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Paper Citation Record · LEDGER

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.07871.

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

pith.paper-citation-record.v1
2608.07871 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:50:10.611286Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 692319e0-b6d6-477e-8980-41563fb7acc9 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.971131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 00ee81e3-3b7e-471b-8a79-21e00ff9f203 · outbound

This paper cites and Foster, J.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Foster, J

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.964379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.495179Z digest=sha256:7ef285bb2c25a6ecc6b0f1e2e90f4e102e7f5fc8c4872a0eeafb4a919f5800e9

Observation a61b9b98-66a6-40a2-9129-791417475fa0 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.956368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.497929Z digest=sha256:94461f59940e36475b59037208309638a2a180d9df0bbfd05d3c65f4a782213f

Observation 66c73bd0-db0b-4ff2-807f-13061e6d13bf · outbound

This paper cites T., Lamba, H., and Ghani, R.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil T., Lamba, H., and Ghani, R

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.949399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.500495Z digest=sha256:8862edb60d6d6c7f7c4badf46121a71c1cc70ae4bee16ed7cdc32f4a3163d81a

Observation 3646897a-a37a-42c2-810c-b8d13bd5ce0f · outbound

This paper cites D., Sowell, J., and Pérez-Ortiz, M.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil D., Sowell, J., and Pérez-Ortiz, M

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.942556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.503275Z digest=sha256:f3936f3840222c5fac54188bc7873ea692092f0c19c1e857c6406d0c306ca4f9

Observation 261d9784-29a0-422b-a995-8ad340283eb8 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.935514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.506182Z digest=sha256:a014dd8aa71e57be363e770cad9ed2ca074944966658ba94cb63161f9046d36d

Observation 58c1a68f-0869-4896-95bc-b8e65e2212f3 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.928676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.509322Z digest=sha256:f150eb1188d1b4be0110f069fb90c0033894fec867447317527c2e43a9555aac

Observation 7010058f-a341-4e9b-a629-2e5af1d2f051 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.921907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.512615Z digest=sha256:2a4769a349a45089794e2fdb1918a0a24a3063a24f394b837f658a665f39c098

Observation 9ce468c5-dd22-42bb-93c0-beb12b524ddd · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.915133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.515240Z digest=sha256:ce687da82b8cb9213f951df3852cbb6bce6a2446f64cde1399e2df250537d2d6

Observation 0750e82f-8dfa-406b-ae64-851bf33ffac8 · outbound

This paper cites Orientações técnicas: Centro de referência de as- sistência social — cras.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Orientações técnicas: Centro de referência de as- sistência social — cras

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.908368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.517961Z digest=sha256:84a1ca97a29d953a675e7037c033c9f7cdb612ce7fd3d3509165e01033681d11

Observation 21602e22-8ef2-4cc9-b14e-9c1774bf0ff2 · outbound

This paper cites Norma operacional básica do sistema Único de as- sistência social (nob-suas).

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Norma operacional básica do sistema Único de as- sistência social (nob-suas)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.901230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.520510Z digest=sha256:4e7ef6d699a2c3cdcd6adeb64ef4e84b6798392f9baffbfbde42d3b08fd8f59c

Observation f7f6ffb0-dac3-40e8-9600-209e3be6bfb5 · outbound

This paper cites and Álvarez, M.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Álvarez, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.894241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.523111Z digest=sha256:0ff6b8be45e90431c08341e0cf24824b473627ed74f9fdfbc634091be8c6452b

Observation 906e7bab-fe99-432e-a6cc-a6be64845546 · outbound

This paper cites and Meng, S.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Meng, S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.887453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.525721Z digest=sha256:124ae2e19324e8f738fcb0b76f3934f27ecc84bc07f954e895ca49948e8a02cd

Observation f0fcec3d-2720-4110-823e-1792a23ff9ba · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.880556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.528217Z digest=sha256:de0ba71e47c9e5ffa60eb74ccc074e1492aba7bc9786fd992e7c0ab7c3c3e6ad

Observation 063754bc-e189-4766-a11d-0df16f268303 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.873936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.530651Z digest=sha256:55760ac2e4ef2cbdac37aef19895be3c4fcba95d1be8e974aa63f74c437cf1e9

Observation 13abd3aa-36c5-49ba-b14d-4b4fef4ee941 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.866553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.533225Z digest=sha256:6a4c8f6eac5bc0aebb4537b2d523dc63b533740fdec861df6261ec5c31355373

