Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:48:41.158641Z
Paper Citation Record · LEDGER
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2504.19742.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation da444b1f-9420-47d7-8dd3-6e9b7a647ef6 · outbound
This paper cites https://www.inaturalist.org.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia https://www.inaturalist.org
Reference 1
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Observation 40cfd075-a3c1-41cd-9360-c555094d7a68 · outbound
This paper cites A simple zero-shot prompt weight- ing technique to improve prompt ensembling in text-image models.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia A simple zero-shot prompt weight- ing technique to improve prompt ensembling in text-image models
Reference 2
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Observation 7b76cef1-a280-4390-95f4-eb4d61600a52 · outbound
This paper cites Bird- snap: Large-scale fine-grained visual categorization of birds.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Bird- snap: Large-scale fine-grained visual categorization of birds
Reference 3
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Observation 88e4933a-8c54-40fa-8808-a33ef55990ff · outbound
This paper cites An unexpectedly large count of trees in the west african sahara and sahel.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia An unexpectedly large count of trees in the west african sahara and sahel
Reference 4
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Observation 8e3e7cf8-3229-45b7-ac4e-b38f3f83ef8b · outbound
This paper cites Unveiling global species abundance distributions.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Unveiling global species abundance distributions
Reference 5
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Observation ad9166c4-36b9-4d4f-917e-46360756988b · outbound
This paper cites Prompt-rsvqa: Prompting visual context to a language model for remote sensing visual question answering.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Prompt-rsvqa: Prompting visual context to a language model for remote sensing visual question answering
Reference 6
- Resolution
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Observation db9e691a-579c-4b11-a39f-cd4648e79ed4 · outbound
This paper cites Data-efficient language-supervised zero-shot learning with self-distillation.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Data-efficient language-supervised zero-shot learning with self-distillation
Reference 7
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Observation ac8e493f-c667-479a-8161-b656944b2d39 · outbound
This paper cites Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching
Reference 8
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Observation 7f244704-3f6f-42b5-b3c3-153fef07e1a2 · outbound
This paper cites Eunis habitat classification: Expert system, character- istic species combinations and distribution maps of european habitats.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Eunis habitat classification: Expert system, character- istic species combinations and distribution maps of european habitats
Reference 9
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Observation bb533cc5-a00c-4c41-bd9b-72f0615ff4bc · outbound
This paper cites WildSAT: Learning Satellite Image Representations from Wildlife Observations.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia WildSAT: Learning Satellite Image Representations from Wildlife Observations
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 9f51dc3d-3d9e-445c-8e08-04bbd5d1026e · outbound
This paper cites Widespread sampling biases in herbaria revealed from large-scale digitization.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Widespread sampling biases in herbaria revealed from large-scale digitization
Reference 11
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Observation b6f2f104-e91b-4ce2-a35e-c0e105345293 · outbound
This paper cites Multispecies detection and identification of african mammals in aerial imagery us- ing convolutional neural networks.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Multispecies detection and identification of african mammals in aerial imagery us- ing convolutional neural networks
Reference 12
- Resolution
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Observation 20e2ce3e-bc0f-46db-92d2-37dd4cc1b780 · outbound
This paper cites Sat2cap: Map- ping fine-grained textual descriptions from satellite images.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Sat2cap: Map- ping fine-grained textual descriptions from satellite images
Reference 13
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Observation 4b56db44-d431-4cad-88d5-92a5e2b860ff · outbound
This paper cites With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Vi- sual Representations.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Vi- sual Representations
Reference 14
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Observation 758d8c1b-8ccf-411e-a94b-fd3954d46c6d · outbound
This paper cites Learning visual representations via language-guided sam- pling.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Learning visual representations via language-guided sam- pling
Reference 15
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Observation c5651a3f-430d-4d47-afef-605dd1a3f92d · outbound
This paper cites Bias correction in species distribution models: pool- ing survey and collection data for multiple species.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Bias correction in species distribution models: pool- ing survey and collection data for multiple species
Reference 16
- Resolution
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Observation 2dcf0a5d-b0e2-4a4e-9e1e-0d7d148a50a8 · outbound
This paper cites Wikipedia corpus.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Wikipedia corpus
Reference 17
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Observation b044af60-58d5-4ebe-aa6a-40a60fd99505 · outbound
This paper cites SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger
Reference 18
- Resolution
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Observation c55202b7-6808-436f-8592-c7be13a07f09 · outbound
This paper cites Gbif occurrence download, doi:10.15468/dl.pr8cws, 2024.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Gbif occurrence download, doi:10.15468/dl.pr8cws, 2024
Reference 19
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Observation 6fbd8da9-6054-4f0b-b319-ede181a8349d · outbound
This paper cites Pl@ ntnet mobile app.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Pl@ ntnet mobile app
Reference 20
- Resolution
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Observation f757b337-62e6-4020-9fbf-d43185c7bbfa · outbound
This paper cites Combining observational data and language for species range estimation.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Combining observational data and language for species range estimation
Reference 21
- Resolution
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Observation 98c865c8-9736-430d-a790-6b4ebc42ee78 · outbound
This paper cites Open- clip, 2021.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Open- clip, 2021
Reference 22
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Observation a0fcf1d1-6331-42e7-80fa-b2e40448c466 · outbound
