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Paper Citation Record · LEDGER

Spectral fluctuations and crossovers in multilayer network

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2508.12913.

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

pith.paper-citation-record.v1
2508.12913 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:19:38.059397Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3301b22d-0ad4-4cbd-9d30-dad7686d59f6 · outbound

This paper cites Tensorflow: a system for large-scale machine learning,.

Spectral fluctuations and crossovers in multilayer network Tensorflow: a system for large-scale machine learning,

Reference 1

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Source-reported events for the cited work

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Observation a7b133fb-be35-47b0-a983-b7e812feb88e · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Spectral fluctuations and crossovers in multilayer network Pytorch: An imperative style, high-performance deep learning library,

Reference 2

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Observation c195f29c-12c5-4f08-a8be-e3d60c6a915e · outbound

This paper cites A survey of recommendation systems: recommendation models, techniques, and application fields,.

Spectral fluctuations and crossovers in multilayer network A survey of recommendation systems: recommendation models, techniques, and application fields,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08bae879-1372-4980-ad81-16c54a784cc3 · outbound

This paper cites Tiirec: A tensor approach for tag-driven item recommendation with sparse user generated content,.

Spectral fluctuations and crossovers in multilayer network Tiirec: A tensor approach for tag-driven item recommendation with sparse user generated content,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

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Observation 18db8ebf-d57f-4f22-a47f-7c7c192a819e · outbound

This paper cites Hierarchical analysis of power distribution networks,.

Spectral fluctuations and crossovers in multilayer network Hierarchical analysis of power distribution networks,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 115c5ec6-0526-4fd7-ab58-079b4a4ead68 · outbound

This paper cites Feasta: A flexible and efficient accelerator for sparse tensor algebra in machine learning,.

Spectral fluctuations and crossovers in multilayer network Feasta: A flexible and efficient accelerator for sparse tensor algebra in machine learning,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6f451acb-d70c-45a1-a1e5-f0898021c130 · outbound

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

Spectral fluctuations and crossovers in multilayer network Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 963f2f1d-fce5-4866-b0a3-341ceae8d386 · outbound

This paper cites Cnvlutin: Ineffectual-neuron-free deep neural network computing,.

Spectral fluctuations and crossovers in multilayer network Cnvlutin: Ineffectual-neuron-free deep neural network computing,

Reference 8

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no resolver link, observed 2026-08-15T17:19:37.335934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8db6ac8b-c01d-4fb9-ab3e-9ef76523946b · outbound

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

Spectral fluctuations and crossovers in multilayer network Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,

Reference 9

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no resolver link, observed 2026-08-15T17:19:37.343454Z

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Unavailable: canonical work link unavailable.

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Observation e292e20c-90e9-4203-92c5-90647fc2e4cc · outbound

This paper cites Extensor: An accelerator for sparse tensor algebra,.

Spectral fluctuations and crossovers in multilayer network Extensor: An accelerator for sparse tensor algebra,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.648941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 917643a2-477f-479a-9af0-b198e699ca4e · outbound

This paper cites Matraptor: A sparse-sparse matrix multiplication accelerator based on row-wise product,.

Spectral fluctuations and crossovers in multilayer network Matraptor: A sparse-sparse matrix multiplication accelerator based on row-wise product,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b8012fe1-5437-475a-8e3a-a8717f9eed4d · outbound

This paper cites Gospa: An energy- efficient high-performance globally optimized sparse convolutional neu- ral network accelerator,.

Spectral fluctuations and crossovers in multilayer network Gospa: An energy- efficient high-performance globally optimized sparse convolutional neu- ral network accelerator,

Reference 12

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raw_fallback, observed 2026-08-15T17:19:39.578036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 43a92534-ef24-4f7e-bc92-98aa73c70641 · outbound

This paper cites Outerspace: An outer product based sparse matrix multiplication accelerator,.

Spectral fluctuations and crossovers in multilayer network Outerspace: An outer product based sparse matrix multiplication accelerator,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.544809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f235991f-1a8e-46cf-a3b5-6ec49f7e0e80 · outbound

This paper cites Scnn: An accelerator for compressed-sparse convolutional neural networks,.

Spectral fluctuations and crossovers in multilayer network Scnn: An accelerator for compressed-sparse convolutional neural networks,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d55fe6f2-1289-40d4-ae73-618c19087e68 · outbound

This paper cites Sigma: A sparse and irregular gemm ac- celerator with flexible interconnects for dnn training,.

Spectral fluctuations and crossovers in multilayer network Sigma: A sparse and irregular gemm ac- celerator with flexible interconnects for dnn training,

Reference 15

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no resolver link, observed 2026-08-15T17:19:37.402883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1bcaa119-6dd6-477e-9d0d-86cb6f24651c · outbound

This paper cites Sparten: A sparse tensor accelerator for convolutional neural networks,.

