Pith. sign in

Paper Citation Record · LEDGER

MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.02771.

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

pith.paper-citation-record.v1
2405.02771 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:53.100039Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:07:35.289176Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • 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 45707ee8-d869-4e09-99e5-5aef7c1d2135 · inbound

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? cites this paper.

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:05:11.525836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T22:04:31.626621Z digest=sha256:c31d41780405d9adf67c423bd32ed8d9cdcd75fbe85e6c4ce0deccb3fd463b83

Observation c22a0db8-849d-439d-aecf-b0511898dd12 · inbound

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks cites this paper.

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:53.100039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:53.100039Z digest=sha256:f8c95bbbbca3ca8b3046f3c724e1b5648117d32409e95094a7274211944990a0

Observation e93899d6-2853-41c5-ae8f-f3841083efcb · inbound

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models cites this paper.

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:15.721344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:15.721344Z digest=sha256:061774563fea8de13dc139815993e431411d2edf378b8ddd305fbabb304fe93c

Observation d1574005-3c06-4b30-8001-ef22ef8f6084 · inbound

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications cites this paper.

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T19:38:14.680437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:38:14.680437Z digest=sha256:4b716fdf454f02bd506df1595e9d5d41ea850293dbd99321a94481a3fc924080

Observation 064ead0f-d758-4a3c-a7e0-fc673d0fe192 · inbound

SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm cites this paper.

SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:04:39.368857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T10:18:15.648901Z digest=sha256:5a33891fb83595ec38243765e5c59c40117509428f39cddca8e48cd5ac8772e4

Observation 1b7ccbc1-a389-4dec-91f0-856f38e165e0 · inbound

Scalable and Trustworthy Earth Observation Foundation Models cites this paper.

Scalable and Trustworthy Earth Observation Foundation Models MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:07:35.290376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-10T18:58:32.854964Z digest=sha256:836d24ab57664b0390941b92e1c7d5d91847854b49abd3f94f93bea08f57706f