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Paper Citation Record · LEDGER

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.02474.

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

pith.paper-citation-record.v1
2412.02474 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:57.911159Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c537ce5d-07c0-41ee-83fb-2a2c2f53e640 · outbound

This paper cites Ahmed, A.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Ahmed, A

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.636054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.714791Z digest=sha256:ee52b58b2454d6591d674779a092e8a99296de30b457ae27cc2d3a1824a7cd0a

Observation 13fcf8b5-3ef3-49fd-a74b-b83fd4f3ce41 · outbound

This paper cites Seyedhossein, M.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Seyedhossein, M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.620065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.722708Z digest=sha256:fc01a48b3d4c834c0fb5268cf2acb2cb5c032477508c2c46c1125e39c5caa1e5

Observation 02d27bbc-4bf5-43db-9957-a5df0c6f02ac · outbound

This paper cites Sivaraks, C.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Sivaraks, C

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.605873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.726681Z digest=sha256:0af3bfd7e4f20992ea86ecec0d584dc214884be02d81a615837bf2c7b75ae825

Observation 0824f37f-7494-4469-b6fb-f97f52caa2b6 · outbound

This paper cites Zhang, T.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Zhang, T

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.582797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.735663Z digest=sha256:85aac054992c361ee0b331f62da040442247344a22f0b12361613ba1d50310d3

Observation 5f46dbf7-c166-4909-ad07-834e22ce048e · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:59.569026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.739335Z digest=sha256:0155ba82e7bdc6f1151b9e2cc48b01c49cf4ff8711205f256c516d9accb097b0

Observation 0594e320-ff16-4c7a-a334-961b80d84e45 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:59.555556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.745080Z digest=sha256:f35f10457bf54bbb9f03f3580fce78c80a1a6c9f26dc8f9ee2df417137496448

Observation aeb4e5a7-08e7-4b7d-a947-f1e924690466 · outbound

This paper cites Kay, Robust detection by autoregressive spectrum analysis, IEEE Transactions on Acoustics, Speech, and Signal Processing 30 (2) (1982) 256–269.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Kay, Robust detection by autoregressive spectrum analysis, IEEE Transactions on Acoustics, Speech, and Signal Processing 30 (2) (1982) 256–269

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.539243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.756787Z digest=sha256:575687653ff9c7742f2479f752b41bacdc917f1cee99c1062fcf9780d0eb12d9

Observation 6a267426-c412-46ad-9d71-4ff65bc4f9b2 · outbound

This paper cites Ohsaki, M.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Ohsaki, M

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.524070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.760375Z digest=sha256:cdbad4e7023ce8cd893a91648844e7ce84021a626d49f424d84316f8d4d6c93a

Observation c02a2c21-f467-43dd-9381-fcb9a3916e06 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:59.444744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.764630Z digest=sha256:41220314af19f5b6ec6ad48c4f3aa0f1d670d95fefb65b8731c059bc176f266b

Observation 9ccf2cc2-692f-48b9-89c8-c61fbadd558a · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:59.388222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.768576Z digest=sha256:51d6fb42cac290827a24bde66953118d8d1e596f077c08f1911558fc7e1a1d5e

Observation 1fac4827-7c8c-49f9-92f8-ec58f2e19ba9 · outbound

This paper cites Rebbapragada, P.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Rebbapragada, P

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.334748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.773326Z digest=sha256:e9e1c2c610efdcce3c03b9b7e55125999fdeb8960e6241450721a1c2c2fc1ae5

Observation bb34f3e7-7b7a-4782-9a05-56c846251203 · outbound

This paper cites Oehmcke, O.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Oehmcke, O

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.204746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.777512Z digest=sha256:98911329271cf19a0a8c3884929dcb76aa804fb16049f8f1168f512f0147cc77

Observation 5f24b0bc-6df4-4296-8811-fe58cd4efb7e · outbound

This paper cites Sch ¨olkopf, R.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Sch ¨olkopf, R

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:59.054744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.785051Z digest=sha256:b733e666b5dff26b7a1635b12b6afb1597708c6508b9014e1d9be656687f95cf

Observation 45cc7831-b80e-4aaa-b392-e18f9d756737 · outbound

This paper cites Munir, S.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Munir, S

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.921459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.789076Z digest=sha256:effde585b7fec759d504368793888defb89a9739ccb4517e92d67bddf99f74ad

Observation 871f1600-f279-4c1a-b50b-09bc2f55d3a8 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.806558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.794402Z digest=sha256:23c75f50fcb1cc12a76bdaec7ac69095f730331737a4ea6909e640441fad53f7

Observation 69411709-ca40-4322-8a6a-46c233b548d3 · outbound

This paper cites Rahimi, A.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Rahimi, A

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.775523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.798466Z digest=sha256:1a6c466818649d6098dc6194144b84072ff5854766a4b497dd0da35664c77bfd

Observation 7a523a94-9aea-4fd4-8e8b-977622080393 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.731857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.805412Z digest=sha256:c761f7a9bc10b7e106e440b23132d2c40ae11d232b5bd7f5d84400321165e90d

Observation 8bf8d060-30ae-464f-88f4-27596712992d · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.675520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.809116Z digest=sha256:e021fb6470752278c05a20d37af22c055cb9d080e3c64fd177afe52cb1b80f61

