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Paper Citation Record · LEDGER

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

As of 15 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2411.16556.

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

pith.paper-citation-record.v1
2411.16556 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:05:05.535776Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:14:24.457057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-12T01:18:30.762611Z

Reference resolution

73 of 73 outbound references displayed

  • verified exact9
  • verified fuzzy3
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b86a229-ffe9-455b-a865-de95bc54600a · outbound

This paper cites f(m0ntbE 3Wcdl *> ,^Jx /!i 3Vď'[ ̲VCIycF *U`.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches f(m0ntbE 3Wcdl *> ,^Jx /!i 3Vď'[ ̲VCIycF *U`

Reference 1

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metadata mismatch
raw_fallback, observed 2026-08-12T13:05:08.248529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:04.972276Z digest=sha256:40fcc0bcab94e30ce7543c5e0024a4b78055ed56a8c8a0f76e83db40ed4bb928

Observation 85767d9f-5d56-4387-96ba-e65f77c4e268 · outbound

This paper cites Finding radio transients with anomaly detection and active learning based on volunteer classifications.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Finding radio transients with anomaly detection and active learning based on volunteer classifications

Reference 2

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source=arxiv_source observed=2026-08-12T13:05:05.040295Z digest=sha256:f3f39e52cf53240a39b47290eb89ac0a8dce9e72b472a32ec7e098c354e493da

Observation bed2a7e1-fd91-4cd6-bbf2-2774edee2a31 · outbound

This paper cites P., Tollerud , E.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches P., Tollerud , E

Reference 3

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source=arxiv_source observed=2026-08-12T13:05:05.055761Z digest=sha256:60cf0b863d08978099fc6bb889687c57ac32822b05875fd46f136c99b7609351

Observation a828967a-213b-4655-9152-7460b64d3fc3 · outbound

This paper cites M., Sip o cz , B.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches M., Sip o cz , B

Reference 4

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no resolver link, observed 2026-08-12T13:05:05.062666Z

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source=arxiv_source observed=2026-08-12T13:05:05.062666Z digest=sha256:53e2659333533b64edeedf54a9fea71595fae9580c94610bf598083beb0232b1

Observation bb431a56-25ce-4559-8620-16272a450c0d · outbound

This paper cites M., Lim , P.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches M., Lim , P

Reference 5

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no resolver link, observed 2026-08-12T13:05:05.075301Z

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source=arxiv_source observed=2026-08-12T13:05:05.075301Z digest=sha256:0200e6775f65eb5bd206b99bc42449b48e4a45039af5ced9fc6b29d1e8ee3bf0

Observation 35874e12-4282-4ac2-bf98-c58b2bf86a46 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-12T13:05:05.082073Z digest=sha256:2ef7d0fcfee1e64e79ca2f038f169ac380a11ba5417600630ce8947672a2c7da

Observation 7bfc5a1b-ca7b-4b0e-9f2b-23dd9d2e7076 · outbound

This paper cites 2001, Machine Learning, 45, 5, 10.1023/A:1010933404324.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2001, Machine Learning, 45, 5, 10.1023/A:1010933404324

Reference 7

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no resolver link, observed 2026-08-12T13:05:05.089634Z

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source=arxiv_source observed=2026-08-12T13:05:05.089634Z digest=sha256:1fcb9f3baaa309b2149f0db217332fa5bb997cd0d46db7c02a2a461f719e313d

Observation a3e3e9db-6f17-484f-89a1-955de7fa044c · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-12T13:05:05.095860Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:05:05.095860Z digest=sha256:34415f3a43c836bb3305afdc8bffc032e884e6d2a75e19f9cf4f3de9a78c4ea3

Observation 5f468600-2e4f-4afe-937b-bcc1bc44c6e9 · outbound

This paper cites 2022, The Astronomical Journal, 163, 222, 10.3847/1538-3881/ac5e3d.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2022, The Astronomical Journal, 163, 222, 10.3847/1538-3881/ac5e3d

Reference 9

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source=arxiv_source observed=2026-08-12T13:05:05.101087Z digest=sha256:1aee4223795fe4835ffcb4ae9311f038d21d9db9952e22fdd25a5c36924102ed

Observation 6075d6fb-2fb2-4ebc-ac9e-2098df8b187f · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-12T13:05:05.106665Z

