Paper Citation Record · LEDGER

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments

As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2412.04285.

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

pith.paper-citation-record.v1
2412.04285 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:37:50.925142Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a31c76c4-d717-4329-bd80-640bd39bab63 · outbound

This paper cites Instrumental variables, spatial confounding and interference.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Instrumental variables, spatial confounding and interference

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:50.908043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34490b9-810b-409b-a16e-08a971e44796 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:50.917113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e607c5-c364-47b3-9719-ee9ba4440956 · outbound

This paper cites The Sentinel-2 data is collected using Google Earth using the least cloudy data within 2 months of the date of the temperature collection.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments The Sentinel-2 data is collected using Google Earth using the least cloudy data within 2 months of the date of the temperature collection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.101819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae781eae-8c6a-4386-8aac-49945529740d · outbound

This paper cites Counterfactual representation learning with balancing weights.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Counterfactual representation learning with balancing weights

Reference 2000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.127097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c750b81-59d6-48ae-b44d-61d7d82a55b2 · outbound

This paper cites Twitter sentiment analysis of covid vaccines.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Twitter sentiment analysis of covid vaccines

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.152381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e70d2d3-dd62-40d7-9f93-5904a726a918 · outbound

This paper cites Causal Inference for Spatial Treatments.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Causal Inference for Spatial Treatments

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:50.912276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85214692-f448-493e-b32e-2d5affdfebf7 · outbound

This paper cites Optimizing distributed networking with big data scheduling and cloud computing.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Optimizing distributed networking with big data scheduling and cloud computing

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.166916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation babc9248-2730-4e44-8823-cf144103e920 · outbound

This paper cites Spatial causal inference in the presence of unmeasured confounding and interference.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Spatial causal inference in the presence of unmeasured confounding and interference

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:50.895649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec332635-0e71-44ae-b23b-3f5ccc3b41cc · outbound

This paper cites an unresolved cited work.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:37:51.114106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1044e931-cca3-433e-87cc-d468a0048165 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmenta- tion.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments U-net: Convolutional networks for biomedical image segmenta- tion

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.140078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acda16f4-6ea8-4c1c-aa06-25567b4850ef · outbound

This paper cites Artificial intelligence aspect of transportation analysis using large scale systems.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Artificial intelligence aspect of transportation analysis using large scale systems

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:51.180331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 121671fb-bd31-418e-836f-3edf2e3c891c · outbound

This paper cites Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators.

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:50.877847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.