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Paper Citation Record · LEDGER

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection

As of 5 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.23729.

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

pith.paper-citation-record.v1
2604.23729 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T09:34:10.777229Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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  • verified fuzzy53
  • unresolved3
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 461bbef2-5fdb-4d33-a1d4-dbd2481c44be · outbound

This paper cites Line: Out-of-distribution detection by leveraging important neurons.CVPR.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Line: Out-of-distribution detection by leveraging important neurons.CVPR

Reference 1

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Observation 2903aedd-557b-4b21-81c2-2868026aa1f6 · outbound

This paper cites Negrefine: Refining negative label-based zero-shot ood detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Negrefine: Refining negative label-based zero-shot ood detection

Reference 2

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Observation 115c4beb-c706-43ac-8b77-e68125f68051 · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection In or out? fixing imagenet out-of-distribution detection eval- uation

Reference 3

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Observation 223ce2e0-7f3e-489e-8712-8303b91c1260 · outbound

This paper cites Noisy test-time adap- tation in vision-language models.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Noisy test-time adap- tation in vision-language models

Reference 4

Resolution
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Observation 820984f0-2f4e-441f-b4dc-d8cc4e822e6c · outbound

This paper cites Conju- gated semantic pool improves ood detection with pre-trained vision-language models.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Conju- gated semantic pool improves ood detection with pre-trained vision-language models

Reference 5

Resolution
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Observation 1b11701d-a6c4-4bc1-8999-c8e5b686d70a · outbound

This paper cites Describing textures in the wild.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Describing textures in the wild

Reference 6

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Observation 5819b984-6c47-4df8-b0cd-47ae6f07bce4 · outbound

This paper cites Bimcv covid-19+: a large annotated dataset of rx and ct images from covid-19 patients.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Bimcv covid-19+: a large annotated dataset of rx and ct images from covid-19 patients

Reference 7

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Observation 4c047927-0f29-4b4b-81e4-31383a9548f4 · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.IEEE Trans.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Imagenet: A large-scale hierarchical im- age database.IEEE Trans

Reference 8

Resolution
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Observation cc279978-1b4e-467f-83a1-c42811a1a12f · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Extremely simple activation shaping for out- of-distribution detection

Reference 9

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Observation 46fbfb5e-c615-4a18-9807-71281f8e729d · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 10

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Observation d63abe6d-4249-46d8-a4ab-0146a6ac9f7c · outbound

This paper cites Siren: Shaping representations for detecting out-of- distribution objects.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Siren: Shaping representations for detecting out-of- distribution objects

Reference 11

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Observation 905fab98-bf7b-4fbd-a816-bb57c3a2023c · outbound

This paper cites Zero-shot out-of-distribution detection based on the pre-trained model clip.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Zero-shot out-of-distribution detection based on the pre-trained model clip

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2a0a49ba-4bdc-479e-a61c-ccd59b4df63f · outbound

This paper cites Test-time linear out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Test-time linear out-of-distribution detection

Reference 13

Resolution
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Observation 2e18d60a-8091-4251-82a3-9713855a73bd · outbound

This paper cites Out-of-distribution detection with prototyp- ical outlier proxy.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Out-of-distribution detection with prototyp- ical outlier proxy

Reference 14

Resolution
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Source-reported events for the cited work

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Observation da89ab9a-9931-4cb8-8e3f-33e501187ed7 · outbound

This paper cites Deep residual learning for image recognition.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Deep residual learning for image recognition

Reference 15

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Source-reported events for the cited work

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Observation 9eed49e1-0551-4fe1-a947-8fe4791b1ec4 · outbound

This paper cites an unresolved cited work.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Unresolved cited work

Reference 16

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Observation e51be570-4b7d-43c5-bf9c-85e1583828c4 · outbound

This paper cites A baseline for detect- ing misclassified and out-of-distribution examples in neural networks.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection A baseline for detect- ing misclassified and out-of-distribution examples in neural networks

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a7e1cb16-f803-4f54-8c59-eaf1cab58760 · outbound

This paper cites Densely connected convolutional net- works.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Densely connected convolutional net- works

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 3c7df1cb-9b0f-44c8-870c-c667fd011fc0 · outbound

This paper cites Negative label guided OOD detec- tion with pretrained vision-language models.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Negative label guided OOD detec- tion with pretrained vision-language models

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 4fe9eef7-dc1d-488d-b63f-52bd9ce2841a · outbound

This paper cites Learning multiple layers of features from tiny images.(2009).

