Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:32.938564Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2510.02545.
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 2026-08-04T12:43:32.938564Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:18:45.244693Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T06:16:15.181768Z
80 of 80 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7a53bed4-b1e4-4bf7-853b-788a13963f03 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 1
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Unavailable: canonical work link unavailable.
Observation d7620984-591b-48fa-bd13-8062cb41f6e8 · outbound
Mean-field analysis of a neural network with stochastic STDP Hence, asNtends to infinity, the limit of the term 1 depends on the Fr´ echet derivative of Ψ
Reference 2
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Observation 7f72d65f-8cbe-44e5-b297-29d4c79c611d · outbound
Mean-field analysis of a neural network with stochastic STDP Z T 0 ⟨µN u ,Ψ⟩du # →N∞ E
Reference 3
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Observation 23b8b695-26b4-462b-8d04-3711a8c565e7 · outbound
Mean-field analysis of a neural network with stochastic STDP We describe the generator only on the set of cylindrical functions Φ∈C b(P(E)) that is there exists Ψ∈C 1,1 b (E) such that ∀µ∈ P(E),Φ(µ) =⟨µ,Ψ⟩
Reference 4
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Observation 43c711bd-7a75-4dc2-97d5-2d17e876437c · outbound
Mean-field analysis of a neural network with stochastic STDP We now give some details on this limit system
Reference 5
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Observation 066d1254-a88f-4456-9405-ee6d39567a5b · outbound
Mean-field analysis of a neural network with stochastic STDP This term is more difficult to deal with because the spiking rates (1 {V i,N t =0}α(I i,N t ))1≤i≤N depend on the actual state of the neural networkX N t
Reference 6
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Observation 8211e68e-f4ca-4bc1-89ce-908960edc58b · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 7
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Observation 18acab8f-4e12-4c56-818c-f9631ed99d07 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 8
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Observation 6a332245-8d36-4cf6-91e1-3bd374cd7357 · outbound
Mean-field analysis of a neural network with stochastic STDP •dS i,∗ t =dt
Reference 9
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Observation e620e7aa-bc1c-4ff8-ac7a-c3393b4e8c9b · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 10
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Observation b1a3b0c8-aa94-48fb-8892-d4ad2c830876 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 11
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Observation 33bc04aa-fcaa-4c17-9452-1ef850df3211 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 12
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Observation 0563016f-78b8-4cfb-8917-c532e33575e7 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 13
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Observation d979a4cb-1d81-4d60-9678-45f827124c5b · outbound
Mean-field analysis of a neural network with stochastic STDP We illustrate in Fig
Reference 14
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Observation 8bd1a698-1360-4a97-b307-b91333b832c2 · outbound
Mean-field analysis of a neural network with stochastic STDP We draw the jumping timesτ i,N t of the neurons from exponential distributions with parameter α(I i,N t )δ{V i,N t =0} +βδ {V i,N t =1}
Reference 15
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Observation 541f5bc1-101b-4053-85fc-d00018800d14 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 16
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Observation d7d3ad75-ef20-4d9a-9152-e75054adf5e8 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 17
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Observation 7feebd18-3c02-435b-8869-9cb61f68e3ef · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 18
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Observation deefa191-3eaa-4a0d-b38a-ad26c09e9fd2 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 19
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Observation 80d8618f-746e-4278-a482-7aa2f980dcc5 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 20
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Observation 1e5ec840-e912-485c-82fc-e7475632678e · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 21
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Observation 08a39580-48f7-42c1-b991-41e38b5e345e · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 22
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Observation 74873377-f6d1-4bc3-b8ab-4ab62ff880a2 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 23
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Observation 7cb60714-0d57-4d5d-8833-7c8c08b4ea2d · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 24
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Observation 41ad86b3-f346-45f4-b9db-9e5387934811 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 25
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Observation 802aa998-e41d-48b9-a3f0-a5b09dffc2da · outbound
Mean-field analysis of a neural network with stochastic STDP Mongillo, S
Reference 26
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Observation 40172151-2df4-4e6d-8444-2c7bea2757d7 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 27
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Observation 3abb625a-4d9c-45ea-852d-0f022b60c2cd · outbound
Mean-field analysis of a neural network with stochastic STDP Brzosko, S
Reference 28
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Observation 8205a974-b7bb-4be8-9e5e-30a7d7f9fa42 · outbound
Mean-field analysis of a neural network with stochastic STDP Kempter, W
Reference 29
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Observation edfe4d43-487a-43e5-a10e-25eac868f6bb · outbound
Mean-field analysis of a neural network with stochastic STDP Bi and M.-m
Reference 30
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Observation efc1ceeb-676f-4b9d-8d56-2f5dd7afdd24 · outbound
Mean-field analysis of a neural network with stochastic STDP Robert and G
Reference 31
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Unavailable: canonical work link unavailable.
