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Paper Citation Record · LEDGER

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.09625.

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

pith.paper-citation-record.v1
1908.09625 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:11:11.532748Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93d0736d-85ef-473d-aed5-a3bf5a775cf5 · outbound

This paper cites AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T11:11:11.200769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:11:11.200769Z digest=sha256:7a45b6aeddb9c276efbf7d9b8d897cb05f57b73aaf87504cae42d64d331125a0

Observation 84f027b7-96cf-4126-bd9d-17a37d59e2a4 · outbound

This paper cites Bendale and T.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Bendale and T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.613602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.216729Z digest=sha256:8f1ac3ca84fc5075eb5e936fa43bfa9954bb382b1beca646c9e21d9bbee2df72

Observation 8f5a92c0-3a55-429b-8976-e06e90338a5c · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:12.567077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.238672Z digest=sha256:fa3867210967308735aa81f38cfa2fd87d53a6a118d8f8e5bd3c366c0582edf3

Observation bb761f60-7490-455d-bdbc-87f0c439b87b · outbound

This paper cites Clanuwat, M.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Clanuwat, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.523109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.249119Z digest=sha256:a9c9194eaaf98b5d6916ed0da7730f57e061dc00b7bfc6d727b0b6c98b583cf4

Observation 9a716e17-2a06-41d4-82c3-a5345629a524 · outbound

This paper cites Gal and Z.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Gal and Z

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.424345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.257010Z digest=sha256:ba47c047ec5ecb8489f6f1833017c153ca2ca6a2231cb37849ea58ff48584a65

Observation e0f474fc-caeb-4ba6-b352-4c9090a44530 · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:12.387555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.277298Z digest=sha256:f854e1d6ee27af71b5edff36a7be4394b9d32f3f511d96910e61d5f3414c2e0d

Observation 9afe4181-9721-4080-82db-9da43dd63519 · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:12.361769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.290676Z digest=sha256:91b3f4ef386ad2b8f44393bc7e7e4e96e501464a257a4a03d01f0b56ef67a445

Observation 9761e6eb-8e7c-4181-9567-f76fc0d6a916 · outbound

This paper cites Higgins, L.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Higgins, L

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.332366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.301898Z digest=sha256:c71efb4929244e75f34055b2d56e3afe2291df3cd59b1703ddecf19e5cfaa65e

Observation c49466c9-959c-45c2-90bd-cc321cfd2ce5 · outbound

This paper cites Ioffe and C.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Ioffe and C

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.299285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.308396Z digest=sha256:997a614b55162136f86bf0a6ca4bce13c92bd7abed5cdafe9b0faffdf4b88de5

Observation 90f19b5f-23ac-4099-a038-97050d3d345e · outbound

This paper cites Kendall and Y.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Kendall and Y

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.271002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.326143Z digest=sha256:2e34eb8a2bcf6e0608bc6a4b24ae6051337ec5a96c98d61e526621c29d9126ce

Observation 453ed8bf-cdd6-4fc9-ab51-cc4a40012708 · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:12.236637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.343111Z digest=sha256:436c0fa86b62bf7faf16bd6b9bf6c73cb978d79e44f3e36beb4c01cb099c7cb3

Observation c10367f0-d205-48e0-9e90-06a66246bf28 · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:12.184565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.379445Z digest=sha256:e5bafd5267f85caee9e04b9766f572e9f822eef3b2c93a45c50db0d3e434120c

Observation 0247f818-01f1-42de-910c-5a168c9c8f64 · outbound

This paper cites Krizhevsky.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Krizhevsky

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.151283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.395295Z digest=sha256:52d951bda7051c78d26c0df6de05f7ec845cbfb1723500d973e7ab6207dd7aed

Observation a9b0ef68-e8a7-4b5e-8fb0-c2c53f0d101c · outbound

This paper cites LeCun, L.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? LeCun, L

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.113927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.423419Z digest=sha256:73b45fc46e063d0da63159210a772b38d5f79a423612c9d7147dfac21e1736f7

Observation 163fddae-bdf3-4770-b739-e7c197dd6df7 · outbound

This paper cites Matan, R.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Matan, R

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.081756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.437186Z digest=sha256:6008e1c537553d66b87b2c54d7fbd518a5f2192166751d1f32e6dc54c5469938

Observation e447f9b6-ddf7-4b0a-a08a-9d03a5077d72 · outbound

This paper cites Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:11:11.826339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.454970Z digest=sha256:3e2b9a334cf411185078c10eb82e2bdc281277985221129007a17c4a55cb5213

Observation 76709127-aa64-4c6c-a3cf-b0b80c780fe4 · outbound

This paper cites Nalisnick, A.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Nalisnick, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.048097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.461915Z digest=sha256:d1a29ec9980a93a27998d55ca0a071ca73736ff0be0b8c63870edf1ade2e9800

Observation 980677b8-9db4-4e8e-883c-731e481e6659 · outbound

This paper cites Netzer, T.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Netzer, T

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:12.021251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.482926Z digest=sha256:4ceacf1a8a60b25063f9cd2e9f2ee6e233ec9f26c1c2326db020aec1a91f71d0

Observation d2ee7d08-31b4-423a-b3f1-8e1998f5d1c0 · outbound

This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T11:11:11.497576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:11:11.497576Z digest=sha256:ce6ef69b66afc9040d62c8b4de18d16956644187f93166b992ab578fa6fbe98b

Observation a20231c4-eb81-4ac8-a3be-4d1d4f256cb2 · outbound

This paper cites Srivastava, G.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Srivastava, G

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:11.972762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.510027Z digest=sha256:b961213a88eb23b679a69a26921f2f7e35477088c0dc0ded7d0691977da036a4

Observation 0febdc65-24a8-45ad-a903-43e9a210205d · outbound

This paper cites an unresolved cited work.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:11:11.942942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.516986Z digest=sha256:ce66139b1f25021b435e6a6f9e8f84e1dc9610f9e63cabc10edfc3bc0bb0885f

Observation 11f9f214-ed10-4bc8-ab61-ea740cd838a1 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:11:11.523320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:11:11.523320Z digest=sha256:137b93aa42a03478f2b89e867bc5fbd387c92ffc6423baf9c3c4d1f75f5b60d9

Observation ee7ff4c8-e9c4-42a1-b0e6-238cbe96bc16 · outbound

This paper cites Zagoruyko and N.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Zagoruyko and N

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:11:11.896242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:11:11.532748Z digest=sha256:841d1cea3efc791dd54b7e215c50cb3fd5f3882c095a4f0628e83b64c4afcd23

Pith citing papers

No inbound Pith citation observations are available.