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Learning multiple layers of features from tiny images.(2009)

Reference 20

Resolution
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Source-reported events for the cited work

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Observation d9f24aab-de97-449d-9dee-7ac2aa4c5c0a · outbound

This paper cites Synthesizing near- boundary ood samples for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Synthesizing near- boundary ood samples for out-of-distribution detection

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 660c70d3-a7c3-41ef-a8ba-65dd8660d4ed · outbound

This paper cites On the robust- ness of open-world test-time training: Self-training with dy- namic prototype expansion.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection On the robust- ness of open-world test-time training: Self-training with dy- namic prototype expansion

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 6001cc06-ab12-40ce-86f0-0f747bc3d628 · outbound

This paper cites Cadref: Robust out- of-distribution detection via class-aware decoupled relative feature leveraging.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Cadref: Robust out- of-distribution detection via class-aware decoupled relative feature leveraging

Reference 23

Resolution
verified fuzzy
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Observation 580ec1aa-1ed1-478a-bf6f-4d3101543e58 · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Energy-based out-of-distribution detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.378000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2c1f356f-d273-4f3f-9dec-c842b3c1d3d6 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1e0aa021-8f31-4dc4-9a7b-8f76bd876286 · outbound

This paper cites A convnet for the 2020s.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection A convnet for the 2020s

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 808e4bdf-15c2-4fad-9a8e-933d0c84d8c8 · outbound

This paper cites Learning with mixture of prototypes for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Learning with mixture of prototypes for out-of-distribution detection

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d00256ed-757a-4e92-b9c4-21116f5b59d7 · outbound

This paper cites Fa: Forced prompt learning of vision-language models for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Fa: Forced prompt learning of vision-language models for out-of-distribution detection

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f009eeda-25b5-4529-9378-83f67aee853e · outbound

This paper cites an unresolved cited work.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Unresolved cited work

Reference 29

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 71d82d03-ed6a-4da4-8fd2-af75e82dd066 · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Delving into out-of-distribution detection with vision-language representations

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d31842f0-83ea-4215-bb59-f2a7d3057f68 · outbound

This paper cites On the impact of spu- rious correlation for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection On the impact of spu- rious correlation for out-of-distribution detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.354509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 50b635bf-b4d5-4685-b79a-4ce632f2c836 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? InICLR.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection? InICLR

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9c252cea-2a5d-4086-9e76-b21a89a90b03 · outbound

This paper cites Zero-shot in-distribution detection in multi-object settings using vision-language foundation models.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Zero-shot in-distribution detection in multi-object settings using vision-language foundation models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.343252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation fb1003c3-d350-4aa9-b22f-e591add948f8 · outbound

This paper cites Locoop: Few-shot out-of-distribution detection via prompt learning.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Locoop: Few-shot out-of-distribution detection via prompt learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.345042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:81bfeeab86629a98bfd937ebb00e41b2401338fc1ac25bcf3c2153ec0bd8b631

Observation f3e68b2c-bd86-477c-94c9-4b4ff434353a · outbound

This paper cites an unresolved cited work.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-07-06T11:32:22.346795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:a1273a558291b3735166ae77e94eede02ebfcda588190a404a4f1fef02a5c96d

Observation 21fd8139-7457-4c14-b90f-5455a0e66f03 · outbound

This paper cites End-to-end convolu- tional network for saliency prediction.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection End-to-end convolu- tional network for saliency prediction

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.362065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:22ac5a61e34709afc3e149e35d1ba1ee24298860820d78ee98c269c97ff0591a

Observation b59a4f63-637b-4374-9aeb-331d5ce3748f · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Learn- ing transferable visual models from natural language super- vision

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.337574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:4bd8114d6bf95df99c213fad37a4dec4bf0befc819c2d981a1f93279903ceb19

Observation a079bc43-c808-4ce6-bef4-7e807d4a7af6 · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Dice: Leveraging sparsification for out-of-distribution detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.339441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:be8b8e5a252e60b4d4fc310eaf6aadcf5ee66c0dd2f87850abc82f1789491d3d

Observation a8105ba0-df30-4d35-a19d-f925c9c02f37 · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection React: Out-of- distribution detection with rectified activations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.341220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:e4cfa16456c68a7b0584b9ff12e6f1edd16ef9709b8e8400ae74e389cf412b3e

Observation 541ec383-cb38-48c8-95e0-f522889af556 · outbound

This paper cites The inaturalist species classification and de- tection dataset.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection The inaturalist species classification and de- tection dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.333935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:22bab5a93e57606e7a3a9fe6409140680864990d157ca83265a55b1b25a4311b

Observation c2400940-389f-4b1f-9495-9e888c66b2a2 · outbound

This paper cites Open-set recognition: a good closed-set classifier is all you need? InICLR.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Open-set recognition: a good closed-set classifier is all you need? InICLR

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.431479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:1b194d826a066baf02dfdfe0509d7878c716ff199c8d9ba2caab5713b43cae3a

Observation 95d76635-3681-4834-a2e5-1fc7d14ba710 · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Vim: Out-of-distribution with virtual-logit matching

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.433413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:d4e34ab98094a16b48377d64ab9a45a10418181f5b12b4e01e44b8d46b0c474f

Observation 2ed37ce3-e700-40ef-a578-cff350cde906 · outbound

This paper cites Knowledge guided disambiguation for large- scale scene classification with multi-resolution cnns.IEEE TIP, 26:2055–2068.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Knowledge guided disambiguation for large- scale scene classification with multi-resolution cnns.IEEE TIP, 26:2055–2068

