820, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Ttt++: When does self-supervised test-time training fail or thrive?Advances in Neural Information Processing Systems, 34:21808–21820, 2021

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:32.097841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.340849Z digest=sha256:9dac5f4de04a7d62a82e482ca87c9380d8341fddb0d6cca7b58578a10b9d5d36

Observation d335478d-5442-4a00-bdbb-c58c0d5e1225 · outbound

This paper cites A fast and manufacture-friendly optical proximity correction based on machine learning.Microelectronic Engineering, 168:15–26, 2017.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A fast and manufacture-friendly optical proximity correction based on machine learning.Microelectronic Engineering, 168:15–26, 2017

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:31.911502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.409216Z digest=sha256:4de21715fe7c182583f9ad03c928498b9c78611bbaa7148c0ee99b90e8b55815

Observation e7ec8071-db49-49d1-b5a8-2cefa4d476a1 · outbound

This paper cites Fast pixel-based optical proximity correction based on nonparametric kernel regression.Journal of Micro/Nanolithogra- phy, MEMS, and MOEMS, 13(4):043007–043007, 2014.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Fast pixel-based optical proximity correction based on nonparametric kernel regression.Journal of Micro/Nanolithogra- phy, MEMS, and MOEMS, 13(4):043007–043007, 2014

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:31.726027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.471883Z digest=sha256:e5e428744017e3ce14ddc52ef7cbc7fc114ffb30de7739394b7c221a8c3b2cea

Observation 091e5d47-1d9e-4feb-8476-914401cfca58 · outbound

This paper cites John Wiley & Sons, 2006.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond John Wiley & Sons, 2006

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:31.451617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.566584Z digest=sha256:fa9932daab9ae11af25cf0f22df97838bee1ca07429c51201ce8e41ec207dcd0

Observation 228bc0d5-e56e-4583-bee2-e9ad77eaf919 · outbound

This paper cites Enabling dfm and apc strategies at the 32 nm technology node.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Enabling dfm and apc strategies at the 32 nm technology node

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:31.207110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.658193Z digest=sha256:74efef249bf82ed5669b7a3ac01e22078194447d806c167a6ca6e1575e6e6cfa

Observation f51d7a66-579b-4c0a-b8b9-4335202530b4 · outbound

This paper cites A Novel Approach for Semiconductor Etching Process with Inductive Biases.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A Novel Approach for Semiconductor Etching Process with Inductive Biases

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:12:27.296802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.738374Z digest=sha256:15fe2b746f90bc521a2b9bb4c24cad406e47e579b302efd37f92a39285a58e95

Observation 3903f00a-f78f-4243-b2db-e5d59551f3fa · outbound

This paper cites Modeling simplification for thermal mechanical analysis of high density chip-to-substrate connections.Journal of electronic packaging, 133(4), 2011.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Modeling simplification for thermal mechanical analysis of high density chip-to-substrate connections.Journal of electronic packaging, 133(4), 2011

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:30.957790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.828741Z digest=sha256:7d6530c70504abbac231de3bc0e1377060b16bb419f7d34be84fb8962c51f0f7

Observation d0882e8c-95e8-4655-82c5-e46f398315a5 · outbound

This paper cites Future of plasma etching for microelectronics: Challenges and opportunities.Journal of Vacuum Science & Technology B, 42(4), 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Future of plasma etching for microelectronics: Challenges and opportunities.Journal of Vacuum Science & Technology B, 42(4), 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:30.711868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:24.922500Z digest=sha256:8c10e8363b236ab6dda37fd3b6a460c746cfd9a9d6cba20da50bd00e7c4ef83d

Observation 329f8941-d911-4765-aace-4cca92526e8e · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:24.997541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:24.997541Z digest=sha256:463c3360e9d6c1c4525c3d594cb0c95739e4fcbebedb2cb0ab25705fdb21a2ce

