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Paper Citation Record · LEDGER

Mahalanobis++: Improving OOD Detection via Feature Normalization

As of 17 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 2026-08-16T06:30:59.297886+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:c2e56fbf744c6e8508e20be19cdcd230327fdac2e987417210aa7d5b52404c98

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

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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=sha256:8979171034c529cd12d6efdd3fdc0d3e53ddb671f78130dda83f18c1acd2eabe

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

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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:a593eb8a1414089bb1969d66a780de231ea951c19c0223af3c49f358dc3ed330

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
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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.

source=arxiv_source observed=2026-08-07T14:40:20.249526Z digest=sha256:7f0f2a53b4a1a5812456fd2117f5f9fb294b3456edc2a2bdcfeb7a62992a1f92

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

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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:e291059ace2a1d370cc6b0aa819d981ed85605e4a7c6ddc346049fd0c4633392

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.451217Z digest=sha256:63598f79c9e984629e0e07828de4811305bf395772d30e115b31666c1bbbe1dd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.521024Z digest=sha256:7f87102620ee81df256ecfcd2a4531c4de1a37f9343d553654020af6d46f2fed

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.638292Z digest=sha256:7d0aba62fb62d9fed9525ef81ab851e70e0c475ea8dcfdbdf0236818f3caeb83

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

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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=sha256:8d4d5135547735ec3cce48076876c3ed22b97578ddf4da4c02261d4794bcd76c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.807610Z digest=sha256:f027f9987542a778a0ada4702f14a72f4965ef71acc9227b081394bc2bdc021b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.889351Z digest=sha256:f64b6c63e665d9bcf0a476758a6b3066818a130a1c8a0ba3d28a09c82149b161

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
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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.

source=arxiv_source observed=2026-08-07T14:40:20.968133Z digest=sha256:626357e341fdb5bb441cefac15b9086cabc1f1262e1264a5487fb167514d89a8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.082274Z digest=sha256:5b6100b3575e5775dd269cc08b1a6c5d5a11f08855ecfc2768db6b0c1b865825

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.204048Z digest=sha256:8d6002c21287f326fd49f7dd240033993fca85038f8d0be02211f7683d31dd01

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.297210Z digest=sha256:fafdde534b8f5696d259541c6cb923a71186a12c1434172b947e8a2a5242dbf1

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

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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=sha256:548d5cb87b06dc4e2b76999e61b4e2443f3e346087d75a1f7d42c493fc6dd9f3

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:f90fd34fb145a8f2cf18e91efff29764f5831c143136a161d710890153772e22

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=sha256:3c053accf53f1e8557a12365df2cd994c8f747f7fbe98d96c19b99f0d47446cc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.664697Z digest=sha256:e4c0caf09de2f5d26113123425360590c20014b621c485a44342439e8d90ecca

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.711499Z digest=sha256:5b3404a4caae732a6d06c074606436305230c0a5df0ef9fa0e7eefe330907073

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
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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.

source=arxiv_source observed=2026-08-07T14:40:21.836496Z digest=sha256:5b38ab35f3b07bdaae1f3b40727f3f9b532313dc2956545a43776d03c6a6ce74

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
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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:b7e11445221d859fd98fdbb1c2befb0398849d63519e40876f820994985a9949

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.041895Z digest=sha256:68389a6f42841f5691934701196271ba1db0f02732a32c3b2351e669459b1e69

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.118217Z digest=sha256:d5adc0c943afa9d796980088ba885570e1a38fe7f62b88680268fe4c4c965aa6

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:f6834f95da46d50fc0ab80125bc1d6399933ee7dcd0ace350e23452ebe4ccda2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.314597Z digest=sha256:c65b60b42960a510bfc72b533ade9c83aa21df0e6f65541ad6f925b6bef3de95

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.437102Z digest=sha256:e8a7eb10d842c15ff0deaf829ed08715d3d0392c7ecba4fff2811ce309b2e3f9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.546055Z digest=sha256:23b6334407762309a3fa0644a5c3c5ecce36371bfe9235708b5454d46aa271ef

