Paper Citation Record · LEDGER

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1812.02765.

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

pith.paper-citation-record.v1
1812.02765 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:45:43.458824Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-16T22:31:19.437413Z

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 19284d63-8152-49b9-90f5-1e7cb5e78f5a · inbound

Safety Monitoring of Machine Learning Perception Functions: a Survey cites this paper.

Safety Monitoring of Machine Learning Perception Functions: a Survey Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:43.458824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c3ae20-c890-4fe0-a9a8-92417b9c2f43 · inbound

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection cites this paper.

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T16:19:59.498878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70aa4591-a38b-49ad-9c2b-0cec8eb80d07 · inbound

Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation cites this paper.

Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:40:08.130172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2fe857-c270-4710-bea8-9a7735e8375c · inbound

Autoencoders for Anomaly Detection are Unreliable cites this paper.

Autoencoders for Anomaly Detection are Unreliable Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:37:16.670128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf98e38b-5b06-46ae-9131-cf302a61715b · inbound

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection cites this paper.

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:09.532884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4d4268-bd4c-4a98-ab55-86cce5e37496 · inbound

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories cites this paper.

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:53:50.701826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788ba62a-808c-44f2-a66c-7f090895dfdc · inbound

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned cites this paper.

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:28.410900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e078fa69-1e30-40d0-86b6-e2373713b9c3 · inbound

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring cites this paper.

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T22:31:19.439367Z

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 57da3e22-75ca-4196-a819-62c51daf004d · inbound

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning cites this paper.

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:01.483751Z

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 d5d8dce6-b7a8-4a79-8d38-248de5db8419 · inbound

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing cites this paper.

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:21:26.079382Z

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 150dcba7-da8d-4a1a-a867-dfd67f4d7360 · inbound

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:15.103228Z

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 2e110b2c-dbde-4906-82fc-e89c0c836a48 · inbound

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning cites this paper.

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:41:49.339376Z

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 42d58488-6e80-403c-8c3e-08da69bb5ee2 · inbound

Fine-Grained Open-Set Fault Diagnosis via Metric-Guided Time-Frequency Configuration Selection and Class-Specific Autoencoders cites this paper.

Fine-Grained Open-Set Fault Diagnosis via Metric-Guided Time-Frequency Configuration Selection and Class-Specific Autoencoders Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T05:30:14.153406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.