This paper cites Senclip: Enhancing zero-shot land-use mapping for sentinel-2 with ground-level prompt- ing.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Senclip: Enhancing zero-shot land-use mapping for sentinel-2 with ground-level prompt- ing
Reference 23
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Observation 8bc89c4b-fef0-4589-961f-a65d68d4c658 · outbound
This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Scaling up visual and vision-language representa- tion learning with noisy text supervision
Reference 24
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Observation 368b907b-86b4-4fdd-82a9-8c40cc7a1d57 · outbound
This paper cites Rapidly mapping fire effects on biodiversity at a large-scale using citizen science.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Rapidly mapping fire effects on biodiversity at a large-scale using citizen science
Reference 25
- Resolution
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Observation 75ab94d3-615b-4872-9e1f-834d86f602b1 · outbound
This paper cites A high-resolution canopy height model of the earth.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia A high-resolution canopy height model of the earth
Reference 26
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Source-reported events for the cited work
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Observation 533a89f7-c392-4289-bba5-4044130686b8 · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 27
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EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 28
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Observation a08672fa-2644-454a-8042-5df5e52554e7 · outbound
This paper cites Selective-supervised contrastive learning with noisy labels.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Selective-supervised contrastive learning with noisy labels
Reference 29
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Observation ed0555b8-b428-4572-8b31-b98f13f2f87a · outbound
This paper cites Su- pervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Su- pervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Reference 30
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Observation a5ebce43-9e87-4c82-bb5f-1fa174939e46 · outbound
This paper cites Re- moteclip: A vision language foundation model for remote sensing.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Re- moteclip: A vision language foundation model for remote sensing
Reference 31
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Observation c5075847-4c33-48b9-b2c1-7b39e5b385c0 · outbound
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EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Decoupled weight de- cay regularization
Reference 32
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This paper cites Presence- only geographical priors for fine-grained image classifica- tion.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Presence- only geographical priors for fine-grained image classifica- tion
Reference 33
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Observation 85d60ac9-e97c-44c0-bcf7-0300ba00192c · outbound
This paper cites Ro- bust audio-visual instance discrimination.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Ro- bust audio-visual instance discrimination
Reference 34
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Observation 07275ff9-aacd-48f3-a333-a36892925506 · outbound
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EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Slip: Self-supervision meets language-image pre- training
Reference 35
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This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Reference 36
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This paper cites Representation Learning with Contrastive Predictive Coding.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Representation Learning with Contrastive Predictive Coding
Reference 37
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Source-reported events for the cited work
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This paper cites ZEST: Zero-shot Learning from Text Descrip- tions using Textual Similarity and Visual Summarization.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia ZEST: Zero-shot Learning from Text Descrip- tions using Textual Similarity and Visual Summarization
Reference 38
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Observation 44603f4a-5139-4440-b66b-e576214a0e4b · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Learning transferable visual models from natural language supervi- sion
Reference 39
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Observation da7bd5c2-d091-4364-9c89-0533bb6489c2 · outbound
This paper cites Training Deep Neural Networks on Noisy Labels with Bootstrapping.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Training Deep Neural Networks on Noisy Labels with Bootstrapping
Reference 40
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Source-reported events for the cited work
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This paper cites Machine- to-machine visual dialoguing with chatgpt for enriched tex- tual image description.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Machine- to-machine visual dialoguing with chatgpt for enriched tex- tual image description
Reference 41
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Observation c0650aab-dd6b-4ae0-abb1-b4db3957f01b · outbound
This paper cites Beautiful soup documentation.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Beautiful soup documentation
Reference 42
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Observation 49039ddd-dc03-4cf8-9020-a867903d4ec0 · outbound
This paper cites The gbif integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia The gbif integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet
Reference 43
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Observation 4f3a08ef-90f9-49f5-9383-2fe3ef69e819 · outbound
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EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Im- proved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Reference 44
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Source-reported events for the cited work
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Observation 883b1006-1168-43fb-8580-67071f0edd18 · outbound
This paper cites TaxaBind: A Unified Embedding Space for Ecological Applications.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia TaxaBind: A Unified Embedding Space for Ecological Applications
Reference 45
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EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 46
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50e07708-1b9d-465c-af09-1140f6731a5c · outbound
This paper cites GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfd74fdb-d527-42e2-a84d-c2a83ad2e72c · outbound
This paper cites The ebird enterprise: An integrated approach to development and application of citizen science.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia The ebird enterprise: An integrated approach to development and application of citizen science
Reference 48
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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.