Observation bb2d5340-bf0c-4e76-b41b-d286e67d687e · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.858979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.535784Z digest=sha256:bf3c8790c5393f3b0d8d1fc022543a302d33723fe9f5c170cb72f3c5bd5ae9d0

Observation 7afc0648-19b6-4588-b9f0-4b9be100f373 · outbound

This paper cites L., and Fei-Fei, L.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil L., and Fei-Fei, L

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.851307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.538325Z digest=sha256:304f9af2f7d2d58c62d6e55b13f6be0b38edcc80c62b66dd9a43910f6fd8857c

Observation ba34fbbd-6058-4bdf-9651-446772a19ef1 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.843646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.541074Z digest=sha256:a61b8e2576a2feb97ebee7ce538e2b2925cfd212aaf8894463d76db825aaa697

Observation 504f8b21-7978-4144-9d25-2ff69a7e36d6 · outbound

This paper cites R., Jara-Figueroa, C., Aristarán, M., and Hidalgo, C.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil R., Jara-Figueroa, C., Aristarán, M., and Hidalgo, C

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.836314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.543611Z digest=sha256:d1f7e01a932d46f1ad1b8e15047a3b59df5cdd20c67e70236032cd2157224b33

Observation 690c79ee-a65a-4b51-8f65-4a1c8982e300 · outbound

This paper cites (2009).The Elements of Statistical Learning.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil (2009).The Elements of Statistical Learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.829357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.546518Z digest=sha256:abdbcd3f7c3aaf52d1935cbc12630bb4902a4be7772bc76e310b7823f0601f44

Observation 082e9f7c-608b-4c46-888f-74f2c00bf23a · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.822376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.549348Z digest=sha256:3be9c1d5801c2c32acbf61a4ab4cd00b83809cfc4afdd2a0324af1c77d4c630c

Observation d3ba154f-8d22-4f5d-9c1a-a4c88bc56888 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.815707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.551920Z digest=sha256:0bc540bad02cc2cc31a90f46d01aa4e99e802a6005f2840e0de0190305a1dc5f

Observation 56401986-13b7-47b7-b489-481b95f9f5ed · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.808593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.554459Z digest=sha256:857449d6d0218f290c2b70224b1b34d72b61e9674afe921d9a7857db6da1bf1d

Observation d80a884e-ce53-462e-8c2c-a5b6ab10636a · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.801007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.556950Z digest=sha256:5b9dff724162dd0a1d4a5b917f85fcd51d5700e560833c239d8f25bbf276eeb3

Observation ebab7080-b106-4866-a965-1bc3d8c72b43 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.793447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.559336Z digest=sha256:20864ffdf08a2a579ac2ea9685957f5ec8f24dd047aa7b11c7aa34468e164869

Observation 4e4589dd-f8bf-480c-893b-b0c82f61a6eb · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.786049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.561971Z digest=sha256:2cd4500fc8ec3167546ec45e059d0253cca606171d6c0b8d97899b203ad9e13d

Observation 7ade137b-089a-4389-bbc0-f2d424ce5827 · outbound

This paper cites M., Lobell, D.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil M., Lobell, D

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.779218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.564472Z digest=sha256:29de30132c2ffe5f50383d75f20ca5ce0ee0353c35059da3b8e4aac7a626866a

Observation 598fae6f-a229-40f7-a79e-735d5677c299 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.772153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.567216Z digest=sha256:85ad71a4b5bb4ca3148eb38518bb41526ee1a3f5c87ec7841c1aeebd1bde5a33

Observation 7f3bf2bd-97d1-4724-9194-69419fa452f9 · outbound

This paper cites R., Isnan, M., and Horanont, T.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil R., Isnan, M., and Horanont, T

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.765305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.569749Z digest=sha256:63927057177e2492e856d29d483d473462f55398fa76aa2534169cb24b1f8356

Observation d879ac92-b17a-44a2-9e17-8607b2411d0f · outbound

This paper cites Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:50:10.635976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.572313Z digest=sha256:e2cecb44038fa554cb27c3000fb0cf1b00f7348612cb3945a84a8ff39be98eae

Observation fb2b0217-c54f-4108-96c4-a08f9deeb27b · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.758649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.575385Z digest=sha256:9d270105be2089560fb37ef1ee2c0a7d99a607d2f775e507988295f3cb9838d6

