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Paper Citation Record · LEDGER

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.05016.

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

pith.paper-citation-record.v1
2506.05016 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:33:20.807222Z

measured 29 of 29 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

29 of 29 outbound references displayed

  • verified exact10
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 646e5b72-2b5f-4988-bd99-ad81de66fd25 · outbound

This paper cites Butler, M.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Butler, M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:33:21.421791Z

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.

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Observation 138598c7-ff34-45c6-aeb8-f0bc2a17ba1c · outbound

This paper cites Qi Charles, Hao Su, Mo Kaichun, and Leonidas J.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Qi Charles, Hao Su, Mo Kaichun, and Leonidas J

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.711606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0b17379e-8e95-4030-b863-f04f41f35f4f · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.929947Z

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.

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Observation 8c6cdbed-3cc7-492b-9069-f28f54e0790a · outbound

This paper cites Gavade and Priyanka A.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Gavade and Priyanka A

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.918171Z

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.

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Observation aa35a51b-38b9-454d-8198-610b450823df · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:33:21.409687Z

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.

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Observation c0f8d8ed-9d1d-45f2-93e7-33cbb09698bc · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.905731Z

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.

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Observation a1434145-7c7c-4d86-8b48-81af3262c932 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.894370Z

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.

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Observation 251f25e2-d2dc-4232-a91a-296de9aaee8f · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.735169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.735169Z digest=sha256:eaf8d620e9b488a45639733c6394c581dea161f6bd0325808b1f3d3d7a1c26cb

Observation d9e40cb5-1a07-428c-93ab-066861f09882 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:33:21.395523Z

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.

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Observation 4ad83d16-79b2-403b-8092-b4af208bf6b1 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 10

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.877028Z

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.

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Observation ee887d28-c30c-4696-9225-2a5873734f46 · outbound

This paper cites A Review of Location Encoding for GeoAI: Methods and Applications.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning A Review of Location Encoding for GeoAI: Methods and Applications

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:33:21.323870Z

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.

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

This paper cites Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells.

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.

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Observation ef7b037c-0db0-4641-af8c-c370db4c50a5 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.756226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.756226Z digest=sha256:3b8308ea9a8da4c27f34df6798c8048d93bd5996f3656c2d7d89fe91feedfa98

Observation 8b75ccbf-fe5c-4294-b89e-1d7f9256dbea · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.759461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 197db302-274f-4641-a7b7-0cfe41c76f48 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 15

Resolution
verified exact
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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.

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Observation e2fb8873-e3b5-4b2d-a53f-dd54fbd09b1c · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 16

Resolution
unresolved
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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.

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Observation 19655a61-0ebd-4ec4-b383-f96bf379c6ee · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:33:21.362310Z

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.

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Observation 9a676f3c-b4a7-4864-9bf3-3362d492f1ed · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:33:21.352336Z

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.

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Observation 52f8ee5e-3598-4dde-97d4-85352cff6194 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning You Only Look Once: Unified, Real-Time Object Detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.775993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8fa31d58-976d-4a30-994e-77e43c6eaa6d · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:33:21.341778Z

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.

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Observation 782a4148-93a7-40e6-8ab1-b363d9eea247 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 21

Resolution
verified exact
doi, observed 2026-08-07T10:33:20.852523Z

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.

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Observation 180e743e-af45-422b-b37d-7ea12c38320f · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.787024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.787024Z digest=sha256:8defb8666d20116d0169ff40ab667b3966eb4ed5dbd963b851d7432763f8d644

Observation 3b7366e4-3a40-49d1-b83c-3f33ce74764d · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.790930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.790930Z digest=sha256:7af34571bd355212a4e8df4671519d2c362dfbce9476eccadeefeb8c8c67b506

Observation b07ad543-0e9d-4fca-a52e-32af11352063 · outbound

This paper cites Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding

Reference 24

Resolution
verified exact
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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.

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Observation 50a2a0de-e6a4-420a-99ef-68fe0e25ec2d · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.797680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2cd05352-abd9-4959-8613-efa817084ac8 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:33:20.800853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:33:20.800853Z digest=sha256:f859398dc1eb7b4ce5fa292d3cb14b842583ec1ff72fe7c70e2a78ec0f59ec14

Observation 02e4c5ba-d4d9-488f-a3f4-2b7d05844aa6 · outbound

This paper cites an unresolved cited work.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Unresolved cited work

Reference 27

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:33:21.050345Z

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.

source=pdf_text observed=2026-08-07T10:33:20.803853Z digest=sha256:e2546764586c9383980e0b2ac7f2dc25cbb11bb2a93f33be9f353cce3db455be

Observation fc620b3b-f981-414a-8f69-c2a58f4a9d71 · outbound

This paper cites Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:33:20.952357Z

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.

source=pdf_text observed=2026-08-07T10:33:20.807222Z digest=sha256:7d6d776223ec3cbc64be5ffb4441eb4fdfd158b0a33b697e1bd59ab9b1787d66

Observation 13bab043-2ee2-4f16-a308-3e181f695721 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 130 (2017), 277–293.

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning ISPRS Journal of Photogrammetry and Remote Sensing 130 (2017), 277–293

Reference 2017

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:33:21.383707Z

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.

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Pith citing papers

No inbound Pith citation observations are available.