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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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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no resolver link, observed 2026-08-07T15:12:21.457968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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:cd03caeb7e90b0364920e87b3a14bd1ee64edfd640b21d066f958617c6a3c4f3

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:21.776758Z digest=sha256:4cf9bc8661f6998e595bd4b02051c31073c2cac0606a22b632bb7d9da7ac4f95

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:21.892407Z digest=sha256:7be71ec995095226786ba111b6fab796b15f75f884f956fac7fef2f439a48e51

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:21.952714Z digest=sha256:9860091d0198b6b4baf23b9cea474c64cb140162cb1eae6976064b986e78f1f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:22.068206Z digest=sha256:fbf7347cda66463552908c41d2aace65e33afd590457a2399c4df28f1b0beac7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:22.235995Z digest=sha256:cb73062b4ad00808702350c347b80c303c7ce77a2b4372be6be9812fb581d20d

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

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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=sha256:0eb291aa948e3dc005e3650921b7448a9ad00ad2cc3a86a94e5613786958b90e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:22.677826Z digest=sha256:86102c5fc74e052b0ae4c866e9827c8364831e738c31082542582991358ddfd6

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:22.850701Z digest=sha256:b1a155a924ce19c9ad8bb419a459d822a9514fdf3107d2e08dcedadc84699190

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:22.940478Z digest=sha256:9bbbc85c303d63ca282f8e0a45a5ffcac60f9dd9da9f7915f8b310031bb20c25

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.021671Z digest=sha256:5a7c3f0adecc616063a6e16f1f0c2d62881691c6136df62e25f8998284597c6d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.109435Z digest=sha256:43be6f732bb43b9b7142bd58ae1ccd130ac0ef66d86b0df77ff6eb144274283a

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

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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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.269558Z digest=sha256:33e3043ee07211fb48c1b092cd95d35e498c80f9b87fedf3a5bd00340f7313e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.371732Z digest=sha256:920451dd91fd4dcebd8e738c2629737162d4a38862c2e78848b53be47b2172c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.491474Z digest=sha256:04f35e7859b6dd51de4c798f3f12763182e8350b9a17ac1ef20e724f2d08ebad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.597201Z digest=sha256:50e2a1f094b65767b198fd28b866448f54970ae7aa23d019882b9b66a271043b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.725389Z digest=sha256:3f5a2a5fa8209a1a295015a88750c20bb97b479b3cc94be7ddfd751dec090f7a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:23.799361Z digest=sha256:7d813ec3d3f5bd29bcce45275ad2a322013050200b7b8369fd3b45b243b189e8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.026961Z digest=sha256:6c6679028e3c787772af31e5c57c8914fd3fa60245efaa6a4ccab599b8a26ef6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.224596Z digest=sha256:3994131caa3f66d844f1c58c5267739e53b4d280e69cd990ed145ae4b3ca9a91

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.340849Z digest=sha256:7fc1a1e750ffb2ec2992f7ba4a3e24a156163fe0c7ac6613da30151cb72b08ae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.409216Z digest=sha256:399a6b30e1a101557ee3f9039e16db7507c4a40dd99605ed018fdcc12ce98f46

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.471883Z digest=sha256:591b8c94e826b5002ea21bb10b8ad01de311e2cd342c1346d4eb19c79b6621ce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.566584Z digest=sha256:39a1fe80f7f96ba46b39c9ee6d71ece15cad3b804bebf555dc780423031c1c3b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.658193Z digest=sha256:38905b1d1a33e7628365a8e184d6e060f79b48ff087e245ba00efb11a6e6aaf9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.738374Z digest=sha256:b9ad90fa15d0e61dd7cc56e82e9e14d0e2a8c805b5f7ba1ded42fa0013b7d0b1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.828741Z digest=sha256:12b9ccf9c279707dd531d786bfd066f14db9ab6e314611485f78e680f97157aa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:24.922500Z digest=sha256:0435b9a376bbc8c2aa4fbd1b6c4b64e3ce1290f20d61863adf2275c7fd90be75

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.092980Z digest=sha256:61c8080d97b8a589fd1592a4597363f12df88356ce7fc267a4f7d6d8001478fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.171988Z digest=sha256:fca32a2f5e6c7a5a8965f66d64992d6bf2000070a3a8ed46bab0f17014f5eb43

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.231572Z digest=sha256:62fc316c0cf0d65186b3d30862bad4a70667c5008a859e2a8066fc2e8954ceac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.321980Z digest=sha256:2d7674c545216f45d5eb3e9d2d87e3490b9b7a0afa907fb9395f835a3028c8b4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.413497Z digest=sha256:2245879443178c8c6498ef27aa81422e230a9d03ad8c74247e2029d90d9d8408

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.526384Z digest=sha256:61ee01612866f9758a73f9c0211caf2b725faf54cbe6032c8c550230d2f8e4f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.797152Z digest=sha256:eb20832273676652b137c2946de36b9fb1f241d61641c922f0842c009a872cff

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:25.991069Z digest=sha256:1fdd8a15ae8523f2959c96c41e7d1295946ed9bead8ff6a25f088d7a271e302d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.214470Z digest=sha256:cfe4552c5b90ff3de6dde94110808b0a44162274e5675816994da617c2df068c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.258157Z digest=sha256:ebc0f8596343d31ff55e7c2dc7e21807f8a816854ee0269e84789f4eebfe1116

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.342565Z digest=sha256:4ac3e14013dcd48b995e26f5863f864a9ffebfb3964f505ba872bd64bc65194e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.426114Z digest=sha256:4fd4ea9df52cb9f717506d3dfe41d6058dba0a5b21e21f303d53fb0d234e960f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.495068Z digest=sha256:22ee5951dfca958376a751d31cb4417f2ac93c2440246a64bf8b824a7f82dfa0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.551091Z digest=sha256:b2230657b654b103fa8ce3e375d1f11b05cd064f23e6655b0806a24b581139ee

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:12:26.644757Z digest=sha256:00d4c5cc57fcede794a809921f01ebd6bd32949279cfeb81d8b56e9cd6233d36

Pith citing papers

No inbound Pith citation observations are available.