Observation 5b182893-b323-403a-9ff0-c534b4935dd7 · outbound

This paper cites Damage-free plasma source for atomic-scale processing.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Damage-free plasma source for atomic-scale processing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:30.461906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.092980Z digest=sha256:6e40204aacbb33420d46215a30fddcbefe75c00ab57e3d5aeb45fcf496f60b84

Observation 0d0e83d8-05a1-4b21-a309-377e322e00a2 · outbound

This paper cites Plasma heating characterization of the large area inductively coupled plasma etchers with the plasma information for managing the mass production.Physics of Plasmas, 31(7), 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Plasma heating characterization of the large area inductively coupled plasma etchers with the plasma information for managing the mass production.Physics of Plasmas, 31(7), 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:30.215852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.171988Z digest=sha256:216c1f44b6cc9c466bb8a450d2a17b3de02b3e59f4591698a3f225483ef46160

Observation b1e08812-1826-4bf1-8518-489800b09488 · outbound

This paper cites Perspectives on artificial intelligence for plasma-assisted manufacturing in semiconductor industry.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Perspectives on artificial intelligence for plasma-assisted manufacturing in semiconductor industry

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:29.989696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.231572Z digest=sha256:83885a16d974746b3e5f953fd46f2d6bd13fff3ff147bf7302eb862f6b1b0103

Observation 34dbcd96-7ac7-4605-b774-b0fc13c4ed19 · outbound

This paper cites Advanced plasma processing: etching, deposition, and wafer bonding techniques for semiconductor applications.Semiconductor technologies, 27:81–105, 2010.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Advanced plasma processing: etching, deposition, and wafer bonding techniques for semiconductor applications.Semiconductor technologies, 27:81–105, 2010

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:29.749016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.321980Z digest=sha256:1550f4bf211b60d41c4214491854f3833c68efa4f780c12afb0ddf019d06975c

Observation 2466a9e8-9e67-47a3-a0af-97c5714a0f77 · outbound

This paper cites Three-dimensional integrated circuit (3d ic) key technol- ogy: Through-silicon via (tsv).Nanoscale research letters, 12:1–9, 2017.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Three-dimensional integrated circuit (3d ic) key technol- ogy: Through-silicon via (tsv).Nanoscale research letters, 12:1–9, 2017

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:29.526771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.413497Z digest=sha256:34c2136d59b39a3fc4ea7f2d41c21f35b748299bab5567077c7d4e84ea7b65e1

Observation 7e277a2e-9abb-4bae-9f8b-699934272a20 · outbound

This paper cites Machine learning-guided etch proximity correction.IEEE Transactions on Semiconductor Manufacturing, 30(1):1–7, 2016.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Machine learning-guided etch proximity correction.IEEE Transactions on Semiconductor Manufacturing, 30(1):1–7, 2016

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:29.372552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.526384Z digest=sha256:150ec88ff382752eeef38be171db18acb78f29c8fcc07637e41869221c330428

Observation 340f128a-420c-416c-bdd1-9e993341d0f3 · outbound

This paper cites Mas- tering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Mas- tering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:25.608424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:25.608424Z digest=sha256:fceff3b961443d81a151a323068adf577d043bdea12c1a78cb97708b461d677e

Observation f64df688-40ea-4a75-b16d-2c137ce5b419 · outbound

This paper cites Test: Test-time self- training under distribution shift.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Test: Test-time self- training under distribution shift

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:25.691423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:25.691423Z digest=sha256:44c89ef380829ba4f4879dc7085ad81afe66266d55e9178894d776ddc97e52b5

Observation f5b074e8-0c84-4b90-81d2-5a1d5a4240e3 · outbound

This paper cites Chemical vapour deposition.Nature Reviews Methods Primers, 1(1):5, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Chemical vapour deposition.Nature Reviews Methods Primers, 1(1):5, 2021

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:29.193425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.797152Z digest=sha256:cbd60200973eb778b4c6e0c84854b7bed4f7115d5bda0065347e0e994112e66c

Observation 48e614d7-3af7-449f-bb93-6731fd2c83ab · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Test-time training with self-supervision for generalization under distribution shifts

