Paper Citation Record · LEDGER

Hybrid Deep Network for Anomaly Detection

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.06347.

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

pith.paper-citation-record.v1
1908.06347 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:53:41.788811Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 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

42 of 42 outbound references displayed

verified exact9
verified fuzzy10
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f09ea52e-294e-4136-93c1-fc3abd391c3c · outbound

This paper cites write newline.

Hybrid Deep Network for Anomaly Detection write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.008230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f1e8b3e-9cc1-4701-ae29-b68054b61ae1 · outbound

This paper cites @esa (Ref.

Hybrid Deep Network for Anomaly Detection @esa (Ref

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.053319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b650e2c0-cf70-4994-83ea-b424d2d4e464 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.091123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0aae25b-0e24-4059-854f-328aab651f74 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:53:43.136290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acfa4243-1985-4349-ae35-66f434583829 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:53:43.123530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77c201ba-b537-4f1d-93a7-d7a4f7c07284 · outbound

This paper cites Spatiotemporal deformable prototypes for motion anomaly detection.

Hybrid Deep Network for Anomaly Detection Spatiotemporal deformable prototypes for motion anomaly detection

Reference 6

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.297432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce976e1b-b83c-4130-b4e4-f4afa41f18d7 · outbound

This paper cites Return of the devil in the details: Delving deep into convolutional nets.

Hybrid Deep Network for Anomaly Detection Return of the devil in the details: Delving deep into convolutional nets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.120655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba199750-e2f2-4843-8c0d-978deda22c2a · outbound

This paper cites Cheng, Y.

Hybrid Deep Network for Anomaly Detection Cheng, Y

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.125205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce30469-50fa-4eb5-ac8d-55f0f12f61d2 · outbound

This paper cites Andrew Bagnell, and Martial Hebert.

Hybrid Deep Network for Anomaly Detection Andrew Bagnell, and Martial Hebert

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:43.111246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1be15a92-c923-421d-b35e-a3eaf709c12a · outbound

This paper cites Dosovitskiy, P.

Hybrid Deep Network for Anomaly Detection Dosovitskiy, P

Reference 10

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.276590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe358d6d-7f82-4b67-96f8-d90c037987b8 · outbound

This paper cites Generative adversarial nets.

Hybrid Deep Network for Anomaly Detection Generative adversarial nets

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:43.098424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1092b79-c0b6-42cd-89ff-db128228ab66 · outbound

This paper cites Hasan, J.

Hybrid Deep Network for Anomaly Detection Hasan, J

Reference 12

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.263206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13c25316-edb0-4350-9140-0e45a2caef18 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.150523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55eb783f-0c7b-4762-ade3-a252d51bd221 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.173104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea9d59cd-67fe-45c3-8db1-edc966cf8883 · outbound

This paper cites Hinami, T.

Hybrid Deep Network for Anomaly Detection Hinami, T

Reference 15

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.231907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37b54ad2-6b0c-4f41-b5fd-5ab5427dbaf8 · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks.

Hybrid Deep Network for Anomaly Detection Flownet 2.0: Evolution of optical flow estimation with deep networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:43.087277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7dc08d6-1cd4-4e17-8722-fee75ee2555e · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.115975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3cdf183c-b1d0-4a0d-b903-eabf44cfd88e · outbound

This paper cites Isola, J.

Hybrid Deep Network for Anomaly Detection Isola, J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.261640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62926afe-2517-4e2b-a58e-afb23c963206 · outbound

This paper cites Kim and K.

Hybrid Deep Network for Anomaly Detection Kim and K

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.267179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7412f094-fefd-48a9-b4cb-a5fe705b293a · outbound

This paper cites Adam: A method for stochastic optimization.

Hybrid Deep Network for Anomaly Detection Adam: A method for stochastic optimization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.442189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7482f9c4-36e2-45eb-a014-b726c68588f0 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Hybrid Deep Network for Anomaly Detection Imagenet classification with deep convolutional neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:43.066977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a54c1650-2d3c-4308-bd7a-289ca4f3d5f5 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.533213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca9616c2-d2f7-4d9b-91ae-5d80238f31c9 · outbound

This paper cites Future frame prediction for anomaly detection - a new baseline.

