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Paper Citation Record · LEDGER

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2003.00824.

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

pith.paper-citation-record.v1
2003.00824 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:33:20.752374Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:17:01.611458Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation acaa15c7-2248-4388-99d7-32002de6c159 · inbound

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations cites this paper.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:42:13.423237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T22:41:00.027266Z digest=sha256:c6de336c3e896c70cdaa6cbea805a8cfbf39a11694fe591a2e11a045510858f0

Observation 536b21ef-99e5-4946-94ed-0c2510d5c7d6 · inbound

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning cites this paper.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.752374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.752374Z digest=sha256:8f3f326ee8a982936126001996d8d5003e491c74feba5603844d760f9346ca88

Observation 79fd5f4e-da1e-4a1b-875f-98f24338982c · inbound

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning cites this paper.

Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:48.905138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.905138Z digest=sha256:63a3b601e40c59b291a0d4d244ac1065861ac2f16ee99755a5257ddf4f28a62b

Observation 90a85501-8466-469a-aa37-78d6c1f6ce0f · inbound

BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data cites this paper.

BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T20:25:36.285685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:25:36.285685Z digest=sha256:8c55551e41c029474e21609920302cbbe963fbdb30735fdbc14e70ea1795f220

Observation d411f8c9-ed3e-42ac-86a0-1f8eb6b36649 · inbound

POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution cites this paper.

POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:07:19.031418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:07:19.031418Z digest=sha256:30ae8002129159a959f1d0b4fe603813efa8fa174951f509d1f1c6bc0be94693

Observation 8887bbdf-de1f-4f94-a11e-2e6a738c84be · inbound

Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution cites this paper.

Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:06.902734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:06.902734Z digest=sha256:5ace6aff3c88d8a9229191c60e74576bf0c018dec7af61a461d492bc90905348

Observation dec8216c-e296-42c6-b5f5-b9796cfa2b48 · inbound

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model cites this paper.

Scalable Geospatial Data Generation Using AlphaEarth Foundations Model Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T19:53:34.548273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:53:34.548273Z digest=sha256:731b72f9c29e51447508ead075698acdfba499c9f13b5482ae0ec70a7c567f4e

Observation fc412a95-e4a1-4797-9d34-b7495968f757 · inbound

TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning cites this paper.

TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:38:05.733605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:36:20.078866Z digest=sha256:cd50f38c6c3c06ce248772c165a289cefaa6337cb82b0206cf8a3543ea08f774

Observation 965afbe4-16bf-457a-a429-c4b641235dc9 · inbound

Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction cites this paper.

Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-10T10:17:01.612823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T10:08:11.662141Z digest=sha256:ecb88fefaadf7ec93715b65ee076ec787b090e2815b7f54517a80950a10bde02