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:25.897307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:25.897307Z digest=sha256:08fcc25145af34794a49cd9c1fd1d9afb1828561955bd95194dc6a4551f5a268

Observation 3b11d90b-b260-472c-b793-e315b82e90dc · outbound

This paper cites Modeling of layout-dependent stress effect in cmos design.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Modeling of layout-dependent stress effect in cmos design

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:28.926309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:25.991069Z digest=sha256:091e56c2f2fd08a296100b17c2c8286145d375af007f6cf737bf3982be9dfa4b

Observation 0a840475-3266-4210-bbc3-c78df781a0d5 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Tent: Fully test-time adaptation by entropy minimization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:26.108660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:26.108660Z digest=sha256:71cd5ea3a7cee8d541dec934b4d33f2272c3625bfe178687a09bfea76f7d3f72

Observation a5587f24-05fc-446d-993b-86bba284156c · outbound

This paper cites Data-driven machine learning predictor model for optimal operation of a thermal atomic layer etching reactor.Industrial & Engineering Chemistry Research, 63(45):19693–19706, 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Data-driven machine learning predictor model for optimal operation of a thermal atomic layer etching reactor.Industrial & Engineering Chemistry Research, 63(45):19693–19706, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:28.730885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.214470Z digest=sha256:1bad3092ce95cbb17935b4b825928a0272b834f0c786f3881f0c3cc5ce2c3499

Observation a47e4a32-ec7d-43c3-b685-706d8e65a253 · outbound

This paper cites Attention is all you need.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Attention is all you need

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:28.464000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.258157Z digest=sha256:02412a058118c9a08aeac89cdf32247ae1687dc2f0b9a2c4f67f3588ce74ab26

Observation fe12ce53-57f6-4d07-b384-c4d65008c779 · outbound

This paper cites SPIE press, 2009.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond SPIE press, 2009

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:28.253812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.342565Z digest=sha256:a1906cc365ad355762c82108b473db5aef1006f2caccc3b1eda6b0c35b15ee03

Observation 5000d28c-bf6c-41bd-9608-3b6b17ae7802 · outbound

This paper cites Multiscale modeling and recurrent neural network based optimization of a plasma etch process.Processes, 9(1):151, 2021.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Multiscale modeling and recurrent neural network based optimization of a plasma etch process.Processes, 9(1):151, 2021

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:28.045336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.426114Z digest=sha256:b72bcba3ede9fba2176b887b46549b3eb388b943253f695d33e43ff8da01b6b1

Observation bd3012fa-a70f-4c0e-bb09-d024efde5bed · outbound

This paper cites Etching process prediction based on cascade recurrent neural network.Engineering Applications of Artificial Intelligence, 139:109590, 2025.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Etching process prediction based on cascade recurrent neural network.Engineering Applications of Artificial Intelligence, 139:109590, 2025

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:27.873550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.495068Z digest=sha256:e213f34d1c56a21df5943ac39c9ebb49fa2db466084c9a2d9dc0aa46cd9cbfa0

Observation 8cb6e0fc-144a-465e-b981-c6ee16662e7e · outbound

This paper cites Autonomous driving system: A comprehensive survey.Expert Systems with Applications, 242:122836, 2024.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Autonomous driving system: A comprehensive survey.Expert Systems with Applications, 242:122836, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:27.689613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.551091Z digest=sha256:ed414e426a8b711960bcba4172107a0f6db70983ea297b11771b32cb17d4f94a

Observation 199a5a7d-9c09-4d8c-9a57-2a35e6a582ad · outbound

This paper cites SE" represents senior engineers, 16 and “JE.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond SE" represents senior engineers, 16 and “JE

Reference 54

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:12:27.017211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:12:26.644757Z digest=sha256:7ed3b4aba1cbdfc464e0bc7311cbaff2d68eef49733038906ba28d68f4c0d7a7

Pith citing papers

No inbound Pith citation observations are available.