Pith. sign in

Paper Citation Record · LEDGER

Mahalanobis++: Improving OOD Detection via Feature Normalization

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:2505.18032.

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

pith.paper-citation-record.v1
2505.18032 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:25.431563Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:30:14.277852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.385989Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact4
  • verified fuzzy31
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82737790-8798-48ef-b7b7-116c11e6ad66 · outbound

This paper cites write newline.

Mahalanobis++: Improving OOD Detection via Feature Normalization write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:19.962326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:19.962326Z digest=sha256:646c43328ec669fc09ced9bfd6af10d07178b02c973308c5420874c2d35d2b69

Observation dfe82aa1-ceb3-4437-b620-b98442ca34ac · outbound

This paper cites B., Belkhir, N., Popescu, S., Manzanera, A., and Franchi, G.

Mahalanobis++: Improving OOD Detection via Feature Normalization B., Belkhir, N., Popescu, S., Manzanera, A., and Franchi, G

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:20.054611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:20.054611Z digest=sha256:e24ac15ef7ca32830d60302184dedbe482a1f8d78362b8cd65480006434925b1

Observation 05cac976-c30f-42de-93dd-a4c859660cdd · outbound

This paper cites and Kamnitsas, K.

Mahalanobis++: Improving OOD Detection via Feature Normalization and Kamnitsas, K

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:20.171785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:20.171785Z digest=sha256:98e993d867d61a0cb3730da75d47d397d6cc845d0d39ceef4e121d750a9d58c6

Observation 58ed46d7-b4b6-4477-b1db-4d30afbcc0eb · outbound

This paper cites In or out? fixing imagenet out-of-distribution detection evaluation.

Mahalanobis++: Improving OOD Detection via Feature Normalization In or out? fixing imagenet out-of-distribution detection evaluation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:31.370283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.249526Z digest=sha256:3e9865f764250c9371bf85b75252c21cb44a0a1a62cd5e135ad29cac1496a814

Observation f41b7255-5ae3-4cec-9628-dd54e4f5dcb6 · outbound

This paper cites Describing textures in the wild.

Mahalanobis++: Improving OOD Detection via Feature Normalization Describing textures in the wild

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:20.356074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:20.356074Z digest=sha256:aeaedf542d5f2138660f6f56cefa43c25af6fa8060408a2781e8b4ec86abc647

Observation 4a7a970a-cbaa-4d17-bba1-90100e2e44d8 · outbound

This paper cites Extremely simple activation shaping for out-of-distribution detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization Extremely simple activation shaping for out-of-distribution detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:31.174103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.451217Z digest=sha256:fa8bae017343d301dcc7ed22c0bda8ab4cce562be84edccf51b84f8e3aacc3d9

Observation fa3ab2e0-7783-42e1-a537-f2243b074d9e · outbound

This paper cites A framework for benchmarking class-out-of-distribution detection and its application to imagenet.

Mahalanobis++: Improving OOD Detection via Feature Normalization A framework for benchmarking class-out-of-distribution detection and its application to imagenet

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:30.937862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.521024Z digest=sha256:9ef65421518a75ff2bc3e0c463b1adde2f63579b3507c4ca5d3be2d14e797841

Observation 901702ae-c71b-4024-98ce-ea6edd98418b · outbound

This paper cites Understanding normalization in contrastive representation learning and out-of-distribution detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization Understanding normalization in contrastive representation learning and out-of-distribution detection

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:26.982307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.638292Z digest=sha256:0d1a7e03dd0791d926736ff577cfb62ca64ebf25f05b9bbdec4c04c39c13c096

Observation f4dd95d0-a165-43f8-8a84-45fff9e97fbd · outbound

This paper cites an unresolved cited work.

Mahalanobis++: Improving OOD Detection via Feature Normalization Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:20.733951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:20.733951Z digest=sha256:ce8b6aecc5fa94fb30f2b304dabf3434338fb27affa2f5367ab3351482f0e848

Observation 091a0cde-eb03-44c1-b398-73f2cebbef80 · outbound

This paper cites an unresolved cited work.

