Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:59:10.860072Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1908.02062.
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 2026-08-14T14:59:10.860072Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b3a06d29-60b4-43b4-9fb9-0d72c84eb396 · outbound
Functional probabilistic programming for scalable Bayesian modelling Abadi, A
Reference 1
Source-reported events for the cited work
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Observation 936c524b-7ee1-4141-8a84-d69a6d2d6616 · outbound
Functional probabilistic programming for scalable Bayesian modelling Apache Hadoop , 2018 a
Reference 2
Source-reported events for the cited work
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Observation ea131622-2d57-47b7-b6a2-7ba2cdbac858 · outbound
Functional probabilistic programming for scalable Bayesian modelling Apache Spark - Unified Analytics Engine for Big Data , 2018 b
Reference 3
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Observation d5e614b8-8dc8-4f80-9a81-6c564c20627a · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 4
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 5
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Observation bdcf7e56-ba45-4151-a66b-26fbafd18da6 · outbound
Functional probabilistic programming for scalable Bayesian modelling Barr and C
Reference 6
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Observation a489e95b-1a1f-4019-8918-d55317357989 · outbound
Functional probabilistic programming for scalable Bayesian modelling A Conceptual Introduction to Hamiltonian Monte Carlo
Reference 7
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 8
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Observation a76d012f-8cad-4b53-9cb6-262d2f3892d7 · outbound
Functional probabilistic programming for scalable Bayesian modelling Brin and L
Reference 9
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 10
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Functional probabilistic programming for scalable Bayesian modelling Carpenter, A
Reference 11
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Functional probabilistic programming for scalable Bayesian modelling Chiusano and R
Reference 12
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Observation e4d904fc-9006-4ba4-91f1-47ea96d4a4d3 · outbound
Functional probabilistic programming for scalable Bayesian modelling Culbertson and K
Reference 13
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Observation 3bc3f8f9-2383-4f12-9296-92954f0f56ee · outbound
Functional probabilistic programming for scalable Bayesian modelling Dean and S
Reference 14
Source-reported events for the cited work
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Observation e93a715e-1af2-4cc6-93c3-c770a5dcc644 · outbound
Functional probabilistic programming for scalable Bayesian modelling Duane, A
Reference 15
Source-reported events for the cited work
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Observation 1fea9a78-5cfc-4074-8478-04e42b01744e · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 16
Source-reported events for the cited work
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Observation 6562416b-69e1-4efe-aa8f-e81ac4189cdf · outbound
Functional probabilistic programming for scalable Bayesian modelling A Probability Monad as the Colimit of Spaces of Finite Samples
Reference 17
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Observation 9b93ea6b-ab10-40ca-81c7-a3aabfa604ca · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 67cb8bfa-0740-4a2c-8e78-eee40048c2b3 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 8f34a353-c094-48d6-90fa-b3c8aa21a920 · outbound
Functional probabilistic programming for scalable Bayesian modelling Heunen, O
Reference 20
Source-reported events for the cited work
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Observation 58505d00-e7ee-4346-a1cc-e9a307e6a91e · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 21
Source-reported events for the cited work
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Observation 09270ea0-9ca0-45de-8ac9-8709a9b90e42 · outbound
Functional probabilistic programming for scalable Bayesian modelling Huang, Z
Reference 22
Source-reported events for the cited work
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 23
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Observation dda53c68-7877-4d25-8777-fda5216ae5fc · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 24
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Observation e7b52c22-6465-4e84-afb5-8fcdb8be8f01 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 25
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Observation 98db791c-ea43-4aa0-af47-73a350d5b30a · outbound
Functional probabilistic programming for scalable Bayesian modelling Kiselyov, A
Reference 26
Source-reported events for the cited work
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Observation 7a23d935-c018-43f1-9982-3751ec1123cc · outbound
Functional probabilistic programming for scalable Bayesian modelling Kucukelbir, D
Reference 27
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Observation 044eef54-be35-4a3b-8213-3d6509d05fa4 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 28
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Observation 3ec782d0-8b1d-45fc-b61e-52e4be8a8b7f · outbound
Functional probabilistic programming for scalable Bayesian modelling Liang, P
Reference 29
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Observation 75b48fe8-fa26-47e9-a2c1-27fa4ee105a8 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 30
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Observation 3e28a1cb-0db4-46ac-a2c1-4fc8c481c4d5 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 31
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Observation c3673d13-7199-444c-8e24-f63ad2e1ff90 · outbound
Functional probabilistic programming for scalable Bayesian modelling Matsumoto and T
Reference 32
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Observation 06979d4e-c7a5-4bcd-921f-449b35b75345 · outbound
Functional probabilistic programming for scalable Bayesian modelling McBride and R
Reference 33
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Functional probabilistic programming for scalable Bayesian modelling Metropolis, A
Reference 34
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Functional probabilistic programming for scalable Bayesian modelling Milewski
Reference 35
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Functional probabilistic programming for scalable Bayesian modelling Narayanan, J
Reference 36
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 37
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Functional probabilistic programming for scalable Bayesian modelling Odersky, P
Reference 38
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 39
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Functional probabilistic programming for scalable Bayesian modelling Paszke, S
Reference 40
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Functional probabilistic programming for scalable Bayesian modelling Plummer et al
Reference 41
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Observation 49130214-42ff-4dba-9bb1-16498ca1e756 · outbound
Functional probabilistic programming for scalable Bayesian modelling R: A Language and Environment for Statistical Computing
Reference 42
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Functional probabilistic programming for scalable Bayesian modelling Ramsey and A
Reference 43
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 44
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Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 45
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Observation f9b44c78-e6f1-49b9-874a-e357a07ff811 · outbound
Functional probabilistic programming for scalable Bayesian modelling \'S cibior, Z
Reference 46
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Functional probabilistic programming for scalable Bayesian modelling \'S cibior, O
Reference 47
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Functional probabilistic programming for scalable Bayesian modelling \'S cibior, O
Reference 48
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Observation ce06393f-724a-4789-b707-e3a400f6d61d · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 49
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Observation 7b17650f-45dc-48b2-8cbd-27cdf9a907e0 · outbound
Functional probabilistic programming for scalable Bayesian modelling Swierstra
Reference 50
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Observation 1e8ce678-aa32-444c-bb0f-d001f523061f · outbound
Functional probabilistic programming for scalable Bayesian modelling Tensorflow probability, 2018
Reference 51
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Observation 36703105-4c2d-4002-8303-8770215d9fc1 · outbound
Functional probabilistic programming for scalable Bayesian modelling Pyro: Deep universal probabilistic programming with Python and PyTorch , 2018
Reference 52
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Observation dca1c0b3-6b69-4193-91f6-e0caa88cdc15 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 53
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Observation 3655c81e-a0de-4b68-9e0c-b87f8d794a6f · outbound
Functional probabilistic programming for scalable Bayesian modelling Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Reference 54
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Observation e0e7aeb7-36ab-4be1-9853-cf35a23cad7d · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 55
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Observation c4d79e10-6f6f-4730-ad0c-5e716b79ef15 · outbound
Functional probabilistic programming for scalable Bayesian modelling Unresolved cited work
Reference 56
Source-reported events for the cited work
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Observation c9483947-0a75-4bd8-8be6-555c24eb883f · outbound
Functional probabilistic programming for scalable Bayesian modelling Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale: a self-calibrated randomized solution
Reference 57
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No inbound Pith citation observations are available.