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Paper Citation Record · LEDGER

Neural Conditional Simulation for Complex Spatial Processes

As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2508.20067.

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

pith.paper-citation-record.v1
2508.20067 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:20:18.093957Z

measured 14 of 14 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:08:13.463890Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:46:25.333191Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a196ad2-6864-4bb8-9b75-28e5f297d7ad · outbound

This paper cites Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data.

Neural Conditional Simulation for Complex Spatial Processes Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:20:18.125627Z

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.

source=pdf_text observed=2026-08-05T15:20:18.064893Z digest=sha256:3b7b703bceb4c4889b964d3a5827a52619198b0d53927d8beaab2bc8573671ab

Observation 4fab8ab0-cc3b-42f2-bf62-d966fe150234 · outbound

This paper cites an unresolved cited work.

Neural Conditional Simulation for Complex Spatial Processes Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:20:18.148848Z

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.

source=pdf_text observed=2026-08-05T15:20:18.088400Z digest=sha256:eb8104717156f92dfd95a435c20e95fe6331e6c3a1182de5a0115b53d179d457

Observation 8883ab42-fd79-43a7-bee2-c19282da1591 · outbound

This paper cites an unresolved cited work.

Neural Conditional Simulation for Complex Spatial Processes Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:20:18.163992Z

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.

source=pdf_text observed=2026-08-05T15:20:18.083990Z digest=sha256:63e61ef9d87705b11dcf3a5d222fc44782074fc55c8fe1084cc72b9335a716cb

Observation 09df4d96-ff05-4b90-b150-8c18034718fe · outbound

This paper cites Danelljan, A.

Neural Conditional Simulation for Complex Spatial Processes Danelljan, A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:20:18.172179Z

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.

source=pdf_text observed=2026-08-05T15:20:18.077808Z digest=sha256:72459c797ec58e009308230d8d3d7018ed4ef75201266bb086691b89ec3a31f8

Observation 54edf1b9-3369-4362-972b-16309a629984 · outbound

This paper cites an unresolved cited work.

Neural Conditional Simulation for Complex Spatial Processes Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:20:18.205030Z

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.

source=pdf_text observed=2026-08-05T15:20:18.068039Z digest=sha256:c61860ead37ad66f9d1e61a873688cc2514275f02e79db941143c7a36de8b709

Observation 2f6b3af1-795f-4f1b-b2e0-bb7f209ee25f · outbound

This paper cites an unresolved cited work.

Neural Conditional Simulation for Complex Spatial Processes Unresolved cited work

Reference 322

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:20:18.141365Z

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.

source=pdf_text observed=2026-08-05T15:20:18.091358Z digest=sha256:5acab96a6eb06c4c6a4f1ff57c266fcf03b7c8c5a77b8faa3a3a2d1ce20058dd

Observation 5a74fdd4-92b9-47f6-9435-2c4832849cd2 · outbound

This paper cites Different types of max-stable processes arise from the selection of the non-negative process Wi(s).

Neural Conditional Simulation for Complex Spatial Processes Different types of max-stable processes arise from the selection of the non-negative process Wi(s)

Reference 1985

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:20:18.156704Z

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.

source=pdf_text observed=2026-08-05T15:20:18.086196Z digest=sha256:0301cb46f9ad2e273b025b8d4662e375f027a2a7aa2388a9a7c89a527d0ed441

Observation 79e6bb1a-7be2-4ee8-b8ae-57fb3c1b2c58 · outbound

This paper cites Jain, and P.

Neural Conditional Simulation for Complex Spatial Processes Jain, and P

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:20:18.189382Z

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.

source=pdf_text observed=2026-08-05T15:20:18.072932Z digest=sha256:365b4caf8323a62b1164116e52f008b48e058d0fabdd8b399b26a266766e6817

Observation 4fa38745-1f06-4921-a431-c409009bf851 · outbound

This paper cites CFMI: Flow Matching for Missing Data Imputation.

Neural Conditional Simulation for Complex Spatial Processes CFMI: Flow Matching for Missing Data Imputation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T15:20:18.080961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:20:18.080961Z digest=sha256:4979ddecd73fe7a19046e0ddab0a14ef2b8d7953322dbcf521ec6979831f09d0

Observation 48e5d6d9-4e15-439b-9b7b-b55718b5aee3 · outbound

This paper cites Additionally, amortization is highly effective.

Neural Conditional Simulation for Complex Spatial Processes Additionally, amortization is highly effective

Reference 2048

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:20:18.134006Z

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.

source=pdf_text observed=2026-08-05T15:20:18.093957Z digest=sha256:02478290a8ec97f4ba6cf349092f27cae40494af4fde84e95c69ac74360ab871

Observation 5b7bb553-be42-47b6-b65f-7322938456b7 · outbound

This paper cites Bottou, Y.

Neural Conditional Simulation for Complex Spatial Processes Bottou, Y

Reference 2065

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:20:18.181369Z

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.

source=pdf_text observed=2026-08-05T15:20:18.075365Z digest=sha256:d12767419a1681dc694a9465fa737a76df768298bc7cda78bd84841138eacb8c

Observation 5afe7b36-fb68-4274-82ab-1ce1038be587 · outbound

This paper cites an unresolved cited work.

Neural Conditional Simulation for Complex Spatial Processes Unresolved cited work

Reference 5090

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:20:18.197767Z

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.

source=pdf_text observed=2026-08-05T15:20:18.070562Z digest=sha256:8107e3a661a9fee44d6a40839c62db98a93795e098d0fcdb2607724f455f999e

Pith citing papers

Observation b880c652-d3ed-48f8-a482-6c0930c08ba1 · inbound

A Non-stationary, Amortized, Transfer Learning Approach for Modeling Italian Air Quality cites this paper.

A Non-stationary, Amortized, Transfer Learning Approach for Modeling Italian Air Quality Neural Conditional Simulation for Complex Spatial Processes

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:19:47.526623Z

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.

source=arxiv_source observed=2026-05-10T02:57:05.201535Z digest=sha256:df650a7ece098582ced929215bb68cd063bcae749e1ae613bf67ced292755b1f

Observation 285c9284-632c-4269-a968-87ba431bd18f · inbound

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? cites this paper.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Neural Conditional Simulation for Complex Spatial Processes

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T01:08:13.463890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:08:13.463890Z digest=sha256:2bf45411dea043d2739da30cfe8f58007544405e9300776c0747142f9913d238