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Paper Citation Record · LEDGER

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.07253.

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

pith.paper-citation-record.v1
1908.07253 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:28:25.428620Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

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  • verified fuzzy15
  • unresolved5
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51cec089-cca6-4439-a48f-aa625b907381 · outbound

This paper cites Pushing the Boundaries of Boundary Detection using Deep Learning.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Pushing the Boundaries of Boundary Detection using Deep Learning

Reference 1

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no resolver link, observed 2026-08-14T12:28:25.053358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9cf31408-cf91-474f-a235-8b742358137a · outbound

This paper cites Surpassing human-level face verification perfor- mance on lfw with gaussianface.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Surpassing human-level face verification perfor- mance on lfw with gaussianface

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation dd6dc219-1631-4fdf-b4b7-c89419a66f48 · outbound

This paper cites The limits and potentials of deep learning for robotics,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error The limits and potentials of deep learning for robotics,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T12:28:25.782349Z

Source-reported events for the cited work

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Observation 4c768dad-a62c-44b3-90cd-69d80e147d40 · outbound

This paper cites The limitations of deep learning in adversarial settings,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error The limitations of deep learning in adversarial settings,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 338f87ad-d319-47e0-aae5-6e32d7628c9c · outbound

This paper cites Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Reference 5

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no resolver link, observed 2026-08-14T12:28:25.151554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b530691-c35c-47c4-b882-a2dcd3d2b0eb · outbound

This paper cites Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9871c524-1b36-4b00-b320-00e5c79d51b0 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38c9c480-d90c-41ee-9b42-a79334ab4088 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d49572e1-1586-4853-8558-06b9b7c780a3 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error What uncertainties do we need in bayesian deep learning for computer vision?

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6ae7f59a-6257-4daf-8e38-3f7f44925b46 · outbound

This paper cites A Quantitative Evaluation of Confi- dence Measures for Stereo Vision,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error A Quantitative Evaluation of Confi- dence Measures for Stereo Vision,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6dce9fd2-ad34-4e82-8b3c-94869b3220ea · outbound

This paper cites An overview of methods to evaluate uncertainty of deterministic models in decision support,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error An overview of methods to evaluate uncertainty of deterministic models in decision support,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a488f3b8-dcd0-4783-a93d-80554f1cb580 · outbound

This paper cites Probabilistic forecasts, calibration and sharpness,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Probabilistic forecasts, calibration and sharpness,

Reference 12

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no resolver link, observed 2026-08-14T12:28:25.183391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c633113c-aa80-412f-8e42-3bea9d017928 · outbound

This paper cites Strictly proper scoring rules, predic- tion, and estimation,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Strictly proper scoring rules, predic- tion, and estimation,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7d5a1989-1306-4ab6-be3f-7cb3bae91237 · outbound

This paper cites Probabilistic backpropaga- tion for scalable learning of bayesian neural networks,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Probabilistic backpropaga- tion for scalable learning of bayesian neural networks,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation da479749-ec7d-4afe-9eda-1d2ad6c0acf1 · outbound

This paper cites Fast unambiguous stereo matching using reliability-based dynamic programming,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Fast unambiguous stereo matching using reliability-based dynamic programming,

Reference 15

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8cf80918-6b50-450e-b234-02a05cb2f666 · outbound

This paper cites Evaluating predictive uncertainty challenge,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Evaluating predictive uncertainty challenge,

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b37bd198-b81b-428b-aa44-1c5237b3456a · outbound

This paper cites Accurate uncertainties for deep learning using calibrated regression,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Accurate uncertainties for deep learning using calibrated regression,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-14T12:28:25.550127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9de0124e-39e8-4f1c-9f8b-0ca29e6f63ca · outbound

This paper cites Bagging predictors,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Bagging predictors,

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 79aaf801-6c91-480c-8eb5-352961b60e2f · outbound

This paper cites Snapshot ensembles: Train 1, get m for free,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Snapshot ensembles: Train 1, get m for free,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 53e30d45-0060-4186-9e01-2b31a4523cbd · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Indoor seg- mentation and support inference from rgbd images,

Reference 20

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Source-reported events for the cited work

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Observation 063428af-f45c-44cc-8238-7ba355756716 · outbound

This paper cites Deep multi-scale architectures for monocular depth estimation,.

n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Deep multi-scale architectures for monocular depth estimation,

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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