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Paper Citation Record · LEDGER

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2506.03022.

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

pith.paper-citation-record.v1
2506.03022 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:12.277548Z

measured 20 of 20 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:10.240405Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:14:12.418761Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4558ce6e-4a43-4961-8fca-a47477f629b6 · outbound

This paper cites BlackSky’s first-of-a-kind commercial constella- tion provides reliable and dynamic hourly monitoring, up to 15 times a day from dawn until dusk.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research BlackSky’s first-of-a-kind commercial constella- tion provides reliable and dynamic hourly monitoring, up to 15 times a day from dawn until dusk

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:15.417508Z

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.

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Observation b717e79d-d38d-4aed-b816-3744dd4da911 · outbound

This paper cites Smartflow: Enabling Scalable Spatiotemporal Geospatial Research.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Smartflow: Enabling Scalable Spatiotemporal Geospatial Research

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:14:12.462507Z

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.

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Observation 92fb68b9-cb50-45ac-86aa-71176b3ba1bb · outbound

This paper cites an unresolved cited work.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:14:15.272599Z

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.

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Observation d646a1be-213e-4130-a61a-229315149769 · outbound

This paper cites We have shown how Smartflow can efficiently process large quantities of multi- temporal multi-sensor data using STAC-compliant catalogs and Kubernetes.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research We have shown how Smartflow can efficiently process large quantities of multi- temporal multi-sensor data using STAC-compliant catalogs and Kubernetes

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:15.091821Z

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.

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Observation 4cf23c3f-18c9-4570-839e-c681b9b55e03 · outbound

This paper cites Blacksky’s new satellites complete com- missioning, enter revenue-generating operations within 18 hours,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Blacksky’s new satellites complete com- missioning, enter revenue-generating operations within 18 hours,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.938296Z

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=2026-08-07T11:14:10.532760Z digest=sha256:fb8e6d3ac22e0992517439482af7732ad2aa4a98a6bf4b6ded6afb7e8894595e

Observation b5aa2ffa-c389-4c02-8961-d9ce918fde33 · outbound

This paper cites Functional map of the world,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Functional map of the world,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.761104Z

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=2026-08-07T11:14:10.664394Z digest=sha256:6ea4fb8c95020c0a5a48f592359f45f1a5ac8f45d914bc19fdc141dea9e19b88

Observation 3cdb9b32-7d60-4d37-b6a9-c634b5588744 · outbound

This paper cites Estimating displaced pop- ulations from overhead,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Estimating displaced pop- ulations from overhead,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.619566Z

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.

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Observation 1208d0cd-ba3e-4677-bd90-d82747c5f627 · outbound

This paper cites Com- bining satellite imagery and machine learning to predict poverty,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Com- bining satellite imagery and machine learning to predict poverty,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.459520Z

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.

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Observation ed939918-f91b-4b1b-ba16-1435a0a420a3 · outbound

This paper cites Climate TRACE - Tracking Real time Atmo- spheric Carbon Emissions: Making greenhouse gases emissions visible through remote sensing and artificial intelligence,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Climate TRACE - Tracking Real time Atmo- spheric Carbon Emissions: Making greenhouse gases emissions visible through remote sensing and artificial intelligence,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.277423Z

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.

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Observation 2da0117c-5cf9-4581-bf0a-84e6199b8cf1 · outbound

This paper cites Google earth engine: Planetary-scale geospatial analy- sis for everyone,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Google earth engine: Planetary-scale geospatial analy- sis for everyone,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:14.091701Z

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=2026-08-07T11:14:11.220904Z digest=sha256:e67fdc61ac32a21961887e498eb194caa021997fe759da02c0026bc812125d20

Observation b0d8a649-e3b1-48df-9841-bfe77b15c5d5 · outbound

This paper cites Too much information, not enough intelligence,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Too much information, not enough intelligence,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.935808Z

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.

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Observation 8b61ebe2-9a5c-4911-afaa-2dadb59ff297 · outbound

This paper cites Geoengine: A platform for production-ready geospa- tial research,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Geoengine: A platform for production-ready geospa- tial research,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.733568Z

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=2026-08-07T11:14:11.446038Z digest=sha256:f7521bafd5ab3fd6df5782e173010b6f80f807afea5f56636e5d31ce9c214ef4

Observation b2ac1d50-524f-4763-aa49-dba999f8f2e1 · outbound

This paper cites Free and open source software: Evolution, benefits and charac- teristics,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Free and open source software: Evolution, benefits and charac- teristics,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.551261Z

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=2026-08-07T11:14:11.552498Z digest=sha256:82903611b04e776f5ec292dab2477b139d437adf213e296019c8c16e2bfdd453

Observation e76daeaf-34fd-4ce8-8d9d-dc44245e9815 · outbound

This paper cites Pangeo: a big-data ecosystem for scalable earth system science,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Pangeo: a big-data ecosystem for scalable earth system science,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.393817Z

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=2026-08-07T11:14:11.659289Z digest=sha256:9480ae9bf6e0442c0c991aaf5da4be055dd73824ce2f73c32cb4b13bf6a03e77

Observation 737c8f0a-417c-4b12-951b-1956794aac3f · outbound

This paper cites Blacksky wins $4.4 million iarpa contract to provide advanced artificial intelligence for space-based dynamic monitoring,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Blacksky wins $4.4 million iarpa contract to provide advanced artificial intelligence for space-based dynamic monitoring,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.209107Z

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=2026-08-07T11:14:11.807030Z digest=sha256:e4075100b510a9326cdc5e6ac1e2892f88e49fce59f5759c8d231cc8577d2f2b

Observation 97ea9063-532e-4367-abc2-f2fdaafd9568 · outbound

This paper cites Automated global-scale detection and charac- terization of anthropogenic activity using multi-source satellite-based remote sensing imagery,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Automated global-scale detection and charac- terization of anthropogenic activity using multi-source satellite-based remote sensing imagery,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:13.004636Z

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.

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Observation 18c16e3e-9766-4c6a-90b9-182b7b03d6d1 · outbound

This paper cites ViTs for SITS: Vision Transformers for Satellite Image Time Series.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research ViTs for SITS: Vision Transformers for Satellite Image Time Series

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:14:12.031318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:12.031318Z digest=sha256:453b042cca31d68624119af0a32b46b49b28766159c9a06160a32d39c8def8dc

Observation e1c69ed2-cca8-4870-b77e-a81935ac8d83 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research U-net: Convolutional networks for biomedical image segmentation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:12.817036Z

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=2026-08-07T11:14:12.142029Z digest=sha256:94b3bd9eb4e7e9acdef78dabb2a9721fff0af1ccb193bbb9632981eff5b754b9

Observation 20f57b8d-c7fd-4d8f-afe6-e0ad41433bdb · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:14:12.644599Z

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=2026-08-07T11:14:12.277548Z digest=sha256:b1f0035073150cc6da3a4c2c5d11f8038ea0f64660a7ada530f594dace149fe0

Pith citing papers

Observation b717e79d-d38d-4aed-b816-3744dd4da911 · inbound

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research cites this paper.

Smartflow: Enabling Scalable Spatiotemporal Geospatial Research Smartflow: Enabling Scalable Spatiotemporal Geospatial Research

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:14:12.462507Z

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=2026-08-07T11:14:10.240405Z digest=sha256:d7a1548103aeac32c54abd0a991dcc06c734a59a9145ad107387aa50ba65fc93