Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:26.644757Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:26.644757Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8622e906-8b0b-48c4-a999-8daf5d443ac4 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond GPT-4 Technical Report
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06de222c-5eeb-4b11-bdfe-777b79418b75 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cec1c1ce-e197-449c-9844-adbc8e57f70c · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Analyzing inverse problems with invertible neural networks
Reference 3
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.
Observation 44c19e1f-ddde-4105-884d-0850e55853f3 · outbound
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
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.
Observation d4f817fa-ad64-4980-a3fc-c27be32ff9f5 · outbound
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
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.
Observation e3421be2-ba91-4cd3-9aae-82cbf7f8f80e · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Springer, 2014
Reference 6
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.
Observation 7a109cf4-d0a3-4fad-a4c6-ecc2ea98d6a9 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Etch model based on machine learning
Reference 7
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.
Observation fe71b67e-12e6-41f8-89b0-878611570b12 · outbound
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
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.
Observation 08315539-d9ca-4f6f-a58d-b67b4f2c44e7 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond A Tutorial on Bayesian Optimization
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19f00b7e-cb1c-4909-b70f-b5852749ebf3 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a65b6f12-29a8-4a2e-a8ec-6d3f4640c4c6 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Internal model control
Reference 11
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.
Observation ae68c399-fd39-451a-bd8f-afb94a83b646 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f6ac4dd-9d98-438a-9a43-3951cfaf3ee2 · outbound
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
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.
Observation 9cd32049-05b3-4c0f-b230-ecaf89c5d252 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Unresolved cited work
Reference 14
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.
Observation 3b635ea8-0785-4295-9736-8f4ab423d298 · outbound
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
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.
Observation ff9950c7-6349-4d88-8647-46616ef93e52 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Royal society of chemistry, 2009
Reference 16
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.
Observation cbe5e493-b76f-4022-b6d2-262c77c9fb18 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e93c48e0-fb08-41dc-9a4b-2e4737e1b342 · outbound
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
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.
Observation c14aef36-1f7c-4390-9e78-94f1766c6830 · outbound
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
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.
Observation 5ddf609b-8076-4f90-b0d0-3cc9c5a6c6ed · outbound
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
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.
Observation 86c8f582-bae6-449c-bb8d-df4d29fe1835 · outbound
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
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.
Observation f7331357-63ea-4071-a1ce-f6b4a27d603f · outbound
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
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.
Observation 6b6285cc-100b-4fca-9d4d-7a6380267fdb · outbound
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
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.
Observation ab10fd84-5060-4143-b3e1-be63001a68f8 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Deep learning.nature, 521(7553):436–444, 2015
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb69cac0-53cf-41f1-b609-5655f5d266fb · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond NETT: Solving Inverse Problems with Deep Neural Networks
Reference 25
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.
Observation 1a4acae2-07b5-42b7-8572-4acc2a6ab031 · outbound
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
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.
Observation a943403e-659a-4c7d-af7d-a5cf10a80eb5 · outbound
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
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.
Observation d335478d-5442-4a00-bdbb-c58c0d5e1225 · outbound
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
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.
Observation e7ec8071-db49-49d1-b5a8-2cefa4d476a1 · outbound
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
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.
Observation 091e5d47-1d9e-4feb-8476-914401cfca58 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond John Wiley & Sons, 2006
Reference 30
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.
Observation 228bc0d5-e56e-4583-bee2-e9ad77eaf919 · outbound
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
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.
Observation f51d7a66-579b-4c0a-b8b9-4335202530b4 · outbound
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
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.
Observation 3903f00a-f78f-4243-b2db-e5d59551f3fa · outbound
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
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.
Observation d0882e8c-95e8-4655-82c5-e46f398315a5 · outbound
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
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.
Observation 329f8941-d911-4765-aace-4cca92526e8e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b182893-b323-403a-9ff0-c534b4935dd7 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Damage-free plasma source for atomic-scale processing
Reference 36
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.
Observation 0d0e83d8-05a1-4b21-a309-377e322e00a2 · outbound
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
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.
Observation b1e08812-1826-4bf1-8518-489800b09488 · outbound
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
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.
Observation 34dbcd96-7ac7-4605-b774-b0fc13c4ed19 · outbound
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
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.
Observation 2466a9e8-9e67-47a3-a0af-97c5714a0f77 · outbound
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
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.
Observation 7e277a2e-9abb-4bae-9f8b-699934272a20 · outbound
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
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.
Observation 340f128a-420c-416c-bdd1-9e993341d0f3 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f64df688-40ea-4a75-b16d-2c137ce5b419 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Test: Test-time self- training under distribution shift
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5b074e8-0c84-4b90-81d2-5a1d5a4240e3 · outbound
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
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.
Observation 48e614d7-3af7-449f-bb93-6731fd2c83ab · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b11d90b-b260-472c-b793-e315b82e90dc · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Modeling of layout-dependent stress effect in cmos design
Reference 46
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.
Observation 0a840475-3266-4210-bbc3-c78df781a0d5 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Tent: Fully test-time adaptation by entropy minimization
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5587f24-05fc-446d-993b-86bba284156c · outbound
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
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.
Observation a47e4a32-ec7d-43c3-b685-706d8e65a253 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond Attention is all you need
Reference 49
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.
Observation fe12ce53-57f6-4d07-b384-c4d65008c779 · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond SPIE press, 2009
Reference 50
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.
Observation 5000d28c-bf6c-41bd-9608-3b6b17ae7802 · outbound
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
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.
Observation bd3012fa-a70f-4c0e-bb09-d024efde5bed · outbound
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
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.
Observation 8cb6e0fc-144a-465e-b981-c6ee16662e7e · outbound
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
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.
Observation 199a5a7d-9c09-4d8c-9a57-2a35e6a582ad · outbound
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond SE" represents senior engineers, 16 and “JE
Reference 54
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.
No inbound Pith citation observations are available.