Spectral fluctuations and crossovers in multilayer network Sparten: A sparse tensor accelerator for convolutional neural networks,

Reference 16

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no resolver link, observed 2026-08-15T17:19:37.421796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1216d08-31ab-48fe-8b8d-e9de8b489896 · outbound

This paper cites Sparsity-aware and re-configurable npu architecture for samsung flagship mobile soc,.

Spectral fluctuations and crossovers in multilayer network Sparsity-aware and re-configurable npu architecture for samsung flagship mobile soc,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation f6e22e17-1f5a-4bc2-a667-eb0102e7d3a9 · outbound

This paper cites Sparseloop: An analytical, energy-focused design space exploration methodology for sparse tensor accelerators,.

Spectral fluctuations and crossovers in multilayer network Sparseloop: An analytical, energy-focused design space exploration methodology for sparse tensor accelerators,

Reference 18

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raw_fallback, observed 2026-08-15T17:19:39.391049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd5627b9-81dd-49a9-97c2-1d907b629de9 · outbound

This paper cites NVDLA Deep Learning Accelerator,.

Spectral fluctuations and crossovers in multilayer network NVDLA Deep Learning Accelerator,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.357916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2db94fb8-4af1-4476-9fd8-b671a24a067f · outbound

This paper cites Nvidia a100 tensor core gpu architecture,.

Spectral fluctuations and crossovers in multilayer network Nvidia a100 tensor core gpu architecture,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.329408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8852aaf-bbe2-421f-a351-4a68597f9e97 · outbound

This paper cites A low-power general matrix multiplication acceler- ator with sparse weight-and-output stationary dataflow,.

Spectral fluctuations and crossovers in multilayer network A low-power general matrix multiplication acceler- ator with sparse weight-and-output stationary dataflow,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.304441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6e953c4e-1f90-4d48-bba5-b373f82322e7 · outbound

This paper cites Sparch: Efficient architecture for sparse matrix multiplication,.

Spectral fluctuations and crossovers in multilayer network Sparch: Efficient architecture for sparse matrix multiplication,

Reference 22

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raw_fallback, observed 2026-08-15T17:19:39.272048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7934cd24-ad83-46f6-af02-8a7d5e2e5a18 · outbound

This paper cites Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,.

Spectral fluctuations and crossovers in multilayer network Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.247543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 04f5fe0b-e29a-41d8-900f-fb0d79af4627 · outbound

This paper cites Gamma: automating the hw mapping of dnn models on accelerators via genetic algorithm,.

Spectral fluctuations and crossovers in multilayer network Gamma: automating the hw mapping of dnn models on accelerators via genetic algorithm,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.211592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5acef8f2-d94e-42f2-b45f-1575b9449952 · outbound

This paper cites Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning,.

Spectral fluctuations and crossovers in multilayer network Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.174904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca78a0ff-91a6-435b-abd5-08cc3025e8c2 · outbound

This paper cites Towards an auto- tuning system design for optimal sparse compression format selection with user expertise,.

Spectral fluctuations and crossovers in multilayer network Towards an auto- tuning system design for optimal sparse compression format selection with user expertise,

Reference 26

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raw_fallback, observed 2026-08-15T17:19:39.142937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eee65595-089c-401f-ad2f-933df6657a96 · outbound

This paper cites Cdpu: Co-designing compression and decompression processing units for hyperscale sys- tems,.

Spectral fluctuations and crossovers in multilayer network Cdpu: Co-designing compression and decompression processing units for hyperscale sys- tems,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.104197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9adbb885-3d87-4fe9-ad93-16a70ebb74cf · outbound

This paper cites Extending sparse tensor accelerators to support multiple compression formats,.

Spectral fluctuations and crossovers in multilayer network Extending sparse tensor accelerators to support multiple compression formats,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.062945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 42429ed8-c297-4548-8efa-ccc1d8212edf · outbound

This paper cites Medea: A multi-objective evolutionary approach to dnn hardware mapping,.

Spectral fluctuations and crossovers in multilayer network Medea: A multi-objective evolutionary approach to dnn hardware mapping,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T17:19:39.017758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a1636e64-c4a4-4998-90ef-9990e576ecd9 · outbound

This paper cites Learning by playing solving sparse reward tasks from scratch,.

Spectral fluctuations and crossovers in multilayer network Learning by playing solving sparse reward tasks from scratch,

Reference 30

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raw_fallback, observed 2026-08-15T17:19:38.984627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e44ce8df-e4ff-4b13-ae50-ce7f5db73183 · outbound

This paper cites Dealing with Sparse Rewards in Reinforcement Learning.

