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Paper Citation Record · LEDGER

Mahalanobis++: Improving OOD Detection via Feature Normalization

As of 8 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 2026-08-08T06:32:00.761636+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

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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:df104c20e9502f06f00673390ec6752175f1ed9dd3adbafddc48428a9caaea75

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:b8b64b7029451122e228f4a268025244df491c84799ea22dd6ef42e6ba660933

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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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=sha256:2d11e694b9bf1ac138fe490087f0f3f4ad79bba3fc34a23f7d6b171ede64d696

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.249526Z digest=sha256:8f41f237e8e8a7b116331b2030ba3ed7fddf802cd75f3afc8e704ced8050561f

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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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=sha256:214e3463c19b5db55f019c2ae50b07ae4ba9146283f9c44d5949b91814a84da3

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.451217Z digest=sha256:813418fba329ce9ea9fad1a3d9676aa27d68a719a969b51229f1abbbc819dc21

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.521024Z digest=sha256:78a5d1cbfc171137063dddcf6388f09ff25a39e7e7b5adecd69cf9d36a40fd47

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 2026-08-08T06:32:00.761636+00:00.

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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=sha256:589517d15fa503d87593b873470df83915983d0b41bc9edc7145b99f18674dbf

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.807610Z digest=sha256:011cfd904c54f516ad965cebbe5d7e1d020f3082cd4b7d8f955b8734be7f9672

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.889351Z digest=sha256:89f358e8a82f344f0add2f8657cb992ec9dffc4bca1b86b975dbc993597d467c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:20.968133Z digest=sha256:bc47210dbeb1f258c1700ed0a0cadbf431af52f943f87a3265624a7ebabb1d76

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.082274Z digest=sha256:7759245d1e0c87f7de8ad60d1f23424f54ea29755fb92c8fd976cdc02acf0ec6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.204048Z digest=sha256:91e23f95260ee1efad696657c8b348efe286ee5d0e6ec42996b983f32d079b4b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.297210Z digest=sha256:a97204df48859cec773118ef6f7818d188ab5d104eedcc7a4e58da47831f6927

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=sha256:0f723cc50610102e04e0c402fbf49a5c22e2dd104c14894307b458a15c7996e3

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=sha256:0975ddc92631e224a08ac1554393bbc3190053952e60aa98b0104a3b5f335a72

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

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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:fedc1eda08323958e4f3ccbf54632797817e66bd10a4f98c6a557d01b17ac273

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.664697Z digest=sha256:6df7fbfbdb8bd324c1cb3a4a72e6579dcf95f99beff549b02092a82dd378cf34

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.711499Z digest=sha256:6ffc71d6b97a078e40322f70698bbeae293eb9f0f0df0efdf5f68687fff41c4d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:21.836496Z digest=sha256:8e26d6f1ef9c33aaf0c8c5624f4feb52cce1e9ea14c8f50801320eb64d3088c6

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:40:21.924362Z digest=sha256:4c8a1ada2bed30a0dd0fb32dae87d95db2743a42734087c80b0d4434eef6b8a0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.041895Z digest=sha256:9d4567b95204651a1bd3d6b658e20e758fd1adbb5e042fcdce8b9cc7922bc044

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.118217Z digest=sha256:e19e3d1483a071e08347d60ee00734f180119a25e3e41ade14cdab927b489791

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

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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=sha256:781697f890a1497adfa37af4326613bda781daa9e6201edd80212c57efbbac73

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.314597Z digest=sha256:0a59a4a18193dc170c04bf4ee8dd57a4930b82e098dad1eedb2d448d391a5b42

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.437102Z digest=sha256:da25faec7b5248e11bb3b4755feba9211953eb655eb26a5e906c90bec492b549

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.546055Z digest=sha256:6a4e4e4a2478848234d841b87b83557b3ba14598950e1ac3fa626320702eb240

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.625513Z digest=sha256:b9dce090b68a31b254b300027f28c406372fd159e044c7923a79953e81431e8f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.713705Z digest=sha256:bfc6ef08e7a24a499a45a6736acfcd468d7d1e7c80f84609aabc9df22e1e4d95