Mahalanobis++: Improving OOD Detection via Feature Normalization Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:40:30.745385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.807610Z digest=sha256:f444e8e397fa7763fe292f09a3fec4894e7b55e1f2ec1720d5132b67f46eefc1

Observation fe8827ce-9052-44d1-92e0-7a77302916cd · outbound

This paper cites Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem.

Mahalanobis++: Improving OOD Detection via Feature Normalization Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:30.530879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.889351Z digest=sha256:686510bf14dd10e126ae163593babcfe341b180f9b9e343f4a0c6dcce9356bad

Observation 3ba25226-5d13-4897-a3de-7c796da39e51 · outbound

This paper cites and Gimpel, K.

Mahalanobis++: Improving OOD Detection via Feature Normalization and Gimpel, K

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:30.435952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.968133Z digest=sha256:2a10974ec9b983726d3d020bcd0c70ff4e5e8d85e223601c50e3ea7051e1a186

Observation a4062068-5289-458a-85d2-5a492051b3cb · outbound

This paper cites Scaling out-of-distribution detection for real-world settings.

Mahalanobis++: Improving OOD Detection via Feature Normalization Scaling out-of-distribution detection for real-world settings

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:30.266305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.082274Z digest=sha256:b04b0497e095fe5c6088e44ceb9e7b4944c5808aec9815ff344bf0dd083bc0b4

Observation 950beb2d-3efc-402a-b4fa-b8799d56f3db · outbound

This paper cites Oodformer: Out-of-distribution detection transformer, 07 2021.

Mahalanobis++: Improving OOD Detection via Feature Normalization Oodformer: Out-of-distribution detection transformer, 07 2021

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:30.055100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.204048Z digest=sha256:d944e43acd56801283c1347fe241a433adae56082032e679680423c6adc90633

Observation a2a06d16-be6f-498c-94d8-9009d67e2fff · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image classification.

Mahalanobis++: Improving OOD Detection via Feature Normalization Openimages: A public dataset for large-scale multi-label and multi-class image classification

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.829364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.297210Z digest=sha256:d708de922545ba5140642244cf3bae9a993cec07089052a403ecbb9f213eb4ed

Observation 29a78970-4b69-40b7-93a6-d9bde1df7176 · outbound

This paper cites Learning multiple layers of features from tiny images.

Mahalanobis++: Improving OOD Detection via Feature Normalization Learning multiple layers of features from tiny images

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:21.379767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:21.379767Z digest=sha256:26456c630faac717c8aa2af5a364168b00ccdd0034e6c95d7b49b23f50f02d40

Observation a56d50a3-044e-4758-9241-7f8948e0303c · outbound

This paper cites and Yang, X.

Mahalanobis++: Improving OOD Detection via Feature Normalization and Yang, X

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:21.455021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:21.455021Z digest=sha256:35637ad5d6198caa6506b4c3d0aaa06919c22fcccd0c06d33a4a413ba55714f6

Observation d4657043-ea7b-43d3-b310-339368223c6f · outbound

This paper cites Gradient-based learning applied to document recognition.

Mahalanobis++: Improving OOD Detection via Feature Normalization Gradient-based learning applied to document recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:21.574590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:21.574590Z digest=sha256:4e2d4681aa7d3313e4cbcf633816f235bd77d15c8a86b7cd64e4a874f668937b

Observation 4504b486-2e18-43b2-9e81-e19c52b70752 · outbound

This paper cites Training confidence-calibrated classifiers for detecting out-of-distribution samples.

Mahalanobis++: Improving OOD Detection via Feature Normalization Training confidence-calibrated classifiers for detecting out-of-distribution samples

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.632483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.664697Z digest=sha256:0dcf2a678f79ba2a7df0a8d8284479dd29a8e2cffb7426c303708330858f432e

Observation 616c231e-1ea3-43c2-b277-0a550cea6410 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Mahalanobis++: Improving OOD Detection via Feature Normalization A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.529118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.711499Z digest=sha256:fef643b2cac42dc7aa42a8062ec19ddc881c27e769957a832fa9517dec91c52c

Observation 9c2586d3-7220-4fa6-987d-00bc4a385cf3 · outbound

This paper cites and Qin, Y.