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source=arxiv_source observed=2026-08-12T13:05:05.106665Z digest=sha256:4e0bb4cf2627ff874108c9319cd1c8a40d41f85babe3cbf3cb75dce822b96468

Observation bd628c0e-ba2a-43f4-a549-a01f0c23348c · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T13:05:05.112683Z digest=sha256:5516d616dad4348320668039598fc005c70b22de6f5dab07697b7b64873922cc

Observation d732e60a-4ebe-4c42-a526-67786d086131 · outbound

This paper cites 2024, , 167, 10, 10.3847/1538-3881/acf576.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2024, , 167, 10, 10.3847/1538-3881/acf576

Reference 12

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source=arxiv_source observed=2026-08-12T13:05:05.121250Z digest=sha256:7d5f4bd26d58572c4d805c5204403677f402e144e400e20b670cddd60d566649

Observation 435cfe86-c2b5-4945-9311-40e2fcd690cd · outbound

This paper cites 1959, Nature, 184, 844, 10.1038/184844a0.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 1959, Nature, 184, 844, 10.1038/184844a0

Reference 13

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no resolver link, observed 2026-08-12T13:05:05.127365Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:05:05.127365Z digest=sha256:8e88fc59a3efd625eff49ba33ea7b8aba2fe231fc175642253292b52ebb230fb

Observation 6c899c5a-d5f8-4ea5-b97b-ed1791483f57 · outbound

This paper cites 2013, Python and HDF5 (O'Reilly).

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2013, Python and HDF5 (O'Reilly)

Reference 14

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source=arxiv_source observed=2026-08-12T13:05:05.133652Z digest=sha256:66d6574a523c578a3eef778f9691542640bd514671aa2f81fa24f6cc4a0bca16

Observation 4845c28d-c7b3-4e55-868b-cee78a3e750e · outbound

This paper cites A., Syed, T.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A., Syed, T

Reference 15

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metadata mismatch
raw_fallback, observed 2026-08-12T13:05:08.121950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.140975Z digest=sha256:3e79d949509759f1cb0842c22ee674d751f26b1c41c55649e29278cf981c1578

Observation 41f25a10-586b-4095-b03d-adb17eecf3a3 · outbound

This paper cites 1961, Physics Today, 14, 40, https://doi.org/10.1063/1.3057500.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 1961, Physics Today, 14, 40, https://doi.org/10.1063/1.3057500

Reference 16

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source=arxiv_source observed=2026-08-12T13:05:05.152030Z digest=sha256:1f08379144e3abcc5c490d109b1d02b723719b99baee28a148fa58b152eddb1e

Observation c8fa8e2b-8ba6-4a2f-8f58-27bd37081797 · outbound

This paper cites 2019, turboSETI: Python-based SETI search algorithm.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2019, turboSETI: Python-based SETI search algorithm

Reference 17

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source=arxiv_source observed=2026-08-12T13:05:05.157918Z digest=sha256:9aa8667b1ca3be89fb00bfe321a40437a7f70c74a975ce057673092491245aef

Observation c023151c-41c4-417b-8d4a-ff62a289b65f · outbound

This paper cites E., Siemion , A., Foster , G., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches E., Siemion , A., Foster , G., et al

Reference 18

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source=arxiv_source observed=2026-08-12T13:05:05.165224Z digest=sha256:59ab5522bce2a9a7c84b2bfefc55ed94ac17d7d5f0dcee31ca0e5b564038d3cd

Observation db07235c-7da7-41a7-99bf-a23342bb553a · outbound

This paper cites 1996, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD'96 (AAAI Press), 226–231.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 1996, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD'96 (AAAI Press), 226–231

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T13:05:08.368661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.172188Z digest=sha256:bbef77df923cd443ddab2846cf95673ad6ac298ebe9ba03a379d627dfbb2b73c

Observation 6fd86d0d-343b-47db-ab8c-27ca26c45144 · outbound

This paper cites 2024, , 529, 732, 10.1093/mnras/stae496.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2024, , 529, 732, 10.1093/mnras/stae496

Reference 20

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source=arxiv_source observed=2026-08-12T13:05:05.179411Z digest=sha256:52296749b0643286ef4564f0a0a5a8be3152d6888f6cb10e9216eda897382e03