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:22.810998Z digest=sha256:c21f4ff433fb8bc2ebbf4ce295a0434a4ac04f3140384b81af1d76d999cd1f0f

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=sha256:5a4f94c37d80e266db246ba366d59b2f2dcd82bbe8366eae5b143df7485205fd

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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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=sha256:421bb9eb00b0af76544773c19b25cbe6c648a5c093e1984145a64b1d6bb0e1fb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.127858Z digest=sha256:3cffb27d6a3e6006d12faedb503c25d21015ac1e972b2c97cc88a360aa813f67

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=sha256:7cd03672a3f49a853dca1e21432acb57a7a1f95c3f8876b83fede8b05b5058e9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.335586Z digest=sha256:b9dff307be86e8fc9b25fbf2946d839557161378b9ef827e9146c32f1ca88636

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.460948Z digest=sha256:945b9a71ebc9bcb507f96280f08a06978424431c8cae30341d8ebee6cec42104

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.581373Z digest=sha256:b454c3f15a6777e05f636060a81f67389d99351270e72f625323b01ec40f6f99

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.672180Z digest=sha256:b193c399a713bd1f9fd83b91aaa10d7350d6f8f08fdad071a4903282218595db

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.763063Z digest=sha256:d9e8d2bc3b35a292ebbe122060b210098b2d533b188c646b0c3698e144e98512

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.882210Z digest=sha256:7a7261a755d5540b3b28948e05b8979b0bc3dcf5bf1ab89c3ece4ac625f75e17

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:23.980692Z digest=sha256:d45543683dd97a1a07324e1d8cb27d18e6d4179c040549373df2a353f9c460d3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.083265Z digest=sha256:174ff4fdbeb07165000c401faa0384f9a931f32e014e3ef2e8b182f64dc6a2b1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.179435Z digest=sha256:93c3f451102407ecad57c34ef4af0142c27a228ad89304f17875ea50d314e4bb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.281813Z digest=sha256:81d552b82d506649a32fc6c560e72883dba2432eb07f4d00bf1575f33bc7b56e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.397142Z digest=sha256:162a9df765911bcb5ee0d82d510dd04665ad72d863003d1b62fff33194e57104

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.538450Z digest=sha256:2ecea034444c46a9af18dbdfe97e7514dfc6d19bb16933615d8f1f88e2b72e46

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=sha256:0b71f883ab15ac8aa5cd050f18d716aa7f1b84dbf7a4220fb00ab028b37df155

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:b6515561e57b400e81fce0ea4f5d573aee36a715e8b0af046838d3bffbcc04b9

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:f0e6d76ae12e1c14b6dc882b9c914e611928fbe08cbd28ba7fb3d8d3e6463f5d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:24.913676Z digest=sha256:65dce0d15a2648e3ce1a56f5b194eec2ee8b1e044dc216308fac8201796506fa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.032057Z digest=sha256:a21ce6ab5a68b3befa9133a3b89bafaf9d5ea0b5c3881e856aad1fc9dfd4daee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.131238Z digest=sha256:819a4d7dc903cfb95e89051651d8c110f796f966fd4d40fee3492bd1f4d15ead

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.215284Z digest=sha256:4595b9f57afe18ccd17e83e1c19a9afd5113a8cf1500b94d2bc9d0f49a736816

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:d1124982782eaaaec659df76d388cdf1f562c94be91ce9c2ba603a21249f48c6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:40:25.431563Z digest=sha256:2986ff9538ef6b3a3978ecb0636fed7ba60456c95612e16d5ee248eab84712dc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T11:26:20.416828Z digest=sha256:b394a4259757fa0cf6e8354bbc5c3e96709b392431a9fb9ce404402cfe65df3f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T09:07:47.278074Z digest=sha256:d57707e138a22a0193f6c66c22c8219c1e2fc7af2f45b0df9e20da13678ad38e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T23:42:01.927845Z digest=sha256:ddc33b7acda6a2a17b52e7c2dca4dfb57d1df844d9f2981e8c86e2eafea9d60f

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:bdfbab997bb09d49600466464144a0ab4e173b9039d80271e8c094b16462bd98