Mahalanobis++: Improving OOD Detection via Feature Normalization and Qin, Y

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.422947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.836496Z digest=sha256:232fad7ae5c2d3671d1746248581b8fab7c9e91b07c96db6bf651164755dcb81

Observation 3698c83f-dfc9-417b-8cc3-ec08c85278a8 · outbound

This paper cites SphereFace: Deep Hypersphere Embedding for Face Recognition.

Mahalanobis++: Improving OOD Detection via Feature Normalization SphereFace: Deep Hypersphere Embedding for Face Recognition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:21.924362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:21.924362Z digest=sha256:bc7c37400119742c7d7a5e102736ab6bf7783a48def24ed2f8e7c357e9fa9078

Observation 64fbfe4d-42ba-4721-b0ae-7792478303d3 · outbound

This paper cites Energy-based out-of-distribution detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization Energy-based out-of-distribution detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.335943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.041895Z digest=sha256:016d814dc2fd730f362841dd953c7b78ef1a48ec773317bfa129c0c87a577574

Observation 6470caef-2e13-43c2-b08e-055b52cd34e8 · outbound

This paper cites Gen: Pushing the limits of softmax-based out-of-distribution detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization Gen: Pushing the limits of softmax-based out-of-distribution detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.238066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.118217Z digest=sha256:03196857a2b17dafded518c8d64fc37cebe1f7bbd52aba172537acd489f060f2

Observation 46ab2a1c-346d-44af-b5dc-24a36fec54a4 · outbound

This paper cites Swin Transformer V2: Scaling Up Capacity and Resolution.

Mahalanobis++: Improving OOD Detection via Feature Normalization Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:22.207327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:22.207327Z digest=sha256:a8e165d1202a7478b006b027d202dd186b687552dffc10bb9090db8fef60bf17

Observation eef5062a-7595-463d-8938-2f5e86c13f3b · outbound

This paper cites Delving into out-of-distribution detection with vision-language representations.

Mahalanobis++: Improving OOD Detection via Feature Normalization Delving into out-of-distribution detection with vision-language representations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.124875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.314597Z digest=sha256:50d47649280ac0e21274de15461a3ed589d28526cd29978701498ec6b0e98391

Observation a764a9cd-286d-4fb3-934e-3d520121af9f · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In The Eleventh International Conference on Learning Representations, 2023.

Mahalanobis++: Improving OOD Detection via Feature Normalization How to exploit hyperspherical embeddings for out-of-distribution detection? In The Eleventh International Conference on Learning Representations, 2023

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:29.013217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.437102Z digest=sha256:22c4c16368f7c1b8290bccb54455a41f819bde9936c79cb2cc851e811c0053a2

Observation 90a5cf1a-3256-45f8-9959-6170b9a73019 · outbound

This paper cites How to train your ViT for OOD Detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization How to train your ViT for OOD Detection

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:26.760130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.546055Z digest=sha256:82d5f01af2bd126a7210af578cc2f6d7136873ef05d1e85a39fe1c413e757778

Observation bfa07372-7377-4cfa-932a-41047d3102b5 · outbound

This paper cites H., and Gal, Y.

Mahalanobis++: Improving OOD Detection via Feature Normalization H., and Gal, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.899730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.625513Z digest=sha256:86928dc86452f4047b8a2362e57ac4786ca293aa32cd825bee7507c6daec03a1

Observation eb1455d9-265c-45d0-a90b-06ba42675b53 · outbound

This paper cites an unresolved cited work.

Mahalanobis++: Improving OOD Detection via Feature Normalization Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:40:28.792843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.713705Z digest=sha256:87772817bad21f63767f9e5943b84aebdb39a0b38e2abee263ff13875bc6c03e

Observation eba3f7af-ed78-4c6f-b5b5-e0dde0353a2b · outbound

This paper cites G., and Teoh, A.

