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Paper Citation Record · LEDGER

CONCLAD: COntinuous Novel CLAss Detector

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.10473.

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

pith.paper-citation-record.v1
2412.10473 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:48:35.440074Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy35
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 887abb84-8b14-4599-a5fb-74dd88c772a6 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

CONCLAD: COntinuous Novel CLAss Detector Overcoming catastrophic forgetting in neural networks

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c665a7ec-d645-484d-bda8-2691ac651939 · outbound

This paper cites Beneficial Perturbation Network for designing general adaptive artificial intelligence systems.

CONCLAD: COntinuous Novel CLAss Detector Beneficial Perturbation Network for designing general adaptive artificial intelligence systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.962637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 579c04da-a433-447f-b608-dae77c105e8f · outbound

This paper cites Superposition of many models into one.

CONCLAD: COntinuous Novel CLAss Detector Superposition of many models into one

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3a4e2ff3-e80e-4dff-aad1-8f79433581d9 · outbound

This paper cites icarl: Incremental classifier and representation learning.

CONCLAD: COntinuous Novel CLAss Detector icarl: Incremental classifier and representation learning

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 2026-08-12T06:34:41.77262+00:00.

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Observation 290ff8ad-b3a7-49e6-924e-4bc5799de03f · outbound

This paper cites Lifelong Learning Without a Task Oracle.

CONCLAD: COntinuous Novel CLAss Detector Lifelong Learning Without a Task Oracle

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.871178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6fc8335b-3023-4ad3-9880-e0e689b3d0f2 · outbound

This paper cites Rethinking experience replay: a bag of tricks for continual learning.

CONCLAD: COntinuous Novel CLAss Detector Rethinking experience replay: a bag of tricks for continual learning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.716510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bc9f9331-1dee-4b74-a545-3cbc241f095b · outbound

This paper cites Continual lifelong learning with neural networks: A review.

CONCLAD: COntinuous Novel CLAss Detector Continual lifelong learning with neural networks: A review

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.684427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:34.962151Z digest=sha256:550f11971602b1a66f99a3bd8c5c138f6a2884897248f83f88fac18c38753c03

Observation 581dce0a-dba7-4b86-876e-4b1af75f8f52 · outbound

This paper cites A soft nearest-neighbor framework for continual semi-supervised learn- ing.

CONCLAD: COntinuous Novel CLAss Detector A soft nearest-neighbor framework for continual semi-supervised learn- ing

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.673678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bbe618b9-8578-4116-ace0-378368cb984a · outbound

This paper cites Continual semi-supervised learning through contrastive interpolation consistency.

CONCLAD: COntinuous Novel CLAss Detector Continual semi-supervised learning through contrastive interpolation consistency

Reference 9

Resolution
verified exact
doi, observed 2026-08-11T16:48:35.482069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9e26d04b-82ac-4901-9a1c-cb5bdaaba10b · outbound

This paper cites Beyond Supervised Continual Learning: a Review.

CONCLAD: COntinuous Novel CLAss Detector Beyond Supervised Continual Learning: a Review

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:34.973443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 375419d9-3af7-44ea-bce1-0e4d34057984 · outbound

This paper cites incdfm: Incremental deep feature modeling for continual novelty detec- tion.

CONCLAD: COntinuous Novel CLAss Detector incdfm: Incremental deep feature modeling for continual novelty detec- tion

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.660877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5362d1ac-b6b0-430b-8bf8-dc4ef29dc164 · outbound

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

CONCLAD: COntinuous Novel CLAss Detector A baseline for detecting misclassified and out-of- distribution examples in neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.649636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 46afb7ee-4925-46d9-a0a2-9a3f8f5b6747 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks.

CONCLAD: COntinuous Novel CLAss Detector Enhancing the reliability of out-of-distribution image detection in neural networks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.638513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b5045eaa-7081-4aa1-9b1d-d96f0fdf73db · outbound

This paper cites Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features.

CONCLAD: COntinuous Novel CLAss Detector Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:34.988914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:34.988914Z digest=sha256:5884e225bc8237b386664b43b81affeec550b1bdec3cfa1af3b06acb92ff9f95

Observation a2d1a103-0223-41df-a8c3-ae6e138106d6 · outbound

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

CONCLAD: COntinuous Novel CLAss Detector A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.626837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2f3d8524-f02a-460e-96bf-061fe8e4a41f · outbound

This paper cites ViM: Out-Of-Distribution with Virtual-logit Matching.

CONCLAD: COntinuous Novel CLAss Detector ViM: Out-Of-Distribution with Virtual-logit Matching

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.569670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 65d38fc2-dd22-439f-a43a-a64d88c87eff · outbound

This paper cites Likelihood ratios for out-of-distribution detection.