Observation f4373b34-bbb0-4ae4-9ca6-88aced61179a · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-12T13:05:05.189014Z digest=sha256:710ce4a6a68e76973e36d956eadd29e3f0c677c617a01ccdca01048001d5ae8d

Observation a5b2727c-92f6-4fd6-b46e-f9b36151e3f8 · outbound

This paper cites I., Siemion , A.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches I., Siemion , A

Reference 22

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source=arxiv_source observed=2026-08-12T13:05:05.196039Z digest=sha256:2e4bc4864136a7d5f57e90699042a5796ef5d4b3062c80f62fcfaebaa992a87e

Observation cf620f44-de65-4d06-8ad3-3834f361e6f7 · outbound

This paper cites 2022, , 932, 81, 10.3847/1538-4357/ac6dd5.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2022, , 932, 81, 10.3847/1538-4357/ac6dd5

Reference 23

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source=arxiv_source observed=2026-08-12T13:05:05.205189Z digest=sha256:59b3303b8b78f5e30edbe65babb9319bc58637d89a669f0a80439b2f3c708c1c

Observation 7f8fccfe-f72b-4b81-ac80-7bae5bd88ad1 · outbound

This paper cites C., Fabbro , S., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches C., Fabbro , S., et al

Reference 24

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doi, observed 2026-08-12T13:05:06.320710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.213876Z digest=sha256:602788a3ce73317489004bbda13528d657c7108c8672c42dc15280be2914660a

Observation 7a83c0fb-65c6-4573-a427-d8623827d5d2 · outbound

This paper cites R., Millman, K.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches R., Millman, K

Reference 25

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source=arxiv_source observed=2026-08-12T13:05:05.220017Z digest=sha256:ea4d861e8eed14e4c1cf9dd9263ac5e74acafea40142ce3a27e95d846490936c

Observation ac5a2669-6743-41d9-8f08-44e758aba470 · outbound

This paper cites A., & Hartigan, P.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A., & Hartigan, P

Reference 26

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source=arxiv_source observed=2026-08-12T13:05:05.234933Z digest=sha256:e83b086bdc1378bb791b28b40fb34d05e4d97debea4530f3922eb5c8eadc39e6

Observation db50fbc6-dbe5-4977-948e-0e70ccd85d84 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-12T13:05:05.242584Z digest=sha256:4914c2cedbb83a53a8d8bab630b582bb9fbc237ac9c14941520fb401a3e47ff5

Observation 65c61f7b-3a7d-42fd-a431-5b0dc872f76a · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-12T13:05:05.247747Z digest=sha256:553266e99b4b53420abfc3bf1bdb81cb2728cdb668bb4b4a5c5f56dc452f52cf

Observation 06899f53-7c1e-442e-8664-5e448869aee4 · outbound

This paper cites N., & Gill, C.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches N., & Gill, C

Reference 29

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raw_fallback, observed 2026-08-12T13:05:07.764850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.253774Z digest=sha256:679ed01338222b6cc4126fb135e5690d2061e61609bae6e0f9f25dbd9fd84383

Observation f7bd7a2e-d56f-4781-9206-614ad929c1ab · outbound

This paper cites 2007, Journal of Modern Applied Statistical Methods, 6, 8, 10.22237/jmasm/1177992120.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2007, Journal of Modern Applied Statistical Methods, 6, 8, 10.22237/jmasm/1177992120

Reference 30

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raw_fallback, observed 2026-08-12T13:05:07.649036Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.259094Z digest=sha256:3ccd26e757d2f9a36babec224cb2d504438717d116738d31d7d84f1a15374da9

Observation 027ed075-7b34-4525-b48e-efd451db71da · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-12T13:05:05.265415Z digest=sha256:287631801dbb90afe6d51743413d17f939cb3ff91ede163e882cd08725f03afb

Observation 6243591c-34ec-4ed0-8737-bf9adc88011c · outbound

This paper cites S., & Ip , W.-H.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches S., & Ip , W.-H

Reference 32

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source=arxiv_source observed=2026-08-12T13:05:05.270609Z digest=sha256:ee4ff8340b50d91f180c61cfb4f0d658ce11f3a2b025c2a6884af74b9f74abdd

