Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:56.210834Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 100 of 178 outbound references and 1 inbound Pith citation observation for arXiv:2505.16362.
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 2026-08-07T15:06:56.210834Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:08.704463Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:29:13.947038Z
100 of 178 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 01998a4c-1627-4c20-80d5-3d006a03515d · outbound
Reference 1
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Observation a8330b36-dbe3-45cb-b585-f94be29fca43 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Leiserson, et al., There is a plenty of room at the top: What will drive computer performance after moore’s law?, Science 368 (6495) (2020)
Reference 2
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Observation ccc0c49c-ab37-452d-9e27-c8a8623c666c · outbound
Reference 3
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Observation 61e490a0-58e3-4c77-b3ec-dfd41eaafa10 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 4
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Observation 6ac8d22d-138c-4c0c-9781-514fd0711fc9 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms de Vries, The growing energy footprint of artificial intelligence, Joule 7 (10) (2023) 2191–2194
Reference 5
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Observation 1d9429ad-1aff-4675-a4b4-d91b9f0e58b1 · outbound
Reference 6
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Observation 897128fe-9fbd-401e-95d8-73fea2a91f8a · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mead, Neuromorphic electronic systems, Proceedings of the IEEE 78 (10) (1990) 1629–1636
Reference 7
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Observation 19992be9-0249-4a48-8bb1-244ba9b26a97 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Mead, How we created neuromorphic engineering, Nat Electron 3 (2020) 434–435
Reference 8
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Observation 87e11789-4bcc-41d9-822a-ffd1e4d0bfcf · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Neuromorphic Computing is Turing-Complete
Reference 9
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Observation 7789ae16-8ca4-4617-b16b-b126aa8cb202 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 10
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Observation cad5a81b-f5c9-4c46-b81f-187fac86551d · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Aimone, et al., A review of non-cognitive applications for neuromorphic computing, Neuromorphic Computing and Engineering 2 (3) (2022) 032003
Reference 11
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Observation f61dbc40-3b4c-4733-b938-bcf2fdc14f50 · outbound
Reference 12
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Observation 116f13d7-d634-424d-aa5b-17841bde87cc · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, Networks of spiking neurons: the third generation of neural network models, Neural networks 10 (9) (1997) 1659–1671
Reference 13
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Observation 0f8ff4cf-4acb-472a-92aa-5e92dbc4a3ee · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms A Survey of Neuromorphic Computing and Neural Networks in Hardware
Reference 14
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Observation d8b712d3-c533-4e9e-b231-a17f1ab0e29a · outbound
Reference 15
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Observation a1e96a3b-6733-4a82-9973-7a2389492524 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Herculano-Houzel, Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution, PloS one 6 (3) (2011) e17514
Reference 16
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Observation 4160deb4-073a-4df0-ae20-3dee0c833fbb · outbound
Reference 17
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Observation 62dd0859-fe1b-4184-ae36-d0b65a18dc1c · outbound
Reference 18
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Observation 1ad0343d-0268-443c-b783-c34bf34072da · outbound
Reference 19
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Observation fed7d3f8-aa11-4d02-b5fc-901e2c372beb · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Talbi, Metaheuristics: from design to implementation, Wiley, 2009
Reference 20
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Observation fdf33d10-b035-4ca3-9efd-7fbd4a73b31d · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 21
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Observation fe962cff-a92e-4088-9bba-bc112d04a239 · outbound
Reference 22
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Observation 1ddab655-76e5-4c56-87a7-fc000f3bebfe · outbound
Reference 23
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Observation b0d5a894-c44e-488e-ac9b-360abe632b5b · outbound
Reference 24
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Observation a449c772-8069-4b3b-af4d-6dd6e36d4cab · outbound
Reference 25
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Observation 11fd4fd6-d1e4-44c1-837b-d2606c327c44 · outbound
Reference 26
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Observation 8e0680b7-1a83-4ae3-ab07-4e3d72df568f · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Lucas, Ising formulations of many np problems, Frontiers in Physics (2014) 5–21
Reference 27
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Observation 587e59d4-b5c5-4624-a410-164557fc458c · outbound
Reference 28
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Observation 7bca3a65-2bf7-4513-95af-91cc1d82a1a1 · outbound
Reference 29
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Observation 41e0b1eb-c18a-40d9-8133-f7313f9eb424 · outbound
Reference 30
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Observation 61c548e0-167c-4251-b606-6cfc2b39009f · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 31
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Observation c07919b9-05c1-4ca9-97ca-86a289084c27 · outbound
Reference 32
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Observation 06a84c74-1e92-4bca-8ce3-6572843d472a · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Abbott, Lapicque’s introduction of the integrate-and-fire model neuron, Brain research bulletin 50 (5-6) (1999) 303–304
Reference 33
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Observation 5be6e7fc-fecd-4b4e-937e-c2c7baf90424 · outbound
Reference 34
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Observation 54f1333d-099a-4592-b266-01bd6ff410cd · outbound
Reference 35
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Observation 7cc08936-e363-4340-8855-81f08a57714b · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Burkitt, A review of the integrate-and-fire neuron model: I
Reference 36
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Observation c863eab3-0ba9-47ed-bcb5-9bb9362a325b · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Lecar, Morris-lecar model, Scholarpedia 2 (10) (2007) 1333