Observation efac99ff-5c7c-400e-baa8-4545c704159c · outbound
This paper cites Learning to Interpret Satellite Images using Wikipedia.Proceedings of the Twenty-Eighth International Joint Conference on Artifi- cial Intelligence, 2019.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Learning to Interpret Satellite Images using Wikipedia.Proceedings of the Twenty-Eighth International Joint Conference on Artifi- cial Intelligence, 2019
Reference 49
- Resolution
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e10a7c55-054a-47ce-99e8-6a94a52d0857 · outbound
This paper cites Regional uniqueness of tree species compo- sition and response to forest loss and climate change.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Regional uniqueness of tree species compo- sition and response to forest loss and climate change
Reference 50
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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.
Observation 6445cf49-e20b-4636-b313-5f28e4301541 · outbound
This paper cites inaturalist in- sights illuminate covid-19 effects on large mammals in urban centers.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia inaturalist in- sights illuminate covid-19 effects on large mammals in urban centers
Reference 51
- Resolution
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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.
Observation 9a84945c-b741-4965-8fec-56425ca3fe0e · outbound
This paper cites SkyScript: A Large and Seman- tically Diverse Vision-Language Dataset for Remote Sens- ing.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia SkyScript: A Large and Seman- tically Diverse Vision-Language Dataset for Remote Sens- ing
Reference 52
- Resolution
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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.
Observation 98ff416a-46c7-4a47-b05a-fe3667f86035 · outbound
This paper cites MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2f195cc-9525-4a26-8f3f-5367096a3c56 · outbound
This paper cites Ecosystem type map v3.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Ecosystem type map v3
Reference 54
- Resolution
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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.
Observation 283837cd-dbba-45aa-92cb-1ee422dfc7be · outbound
This paper cites Citi- zen science plant observations encode global trait patterns.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Citi- zen science plant observations encode global trait patterns
Reference 55
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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.
Observation c1f39665-5dfd-4d6b-a987-fc626c8f93a7 · outbound
This paper cites Deep learning enables satellite-based monitoring of large popula- tions of terrestrial mammals across heterogeneous landscape.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Deep learning enables satellite-based monitoring of large popula- tions of terrestrial mammals across heterogeneous landscape
Reference 56
- Resolution
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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.
Observation 2050ba6b-bba5-41ee-9c06-43cfd273982e · outbound
This paper cites Alip: Adaptive language-image pre-training with synthetic cap- tion.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Alip: Adaptive language-image pre-training with synthetic cap- tion
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28f1a5d9-02e6-4aff-8d4a-1703e4ca01d1 · outbound
This paper cites Learning transferable land cover seman- tics for open vocabulary interactions with remote sensing im- ages.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Learning transferable land cover seman- tics for open vocabulary interactions with remote sensing im- ages
Reference 58
- Resolution
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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.
Observation 8dd6c388-1863-47b6-9a1a-a7b4f53f0204 · outbound
This paper cites mixup: Beyond empirical risk minimiza- tion.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia mixup: Beyond empirical risk minimiza- tion
Reference 59
- Resolution
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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.
Observation 2d61f380-4550-4851-b8ea-6dea8566f241 · outbound
This paper cites RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bcf5b4a-f2fc-4e6b-8f06-b7d411d05348 · outbound
This paper cites No one-size-fits-all solution to clean gbif.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia No one-size-fits-all solution to clean gbif
Reference 61
- Resolution
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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.
Observation f0ee7e34-652d-401a-8123-e89794de8d10 · outbound
This paper cites Table 4 compares the performance of SkyCLIP under vari- ous fine-tuning configurations with WINCEL.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Table 4 compares the performance of SkyCLIP under vari- ous fine-tuning configurations with WINCEL
Reference 62
- Resolution
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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.
Observation 67848cc8-722b-4f6e-8183-11b1772fb672 · outbound
This paper cites Thus, sen- tences describing their habitat are likely to be uninformative or irrelevant when paired with a given image.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia Thus, sen- tences describing their habitat are likely to be uninformative or irrelevant when paired with a given image
Reference 63
- Resolution
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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.
Observation 3a64bd4a-97d5-4c0c-b27a-f6e011fb2859 · outbound
This paper cites To select satisfying prompts for the EUNIS ecosystem classification task, we compared manually de- signed prompt templates.
EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia To select satisfying prompts for the EUNIS ecosystem classification task, we compared manually de- signed prompt templates
Reference 64
- Resolution
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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.
Observation f0b1dfb5-7854-4f47-ab19-795fabfe6c7b · outbound
This paper cites Speciesbox.
Reference 65
- Resolution
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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.
Pith citing papers
No inbound Pith citation observations are available.