Observation a17ffd0a-674c-4129-92d9-9e1843522076 · outbound

This paper cites T., Ting, K.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches T., Ting, K

Reference 33

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source=arxiv_source observed=2026-08-12T13:05:05.278149Z digest=sha256:1cdc8a87a8d6fae9ee3605ce01094d9a47d4191f07be40c15afab39beed40e1e

Observation f3f91ac6-d2ae-4288-8cc4-ae2112fcffc5 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-12T13:05:05.284436Z digest=sha256:4d3db9c551b3dcec307e7a968f0673aa2bcfec4462e46977dd4d3f262a3caff6

Observation bd6776d2-8746-427d-9c51-e364a1331afb · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-12T13:05:05.290094Z digest=sha256:627cb3eea690cd54219beaed1a885b003b5581abb2295a00142d8b4a2aba4d33

Observation 39403521-943e-4b95-a8c1-6735e8f05fd3 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A Unified Approach to Interpreting Model Predictions

Reference 36

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source=arxiv_source observed=2026-08-12T13:05:05.296204Z digest=sha256:aa1f9f31827ecca9112d46f6e65fcdc274c4d75782ce27b36e8ac8057e64d893

Observation 42c10481-ed3f-46d9-beb1-acff02e55720 · outbound

This paper cites X., Ng, C., Rizk, L., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches X., Ng, C., Rizk, L., et al

Reference 37

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source=arxiv_source observed=2026-08-12T13:05:05.306361Z digest=sha256:104dcb888cea0c104ac84a93d2d4e35144c96fff758de7ea8c5f0c15bb4f1bca

Observation 8a6deb04-9ffc-4da5-af53-437c1d842a5b · outbound

This paper cites A Hybrid Approach To Hierarchical Density-based Cluster Selection.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A Hybrid Approach To Hierarchical Density-based Cluster Selection

Reference 38

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local_arxiv, observed 2026-08-12T13:05:06.142749Z

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source=arxiv_source observed=2026-08-12T13:05:05.311834Z digest=sha256:4b7cc818c5187f34d46568b1b8587230c06babefce933a31d4efb4717f2a32c9

Observation e2617d88-89d6-44f7-9a85-5095fc4916cc · outbound

This paper cites 2021, Statistical Analysis and Data Mining: An ASA Data Science Journal, 14, 144, https://doi.org/10.1002/sam.11498.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2021, Statistical Analysis and Data Mining: An ASA Data Science Journal, 14, 144, https://doi.org/10.1002/sam.11498

Reference 39

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source=arxiv_source observed=2026-08-12T13:05:05.317388Z digest=sha256:b6727fa71def330c5a3892570d449abb431d7f5ae7c2c3b6a080deb846973219

Observation e1aa6877-719b-4a87-8acf-1097c1db3379 · outbound

This paper cites 2021, The Astronomical Journal, 161, 55, 10.3847/1538-3881/abcc77.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2021, The Astronomical Journal, 161, 55, 10.3847/1538-3881/abcc77

Reference 40

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no resolver link, observed 2026-08-12T13:05:05.323480Z

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source=arxiv_source observed=2026-08-12T13:05:05.323480Z digest=sha256:fc7916666924ca7c7db48177528eb56b23471376edf514d5c975d4f8c2838e4c

Observation 7d29fe8b-568d-4697-a557-7fd7b7c2bc38 · outbound

This paper cites T., Matcheva , K., & Roman , A.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches T., Matcheva , K., & Roman , A

Reference 41

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source=arxiv_source observed=2026-08-12T13:05:05.328896Z digest=sha256:b0f947feb0bae377e9399b0f4ddf43d20eac99086c2a5dbaf155eec96e1f2636

Observation 3ebed373-9212-4e8e-b575-fbbe3885d287 · outbound

This paper cites 2017, in 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (IEEE), 10.1109/icdmw.2017.12.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2017, in 2017 IEEE International Conference on Data Mining Workshops (ICDMW) (IEEE), 10.1109/icdmw.2017.12

Reference 42

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source=arxiv_source observed=2026-08-12T13:05:05.335163Z digest=sha256:dd91e02efea6dfec26b136e82a696a19f3f101e01df38ce5a9858433dc5bc918

