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Paper Citation Record · LEDGER

Deriving a Quantitative Relationship Between Resolution and Human Classification Error

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.09183.

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

pith.paper-citation-record.v1
1908.09183 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:22:56.798827Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

21 of 21 outbound references displayed

  • verified exact7
  • verified fuzzy10
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae7256c3-8885-4941-93d8-ca7851944cb6 · outbound

This paper cites V-NIIRS fusion modeling for EO/IR systems.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error V-NIIRS fusion modeling for EO/IR systems

Reference 1

Resolution
verified exact
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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.

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Observation a3bf7df9-fdcc-4006-a11e-1727bea09ead · outbound

This paper cites How Many Pixels Do We Need to See Things?.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error How Many Pixels Do We Need to See Things?

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.326814Z

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.

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Observation 1a446ee5-8a3b-480f-aebd-72ece2fe1fbe · outbound

This paper cites Imagery Resolution Assessments and Reporting Standards (IRARS) Committee.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Imagery Resolution Assessments and Reporting Standards (IRARS) Committee

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.316230Z

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.

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Observation 98b3f8cc-1693-46c4-911c-c47755128272 · outbound

This paper cites Advanced investigation of HRA methods for probabilistic assessment of human barriers efficiency in complex systems for a given organisational and environmental context.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Advanced investigation of HRA methods for probabilistic assessment of human barriers efficiency in complex systems for a given organisational and environmental context

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.305158Z

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.

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Observation ddcfd4c4-0a77-42fb-bba6-152653ed2b3e · outbound

This paper cites Application of the ITIQUE Image Quality Modeling Metric to SSA Domain Imagery.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Application of the ITIQUE Image Quality Modeling Metric to SSA Domain Imagery

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.292580Z

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.

source=pdf_text observed=2026-08-14T11:22:56.738240Z digest=sha256:7d62d9851a71d92aabd7e2b893d1db4df2fe712b792ee96ff8bad5af7a84f72d

Observation a667278c-92d7-4374-8dd8-c086b7bdb796 · outbound

This paper cites Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:22:57.128689Z

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.

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Observation a36b0f71-9f6c-4be7-a304-beaa3ab6bde4 · outbound

This paper cites Who Said What: Modeling Individual Labelers Improves Classification.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Who Said What: Modeling Individual Labelers Improves Classification

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.277539Z

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.

source=pdf_text observed=2026-08-14T11:22:56.746485Z digest=sha256:0b4c8864c057ecc61892c59ced1963d0ed42ffe20b0f400ce2103f36a2acaa28

Observation 30953b61-227c-473e-906a-b8cda54a5550 · outbound

This paper cites Handbook of Machine and Computer Vision: The Guide for Developers and Users.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Handbook of Machine and Computer Vision: The Guide for Developers and Users

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.265940Z

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.

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Observation 316e5e0e-b1cf-4d37-951d-34148acb7896 · outbound

This paper cites National imagery interpretability rating scales (NIIRS): overview and methodology.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error National imagery interpretability rating scales (NIIRS): overview and methodology

Reference 9

Resolution
verified exact
doi, observed 2026-08-14T11:22:56.871079Z

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.

source=pdf_text observed=2026-08-14T11:22:56.754491Z digest=sha256:8e59ce0cddd70a62435df0969bfe91d7d15b034ada7fc5a68b2ff30294d65019

Observation 991cce28-fa36-4374-aa7a-8b7c34172490 · outbound

This paper cites Quantifying interpretability for motion imagery: Applications to image chain analysis.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Quantifying interpretability for motion imagery: Applications to image chain analysis

Reference 10

Resolution
malformed identifier
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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.

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Observation 5ea7c584-698a-4a2e-b4c7-c9750fc65161 · outbound

This paper cites Tailoring image compression to mission needs: Predicting NIIRS loss due to image compression.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Tailoring image compression to mission needs: Predicting NIIRS loss due to image compression

Reference 11

Resolution
verified exact
doi, observed 2026-08-14T11:22:56.859496Z

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.

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Observation 08118e28-71c0-4dc4-ba43-0cf2b8e0de4f · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 12

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T11:22:57.044583Z

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.

source=pdf_text observed=2026-08-14T11:22:56.765848Z digest=sha256:b6d24ea4520a8fb068fee13ac215ba5c52fcb09fc9500dddb00de0c81aa983c6

Observation fc2e5155-8902-46c8-af90-84143ad0fa8d · outbound

This paper cites Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.254051Z

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.

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Observation d1f42937-2b07-4f88-8afa-58db70ab90ee · outbound

This paper cites Learning to Label Aerial Images from Noisy Data.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Learning to Label Aerial Images from Noisy Data

Reference 14

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T11:22:56.972551Z

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.

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Observation eb0e0599-585a-45ab-9c98-41b2bad12bcd · outbound

This paper cites AI Transformation Playbook: How to lead your company into the AI era.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error AI Transformation Playbook: How to lead your company into the AI era

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:22:57.228111Z

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.

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Observation f5f15810-2c2a-4f66-9186-a464d15fe387 · outbound

This paper cites Deep Learning: Structuring Machine Learning Projects.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Deep Learning: Structuring Machine Learning Projects

Reference 16

Resolution
verified fuzzy
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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.

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Observation a995381b-95dd-4598-9ad8-84aa759065bc · outbound

This paper cites Comparison of two common aerial reconnaissance image quality measures.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Comparison of two common aerial reconnaissance image quality measures

Reference 17

Resolution
verified exact
doi, observed 2026-08-14T11:22:56.847444Z

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.

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Observation defe66c6-be47-4051-b6d5-1a3ffa1869c8 · outbound

This paper cites Evaluation of the interpretability of satellite imagery obtained from open sources of information.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Evaluation of the interpretability of satellite imagery obtained from open sources of information

Reference 18

Resolution
verified exact
doi, observed 2026-08-14T11:22:56.833703Z

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.

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Observation 63d1add1-8c81-499a-a26e-01429b8e5c4a · outbound

This paper cites Deep Learning for Image Super-resolution: A Survey.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Deep Learning for Image Super-resolution: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T11:22:56.794771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b934758-0e26-4ea0-b130-d17112f1b625 · outbound

This paper cites Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation

Reference 20

Resolution
verified exact
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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.

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Observation 2c34e076-41c8-47f5-a46f-5e6be02dc98a · outbound

This paper cites cv - foundation.

Deriving a Quantitative Relationship Between Resolution and Human Classification Error cv - foundation

Reference 2939

Resolution
verified fuzzy
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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.

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Pith citing papers

No inbound Pith citation observations are available.