Observation 1202aa79-0c0a-4077-ba8c-ed4a363dfd49 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.641814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.812557Z digest=sha256:5bb5651116ddd28425db1f805175b88059af48275a922618dc34cf6c8f7a9971

Observation 5ad36efe-4c3d-45cb-bb24-f6be58523116 · outbound

This paper cites Hochreiter, J.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Hochreiter, J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T23:29:57.816767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:29:57.816767Z digest=sha256:77283ba71921215050d87cdce851baefa1f52fa35b5735309b975498b6908424

Observation fecb6ae1-3304-4caa-8a5e-05adc6724c95 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.554748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.822005Z digest=sha256:f02bfc7723b8b45226bdcf3d17bfe8fc5c90aa5a738b305c7d54eec57442ef2a

Observation 427992c7-afc8-42c6-9cc8-b65d3ad819ed · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.485527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.826959Z digest=sha256:ce9fbb6b409316e4397956f8eb2b1cec9d02fadee617fe43a0a862f221fcab84

Observation c26df9cb-f148-4dc0-ba21-f26e2d319f1b · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.364745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.831224Z digest=sha256:6978a995c6a417fa1534b938ecf24e0cd7fa672ed5c12ff93f49ad2ba3e5dcca

Observation c8f122a8-b46c-4b7d-a0b2-15e84ed2dc4d · outbound

This paper cites Hwang, M.-C.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Hwang, M.-C

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.314740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.835018Z digest=sha256:fabb45e089e63172d49197c5ed19038ee3b9ac816409c336957aabe19ec0f73a

Observation 177170c0-a0af-468f-b27b-37aee69d206e · outbound

This paper cites Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T23:29:57.838929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:29:57.838929Z digest=sha256:46865d9d7ac2d29f9b10f6e2c20bd751a556d88b82769a9d2ffa2174cb9b8c70

Observation cdc0a442-819b-4eb4-889f-9f4dc2fc708b · outbound

This paper cites Ullah, Q.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Ullah, Q

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.244079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.847264Z digest=sha256:5f19d3760831256c1083dfe49e41c622437e49536deb60e297a65687afcd635c

Observation 5727dddf-8f02-4324-b8b8-84411764edbd · outbound

This paper cites A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:29:58.001263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.854287Z digest=sha256:12a4f243d5289f5417b7f4cca7c32d508d4b8aacf5e3624a77fec5c1f2d8bc55

Observation 824d5b01-b4a6-405a-ae91-baa38f1b4b9b · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.228688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.858789Z digest=sha256:ee6b9db916d6ce476338112a80fa58964012f11a64d56d91cab79293ab7d1e77

Observation 3604f8f0-b676-46d8-bf29-6644dbc5a863 · outbound

This paper cites Zhang, Q.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Zhang, Q

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.212721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.864214Z digest=sha256:4fa428660fd0d97880f427e03a3bbadbd26c847d1b16807756f14853b6325973

Observation ff34cc44-c731-4527-81c7-af20b6fa5015 · outbound

This paper cites Malhotra, L.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Malhotra, L

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.191577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.869591Z digest=sha256:2917b13bf3d34dad2f465c91a11d963075755aa9747d634eb089f8ac6a72232a

Observation b0004f6e-120d-4f22-bdb6-a9dd2bd86a65 · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T23:29:57.873088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:29:57.873088Z digest=sha256:db507e77a28080660c9c039d8eeca85880f25bbf9c561960a283299b68dbedad

Observation 6bcb6b5c-9908-441d-b4ea-8376645e1f39 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.178596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.877577Z digest=sha256:aeba76f193735e6a1de404bf3b8fea77aaeec9e8baccdfec320bbc5929ad5d37

Observation 2fad0967-be0d-4883-9fd0-8493b5278af6 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.166872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.881467Z digest=sha256:cff3741e8755d05093978708fda4e257941e330f9399adb8aa6fb1e6c4c13974

Observation 761f0bc7-81db-40a2-b81b-cd746168be57 · outbound

This paper cites Cheng, Q.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Cheng, Q

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.152458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.887089Z digest=sha256:0b4ed417e28b30e736fbabc1034898a433f201f66a4c67242c1b01a5e679d753

Observation 3a266485-2e92-4a26-bd1d-90c217b5e576 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.134275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:29:57.891044Z digest=sha256:62626eb543c5ec9d9f78e303f5e480a304f308c7a372bde1cedf22dc0c4eaa6e

Observation 4b5e3cca-8eb4-4b3d-ab37-b2b040ce9e7d · outbound

This paper cites Kim, S.-B.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Kim, S.-B

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:29:58.111302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a1794a02-16b4-417e-acff-5bf221fbaa8c · outbound

This paper cites A C-LSTM Neural Network for Text Classification.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information A C-LSTM Neural Network for Text Classification

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 40ac1dd8-c7f7-4444-b833-562a804621ca · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.086013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ebea92eb-8f8c-4446-9639-9e033ddf8f90 · outbound

This paper cites Recurrent Neural Network Regularization.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Recurrent Neural Network Regularization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T23:29:57.904126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00ff15dc-4412-4757-99f4-d6f59d390a39 · outbound

This paper cites Laptev, S.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Laptev, S

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1fd871de-a5e2-426d-a8a7-4f479c4a9a72 · outbound

This paper cites an unresolved cited work.

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:29:58.037799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.