Observation dbc6bbfc-6c0a-4219-b1a3-3a5eb5e20f75 · outbound

This paper cites 2017, The Journal of Open Source Software, 2, 10.21105/joss.00205.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2017, The Journal of Open Source Software, 2, 10.21105/joss.00205

Reference 43

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source=arxiv_source observed=2026-08-12T13:05:05.340940Z digest=sha256:123ea96ee9cee649371abff9ed2e504b9953eea819500def91bee32f24946f9d

Observation d9613a4b-f206-4ac1-b936-3f6f59031632 · outbound

This paper cites 2010, in P roceedings of the 9th P ython in S cience C onference, ed.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2010, in P roceedings of the 9th P ython in S cience C onference, ed

Reference 44

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source=arxiv_source observed=2026-08-12T13:05:05.347254Z digest=sha256:29039c3c3aa8c4cbee8aac9a6873dcccc68b6ade1e92ea1bfdbba78f97586fbc

Observation f125f49a-0771-4827-8c9f-293e9d930314 · outbound

This paper cites J., Iacobelli , M., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches J., Iacobelli , M., et al

Reference 45

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doi, observed 2026-08-12T13:05:05.969279Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.352554Z digest=sha256:92347867036b55362682bc50c2a44628154f9c90b836b11be428474daa6c806b

Observation a0e60503-55d5-4fd9-8bcd-9541a1324d50 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-12T13:05:05.358405Z digest=sha256:3d22a19d07244e8d74f8bc0a57a516d482f5392c59cf1eb18f569776e4f4a9fb

Observation 0dfec617-19cb-4ffa-b3ff-c5b20ec63a26 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-12T13:05:05.363649Z digest=sha256:513447266786454980db5f927bdd5720b9e4ad844fe1d96bdc01054c98d38d28

Observation 6fd5d4f7-0084-4e96-ae7b-bd9f940a600b · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-12T13:05:05.369334Z digest=sha256:2afee45e2fff47540e5d2bf199ed783d0448d3e295345fa1eb2e29eed6a6171d

Observation d965bbb1-4c63-4d64-a16a-6aaa95716cba · outbound

This paper cites R., de Bruyn , A.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches R., de Bruyn , A

Reference 49

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no resolver link, observed 2026-08-12T13:05:05.374624Z

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source=arxiv_source observed=2026-08-12T13:05:05.374624Z digest=sha256:f3eb292b557a65f32c851f133411f827e4bd38bcbacc6ab86a60222388e0ca9b

Observation c7d86953-b3c7-4100-bdc8-93f1d5a79fff · outbound

This paper cites R., van de Gronde , J.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches R., van de Gronde , J

Reference 50

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no resolver link, observed 2026-08-12T13:05:05.381379Z

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source=arxiv_source observed=2026-08-12T13:05:05.381379Z digest=sha256:5499f472ca9b7fecb5beac795b3f11d91fcd3691f0f31107cfba0684e2fa104f

Observation 01ba9330-707e-41c3-a0a0-1fad4014f05e · outbound

This paper cites 2024, , in prep.\.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2024, , in prep.\

Reference 51

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raw_fallback, observed 2026-08-12T13:05:08.339586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.387616Z digest=sha256:f5cdf1161a8494341b07244e28bb1ce8170a1f799a46e26a128509540add24c6

Observation d39113db-a27d-4b07-8f1e-b6c7c41b2fa2 · outbound

This paper cites 2011, Journal of Machine Learning Research, 12, 2825.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2011, Journal of Machine Learning Research, 12, 2825

Reference 52

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no resolver link, observed 2026-08-12T13:05:05.394201Z

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source=arxiv_source observed=2026-08-12T13:05:05.394201Z digest=sha256:a76cc8d357fc680a5c3dda20b38964ab26357e20d95f486f00768d212b446dc9

Observation 14895a1e-5e3a-4fd2-bb93-35168a683887 · outbound

This paper cites A., Janczyk, M., Dale, R., & Freeman, J.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A., Janczyk, M., Dale, R., & Freeman, J

Reference 53

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verified exact
raw_fallback, observed 2026-08-12T13:05:07.093031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.401004Z digest=sha256:1c7d9cc4279e0c06abc4d9ccf7b540a5c18116580884a42ba01a7d1b54492a46