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.625513Z digest=sha256:18aa0a9566ce67fa9a28e3b13504d663590c9176daf3ffb58f4b40019b30f87e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.713705Z digest=sha256:d1705dced3e4247ff7ff9e6439039dd58aec2da9e8b7bc369374659420d871d6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.810998Z digest=sha256:8013a701c32fc53cbf7d1e0720b488b4d8775f1529d14bcff0560a1e39eb0dae

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:b11e788f41a16beebe2f65a83c9bdb48a0ccb9ea32a6475f6019845f9cf4049b

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

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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=sha256:1d8edcba775faf240a94a30737304947ba3ba06a1ce00c62871a19c4a77c73e1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.127858Z digest=sha256:eb4a61733766e564e9fc18834e5c709ee67ec9c987f9fed4f94de76f5809f134

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=sha256:3144249dc80e2a802dfd1d5be09638dd2d56f00d6d47fe73950e01193097a73b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.335586Z digest=sha256:29c2ebeb9215babea16911121058db44c3dd8352be4830d8da296a33a8d0290f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.460948Z digest=sha256:2e967986e4d197b6e2fd89a2e33731b2f053cc65e2ba421d5321ca7df515f28d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.581373Z digest=sha256:6aa80b02830eb75911f85ee2d7fde891974f1bd848a3067af52f0f1ff268a06b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.672180Z digest=sha256:6546e949fc199049cdce0ad8801f774e1a1e529b0bdf783d9fdc118c2593b91c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.763063Z digest=sha256:faca86ec1900f27c2711bd9cb98e95990e7a665b756c74b0e3b5728782609142

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.882210Z digest=sha256:eb374eab43abd587e066d0d97b7bad9b6a6dcf4b25096b1fa0a28d0d592e70e7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.980692Z digest=sha256:7d2b57bd37faf1396cf797a7a803d19fd54d4628a01c56a5483976528a1c9678

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.083265Z digest=sha256:7dd0ea8acd8e984274af7ab73aad2ad6cf4585b61ac3c15d5185d252d9b2e4b9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.179435Z digest=sha256:f6443a2f35a1c9311702d65acc8147a2bea6f7bad002885567e882884450908a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.281813Z digest=sha256:a87a5fd68b5cca62478250b30e8a4b105798ad053931bc34fdf63943b5fdd54c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.397142Z digest=sha256:c5ab4e71294759b209c8a76fc20cd6c4ed705c88bd14ecd17ef72afe8821f53e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.538450Z digest=sha256:3828c29c70f553654edd402316abe5b2052f977bf7a02a5a51029ff010fa53dc

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=sha256:8f95869b07c686a398475fbeca929b07db7868f47d711b680d8d1a945b177dc7

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:d892986b42536c7687854a7045ba7f4eebe138f235414008ba46a550be4cb9dd

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=sha256:67f78a8bea65305131ffd4d745a3a7a496f66f315863a2aaef61e1e1866933db

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.913676Z digest=sha256:514245306e50b106a6d3de1ba36d18599caf1f032f59262bbe3566d51fa5945b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.032057Z digest=sha256:69b6a9bf0050b736dd48f5b371b694b1cd6cef9d4bd39f2afbcad9d971ca76b3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.131238Z digest=sha256:bd2b299815fcedfd2cf71eb2a8f96741815711a51a73f4e7b9f034b066aaa59a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.215284Z digest=sha256:c00f5087b5d6d16bac98139a35b8984693e76f695f4727294e59914ae6bcd4f2

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:c31a54f1acfab3dfa2f9f4b3dd8982c1a855458450df3a5bacb29c4b16cc63c7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.431563Z digest=sha256:539305eab2267ba21c28f8b43b5a7f08eb7d779b2dee41b802fce81eea3e6c1f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T11:26:20.416828Z digest=sha256:6e8df6202c998c4c555e55db453aa027297262b5048124672689b13b528c1533

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T09:07:47.278074Z digest=sha256:86544ecfa272c955b6072ea66fa5e469b206ce7d77959af304fbe9e26b25c02b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T23:42:01.927845Z digest=sha256:24030b93e2c3e180542915535091ccf51390a6d9d5729cc8d5194eb68a86a26d

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=sha256:5ef488708c268ac20be7d54641c9eb6482319d8982f3bf6b12416605f179505f