Mahalanobis++: Improving OOD Detection via Feature Normalization G., and Teoh, A

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.685010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.810998Z digest=sha256:836cd37667c522c84e47802a5ab4f856ce044d728c5d2d7c8deee2c886e691ef

Observation ab7027aa-384c-4799-b0ac-8d0681046971 · outbound

This paper cites C., Yoon, J., and Jin Teoh, A.

Mahalanobis++: Improving OOD Detection via Feature Normalization C., Yoon, J., and Jin Teoh, A

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:22.883675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:22.883675Z digest=sha256:a5113dce924da57a2395b261daac81b01f9f9ab6c3ffbea1c824e0c8f5aac66c

Observation b07af905-35fd-4289-aa64-b4fa1367ee2b · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

Mahalanobis++: Improving OOD Detection via Feature Normalization W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:22.992211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:22.992211Z digest=sha256:90fd3f49af3dfe8d394b1b3aaf21e57add1861b45837d7ef12ce4252ac737ea5

Observation 828cec6b-caf4-4708-b085-297a073a936f · outbound

This paper cites K., Stoyanov, D., and Bhattarai, B.

Mahalanobis++: Improving OOD Detection via Feature Normalization K., Stoyanov, D., and Bhattarai, B

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.564153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.127858Z digest=sha256:19eb1cb4b35b14793d69194269c9da670d74a7fbea38fa956f13949f7499c0cd

Observation afd41902-d8c4-4b79-8967-9dc60e2de417 · outbound

This paper cites A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:23.217297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:23.217297Z digest=sha256:bfe3a96a91230e85355c6ab272fbb0b4ad23b6a4e17aa10d6de084e4bb9d8de2

Observation a801aa1d-2280-4367-a33d-9ce42eef2d77 · outbound

This paper cites Spreading vectors for similarity search.

Mahalanobis++: Improving OOD Detection via Feature Normalization Spreading vectors for similarity search

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.457111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.335586Z digest=sha256:e98bca338061e795b8372ce10f3c3cbf8a29df048fa69078458d237a58d42792

Observation c685b093-65a2-4864-8358-08a74f15e18d · outbound

This paper cites Ssd: A unified framework for self-supervised outlier detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization Ssd: A unified framework for self-supervised outlier detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.358926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.460948Z digest=sha256:62a6b1efa7408428a4e797ae0dde58a71022b4862e8270c329d9c09545096800

Observation 2d32bf22-cc6f-40a8-88e5-c2b13b7e31bd · outbound

This paper cites P., Kolesnikov, A., Zhai, X., Wightman, R., Uszkoreit, J., and Beyer, L.

Mahalanobis++: Improving OOD Detection via Feature Normalization P., Kolesnikov, A., Zhai, X., Wightman, R., Uszkoreit, J., and Beyer, L

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.246126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.581373Z digest=sha256:4a6d3a926cff8e4679388cdc633085fe8f92c600fbea5c306777ff0304a43166

Observation c6d31dec-d772-449e-9357-3c625da9605f · outbound

This paper cites React: Out-of-distribution detection with rectified activations.

Mahalanobis++: Improving OOD Detection via Feature Normalization React: Out-of-distribution detection with rectified activations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:28.135868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.672180Z digest=sha256:3280044c46a1b4715cb3cf78e8046766edd5b6c004e6f76b3517609bb064e9d9

Observation e0d13251-92d5-4fed-9950-f08a30bd858e · outbound

This paper cites Out-of-distribution detection with deep nearest neighbors.

Mahalanobis++: Improving OOD Detection via Feature Normalization Out-of-distribution detection with deep nearest neighbors

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.961753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.763063Z digest=sha256:c2a7dac480d2033350c1157a03a82413a720ee1ba22d9ef0cd549b596952a033

Observation 3b4c13de-9ad9-4356-beea-004d4b9d2c2e · outbound

This paper cites Csi: Novelty detection via contrastive learning on distributionally shifted instances.