Observation 1e59a9c2-2d09-45ac-b8d2-d2a5d886c0b0 · outbound

This paper cites 2022, , 163, 76, 10.3847/1538-3881/ac426f.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2022, , 163, 76, 10.3847/1538-3881/ac426f

Reference 54

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no resolver link, observed 2026-08-12T13:05:05.407126Z

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source=arxiv_source observed=2026-08-12T13:05:05.407126Z digest=sha256:4904bc5243c43f16463f12752db0811de36a5b0b53c39500da1a41149bb0b906

Observation 771631b4-2424-4132-ad14-fb25bdda01a8 · outbound

This paper cites C., Enriquez, J.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches C., Enriquez, J

Reference 55

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no resolver link, observed 2026-08-12T13:05:05.412860Z

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source=arxiv_source observed=2026-08-12T13:05:05.412860Z digest=sha256:3faa3fafb71806fc104617efe02a86dcb8228f6c998e975ef3d27fd72fc61932

Observation bd4f8eec-fcbe-4711-83ce-48a7fedda53a · outbound

This paper cites C., Enriquez, J.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches C., Enriquez, J

Reference 56

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no resolver link, observed 2026-08-12T13:05:05.418667Z

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source=arxiv_source observed=2026-08-12T13:05:05.418667Z digest=sha256:3bd913eb30fe2cb5128f267c26e171206c969b63c8a4a552132287c20a5157d8

Observation c8f41e89-5965-4e46-9d78-97c730f4e0aa · outbound

This paper cites A., Forsyth , C., Aruliah , A., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A., Forsyth , C., Aruliah , A., et al

Reference 57

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verified exact
doi, observed 2026-08-12T13:05:05.868185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.424560Z digest=sha256:5a93f19024fafe01ab937fc70588613a6e1ab2fc4682779f1376fd2f5919e118

Observation c4898901-fe38-4885-816f-5cbe07318c71 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 58

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source=arxiv_source observed=2026-08-12T13:05:05.431037Z digest=sha256:7fe0e12037c491d3743767bcd7f6a54f5ce2e9db81d0c6e9e1065aa407435681

Observation c9d3ae12-542f-45f9-a10b-2831e988d4a0 · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 59

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no resolver link, observed 2026-08-12T13:05:05.438143Z

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source=arxiv_source observed=2026-08-12T13:05:05.438143Z digest=sha256:786f5cd9781d8bede1b5fe3da3af02795d56616c1da8eeede63710a54ffb483c

Observation f0494862-7fde-4c2b-aa2f-6d1be3f19c1e · outbound

This paper cites an unresolved cited work.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches Unresolved cited work

Reference 60

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no resolver link, observed 2026-08-12T13:05:05.444394Z

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source=arxiv_source observed=2026-08-12T13:05:05.444394Z digest=sha256:f819d52f6720bdfb883f1420bf76c17952b54347b4d4ec4396c27a879adde43d

Observation 4b73e159-4fa9-4987-a57b-adee464a38f2 · outbound

This paper cites A., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches A., et al

Reference 61

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doi, observed 2026-08-12T13:05:05.812287Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.450378Z digest=sha256:041d52f9a62adac741892637c53ce656072e3f60a600455a31272389354cad4e

Observation c082b725-bc18-4171-b896-5250faeeedcb · outbound

This paper cites K., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches K., et al

Reference 62

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:05:05.455884Z digest=sha256:b2db8902201b3a183284a71404f5e4ef438e6c8b5995c268c3bebc52cbfb2df2

Observation 7c6a244d-4221-4339-a911-cbeb407b8d99 · outbound

This paper cites 2023, , 165, 255, 10.3847/1538-3881/acccf0.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2023, , 165, 255, 10.3847/1538-3881/acccf0

Reference 63

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no resolver link, observed 2026-08-12T13:05:05.460978Z

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source=arxiv_source observed=2026-08-12T13:05:05.460978Z digest=sha256:905c750f3456d34039933d0de43caf4346617a9011d3f0279d00e10912d8e18d

Observation 0880b0fd-d0f5-4a37-ba01-78aa5bee74b2 · outbound

This paper cites 2022, Mathematics, 10, 10.3390/math10071042.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2022, Mathematics, 10, 10.3390/math10071042