Reference 37
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Observation 8fba77e6-b178-411c-b011-ea8da056d70b · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 38
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Observation e813c7e2-d834-4bf7-a757-274523ef1ab3 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 39
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Observation 972d733e-101e-4305-83b0-5250f80e9da0 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 40
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Observation f80c03ab-a7e5-4d47-8adb-49423457b6c8 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Zenke, et al., Visualizing a joint future of neuroscience and neuromorphic engineering, Neuron 109 (4) (2021) 571–575
Reference 41
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Observation a8fbf304-09ba-4423-bd93-da9cb7ce134d · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 42
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Observation 7ebc2ea6-0279-4fcc-b6c3-b8b527219862 · outbound
Reference 43
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Observation 794713cb-fb8c-40e0-9619-fcc8987ce1d9 · outbound
Reference 44
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Observation 07576d34-cd9f-4bc1-bebc-0adb98112580 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 45
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Observation 0dc3c6f1-f6e6-47ac-bb56-d32382cb4ea8 · outbound
Reference 46
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Observation 2b46e4c0-f328-4cd8-a21d-1c878e1b0ebe · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Rueckauer, S.-C
Reference 47
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Observation 35c3ada9-7dc6-4341-b906-1be8e54a5741 · outbound
Reference 48
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Observation 6ca626b2-34fe-48a6-8576-cb664bea871d · outbound
Reference 49
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Observation d9e2b01b-02e1-46c8-8ea6-4022de3707b9 · outbound
Reference 50
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Observation 45eb4c26-dfaf-436e-ad96-6cce9279492e · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Kiselev, Rate coding vs
Reference 51
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Observation 68c320f4-fe35-4d86-afef-da7ac577c763 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 52
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Observation 7e31490e-fc45-46bc-b826-b069f17fd141 · outbound
Reference 53
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Observation a220d2d2-91eb-4f2d-9087-ce470fc682a6 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Heeger, et al., Poisson model of spike generation, Handout, University of Standford 5 (1-13) (2000) 76
Reference 54
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Observation 83189836-f02e-481c-95c2-6b0e9bccb424 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 55
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Observation e254f5ea-9ae0-4c28-a77c-3a4c78cc6009 · outbound
Reference 56
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Observation c2b4226b-974c-4476-a61c-2f87bacd7979 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Singer, Neuronal synchrony: a versatile code for the definition of relations?, Neuron 24 (1) (1999) 49–65
Reference 57
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Observation aff92192-c5a2-46da-bfda-87725286186c · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 58
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Observation c736bd44-10a8-489f-aea8-71b42dca3d8d · outbound
Reference 59
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Observation d6289a65-668a-46e9-be94-2356e91928bc · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 60
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Observation ac9a1309-4c30-4d6c-84d9-4558b863c6e8 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 61
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Observation 5cd20cc9-8ae1-4f3d-b86e-dda588b3ec23 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 62
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Observation f8d826d5-a74a-445b-9bb0-4c1627f2b876 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 63
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Observation 335e2321-776e-4184-9eea-ce5e1a6190d9 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, On the computational power of winner-take-all, Neural computation 12 (11) (2000) 2519–2535
Reference 64
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Observation 2c353ecb-c670-4d8a-b0c9-787d01856063 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms DeBole, et al., Truenorth: Accelerating from zero to 64 million neurons in 10 years, Computer 52 (5) (2019) 20–29
Reference 70
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Observation dfa4e331-425f-437f-86c5-741571d6de1c · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 74
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Observation 34149773-19eb-4b25-b303-787a30605655 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 81
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Observation 0c87c946-e06e-4670-b22b-ea804f21c5b6 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
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Observation 18ad5a1c-9708-4cd9-9c41-ba7f5077f953 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 88
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Observation 8d4c656c-4407-4c10-a4bc-791aa5a99518 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 89
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Observation b367c4ef-89ff-4e06-81f4-78fd8536b9b6 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Al-Shedivat, R
Reference 91
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Observation f2b63f56-fef8-46e3-9da3-8763b69a4170 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Maass, To spike or not to spike: that is the question, Proceedings of the IEEE 103 (12) (2015) 2219–2224
Reference 92
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Observation e7c149e2-37ae-4c66-8ad8-f3bc8895d5aa · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 94
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Observation 753af0a5-5e39-466c-84f7-da047c7d616c · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 95
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Observation 174f856c-e25e-49a2-85d6-5a8498dc48c4 · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review
Reference 96
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Observation 79ce7111-05d2-4e4a-b3ba-bce4aa6c3e7f · outbound
Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms Unresolved cited work
Reference 99
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Observation 197c1ece-7d75-436e-a95e-621eb4994c6f · inbound
NeurOptimisation: The Spiking Way to Evolve Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
Reference 7
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