Mahalanobis++: Improving OOD Detection via Feature Normalization Csi: Novelty detection via contrastive learning on distributionally shifted instances

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.858147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.882210Z digest=sha256:41105c41623c6d24ec77619397b4602fd4838744466e3be1adf69f6bfad5495c

Observation 453932ac-aa92-4765-b293-a0425cd85386 · outbound

This paper cites Hyperparameter-free out-of-distribution detection using cosine similarity.

Mahalanobis++: Improving OOD Detection via Feature Normalization Hyperparameter-free out-of-distribution detection using cosine similarity

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.757331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.980692Z digest=sha256:f2f7efab0ec9481731d491683047b90f41ab6237be9e335466779a63bd8b62ae

Observation 3eb997f6-dc1f-41a1-b262-8cb8a99be4c5 · outbound

This paper cites Deit iii: Revenge of the vit.

Mahalanobis++: Improving OOD Detection via Feature Normalization Deit iii: Revenge of the vit

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.672457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.083265Z digest=sha256:6ff5d40f4e0b3c89f26793c2759e81e3c4df4a1557de86e4a8dbc788d603c92b

Observation e920e250-9ac4-4eed-957c-10a7d55b4fec · outbound

This paper cites The inaturalist species classification and detection dataset.

Mahalanobis++: Improving OOD Detection via Feature Normalization The inaturalist species classification and detection dataset

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.568784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.179435Z digest=sha256:db2c8655559eb0e8eedf6fd01b0c3fb6974a13f4e75070654946702ca2751e6c

Observation c43afc05-19b7-4b9b-9d66-7717533a8967 · outbound

This paper cites Open-set recognition: a good closed-set classifier is all you need? In International Conference on Learning Representations, 2022.

Mahalanobis++: Improving OOD Detection via Feature Normalization Open-set recognition: a good closed-set classifier is all you need? In International Conference on Learning Representations, 2022

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.471053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.281813Z digest=sha256:f02d4c52cb5f3e98a7a09447fb0d271357345e7d9ce09ef02dee3868c13763b7

Observation b3364385-0d71-4c01-95b0-80518b03c72b · outbound

This paper cites Vim: Out-of-distribution with virtual-logit matching.

Mahalanobis++: Improving OOD Detection via Feature Normalization Vim: Out-of-distribution with virtual-logit matching

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.358038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.397142Z digest=sha256:fd36548b14cd76bb887875e61e69fda9c31d5fbecaba9a847e7908dcefaff45f

Observation 624f374c-4538-4efc-8619-6aa5ec82c1ed · outbound

This paper cites Mitigating neural network overconfidence with logit normalization.

Mahalanobis++: Improving OOD Detection via Feature Normalization Mitigating neural network overconfidence with logit normalization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.256471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.538450Z digest=sha256:a9b569041b57e0ead1aa67f8fc7aa4fd638deb3242fb4b4c6773b379c0a4ff1d

Observation 5a21c0bd-46b4-4280-84ba-ea5f7e19f0f3 · outbound

This paper cites Pytorch image models.

Mahalanobis++: Improving OOD Detection via Feature Normalization Pytorch image models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:24.616716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:24.616716Z digest=sha256:319aaecc0e432f95e9145cbeca616971c5705643440af41ffd7a5b2d93c7b4e6

Observation 772b4dbe-d10a-4391-b2f3-348acdb043ab · outbound

This paper cites an unresolved cited work.

Mahalanobis++: Improving OOD Detection via Feature Normalization Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:24.720506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:24.720506Z digest=sha256:148a9efe74c35f07008566ae4b4b00d886f15f7ab8a0ccf8483b3823a4ede7fa

Observation 9c340e9d-7bb0-4343-a145-7ed149a86112 · outbound

This paper cites ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.

Mahalanobis++: Improving OOD Detection via Feature Normalization ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:24.811478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:24.811478Z digest=sha256:a1a055f0c42ae43774ed2e705d400351794632a083b82489ca4c663640aca961

Observation 3a4c49d6-02a2-4ac7-a3fe-8109ba404f1f · outbound

This paper cites OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

Mahalanobis++: Improving OOD Detection via Feature Normalization OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:40:26.472567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.913676Z digest=sha256:7a1d8c5e9d942bdb384661ac0d403310f67aff2e825285b8523c6d3eaacdb18d

Observation 97df6245-0c6c-4d48-b2a9-709aa54cf2ee · outbound

This paper cites Neural collapse with normalized features: A geometric analysis over the riemannian manifold.