Hybrid Deep Network for Anomaly Detection Future frame prediction for anomaly detection - a new baseline

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:43.039066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 391ac4c1-f618-4c97-bc87-2628e93bf3c1 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.542506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712d2341-d69b-48d1-9559-7a87f70b2de5 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.547613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb0299d-66df-4386-94aa-4ba8c19b0b37 · outbound

This paper cites Maas, Awni Y.

Hybrid Deep Network for Anomaly Detection Maas, Awni Y

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:42.948368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4c95446-a2dc-44d9-a2f5-ef55043d8e7c · outbound

This paper cites Mahadevan, W.

Hybrid Deep Network for Anomaly Detection Mahadevan, W

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.558237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a2ad02-efd7-4770-99af-c48109541bd6 · outbound

This paper cites Deep multi-scale video prediction beyond mean square error.

Hybrid Deep Network for Anomaly Detection Deep multi-scale video prediction beyond mean square error

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.564522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758b02d1-0192-4b41-bc15-6401075b72c1 · outbound

This paper cites Medioni, I.

Hybrid Deep Network for Anomaly Detection Medioni, I

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.598908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d43937-3ece-4a7c-9813-c5cd8184e958 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:53:42.919968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17a74f0b-8d65-410d-aa6f-e1da36e61460 · outbound

This paper cites Narasimhan and Sowmya Kamath S.

Hybrid Deep Network for Anomaly Detection Narasimhan and Sowmya Kamath S

Reference 31

Resolution: verified exact; doi, observed 2026-08-14T12:53:42.002375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c5d5a36-132a-4d29-be55-10fff63e3394 · outbound

This paper cites Ravanbakhsh, M.

Hybrid Deep Network for Anomaly Detection Ravanbakhsh, M

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.633431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f227c8d-b215-4279-9b34-eaf66d726de9 · outbound

This paper cites Ravanbakhsh , E.

Hybrid Deep Network for Anomaly Detection Ravanbakhsh , E

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.638190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabc2de9-84ca-4fb0-a21d-283b3060ebed · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Hybrid Deep Network for Anomaly Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:42.907781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 73de3841-6dc8-47ec-867f-4e2cbf60ee7e · outbound

This paper cites Adversarially learned one-class classifier for novelty detection.

Hybrid Deep Network for Anomaly Detection Adversarially learned one-class classifier for novelty detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:42.896020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f36992fe-b021-4ad7-9c97-1f2a5559560f · outbound

This paper cites Learning deep representations of appearance and motion for anomalous event detection.

Hybrid Deep Network for Anomaly Detection Learning deep representations of appearance and motion for anomalous event detection

Reference 36

Resolution: verified exact; doi, observed 2026-08-14T12:53:41.987135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e1863d8-0aae-4a57-89e8-e85beae1adb5 · outbound

This paper cites Detecting anomalous events in videos by learning deep representations of appearance and motion.

Hybrid Deep Network for Anomaly Detection Detecting anomalous events in videos by learning deep representations of appearance and motion

Reference 37

Resolution: verified exact; doi, observed 2026-08-14T12:53:41.962916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 777b69e8-2889-4755-b15c-dd78384c0127 · outbound

This paper cites Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing.

Hybrid Deep Network for Anomaly Detection Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:42.883852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97b7107f-ea67-48be-8ee7-f36d01830956 · outbound

This paper cites Zhang, H.

Hybrid Deep Network for Anomaly Detection Zhang, H

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.776659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267746a9-9812-4e4a-9c5b-0de5352b4140 · outbound

This paper cites Video anomaly detection based on locality sensitive hashing filters.

Hybrid Deep Network for Anomaly Detection Video anomaly detection based on locality sensitive hashing filters

Reference 40

Resolution: verified exact; doi, observed 2026-08-14T12:53:41.862552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb05b5f3-0050-4bda-b222-523b771315c9 · outbound

This paper cites an unresolved cited work.

Hybrid Deep Network for Anomaly Detection Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T12:53:41.785267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06381d1-d9db-4439-897f-b7c702adf3e3 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Hybrid Deep Network for Anomaly Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:53:42.846534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.