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.439416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:f7f96f40f96d0a43f87eaec1fcec72befc39bf37fe7d9e1c4314e9674684cc28

Observation 1c4e207c-96a8-4ca9-a21e-cb8233766466 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Sun database: Large-scale scene recognition from abbey to zoo

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.419966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:035f136f0128833cb0f6d89eb223fe5d0feb367d20c35b586c031b80439320ea

Observation 0628db09-b065-4468-8765-fd5948f5a614 · outbound

This paper cites Overcoming short- cut problem in vlm for robust out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Overcoming short- cut problem in vlm for robust out-of-distribution detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.421802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:96067aeb7f38a402b7d4c65bc6584f15082bcabacd0b75f0c7c4aff6725504b7

Observation 656ffa47-a9f0-4ed4-badc-fc43a7dd1217 · outbound

This paper cites Auto: Adap- tive outlier optimization for online test-time ood detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Auto: Adap- tive outlier optimization for online test-time ood detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.423665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:0b2fee88b047c390bff6ec956fa9d7d3bfbd12d57f851525abb4761782d2646d

Observation 2df54c4b-3b6a-4724-867b-bdfe220005fb · outbound

This paper cites Oodd: Test-time out-of-distribution detection with dynamic dictionary.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Oodd: Test-time out-of-distribution detection with dynamic dictionary

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.427514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:c8c1b139bf65ddc55b72b44af25de67e9990bf080afdebad18438f6712660396

Observation 6df12dca-8eda-4a00-851f-824e5d7b4873 · outbound

This paper cites Self- calibrated tuning of vision-language models for out-of- distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Self- calibrated tuning of vision-language models for out-of- distribution detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.418030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:16ed9f85f800fe9a0f5a4cda9e7b8b049bd8f30c129b3d0a0556cb295a205b92

Observation a3f789c3-0cfb-43b8-b9df-c37b9a9596c3 · outbound

This paper cites Openood v1.5: Enhanced benchmark for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Openood v1.5: Enhanced benchmark for out-of-distribution detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.425415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:40d00797d4408177537f779526050eeecb2dc595ad35404d92691c5cdcfa78d1

Observation 611d1311-3b6a-4f27-af9a-0e9e4dcb0e56 · outbound

This paper cites Birch: an efficient data clustering method for very large databases.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Birch: an efficient data clustering method for very large databases

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.435308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:21e8f4911a9815df7074a1e86ec19fccb433db30dc519406f287b5c3f1288f58

Observation 51be2728-dc3d-46c8-916f-d7bde2957613 · outbound

This paper cites Adaneg: Adaptive negative proxy guided ood detection with vision-language models.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Adaneg: Adaptive negative proxy guided ood detection with vision-language models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.404618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:4d77f1a81cb10ae0076c4a06fb79147dcfbc5b37be50e577cdf5506bd595f52f

Observation 093ddb97-5113-47d7-972e-6e7cbbebd312 · outbound

This paper cites Tulip: Test-time uncertainty estimation via lin- earization and weight perturbation.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Tulip: Test-time uncertainty estimation via lin- earization and weight perturbation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.406487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:de7ff7cb2c36a70a013dbe4a3d0959edaf6f78bb60c9eb449986ee19b9c3127c

Observation c9e6152c-6905-4d61-b510-dfad0f3a7052 · outbound

This paper cites Towards optimal feature- shaping methods for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Towards optimal feature- shaping methods for out-of-distribution detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.332089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:127c97ca050649c82fce7a54a804a28536008461e1a638cbb21afee60e17c897

Observation 7ad7b9f1-5372-43a0-9939-9e7da84a9bff · outbound

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

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Places: A 10 million image database for scene recognition.IEEE Trans

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.391603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:7e4dac76bc3f35e8ce8d5546f36eb0b680e66214ff9af8bbc8de18e2a48ff1d5

Observation a6e7db54-2b76-472c-80b5-a868566e0e95 · outbound

This paper cites Learning to prompt for vision-language models.IJCV.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Learning to prompt for vision-language models.IJCV

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.389739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:883882daef3ee9b7225d0f2cef54af3788aec31e247942a8c264ad491dc47207

Observation 2f09e714-b81e-4e48-bc12-069c70da73e3 · outbound

This paper cites Spurious-aware prototype refinement for reliable out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Spurious-aware prototype refinement for reliable out-of-distribution detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T11:32:22.393519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:7cb017d114f0b4906884a22804815e2c44e2c48305330c0ae8806c661b93b695

Observation d97ad16c-0352-4aaf-97d4-8d9422c64c1f · outbound

This paper cites Provable discriminative hy- perspherical embedding for out-of-distribution detection.

DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection Provable discriminative hy- perspherical embedding for out-of-distribution detection

Reference 57

Resolution
malformed identifier
raw_fallback, observed 2026-07-06T11:32:22.399206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:34:10.777229Z digest=sha256:0e0314c25301126cb29a0dda0e1d34e4fd8db39dcebc2b6c1d256bc762641376

Pith citing papers

No inbound Pith citation observations are available.