Pith. sign in

Paper Citation Record · LEDGER

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.08780.

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

pith.paper-citation-record.v1
2506.08780 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:22.915033Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved7
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d46bd1bf-4e2e-4f3a-a71a-ba07b37faef5 · outbound

This paper cites Engebretson, C.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Engebretson, C

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:22.017882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.017882Z digest=sha256:a1c48ee9ed8ca6c66d7fccde256f81ca82aa661f6f37b1dfed35ea5270a2b58f

Observation 15dd29ea-50fa-4972-bf72-03c555522d27 · outbound

This paper cites microsoft/planetarycomputer: October 2022, October.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models microsoft/planetarycomputer: October 2022, October

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:23.727123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:22.387041Z digest=sha256:d5e2aa75b4bb6948cfa84b449fbc32566a76a84d849489e8b0e2db69e72681a1

Observation b56f872a-725c-4d42-b0b8-c6b1d099a647 · outbound

This paper cites SSL4EO-L: Datasets and Foundation Models for Landsat Imagery.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:22.571106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.571106Z digest=sha256:a914886199eca471836184b2bb879618d1b4fffcf9047459862dbb885425d599

Observation 7fdfe171-ce6c-4a90-9a01-11825a0cf7fc · outbound

This paper cites Bigearthnet: A large-scale benchmark archive for remote sensing image understanding.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Bigearthnet: A large-scale benchmark archive for remote sensing image understanding

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:23.483613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:22.653658Z digest=sha256:a3657069dc7d8a9c4596575bd4a6c2d4b3cce0c71afda9719b365afcde3f1201

Observation 5fd928c7-e2fb-4cbe-8c39-959bdbf8fb06 · outbound

This paper cites 2017.06.031.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models 2017.06.031

Reference 31

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:06:22.176347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.176347Z digest=sha256:540744017ae493f64eddc7666b799270e3c222c7e67ae274da82c59d00ca24f0

Observation 3d27e9a8-f314-476d-ac4e-8b5a1ea41206 · outbound

This paper cites Coper- nicus global land service: land cover 100 m: collec- tion 3: epoch 2019: Globe.Zenodo,.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Coper- nicus global land service: land cover 100 m: collec- tion 3: epoch 2019: Globe.Zenodo,

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:24.174509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:21.742422Z digest=sha256:cb2022339d665309521d2d8f6fcd053c8301664458326d542ea00420d3ea3d51

Observation 97da3010-df54-4abb-ab94-33b9e4d3da3f · outbound

This paper cites an unresolved cited work.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Unresolved cited work

Reference 2017

Resolution
verified exact
doi, observed 2026-08-07T05:06:23.111857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:22.095763Z digest=sha256:80c5726def8c65b64a48ea5c4181f57bf94842e755e77b7c4799aea8410d55dc

Observation 7a1d699c-33cd-4733-9e71-207419f66af6 · outbound

This paper cites Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:22.755420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.755420Z digest=sha256:21dbedfdb8720b14e969200e6a0ec3eadf5906d7d003e1c0a11b91e48ac472c5

Observation 43746fda-e28e-41ff-a983-c897035f1b56 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Improved Baselines with Momentum Contrastive Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:21.807639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:21.807639Z digest=sha256:0d53525cd911a2e49c3c8b5c7bb4b801c1b25dce68987b39727ec0397bd7fa23

Observation 0ffc79cb-4108-4097-ade5-395934f59b2c · outbound

This paper cites and Survey, U.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models and Survey, U

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:23.967400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:21.891246Z digest=sha256:1ce63340b5f50250b1f324b63be0b8fb3035f5b1b1faac1ddda807de5d3d8d80

Observation 41607d45-1b98-42fd-9d1b-94963c155465 · outbound

This paper cites In-domain representation learning for remote sensing.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models In-domain representation learning for remote sensing

Reference 2022

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:06:22.508597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.508597Z digest=sha256:0b7091bf644e74b7edc7e0c3d23e00a57ddbdb15d86b9846bae14903be0afc0e

Observation 0e02dcbe-f036-433c-87d7-d6ea9631cd27 · outbound

This paper cites On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:22.265275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.265275Z digest=sha256:0e4befce91e31f4afcdf7b1ad7f89382b499c4097ec74a1b009ed12107e4d738

Observation df039f67-0dbb-4de7-9bb7-6be409183ca5 · outbound

This paper cites Towards a Unified Copernicus Foundation Model for Earth Vision.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Towards a Unified Copernicus Foundation Model for Earth Vision

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:22.824332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:22.824332Z digest=sha256:a59bd1c316d2cf7bebe0849d0a3deb5971ff21ff26ef9a50bc0a9cc15e481428

Observation 161d386b-d658-4198-8878-f3be81fb1b5a · outbound

This paper cites an unresolved cited work.

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:06:23.357858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:22.915033Z digest=sha256:7e97650baa3421001200c249abc6705ccbf586719849db560ede299a1d40ae07

Pith citing papers

No inbound Pith citation observations are available.