Spectral fluctuations and crossovers in multilayer network Dealing with Sparse Rewards in Reinforcement Learning

Reference 31

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unresolved
no resolver link, observed 2026-08-15T17:19:37.815966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1b029c95-37b5-401c-a83e-b1dcb508ccaf · outbound

This paper cites Dual- side sparse tensor core,.

Spectral fluctuations and crossovers in multilayer network Dual- side sparse tensor core,

Reference 32

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unresolved
no resolver link, observed 2026-08-15T17:19:37.826079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:37.826079Z digest=sha256:fab1ae9d321248fb4f839bcb8cd075f9cc07c259c3f163ea5de652ae736dec4f

Observation 9a5e16d1-14fa-452a-a546-1f653dec4adf · outbound

This paper cites An overview of data compression techniques,.

Spectral fluctuations and crossovers in multilayer network An overview of data compression techniques,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.893869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5d14b0af-3808-4056-a69c-504f050cfc15 · outbound

This paper cites [Online].

Spectral fluctuations and crossovers in multilayer network [Online]

Reference 34

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raw_fallback, observed 2026-08-15T17:19:38.858830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.850126Z digest=sha256:7ada8ae354994c6bc5e62967e2c214c89ca7407cddd71da5dc8a743db51406d6

Observation cd268939-c14d-4216-a471-9e947dbff452 · outbound

This paper cites Integrated particle swarm optimization (i-pso): An adaptive design space exploration framework for power- performance tradeoff in architectural synthesis,.

Spectral fluctuations and crossovers in multilayer network Integrated particle swarm optimization (i-pso): An adaptive design space exploration framework for power- performance tradeoff in architectural synthesis,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.820833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 75512641-81b5-4729-a08b-6aa7bdd78711 · outbound

This paper cites Autonomous design of noise- mitigating structures using deep reinforcement learning,.

Spectral fluctuations and crossovers in multilayer network Autonomous design of noise- mitigating structures using deep reinforcement learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.785955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.875714Z digest=sha256:a9d389189a59f24110b7025f1941933f20864988febab4873e876c51ed938234

Observation 206bf1bc-afb2-4144-9787-8952ddc6e343 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii,.

Spectral fluctuations and crossovers in multilayer network A fast and elitist multiobjective genetic algorithm: Nsga-ii,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:37.890104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:37.890104Z digest=sha256:e618578d0c32ea9341f102dc1d63a5859687661615f2d09a6cf99c247824a543

Observation 8fb25c97-5659-4a00-a4f6-d6bc9dfe3be3 · outbound

This paper cites Automated docking using a lamarckian genetic algorithm and an empirical binding free energy function,.

Spectral fluctuations and crossovers in multilayer network Automated docking using a lamarckian genetic algorithm and an empirical binding free energy function,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.713756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.899162Z digest=sha256:9b5ceea1fa2debe2bb9b50f4ec3421f7efddf67cdf8a75289dfaaa049f92fa3b

Observation fa564f48-ffbd-4e80-b724-a8db986c9f29 · outbound

This paper cites Develop- ment and validation of a genetic algorithm for flexible docking,.

Spectral fluctuations and crossovers in multilayer network Develop- ment and validation of a genetic algorithm for flexible docking,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.665775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.921670Z digest=sha256:dda7bbd098412c1768846ac3d3cf066f7bccdb8e9064fdaac191c0382aa10fb1

Observation 1936b3ee-eb7c-4b2e-83f9-db2deb3c24bf · outbound

This paper cites Multiobjective optimization using nondominated sorting in genetic algorithms,.

Spectral fluctuations and crossovers in multilayer network Multiobjective optimization using nondominated sorting in genetic algorithms,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.625220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.935326Z digest=sha256:e6ff7d3fe2eab6451fefa37d629290037ba4be3043a8c517913228cb6f6089af

Observation 7491282e-a612-4f18-a1d9-de1a5b397927 · outbound

This paper cites Genetic algorithms in search, optimization and machine learning,.

Spectral fluctuations and crossovers in multilayer network Genetic algorithms in search, optimization and machine learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.591780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.944586Z digest=sha256:d18b16bee15359caaa4789dd704c9f8214877ec05c3b612091f7bb287a7f66ae

Observation 0b9f32d2-256a-4ac3-86c1-276280aefbbe · outbound

This paper cites Mitchell, An introduction to genetic algorithms.