Reference 64

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verified exact
doi, observed 2026-08-12T13:05:05.758053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.467062Z digest=sha256:2ed3f2c45600e8a222c37507eff7515fd1392ef8bdb38277bc65204f2c0ba32d

Observation 06342eed-6f7c-4882-96cf-63a41c9718fb · outbound

This paper cites 2021, , 161, 286, 10.3847/1538-3881/abf649.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2021, , 161, 286, 10.3847/1538-3881/abf649

Reference 65

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no resolver link, observed 2026-08-12T13:05:05.474002Z

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source=arxiv_source observed=2026-08-12T13:05:05.474002Z digest=sha256:cb828f6bb96765b2bc21419972749610678100286b287d69ea3424f692357120

Observation 4d84cb2b-f4fb-4b49-b04d-0b3efa4948df · outbound

This paper cites J., Ivezi\'c, Z ., & Gray, A.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches J., Ivezi\'c, Z ., & Gray, A

Reference 66

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source=arxiv_source observed=2026-08-12T13:05:05.482083Z digest=sha256:08c240d9f773c662a3adb72832f4e7e6e4784e068e14a684120162104368e4e2

Observation 61d90638-8f1a-4b87-af3b-bdd57f7b2fd3 · outbound

This paper cites T., & Ivezi\'c, Z.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches T., & Ivezi\'c, Z

Reference 67

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no resolver link, observed 2026-08-12T13:05:05.487903Z

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source=arxiv_source observed=2026-08-12T13:05:05.487903Z digest=sha256:8e758f63925a8248c17712ccbd98f2e23d24e9d04a00269cf7cd8d1e7b3c3192

Observation cb5d746f-7881-45e4-b363-b475b91733b4 · outbound

This paper cites E., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches E., et al

Reference 68

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source=arxiv_source observed=2026-08-12T13:05:05.498875Z digest=sha256:233b71a276f1f0096c7193a9fc032a040add13bd8d9f9257ae5eb09e3d3905ac

Observation 3dd079ed-6ab5-4602-ba77-ff00ffaca111 · outbound

This paper cites 2016, Distill, 10.23915/distill.00002.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2016, Distill, 10.23915/distill.00002

Reference 69

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source=arxiv_source observed=2026-08-12T13:05:05.506473Z digest=sha256:eb6514643ffa425f8f7cb7703d15d3d0845f83fa471b8a37f3568743ff86f053

Observation 3a98c9f5-6eb7-495c-9443-cd7403f692b9 · outbound

This paper cites 2025, in prep.\.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2025, in prep.\

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-12T13:05:08.278442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T13:05:05.515507Z digest=sha256:0fe3600ba760a02f9c8807302fb29911a587f02daf09730239d9f41af14c0a37

Observation 356a0c8c-14a1-4c60-8404-15b8c3ae1427 · outbound

This paper cites P., Drew, J., Siemion, A., et al.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches P., Drew, J., Siemion, A., et al

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:05:05.520920Z digest=sha256:3c984cb592fb1097c3ca978d7d9adab2197f3fb3d3daefdc7fdd747c11f64a0a

Observation d64e879c-035b-42c5-a2cb-75768f7e23c0 · outbound

This paper cites T., Griffith , R.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches T., Griffith , R

Reference 72

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no resolver link, observed 2026-08-12T13:05:05.527239Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:05:05.527239Z digest=sha256:f8f3305d087c59671342413f39121dbcc193a09ba2d9d5180e03f8df7dd90343

Observation 35fbc553-da66-487c-8e00-6800008513b2 · outbound

This paper cites 2023, , 165, 114, 10.3847/1538-3881/acb342.

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches 2023, , 165, 114, 10.3847/1538-3881/acb342

Reference 73

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no resolver link, observed 2026-08-12T13:05:05.535776Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T13:05:05.535776Z digest=sha256:a764774d12c159b378bc50cfd524666a01e94c67eda5960d5cba7cac9073f2d3

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Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

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source=arxiv_source observed=2026-07-12T01:14:24.457057Z digest=sha256:a133a0d2a633ad32d4f27b9284dfe5114ffe7c11337f4b879215039ef11b675c