Observation 248d27d7-7197-4579-8e15-7adb87e6904d · outbound
Mean-field analysis of a neural network with stochastic STDP Robert and G
Reference 32
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Unavailable: canonical work link unavailable.
Observation 1ee3f6c3-186e-4994-9e15-8786c1ed0d72 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 33
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Observation 46005540-f970-4cf6-b953-9e9ced25750b · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 34
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Observation 6167d60e-c4db-4452-a162-3388879420f9 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 35
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Observation 65f5e34a-38a7-4510-89bf-b2da8cf1ea24 · outbound
Mean-field analysis of a neural network with stochastic STDP A new stochastic STDP Rule in a neural Network Model
Reference 36
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Unavailable: canonical work link unavailable.
Observation 517bcb3c-dcff-4378-908a-485fd9645b2c · outbound
Mean-field analysis of a neural network with stochastic STDP Helson,Plasticity in networks of spiking neurons in interaction, Ph.D
Reference 37
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Observation 643b9252-f1aa-4188-aadf-94e32ea43a42 · outbound
Mean-field analysis of a neural network with stochastic STDP Galtier and G
Reference 38
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Observation 77073bce-747a-46fd-b39e-e87c626c50a0 · outbound
Mean-field analysis of a neural network with stochastic STDP Perthame, D
Reference 39
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Observation 67f17b6d-6595-466e-9e63-f18c8d24a632 · outbound
Mean-field analysis of a neural network with stochastic STDP Kasai, N
Reference 40
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Observation 6b81e583-2f81-47ee-9b8d-d9c5c5751c91 · outbound
Mean-field analysis of a neural network with stochastic STDP Choquet and A
Reference 41
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Observation 9bec487e-5089-4479-af42-4ba9cd3ff11f · outbound
Mean-field analysis of a neural network with stochastic STDP Vasin, N
Reference 42
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Observation f20e401e-edb5-46b6-9e8e-1d5ef8e3d2be · outbound
Mean-field analysis of a neural network with stochastic STDP Aso and G
Reference 43
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Observation 42b84da6-ae70-458b-b3a7-15bf9e32c73c · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 44
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Observation 5f8230ba-c868-4ad4-bec3-97c735d3a71b · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 956ad493-7e12-4eab-9f97-9ab173c26be2 · outbound
Mean-field analysis of a neural network with stochastic STDP Zenke, W
Reference 46
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Observation f5ae4882-1458-46ab-b3d6-2e30277ebc31 · outbound
Mean-field analysis of a neural network with stochastic STDP Lansner, F
Reference 47
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Observation 997ec0a6-5200-4bde-a76b-32343fe438fe · outbound
Mean-field analysis of a neural network with stochastic STDP Masquelier, R
Reference 48
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Observation ddfa190e-3e4d-4c7d-a99f-6a33db9b45bc · outbound
Mean-field analysis of a neural network with stochastic STDP Masquelier, R
Reference 49
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Observation a02cb3cc-bc1d-49a2-b0c8-4f60617b3a58 · outbound
Mean-field analysis of a neural network with stochastic STDP Gilson, A
Reference 50
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Observation 22e008e3-08ee-4ec2-b284-aec4c22bf5c2 · outbound
Mean-field analysis of a neural network with stochastic STDP Gilson and T
Reference 51
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Observation 94d3b946-bdee-49f2-a4f6-a649f73effaf · outbound
Mean-field analysis of a neural network with stochastic STDP Pechersky, G
Reference 52
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Observation cede5d94-8566-4e30-8c3e-1f629a63c074 · outbound
Mean-field analysis of a neural network with stochastic STDP Montbri´ o, D
Reference 53
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Observation 9780d2e2-7465-4c12-afba-1165484d2bce · outbound
Mean-field analysis of a neural network with stochastic STDP De Masi, A
Reference 54
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Observation 8d4e5705-014c-447a-94d0-1473e98b6a11 · outbound
Mean-field analysis of a neural network with stochastic STDP Delarue, J
Reference 55
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Observation e72e84e4-1073-4819-be39-f5377d6bd750 · outbound
Mean-field analysis of a neural network with stochastic STDP Fournier and E
Reference 56
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Observation 14e97050-a336-4c32-8667-329f90087f58 · outbound
Mean-field analysis of a neural network with stochastic STDP Delattre and N
Reference 57