Mahalanobis++: Improving OOD Detection via Feature Normalization Neural collapse with normalized features: A geometric analysis over the riemannian manifold

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:40:27.151468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.032057Z digest=sha256:b814561e005d0e68e585c3e94658569cb34c0a0415b804d730a43de0ef494277

Observation 4cfea677-b615-47e9-8295-adbe5950b0f7 · outbound

This paper cites an unresolved cited work.

Mahalanobis++: Improving OOD Detection via Feature Normalization Unresolved cited work

Reference 53

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:40:26.271030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.131238Z digest=sha256:6701a681c2369c4fa6a41e4a47ed0fdcfc4bbb6a3c61da8525bf27956f4e2d2e

Observation 05e20f2c-7406-482f-972a-870f1f232aed · outbound

This paper cites Anomaly detection for high-dimensional space using deep hypersphere fused with probability approach.

Mahalanobis++: Improving OOD Detection via Feature Normalization Anomaly detection for high-dimensional space using deep hypersphere fused with probability approach

Reference 54

Resolution
verified exact
doi, observed 2026-08-07T14:40:25.682398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.215284Z digest=sha256:3f6a3906ccddd70bb6b8a5529d6aa82b7cea3f82689165ca569710ed11d8b583

Observation 3a97fd66-afd2-4f0e-a574-2707c7bb3a5e · outbound

This paper cites Places: A 10 million image database for scene recognition.

Mahalanobis++: Improving OOD Detection via Feature Normalization Places: A 10 million image database for scene recognition

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:25.319404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:25.319404Z digest=sha256:1744aeb9c7b0beb713aa7fa742aa2d27e836b1b46e6ce8d278e30b95f33a14cf

Observation 367d7ad5-db52-4bc6-b26a-6f849e762ea4 · outbound

This paper cites M., and Ou, W.

Mahalanobis++: Improving OOD Detection via Feature Normalization M., and Ou, W

Reference 56

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:40:25.979365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.431563Z digest=sha256:98b6ce16b991e41f1b1cf78691fbf598a0d0af77641383bd58ac1de1483e90a5

Pith citing papers

Observation c1b75fa5-9bf2-4bc7-91e8-aa4ecdab86fb · inbound

Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection cites this paper.

Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection Mahalanobis++: Improving OOD Detection via Feature Normalization

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:21:25.518989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T11:26:20.416828Z digest=sha256:ac7dc2630fe3ae03952edf4d4d3429f91ae1dff2fb6020770d473716fe9e2ad0

Observation 460b1b83-82f1-4fcf-98aa-07f205ca9fa1 · inbound

Surviving the Unseen: Predictive Defense for Novel Multi-Turn Multimodal Attacks cites this paper.

Surviving the Unseen: Predictive Defense for Novel Multi-Turn Multimodal Attacks Mahalanobis++: Improving OOD Detection via Feature Normalization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:08:09.481754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T09:07:47.278074Z digest=sha256:75f1a6ad731cda88097fe40da6477934e39440519a6492b81d6248457da62887

Observation b792a0df-6280-459a-99c7-f5e991c21f97 · inbound

Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection cites this paper.

Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection Mahalanobis++: Improving OOD Detection via Feature Normalization

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:42:49.387449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T23:42:01.927845Z digest=sha256:0dee59a2a637a434d1de8a1e2db4ce87dfc5898617d3b52a8acb2b590b627bc9

Observation 417b084a-b48d-4cd5-b1b9-7c94448ea68b · 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 Mahalanobis++: Improving OOD Detection via Feature Normalization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T05:30:14.277852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:30:14.277852Z digest=sha256:8c65ca8020d869919fdc1162bec9df124082239f5715358aa525c1e7d4d66b94