Paper Citation Record · LEDGER

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.06170.

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

pith.paper-citation-record.v1
2502.06170 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:33:58.054677Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy22
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64b753c9-adcc-4e17-84c1-eedd359b83b5 · outbound

This paper cites write newline.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity write newline

Reference 1

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Source-reported events for the cited work

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Observation 0ddfeaa4-beab-4643-8928-043626845f9c · outbound

This paper cites TabNet: Attentive Interpretable Tabular Learning.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity TabNet: Attentive Interpretable Tabular Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:57.928761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1876d4e7-4737-490d-82bd-d928ac6ba8d7 · outbound

This paper cites Scaling learning algorithms towards AI.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Scaling learning algorithms towards AI

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.481940Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a065cbf8-9a4f-42a7-bc9b-8fb976b9c2a9 · outbound

This paper cites Random forests.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Random forests

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.467899Z

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 40dff228-b336-4f21-9ebb-ad77a9a3e602 · outbound

This paper cites End-to-end object detection with transformers.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity End-to-end object detection with transformers

Reference 5

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Source-reported events for the cited work

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Observation bc07cd2e-2ef1-4e3b-83fe-f8e2835d5cc7 · outbound

This paper cites Z., Wu, J., Sun, J., 2024.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Z., Wu, J., Sun, J., 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.444724Z

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 2afa2be9-05b4-48aa-8ac2-c4aad5721825 · outbound

This paper cites Xgboost: A scalable tree boosting system.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Xgboost: A scalable tree boosting system

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.431330Z

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 efe44378-daff-4a1c-9eea-8ea1c4971121 · outbound

This paper cites Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.417760Z

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 399bc403-b795-46c8-abda-790750689659 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:57.963079Z

Source-reported events for the cited work

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Observation c2c16d89-c8de-423d-ad84-721691b21228 · outbound

This paper cites S., Brunsdon, C., Charlton, M., 2009.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity S., Brunsdon, C., Charlton, M., 2009

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.403990Z

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 f1a99d9f-2582-4686-8399-930c051d6d23 · outbound

This paper cites S., Crespo, R., Yao, J., 2015.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity S., Crespo, R., Yao, J., 2015

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.390594Z

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 932d97ac-d302-4484-b110-be91d4d85d56 · outbound

This paper cites Modis/terra+aqua land cover type yearly l3 global 0.05deg cmg v061.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Modis/terra+aqua land cover type yearly l3 global 0.05deg cmg v061

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.377033Z

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 596cdeac-0f02-4e53-9d24-fb89e763cdc4 · outbound

This paper cites Deep learning.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.362943Z

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 3b30cdb0-3c7e-4e70-a96b-a0bdbc91fef7 · outbound

This paper cites Revisiting Deep Learning Models for Tabular Data.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Revisiting Deep Learning Models for Tabular Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:57.985419Z

Source-reported events for the cited work

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Observation 58ab7575-7a96-46d0-b23c-87631f04ea97 · outbound

This paper cites node2vec: Scalable feature learning for networks.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity node2vec: Scalable feature learning for networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.348669Z

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 fd245623-c843-4f73-9b08-54d0019bc803 · outbound

This paper cites E., Osindero, S., Teh, Y.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity E., Osindero, S., Teh, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.334446Z

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 616ffae3-400e-4e3f-af60-dbee76f69759 · outbound

This paper cites PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Reference 17

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Source-reported events for the cited work

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Observation a32127ab-1907-4a15-89b7-eeb97869d3c9 · outbound

This paper cites Transformers are RNN s: Fast autoregressive transformers with linear attention.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Transformers are RNN s: Fast autoregressive transformers with linear attention

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.319543Z

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 e6b0744d-7442-4718-aa05-4d1f08db4792 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Lightgbm: A highly efficient gradient boosting decision tree

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.305076Z

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 ea8f6a13-8959-4dac-a9a8-b2bec68a2741 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Semi-Supervised Classification with Graph Convolutional Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:58.011517Z

Source-reported events for the cited work

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Observation 714c1927-70a8-42cb-ad66-ddbb16c1b03e · outbound

This paper cites Global prediction of gross primary productivity under future climate change.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Global prediction of gross primary productivity under future climate change

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.289401Z

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 c5f65a9e-1621-4616-9e2d-37f62c40b083 · outbound

This paper cites et al., 2021.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity et al., 2021

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.275134Z

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 6ba25f1d-c932-4f22-bbd8-ff988d6a61a6 · outbound

This paper cites V., Gulin, A., 2018.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity V., Gulin, A., 2018

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.261065Z

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 7a321afd-a7d9-441d-8041-8b4a4908496a · outbound

This paper cites Global expansion of tropical cyclone precipitation footprint.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Global expansion of tropical cyclone precipitation footprint

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.246741Z

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 f67df6c1-69b2-4a77-b25f-f2e903e16fb7 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Roformer: Enhanced transformer with rotary position embedding

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.232162Z

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 95197e59-1165-4f3b-a493-ff09fb25a449 · outbound

This paper cites Attention is all you need.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Attention is all you need

Reference 26

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Source-reported events for the cited work

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Observation c8d9aa9b-1040-493b-a44c-f0e2b4ad33fa · outbound

This paper cites M., 2024.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity M., 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.207907Z

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 e7da485f-e9b8-44b9-b9a8-d72be4cbcdd4 · outbound

This paper cites Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.193290Z

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 13ffcc16-f791-40e4-8dad-20e6358bcba1 · outbound

This paper cites Y., 2020.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Y., 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.177330Z

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 80cc9b6d-e56d-41af-a36a-ab9df7fe1a89 · outbound

This paper cites H., McVicar, T.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity H., McVicar, T

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:33:58.162348Z

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.

Pith citing papers

No inbound Pith citation observations are available.