Paper Citation Record · LEDGER

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2501.04066.

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

pith.paper-citation-record.v1
2501.04066 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:40:43.227597Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:32:55.223605Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact4
verified fuzzy38
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7902a5e3-cc3e-4e48-a0a1-0fe2d30d6594 · outbound

This paper cites Reducing dfm to practice: the lithography manufacturability assessor.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Reducing dfm to practice: the lithography manufacturability assessor

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.946457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21d9839e-0829-4418-ade6-348c00855ef6 · outbound

This paper cites Cramming more components onto integrated circuits.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Cramming more components onto integrated circuits

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.939241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c8ba0f5-9bc0-4014-8a7b-507380ec0087 · outbound

This paper cites Lithography hotspot de- tection based on heterogeneous federated learning with local adaptation and feature selection.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot de- tection based on heterogeneous federated learning with local adaptation and feature selection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.977018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04dbaaf0-5d55-46cb-9572-af75619718cd · outbound

This paper cites an unresolved cited work.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-23T05:42:36.996406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f43279d0-b933-4e4f-b52b-266db8407fd0 · outbound

This paper cites Hotspot prediction: Sem image generation with potential lithography hotspots.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Hotspot prediction: Sem image generation with potential lithography hotspots

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.005913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae795c40-0f2c-4a47-b7fc-bd7493cbaebc · outbound

This paper cites Hotspot detection on post-opc layout using full chip simulation based verification tool: A case study with aerial image simulation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Hotspot detection on post-opc layout using full chip simulation based verification tool: A case study with aerial image simulation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.970075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15cb6477-9e4b-436a-a8c5-72b55b32f324 · outbound

This paper cites Automated full-chip hotspot detection and removal flow for interconnect layers of cell-based designs.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Automated full-chip hotspot detection and removal flow for interconnect layers of cell-based designs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.962794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 26a6b16e-59f9-4a28-a443-faf9e7d730b2 · outbound

This paper cites Accurate process-hotspot detection using critical design rule extraction.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Accurate process-hotspot detection using critical design rule extraction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.966530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04d5b2d0-d811-4e0a-9160-8062a96f86a6 · outbound

This paper cites A fuzzy-matching model with grid reduction for lithography hotspot detection.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection A fuzzy-matching model with grid reduction for lithography hotspot detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.924452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d341e771-f2a1-4d84-be70-bfbaa693885c · outbound

This paper cites Improved tangent space-based distance metric for lithographic hotspot classification.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Improved tangent space-based distance metric for lithographic hotspot classification

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.942979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f72313e-c6bf-40d1-9948-2072aa083750 · outbound

This paper cites Grasp based metaheuristics for layout pattern classification.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Grasp based metaheuristics for layout pattern classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.009016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a82e69ff-9ce9-4968-a095-9907bbdc6ab6 · outbound

This paper cites Accurate lithography hotspot detection using deep convolutional neural networks.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Accurate lithography hotspot detection using deep convolutional neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.934960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 660d55cb-6913-4fab-953b-46b029123656 · outbound

This paper cites Imbalance aware lithography hotspot detection: a deep learning approach.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Imbalance aware lithography hotspot detection: a deep learning approach

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.949921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb27b1cc-b01e-4f29-9747-5f74ea2ed1f9 · outbound

This paper cites Lithography hotspot detection: From shallow to deep learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot detection: From shallow to deep learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.955350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 11a6cf33-8a0c-4f1c-895f-9fc80548baf0 · outbound

This paper cites Lithography hotspot detection via heterogeneous federated learning with local adaptation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot detection via heterogeneous federated learning with local adaptation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.894633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31d94644-332d-470a-8407-3ce881aa8b37 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Communication-efficient learning of deep networks from decentralized data

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.917681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5f34381-e954-4059-98fa-cbb087b1ce82 · outbound

This paper cites Federated multi-task learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated multi-task learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.891243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c3d6f5d2-ddad-4020-b21a-c02b91f0f7bc · outbound

This paper cites Federated Learning with Personalization Layers.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated Learning with Personalization Layers

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:42:36.318236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a37434d-c1a8-4b95-9de3-5fe96e3b9000 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection FedMD: Heterogenous Federated Learning via Model Distillation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:42:36.313437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2d0263f-170f-4c42-8575-6367c36aee09 · outbound

This paper cites Federated optimization in heterogeneous networks.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated optimization in heterogeneous networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.898046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 12f14a34-0c64-446f-852d-db6c0c41faf2 · outbound

This paper cites Knowledge distillation: A survey.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Knowledge distillation: A survey

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.910613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a5d762a-e72b-4e46-9d24-c5a4ad7b4faa · outbound

