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Paper Citation Record · LEDGER

Neural Conditional Simulation for Complex Spatial Processes

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.064893Z digest=sha256:3988e61373450cd52b58e783fb26c6ab93465896c9beb7da1f304df507fbb176

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.088400Z digest=sha256:ff2e722f200eb22cb27e269fbbc832bee406cafa03f8298e80107f531f189a1b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.083990Z digest=sha256:2bd2a894c7f3b05bea41282827e42a771c3c9ec036ce010f91a71ba0109bcebd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.077808Z digest=sha256:d75c7c3bf90f8a3615ad96756a1a8f3c923fbbb798261c4b3af7351762173a3e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.068039Z digest=sha256:fd5c4dfb95679b5dad44a371aa73b3504400d90ae3d252bc434af3da244f8347

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.091358Z digest=sha256:d40c20ff87d82bea07f475bc4a82cca76576eba40aaf3a8bb2aa583af02b96dc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.086196Z digest=sha256:8948246414a1c0e1f32de0c505556597904d75ad7c575905b2789d81f51e9159

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.072932Z digest=sha256:7b5755602b7ee357fad6a205269806a13f08c551953866be52572cea521277d5

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:e0eeaf0814b2a2c9dd3bbda309ead53069e2656a4778330b5d99bbbea9e3a37c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.093957Z digest=sha256:489ba6df723ae6b3ceb263b7a24a9451f5a43f47b50504914bd2b7384296e575

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.075365Z digest=sha256:85a76a3f01bb7f3c9afd9f485e6416e809adf1726859e9eba0f868d839e5c0d6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:20:18.070562Z digest=sha256:375f298b76b15ce48dd8974afee8e860dbfddfcdef472f3e7910565f0621fdeb

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T02:57:05.201535Z digest=sha256:44ae5136b1019694d4c329405f966f6bf2ed59eae1cd68174e0e0dea79b97ad3

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=sha256:1c4195c36924be87bb3e0e02b3e0c774f3c08d145b734fec2137aef8546fcffb