Observation a291547e-157b-4162-9f34-dd6c4c0fb115 · outbound

This paper cites and Braithwaite, J.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Braithwaite, J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.751568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.577820Z digest=sha256:d1b307c4afac7cffa560f86f25e8562f04163f1bd4d046944dbb7bb9b1a0cd7c

Observation 6e505d82-e60c-4a57-983b-8d9555844a9e · outbound

This paper cites and Liu, J.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Liu, J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.744042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.580264Z digest=sha256:ae5a7f8f1592192c566702e157198a0a376c21be46f1df204fcc6db9aea010d1

Observation 57246165-9ddc-4ae4-a6cf-dfd7abe9173d · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.736508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.582586Z digest=sha256:3cbf752f7d59cea208b3ba22937fc8e1012b7e4988142d67f9c318d8e731efa0

Observation f36b4b2a-4334-44f5-b68a-e1fbd2dedea6 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.729035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.585115Z digest=sha256:5c55556847c5fc78588a121a0e0da8489eef0f212d747f42e89e095055f5ccf9

Observation 3f30c976-e546-43da-985e-516df07970f4 · outbound

This paper cites and Jacques, D.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil and Jacques, D

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.721594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.587618Z digest=sha256:7546ee48e6fe61917a88e41837ce46a803911039a9ef42d2f9219f9f3beb1de8

Observation bc543c81-01a7-4c17-91a2-20bac52fdc78 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.714753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.589729Z digest=sha256:b929baa49f52022875da958e188d0faa44deeab043002cbb06e5da7c54f98bc4

Observation f7356c8c-cf55-4a58-9ecb-545f154f6346 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.707827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.592060Z digest=sha256:ea96c7d2d43f8f1cd5d99e87c73083d7e5d39ed651f0f149af2bf1ba58c86f2e

Observation 7ce2db24-f3af-4d67-b5cb-8f1f2d545c79 · outbound

This paper cites (1999).Development as Freedom.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil (1999).Development as Freedom

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.700853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.594564Z digest=sha256:25705f115ee33f64541d5c750607fc92be1ee759de334d2b64e3a05e9cca037e

Observation 923f0caa-7a83-4329-8a46-445d2aed484b · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.693448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.596929Z digest=sha256:d6ef601645b0caed11f0caa95dbed9fcecb5c1f21e328e37d58078c416a0729d

Observation 3610cd9c-b5ef-42b4-a51e-9da1fe64ace8 · outbound

This paper cites E., Sundsø y, P.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil E., Sundsø y, P

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.685696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.599212Z digest=sha256:de28f627055a296d8482d1778b997cbff6dfac7ca9281e20a3cea06527c95807

Observation 9e443fa3-3117-486b-8ee9-e4710a3a9432 · outbound

This paper cites O., Missio, F.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil O., Missio, F

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.677194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.601577Z digest=sha256:ae33fde96a5c579c44b8efc7f08fb5add3bb6e0abc230d788ead15a76777cee1

Observation 5feeded7-3e8b-4080-b39f-20c19c991066 · outbound

This paper cites G., and Kim, D.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil G., and Kim, D

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.668900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.603964Z digest=sha256:cde3eaa4cbfd5b5b105d56992a8b189657135643ebb8e2b6834e0c75a3e29bd6

Observation 00d0731f-989e-490b-9f91-8836cdfbe33f · outbound

This paper cites B., Vieira, J.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil B., Vieira, J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.660907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.606516Z digest=sha256:3f714614876a468771790d3dc6b98077fe631e0629795966bba645b1c6c59e54

Observation d8081e0a-2c60-4bfd-b0c6-3a9191c371ca · outbound

This paper cites n., Gramaglia, M., Fiore, M., Smoreda, Z., and Moro, E.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil n., Gramaglia, M., Fiore, M., Smoreda, Z., and Moro, E

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:50:10.652422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.608919Z digest=sha256:5dedf65a3c8a7f7f22b5ed5add091e0f1e8ae54ce5d77e64abfaf12b972ddd25

Observation 992e4220-15c7-4ec9-9ba2-ed0185715fa7 · outbound

This paper cites an unresolved cited work.

Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:50:10.644096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:50:10.611286Z digest=sha256:f230b414ab02afe150ce52a55a7e257fa78d4658c74de4d26fbfa649770124e7

Pith citing papers

No inbound Pith citation observations are available.