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Observation 5b7fcf5a-fe1f-4893-b7a8-88ac967f5b28 · outbound
Mean-field analysis of a neural network with stochastic STDP Chevallier, Mean-field limit of generalized Hawkes pro- cesses, Stochastic Process
Reference 58
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Observation 87b4d971-9bbb-49f7-bb38-a65189dc1e43 · outbound
Mean-field analysis of a neural network with stochastic STDP Farkhooi and W
Reference 59
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Observation f3468c3b-072e-4a32-ad06-6f58132cd447 · outbound
Mean-field analysis of a neural network with stochastic STDP Huang and C.-C
Reference 60
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Observation 26e2a223-927e-45ec-9085-844b1146d7bf · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 61
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Observation 31e3d6c8-26ae-4c90-b147-33f3eba04a3c · outbound
Mean-field analysis of a neural network with stochastic STDP Duchet, C
Reference 62
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Observation de283c77-b475-4169-9344-c5493ad24816 · outbound
Mean-field analysis of a neural network with stochastic STDP On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP
Reference 63
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Observation 0dd27845-1b5d-460a-8095-f5de46d0a073 · outbound
Mean-field analysis of a neural network with stochastic STDP Sznitman, Topics in propagation of chaos, in ´Ecole d’ ´Et´ e de Probabilit´ es de Saint-Flour XIX—1989, Lecture Notes in Math., Vol
Reference 64
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Observation d9994aee-496d-4f2d-9b7a-8d6f7d938777 · outbound
Mean-field analysis of a neural network with stochastic STDP Dolcemascolo, A
Reference 65
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Observation b1a408a6-428b-4ddc-b5fb-61b4f48c49d4 · outbound
Mean-field analysis of a neural network with stochastic STDP Pastor-Satorras, C
Reference 66
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Observation 10c990c1-264d-47e5-b3fa-5fa1326e6a75 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 67
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Observation 1c06e9b7-01d1-4506-9b49-97956b63cabe · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 68
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Observation 5f5b5d68-ee44-4fdf-8fcb-949596034e0f · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 69
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Observation 2060391c-25c9-4dfc-9883-c826a73f0424 · outbound
Mean-field analysis of a neural network with stochastic STDP Benayoun, J
Reference 70
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Observation ff84dc42-e118-4594-b849-a6bd53b29a08 · outbound
Mean-field analysis of a neural network with stochastic STDP Litwin-Kumar and B
Reference 71
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Observation 2d111dda-c0d0-4d74-9e9b-5bb2244b71f1 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 72
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Observation 0ae6ae3b-7951-469a-abab-82487f0a6a93 · outbound
Mean-field analysis of a neural network with stochastic STDP Dense networks of integrate-and-fire neurons: Spatially-extended mean-field limit of the empirical measure
Reference 73
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Observation 8fd79dc3-99d3-49ee-ab71-71a74b2057f2 · outbound
Mean-field analysis of a neural network with stochastic STDP Cormier, E
Reference 74
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Observation c99aa8b2-0f39-402b-bc9d-d643188e3dfd · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 75
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Observation a83fb9f0-0146-448e-8cdb-4029a2c97d43 · outbound
Mean-field analysis of a neural network with stochastic STDP Billingsley,Convergence of probability measures, 2nd ed., Wiley Series in Probability and Statistics: Probabil- ity and Statistics (John Wiley & Sons, Inc., New York,
Reference 76
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Observation dff8923f-7c58-45c9-829e-ad09c55067b5 · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 78
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Observation fe9f9c86-2b59-4740-98c2-52c8aca5e10f · outbound
Mean-field analysis of a neural network with stochastic STDP Unresolved cited work
Reference 79
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Observation 61019b4a-6bb1-4be0-a5d1-c0dc26f51c5e · outbound
Mean-field analysis of a neural network with stochastic STDP Ambrosio, N
Reference 80
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Observation ab11d535-5295-47e8-a247-f1b1faf92a28 · outbound
Mean-field analysis of a neural network with stochastic STDP x+277, a Wiley-Interscience Publication
Reference 1999
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Observation 5c3287fd-be4d-4671-a40a-6cac9a460e1a · inbound
Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs Mean-field analysis of a neural network with stochastic STDP
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.