Paper Citation Record · LEDGER

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2509.07396.

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

pith.paper-citation-record.v1
2509.07396 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:11:01.105767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:21:09.583418Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fc63ed9-ca47-4fdb-af2f-acc1d43200eb · outbound

This paper cites Tackling AI’s Climate Change Problem,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Tackling AI’s Climate Change Problem,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:11.977050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ffbdbae-df5c-42f4-88aa-ad502f9231a1 · outbound

This paper cites The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:11.780454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 311110fc-0e31-4ebb-afd0-926873166786 · outbound

This paper cites ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:11.523848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45c0e8c4-98e4-4cd8-b0bc-73c9bbc4f320 · outbound

This paper cites DTCO including sustainability: Power-performance-area-cost-environmental score (PPACE) analysis for logic technologies,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness DTCO including sustainability: Power-performance-area-cost-environmental score (PPACE) analysis for logic technologies,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:11.276239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1687f82e-5fc3-4b51-b694-57d6fa84dc86 · outbound

This paper cites ACT: Designing sustainable computer systems with an architectural carbon modeling tool,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness ACT: Designing sustainable computer systems with an architectural carbon modeling tool,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:11.015498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a2ca76e-cfc8-4b6b-a50b-4a63f935b912 · outbound

This paper cites Deep learning with coherent nanophotonic circuits,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Deep learning with coherent nanophotonic circuits,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:10.829228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8eade95b-1bdf-4fd7-a763-35d9ea20fffc · outbound

This paper cites Inference in artificial intelligence with deep optics and photonics,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Inference in artificial intelligence with deep optics and photonics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:10.646326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4325667-c1ca-486f-b050-6ac223a18739 · outbound

This paper cites Photonics for Artificial Intelligence and Neuromorphic Computing,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Photonics for Artificial Intelligence and Neuromorphic Computing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:10.168696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae9981ca-85be-4dc1-bf1b-d036368ebd06 · outbound

This paper cites 11 TOPS photonic convolutional accelerator for optical neural networks,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness 11 TOPS photonic convolutional accelerator for optical neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:09.830722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f07b882-532d-4645-b9e4-8349da90326c · outbound

This paper cites Parallel convolutional processing using an integrated photonic tensor core,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Parallel convolutional processing using an integrated photonic tensor core,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:09.570788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 388fda3d-5704-4809-8c8c-cd1d41b59465 · outbound

This paper cites Hardware-efficient photonic tensor core: acceler- ating deep neural networks with structured compression,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Hardware-efficient photonic tensor core: acceler- ating deep neural networks with structured compression,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:09.345944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43d28b25-45f4-40d1-ad2a-21323ca21ba6 · outbound

This paper cites Photonic-electronic integrated circuits for high-performance computing and ai accelerators,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Photonic-electronic integrated circuits for high-performance computing and ai accelerators,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:09.155215Z

Source-reported events for the cited work

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Observation c36dc182-0c0c-47e2-9f86-cbded651ef15 · outbound

This paper cites Analog optical computer for ai inference and combinatorial optimization,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Analog optical computer for ai inference and combinatorial optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:08.979324Z

Source-reported events for the cited work

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Observation 45ce544a-c251-4997-9064-9c3b9abfe0f9 · outbound

This paper cites An integrated large-scale photonic accelerator with ultralow latency,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness An integrated large-scale photonic accelerator with ultralow latency,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:08.752129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9d7e85e-bf78-4a5c-b582-8e222b86757b · outbound

This paper cites Universal photonic artificial intelligence acceleration,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Universal photonic artificial intelligence acceleration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:08.572272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fee8b54-0805-46a9-9005-d92ed78fc734 · outbound

This paper cites TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

Reference 16

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Source-reported events for the cited work

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Observation 3272e4cc-285a-4d28-b2e5-fa1b35b248cb · outbound

This paper cites Chapter 18 - optical interconnection networks for high-performance systems,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Chapter 18 - optical interconnection networks for high-performance systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:08.394689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f4aea0b-e35f-42bf-a9f5-0025cc23e655 · outbound

This paper cites Photonics for Sustainable Computing.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Photonics for Sustainable Computing

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-04T22:22:07.001998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53b62871-a09d-455f-aae9-dbeb9d222b09 · outbound

This paper cites SCATTER: Algorithm-Circuit Co-Sparse Pho- tonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness SCATTER: Algorithm-Circuit Co-Sparse Pho- tonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:08.174662Z

Source-reported events for the cited work

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Observation a8c283e1-2eeb-49e2-bf69-0b185f606638 · outbound

This paper cites Lightening-transformer: A dynamically-operated photonic tensor core for energy-efficient transformer accelerator,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Lightening-transformer: A dynamically-operated photonic tensor core for energy-efficient transformer accelerator,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.859472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f29a9c74-7386-43d1-b0a4-68c8a8117d8c · outbound

This paper cites TeMPO: Efficient Time-Multiplexed Dy- namic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness TeMPO: Efficient Time-Multiplexed Dy- namic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.638683Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46c20d9a-9d2d-4b81-8b09-be755fdfdd49 · outbound