This paper cites Hierarchical self-supervised augmented knowledge distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Hierarchical self-supervised augmented knowledge distillation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.887972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6017342d-e062-446f-9a53-48fc45352332 · outbound

This paper cites Cross- image relational knowledge distillation for semantic segmentation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Cross- image relational knowledge distillation for semantic segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.907616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 23831161-2c95-4976-92b5-d233e6ecc00e · outbound

This paper cites Mixskd: Self-knowledge distillation from mixup for image recogni- tion.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Mixskd: Self-knowledge distillation from mixup for image recogni- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.884782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 290be620-a95e-456a-90f7-7e2973580184 · outbound

This paper cites Federated Distillation: A Survey.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated Distillation: A Survey

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:42:36.302157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bab1052c-8737-4219-a72b-5f0a8c7f1bca · outbound

This paper cites Clip-kd: An empirical study of clip model distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Clip-kd: An empirical study of clip model distillation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.921041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6e8db02-91e8-464c-aae7-3b9aa2ade0e1 · outbound

This paper cites Iccad-2012 cad contest in fuzzy pattern matching for physical verification and benchmark suite.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Iccad-2012 cad contest in fuzzy pattern matching for physical verification and benchmark suite

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.901158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f55ebe93-21d9-4a43-8124-237a35e077f7 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Ensemble distillation for robust model fusion in federated learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.931368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd9bca7b-b694-418b-b32b-0142a0ea97f4 · outbound

This paper cites Knowledge Distillation for Federated Learning: a Practical Guide.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Knowledge Distillation for Federated Learning: a Practical Guide

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:42:36.307820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 97aee23a-0842-4336-bff1-0bd879bd9ebe · outbound

This paper cites Data-free knowledge distillation for het- erogeneous federated learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Data-free knowledge distillation for het- erogeneous federated learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.973271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48087283-ca54-4dda-8c66-628ef85be97b · outbound

This paper cites Communication-efficient federated learning via knowledge distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Communication-efficient federated learning via knowledge distillation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.983448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f441042a-ec44-44b3-8673-1e22383a7ccf · outbound

This paper cites When federated learning meets knowledge distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection When federated learning meets knowledge distillation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.989338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6c96d40-bd57-4382-9aec-1ae019d31974 · outbound

This paper cites Survey of personalization techniques for federated learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Survey of personalization techniques for federated learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.993050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b8d0835-e83c-47e3-867d-6b1d17f072cf · outbound

This paper cites Lithography hotspots detection using deep learning.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspots detection using deep learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.002649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc949e2c-9bd2-4416-a6f3-c67300f7c9c9 · outbound

This paper cites Lithography hotspot detection based on residual network.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot detection based on residual network

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.980263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e6046bd-6ddb-48de-a77a-1cb1e62af337 · outbound

This paper cites Data augmentation in hotspot detection based on generative adversarial network.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Data augmentation in hotspot detection based on generative adversarial network

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.999897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 316027ac-4813-4107-86f3-d8be9485b8fb · outbound

This paper cites Lithography hotspot detection via heterogeneous federated learning with local adaptation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot detection via heterogeneous federated learning with local adaptation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.016446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b7b556e-b383-44dc-911f-176ae50e6c98 · outbound

This paper cites Lithography hotspot de- tection based on heterogeneous federated learning with local adaptation and feature selection.

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.021392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51d7814e-ac77-42a9-9f95-e464d9275681 · outbound

This paper cites Lithography hotspot detection method based on transfer learning using pre-trained deep convolutional neural network.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Lithography hotspot detection method based on transfer learning using pre-trained deep convolutional neural network

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:37.012802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db8af594-abb2-4254-b320-9dc5d4cb7f63 · outbound

This paper cites Toward heterogeneous federated learning via global knowledge distillation.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Toward heterogeneous federated learning via global knowledge distillation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.927869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccf54397-72a4-4f5f-bc13-9cdaa302e14d · outbound

This paper cites Adam: A method for stochastic optimization.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Adam: A method for stochastic optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.904519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b62c7bcd-53d8-4943-9639-72028640422a · outbound

This paper cites Federated learning with partial model personalization.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Federated learning with partial model personalization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.959014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc1be720-3997-41cd-a199-238c42366ae5 · outbound

This paper cites Online knowledge distillation via mutual contrastive learning for visual recogni- tion.

Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection Online knowledge distillation via mutual contrastive learning for visual recogni- tion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T05:42:36.914501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation d9bc6923-ad2e-4ee4-aeca-6f70f87f9d1a · inbound

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation cites this paper.

Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T13:32:55.223605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.