CONCLAD: COntinuous Novel CLAss Detector Likelihood ratios for out-of-distribution detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.394749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 548240d0-a938-42c0-9b85-49de853ef983 · outbound

This paper cites Deep clustering: A comprehensive survey.

CONCLAD: COntinuous Novel CLAss Detector Deep clustering: A comprehensive survey

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.255548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation db71df0e-8d3a-4f9c-ad57-5d5105a8f2c4 · outbound

This paper cites How to measure uncertainty in uncertainty sampling for active learning.

CONCLAD: COntinuous Novel CLAss Detector How to measure uncertainty in uncertainty sampling for active learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.245646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 27a0e9e7-0a04-4c78-949f-4b3978430453 · outbound

This paper cites Deep bayesian active learning with image data.

CONCLAD: COntinuous Novel CLAss Detector Deep bayesian active learning with image data

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.235791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f92ac3e0-1b52-48ac-93c9-8cd85c6bfefd · outbound

This paper cites Learning loss for active learning.

CONCLAD: COntinuous Novel CLAss Detector Learning loss for active learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.224965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b63bfd16-d88a-4d69-8a0c-ebf53737200c · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

CONCLAD: COntinuous Novel CLAss Detector ImageNet-21K Pretraining for the Masses

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.213809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cda8fadc-8879-453d-a06e-579d3903ee59 · outbound

This paper cites EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.

CONCLAD: COntinuous Novel CLAss Detector EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.021588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8df33d9b-d279-4ded-a890-a329ee801762 · outbound

This paper cites The iNaturalist Species Classification and Detection Dataset.

CONCLAD: COntinuous Novel CLAss Detector The iNaturalist Species Classification and Detection Dataset

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.025281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.025281Z digest=sha256:4659a5e00dac5d9a2fd45b092d48e3182d8eb6e7453eb15b4e127ea85697ee40

Observation 0ba4302a-01a0-4ce0-b41e-0443b3837827 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.

CONCLAD: COntinuous Novel CLAss Detector Learning Multiple Layers of Features from Tiny Images

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.201258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8eba7e96-c1b2-4d70-87d9-8b012e08ca7c · outbound

This paper cites Subspace Modeling for Fast Out- Of-Distribution and Anomaly Detection.

CONCLAD: COntinuous Novel CLAss Detector Subspace Modeling for Fast Out- Of-Distribution and Anomaly Detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.190743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c172774b-8895-40e5-a8f9-5dfff8571eec · outbound

This paper cites Experience replay for continual learning.

CONCLAD: COntinuous Novel CLAss Detector Experience replay for continual learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.179816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 45b66ab4-de52-49e0-9e39-e7ad3bd5be2c · outbound

This paper cites Continual novelty detection.

CONCLAD: COntinuous Novel CLAss Detector Continual novelty detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.170013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e8948239-3603-40cb-90be-d72b58d8b0c2 · outbound

This paper cites Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks.

CONCLAD: COntinuous Novel CLAss Detector Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.159767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 78fe7338-b44b-4096-a691-1b5f7ce70707 · outbound

This paper cites Deep residual learning for image recognition.

CONCLAD: COntinuous Novel CLAss Detector Deep residual learning for image recognition

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.179903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.179903Z digest=sha256:8dbd18bd4cc4019fdfb72e674927473feda1c270c1b3d3dad9be0e2d03235725

Observation fe3e6131-24f6-440e-abaa-22de278fa867 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster as- signments.

CONCLAD: COntinuous Novel CLAss Detector Unsupervised learning of visual features by contrasting cluster as- signments

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:36.006367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ac2ae94d-5841-4f47-9cfe-9d56a1e8316d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CONCLAD: COntinuous Novel CLAss Detector An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.264639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.264639Z digest=sha256:2cb83b154f4b05de4ba2f18a21806b5766455828883a4d70dc0152f1ae35fd5a

Observation 2d66b2a0-658a-4c7d-b3b7-e4c8b1327852 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

CONCLAD: COntinuous Novel CLAss Detector Emerging properties in self-supervised vision transformers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.963155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7581483d-b7b3-4aa1-9741-4fe8eee21349 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data.

CONCLAD: COntinuous Novel CLAss Detector Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.953700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.369172Z digest=sha256:684138422dd9b2342d953d25664609ea02946341b6c38ba99fdf3cc7f5c51815

Observation 01e6265e-5610-4918-8ae8-0a3cc649bb10 · outbound

This paper cites Head2toe: Utilizing intermediate representations for better transfer learning.

CONCLAD: COntinuous Novel CLAss Detector Head2toe: Utilizing intermediate representations for better transfer learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.943260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.391437Z digest=sha256:c5700cacd600f1bc361d089da6794cb3deb1f7fed54b64d8be7a9af822fbb221

Observation 4a018311-53a8-44a8-b75c-14268ab12ee5 · outbound

This paper cites The dynamics of perceptual learning: an incremental reweighting model.