Spectral fluctuations and crossovers in multilayer network Mitchell, An introduction to genetic algorithms

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:37.952789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:37.952789Z digest=sha256:ae589e661bd3510ad6b4672bc6bb2702a7edde2786c5aa6c7c3f78f2ca8012d3

Observation 5f907264-b08d-436e-ae1d-a4d1efa77cd1 · outbound

This paper cites Gene expression programming: A survey,.

Spectral fluctuations and crossovers in multilayer network Gene expression programming: A survey,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.525835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.959531Z digest=sha256:be80392e987904736fde0eed17a5e1dd816c76a33d5ecdf21111dd08d3dbf860

Observation 6f7d3f0b-0936-4044-98de-fc08df35ebae · outbound

This paper cites A review of population initial- ization techniques for evolutionary algorithms,.

Spectral fluctuations and crossovers in multilayer network A review of population initial- ization techniques for evolutionary algorithms,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:37.968190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:37.968190Z digest=sha256:e862c0b88c08d8f39f6d78105aa408edcaafe44b302a5a425e9986cdb32fd1eb

Observation 667bd2e2-1b99-4c96-a051-34be81174f0c · outbound

This paper cites Initialization strategies and diversity in evolutionary timetabling,.

Spectral fluctuations and crossovers in multilayer network Initialization strategies and diversity in evolutionary timetabling,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.444239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.978041Z digest=sha256:bd882b341dc7b0d6a025acd627474b652f406d6d5b376b13a44719f887844fd7

Observation 84bbce06-c421-4be8-b4c9-717355d1946f · outbound

This paper cites Natural evolutionary strategies for variational quantum computation,.

Spectral fluctuations and crossovers in multilayer network Natural evolutionary strategies for variational quantum computation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.409905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:37.991239Z digest=sha256:dc2765836a6138027d83ed368dd81edd563f18af97319773555cadf08c22ea00

Observation 0c6b692f-cbaf-472a-b8e0-0a44f6fc42d9 · outbound

This paper cites An advanced initialization technique for metaheuristic optimization: a fusion of latin hypercube sampling and evolutionary behaviors,.

Spectral fluctuations and crossovers in multilayer network An advanced initialization technique for metaheuristic optimization: a fusion of latin hypercube sampling and evolutionary behaviors,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.369550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:38.002097Z digest=sha256:1f05956b459ffd01dd761b75eec11e925e32cf76c5af4ffb7e946d9ce3ac09c4

Observation 39d42876-5b57-41ee-93b8-8057e446d85e · outbound

This paper cites Latin hypercube initialization strategy for design space exploration of deep neural network architectures,.

Spectral fluctuations and crossovers in multilayer network Latin hypercube initialization strategy for design space exploration of deep neural network architectures,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.333286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:38.010078Z digest=sha256:3e558fdd090aa5f56f73aef5c735c01bbfc077de85f9abccca8bcd5139ae435c

Observation bf99cff0-79d5-4f08-9a92-66107af3fc4e · outbound

This paper cites The initialization of evolutionary multi- objective optimization algorithms,.

Spectral fluctuations and crossovers in multilayer network The initialization of evolutionary multi- objective optimization algorithms,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.294038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:38.020974Z digest=sha256:b83695e0c483e4168b474bf8ab7e8a61364b5a36c059cae5000d4fbad075ed37

Observation da68bd34-2659-4959-baa2-0e7d0e175fb3 · outbound

This paper cites A multistrategy differential evolution algorithm combined with latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement,.

Spectral fluctuations and crossovers in multilayer network A multistrategy differential evolution algorithm combined with latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:19:38.246419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:19:38.029995Z digest=sha256:41fb6f30bbef99469fbf1260d23822c4b4a4f3e18f5874779c4a6c80c7aa5693

Observation 1ec7b2d9-2c3e-4526-8fc7-35a2fad0bed3 · outbound

This paper cites an unresolved cited work.

Spectral fluctuations and crossovers in multilayer network Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:38.038600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:38.038600Z digest=sha256:7f6d56c661911d85c9f27c497d7eae2e365997962578a6e11bc5d15a05a21636

Observation e1a21f8f-b948-4302-bbe6-eced416a5d9d · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Spectral fluctuations and crossovers in multilayer network In-datacenter performance analysis of a tensor processing unit,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:38.050071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:38.050071Z digest=sha256:365375ca3b4dce1ef1900410ed10fee29895289cdad2bcad72646ecdc0bf4d3a

Observation 17fb0ba1-d11f-4eab-b96b-a97b1047e2be · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

Spectral fluctuations and crossovers in multilayer network Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T17:19:38.059397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:19:38.059397Z digest=sha256:de943c0453834ed8ffc6b820afcce73181d915a1b17ca8983bbbce6e7092ed18

Pith citing papers

No inbound Pith citation observations are available.