Paper Citation Record · LEDGER

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.10115.

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

pith.paper-citation-record.v1
2412.10115 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:24:32.267072Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 fuzzy9
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dd012ae-263c-429c-929e-48b45ef8149a · outbound

This paper cites The results are shown in Table 6.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection The results are shown in Table 6

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.334212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f729c29-1402-403e-93b8-e5d179ffad67 · outbound

This paper cites The results are shown in Table 7.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection The results are shown in Table 7

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.328485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b62a0b29-9604-4d71-8f9d-d61650ab1e2f · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.233024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b69e5d9-e29a-44a4-83ba-49ef34d9ac49 · outbound

This paper cites In International Con- ference on Pattern Recognition, 475–489.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection In International Con- ference on Pattern Recognition, 475–489

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.357312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b369e864-dd7a-4d06-bd89-8d0952a25c1e · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.242160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af28dcc-6343-430c-b74c-0bbbe4163731 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Adam: A Method for Stochastic Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.244902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb57c3b-6b05-4d2b-9089-cad2a2b4e051 · outbound

This paper cites Domain Generalization with MixStyle.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Domain Generalization with MixStyle

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.255775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f47e53-1c14-4a22-9266-8880766e01fb · outbound

This paper cites The one-class novelty detection results on CIFAR-10 are shown in Table 8.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection The one-class novelty detection results on CIFAR-10 are shown in Table 8

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.321291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 773d97f4-1184-4203-9f0a-917ac7e63926 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 450

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.247254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292d1147-0ac4-4ea8-817e-2f9adf53498a · outbound

This paper cites 2009) to ex- pound the results presented in the main paper.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection 2009) to ex- pound the results presented in the main paper

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.341420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36819db4-be18-47db-9beb-071a3a484ec3 · outbound

This paper cites In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 9592–9600.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 9592–9600

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.385944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c7ff04f-3da7-4d42-a039-71769031ad11 · outbound

This paper cites In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 4183–4192.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 4183–4192

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.376076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83197590-868f-435e-bff7-fafdc5712236 · outbound

This paper cites In In- ternational Conference on Machine Learning , 2546–2558.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection In In- ternational Conference on Machine Learning , 2546–2558

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.367590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e01c7f09-0e19-4847-a471-d55ab4943b80 · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:32.250135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b468da9-3c09-4c1b-9b12-9df3501c4317 · outbound

This paper cites In Proceedings of the IEEE/CVF International Conference on Computer Vision, 6782–6791.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection In Proceedings of the IEEE/CVF International Conference on Computer Vision, 6782–6791

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:32.349057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.