CONCLAD: COntinuous Novel CLAss Detector The dynamics of perceptual learning: an incremental reweighting model

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.931773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.395660Z digest=sha256:f048fb11ace146c04d20f1a62ee2833ecac401f9c9a2b32e6ea529a6238e1eb8

Observation c099065d-64c4-4850-a7ae-1089fdeabb23 · outbound

This paper cites A Baseline for Few-Shot Image Classification.

CONCLAD: COntinuous Novel CLAss Detector A Baseline for Few-Shot Image Classification

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.399925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.399925Z digest=sha256:0586111471221b0f8da255a541c121dc54d97f33383d363d64bd8de661e52cea

Observation 169adcc3-36f3-45ea-9e56-550083f5658c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CONCLAD: COntinuous Novel CLAss Detector Adam: A Method for Stochastic Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.404592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.404592Z digest=sha256:28dd9d2756930928fbe654726bf0aa1cf06d4b8d31a6323e8c74c4b90c2a7aa0

Observation 911fa835-5d75-4f03-85b4-41c4c5178333 · outbound

This paper cites Closed-Loop Memory GAN for Continual Learning.

CONCLAD: COntinuous Novel CLAss Detector Closed-Loop Memory GAN for Continual Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.408510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.408510Z digest=sha256:e1bed409c9bae836943732ac7c45965afb96f23bcbcc23a648c7caeeb36b6c85

Observation 113731ec-394e-44ae-bafa-2c8de86ab842 · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

CONCLAD: COntinuous Novel CLAss Detector ImageNet Large Scale Visual Recognition Challenge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T16:48:35.412636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:48:35.412636Z digest=sha256:81406d36a788c7e83cf8eea6528170fa7ad0b416b8d6440dbe91470071efe593

Observation 55c04e17-5f7a-484b-bbb6-b213d84d67d0 · outbound

This paper cites MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space.

CONCLAD: COntinuous Novel CLAss Detector MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.920665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.416437Z digest=sha256:d965314b31dbec8ca505f5c4dcd0a993d7dcb242d75f7d27e64303f65017bd1e

Observation 3de6a55c-5f96-41f1-9a6f-4cad53e1a23e · outbound

This paper cites Delving into Out-of-Distribution Detection with Vision-Language Represen- tations.

CONCLAD: COntinuous Novel CLAss Detector Delving into Out-of-Distribution Detection with Vision-Language Represen- tations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.910723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.420032Z digest=sha256:7359e43de2695df6a9c3e36a721f41418c863dcdff190a8664ad6f0069e7970c

Observation 9a45351e-5fe1-41c9-b3c5-641376de4a69 · outbound

This paper cites A survey of deep active learning.

CONCLAD: COntinuous Novel CLAss Detector A survey of deep active learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.898304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.423884Z digest=sha256:9bc1c04452a7c46535ec6d6d2a2603e72c35a59706e4a6bcfc9d0c2f51b9ae1c

Observation d6ea4c26-8be2-4141-aa9a-479e48b7aba6 · outbound

This paper cites We use a random set of 500 samples from each of the 50 classes.

CONCLAD: COntinuous Novel CLAss Detector We use a random set of 500 samples from each of the 50 classes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.886906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.428256Z digest=sha256:e07a0058f06140b6c369b4241b6a27b4260e1a27610d5520965e78640784024e

Observation d24228a7-9e5e-4fb2-9e92-e03a041d96ae · outbound

This paper cites A super-set (larger) version of this subset was originally proposed by [41] and has since been frequently used as test OOD dataset with respect to Imagenet1K [42].

CONCLAD: COntinuous Novel CLAss Detector A super-set (larger) version of this subset was originally proposed by [41] and has since been frequently used as test OOD dataset with respect to Imagenet1K [42]

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.752196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.432199Z digest=sha256:c62f9f2ca2f30cd9bac79e963926bc60f9ec1cad05147e7e55050912474da722

Observation 0763b099-ca08-42a5-be98-1090873f9aee · outbound

This paper cites an unresolved cited work.

CONCLAD: COntinuous Novel CLAss Detector Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:48:35.634042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.436396Z digest=sha256:3b63a2f2ee2272693cd21b1897ab9f945a6c497d90b782309c6a2d9ae7577045

Observation f4ba6949-cdd6-4dd3-a2fb-6b60f83c0d7c · outbound

This paper cites This totals 20 labels (super) and 50K images.

CONCLAD: COntinuous Novel CLAss Detector This totals 20 labels (super) and 50K images

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:48:35.576356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:48:35.440074Z digest=sha256:f1de0e50ecc6c1d53ef88b7622dc3b54d0f16de625a4393508feb453945eda7c

Pith citing papers

No inbound Pith citation observations are available.