This paper cites CHORD: Composable Hybrid Optical Re- configurable Diffractive Framework For Optical Neural Network,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness CHORD: Composable Hybrid Optical Re- configurable Diffractive Framework For Optical Neural Network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.447223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e03fd5d-b13c-4028-97c7-4e7b021df3d2 · outbound

This paper cites Fourier-space diffractive deep neural network,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Fourier-space diffractive deep neural network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.414150Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2fad8b15-8504-411e-8426-4ac16a8331b9 · outbound

This paper cites Spatially varying nanophotonic neural networks,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Spatially varying nanophotonic neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.377222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f76e582e-fb0c-4152-b994-5580e26849cb · outbound

This paper cites Dynamically reconfigurable all-optical neural network based on a hybrid graphene metasurface array,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Dynamically reconfigurable all-optical neural network based on a hybrid graphene metasurface array,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.342397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75f21946-443f-40cc-bb52-0de4a533d4f1 · outbound

This paper cites Diffractive deep neural networks at visible wavelengths,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Diffractive deep neural networks at visible wavelengths,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.317321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e03f335a-1256-46c2-a3e7-e341764fc0e5 · outbound

This paper cites All-optical machine learning using diffractive deep neural networks,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness All-optical machine learning using diffractive deep neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.296406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b56f2b72-b3f1-4b24-a442-ff66c365b8d7 · outbound

This paper cites Optical Transformers.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Optical Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T22:22:06.830276Z

Source-reported events for the cited work

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Observation a5da3bd3-0dc7-47db-8fbf-4ea45e819662 · outbound

This paper cites Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.279196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d4f16fd-abd1-4667-92b4-725307ba183c · outbound

This paper cites Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.262337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a27dfbc5-7bfd-4d11-b1e3-ee5e8c030859 · outbound

This paper cites A 28nm physics computing unit supporting emerging physics-informed neural network and finite element method for real-time scientific computing on edge devices,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness A 28nm physics computing unit supporting emerging physics-informed neural network and finite element method for real-time scientific computing on edge devices,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.245082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4141005-24e5-44c3-9bda-127caaac36e4 · outbound

This paper cites Trancim: Full-digital bitline-transpose cim- based sparse transformer accelerator with pipeline/parallel reconfigurable modes,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Trancim: Full-digital bitline-transpose cim- based sparse transformer accelerator with pipeline/parallel reconfigurable modes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.227100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee169a7b-c8fa-46ce-bd95-e58c30bbb91a · outbound

This paper cites Nvidia h100 tensor core gpu ar- chitecture,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Nvidia h100 tensor core gpu ar- chitecture,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.210306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c65f8184-259f-4e3a-8131-89cd02d0b5d0 · outbound

This paper cites Nvidia h100 pcie gpu — product brief,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Nvidia h100 pcie gpu — product brief,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.192758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 37bfe6bc-7fb6-47ba-88e2-e34467212aca · outbound

This paper cites CHORD: Composable Hybrid Optical Re- configurable Diffractive Framework For Optical Neural Network,.

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.175734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07c9cb40-5bd6-4dd2-acaa-ad716e9d355a · outbound

This paper cites L2ight: Enabling On-Chip Learning for Opti- cal Neural Networks via Efficient in-situ Subspace Optimization,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness L2ight: Enabling On-Chip Learning for Opti- cal Neural Networks via Efficient in-situ Subspace Optimization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.158142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 397e3530-a71b-4c40-b9bd-551cd6049a70 · outbound

This paper cites Doctor: Dynamic on-chip temporal variation remediation toward self-corrected photonic tensor accelerators,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Doctor: Dynamic on-chip temporal variation remediation toward self-corrected photonic tensor accelerators,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.141510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18a7f9f8-150c-4898-bc2a-07eef1d7a273 · outbound

This paper cites ELight: Towards Efficient and Aging-Resilient Photonic In-Memory Neurocomputing,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness ELight: Towards Efficient and Aging-Resilient Photonic In-Memory Neurocomputing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.123936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6451a16-2d85-4fa4-823d-878dea6710ad · outbound

This paper cites DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.105437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f4ccd60-5287-4c56-9180-5db8215a9cdb · outbound

This paper cites Apollo: Automated routing-informed placement for large-scale photonic integrated circuits,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Apollo: Automated routing-informed placement for large-scale photonic integrated circuits,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.088219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bced0ab5-618f-4a9a-8443-f5ef60c35308 · outbound

This paper cites LiDAR: Automated Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness LiDAR: Automated Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.071833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cd6ad63-1c22-43a7-8ac2-29d30052e881 · outbound

This paper cites LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits,

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-08-04T22:22:06.958062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c146c467-1d20-41b9-8fd5-06b2f7e0ef21 · outbound

This paper cites Beyond the surface: The necessity for detailed metrics in corporate sustainability reports,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Beyond the surface: The necessity for detailed metrics in corporate sustainability reports,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.056235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ba175ec-ad50-4702-9289-6ffe9d626119 · outbound

This paper cites Adept: Automatic differentiable design of photonic tensor cores,.

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness Adept: Automatic differentiable design of photonic tensor cores,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:22:07.038918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation d6dee5b9-0f69-43fb-8889-63642fcee773 · inbound

ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping cites this paper.

ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.587009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.