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Paper Citation Record · LEDGER

Unsupervised Feature Learning in Remote Sensing

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:1908.02877.

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

pith.paper-citation-record.v1
1908.02877 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:35:25.856954Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c50da6c-4a24-4d1f-b881-1a63fc3dc13c · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Unsupervised Feature Learning in Remote Sensing Imagenet classification with deep convolutional neural networks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.115253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c58a8175-b2d5-41a2-87a3-a8f6f82b82bc · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

Unsupervised Feature Learning in Remote Sensing ImageNet: A large-scale hierarchical image database,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.099637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 98580f2a-1a23-435f-a091-69a909653715 · outbound

This paper cites Unsupervised feature learning via non-parametric instance dis- crimination,.

Unsupervised Feature Learning in Remote Sensing Unsupervised feature learning via non-parametric instance dis- crimination,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.083990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.796721Z digest=sha256:7fe1591edea6cba3b038eb4d189db21cd30caa196e15c5b6dc918f196aa72cc5

Observation ee4645ae-af0d-4d3e-9a43-cf156be659c8 · outbound

This paper cites xView: Objects in Context in Overhead Imagery.

Unsupervised Feature Learning in Remote Sensing xView: Objects in Context in Overhead Imagery

Reference 4

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unresolved
no resolver link, observed 2026-08-14T14:35:25.801561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:35:25.801561Z digest=sha256:43a708f8e3038cf3e6c920cad79c3301795932d283e62ea198e6f519c3aa3415

Observation 61030a59-b940-4464-9892-4c48861391be · outbound

This paper cites DIUx xView 2018 detection challenge.

Unsupervised Feature Learning in Remote Sensing DIUx xView 2018 detection challenge

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.069234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.806739Z digest=sha256:d534ad1971517039e1edda45956451fd5efde982eeae2fee5a86e72ab6d5ae5e

Observation 9abb6645-f3cf-4683-907c-07e7021b410c · outbound

This paper cites Microsoft COCO: Common objects in context,.

Unsupervised Feature Learning in Remote Sensing Microsoft COCO: Common objects in context,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.053921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.811768Z digest=sha256:627e373a277af5bc396d58a8a844eba2bf2ecb63d2eee7c1f8d02e349081045c

Observation 9c96a8af-ece6-4ec1-8c3a-235e3334997a · outbound

This paper cites Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery.

Unsupervised Feature Learning in Remote Sensing Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T14:35:25.817978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:35:25.817978Z digest=sha256:88a1551b76662f6bd4303cb56db2b167c6532450610d6e503e587e79457fb4cd

Observation f81f5210-7dd2-4d28-b346-591bbb425e90 · outbound

This paper cites Focal loss for dense object detection,.

Unsupervised Feature Learning in Remote Sensing Focal loss for dense object detection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.038503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.822782Z digest=sha256:ad0bacd2f9280dedac07c8193be492b048f4454de3aa22666782cb7ccf277f6e

Observation e940c627-ed4a-4df7-9c53-17b3c0376134 · outbound

This paper cites Non-contrastive estimation: A new estimation principle for unnormalized statistical models,.

Unsupervised Feature Learning in Remote Sensing Non-contrastive estimation: A new estimation principle for unnormalized statistical models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.022125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.827513Z digest=sha256:bd603c8190466cd5f1e8a7e63304a6755e93fbaad41e81dc5912ad332020e35a

Observation 19b6a8c4-80df-4319-9135-1c6d69e45742 · outbound

This paper cites Recent Advance in Content-based Image Retrieval: A Literature Survey.

Unsupervised Feature Learning in Remote Sensing Recent Advance in Content-based Image Retrieval: A Literature Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T14:35:25.832037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:35:25.832037Z digest=sha256:910a253e385ebf21c1773b41f0a4610d4cc85b1596c971e6fd57b2a6b2c725fa

Observation 4247c5be-b669-47a1-a793-46112aea3e04 · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification,.

Unsupervised Feature Learning in Remote Sensing Bag-of-visual-words and spatial extensions for land-use classification,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:26.004724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54c083ee-ef70-4d28-bf80-66d7320f3924 · outbound

This paper cites UC Merced land use dataset.

Unsupervised Feature Learning in Remote Sensing UC Merced land use dataset

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:25.989467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.842521Z digest=sha256:60ce2f5fad2e2f18b3ec730edb971a3e2a7a6fbf143d2a7766bbe2d5394fcf11

Observation 3708a63b-3bb5-46cb-b364-48a2d7d303c1 · outbound

This paper cites Visualizing data using t-SNE,.

Unsupervised Feature Learning in Remote Sensing Visualizing data using t-SNE,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:25.974259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.847328Z digest=sha256:e725ad33784a165a4717383e0498b7e0873e47b7de6431f82c031ec6db30da03

Observation fca245ee-8c15-4c6a-ad2e-cfd927d62d19 · outbound

This paper cites Fellbaum, WordNet: An Electronic Lexical Database , Bradford Books, 1998.

Unsupervised Feature Learning in Remote Sensing Fellbaum, WordNet: An Electronic Lexical Database , Bradford Books, 1998

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:35:25.958969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.852179Z digest=sha256:561ce5c34bc13b127d554a99ddb33b1a5a4b50daee840e87ec2abf9c1e865ad6

Observation 7ac2ab5c-f98c-4492-9844-1cdc0b44b783 · outbound

This paper cites Improving performance of multiclass classification by inducing class hierarchies,.

Unsupervised Feature Learning in Remote Sensing Improving performance of multiclass classification by inducing class hierarchies,

Reference 15

Resolution
malformed identifier
raw_fallback, observed 2026-08-14T14:35:25.942820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:35:25.856954Z digest=sha256:b5d9f4816dfe3acbecb2aed21486ae54d3411f5327d065559b86dfa5ca56159a

Pith citing papers

No inbound Pith citation observations are available.