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Paper Citation Record · LEDGER

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2502.07359.

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

pith.paper-citation-record.v1
2502.07359 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:05:06.346153Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

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  • verified fuzzy3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46ab55bf-c1a3-437c-8dc0-6b904fb39978 · outbound

This paper cites an unresolved cited work.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 1

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Observation 72690813-2bcf-474a-928c-2a43a08b1047 · outbound

This paper cites S¨ oderstr¨ om, G.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach S¨ oderstr¨ om, G

Reference 2

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verified exact
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This paper cites an unresolved cited work.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 3

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Observation 4289e8b4-6800-4ced-8422-7dce72f3b8be · outbound

This paper cites Wolski, M.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Wolski, M

Reference 4

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Observation ce480fef-5b58-4358-b5fe-6eedcc3df9e5 · outbound

This paper cites Bayat, N.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Bayat, N

Reference 5

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This paper cites an unresolved cited work.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 6

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Observation 64945ab8-4578-4d6d-a0fe-c06cf6b17541 · outbound

This paper cites Liu, B.-Q.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Liu, B.-Q

Reference 7

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Observation cf839ccb-a23e-4c7f-b1c6-2ed3bb13b1a6 · outbound

This paper cites an unresolved cited work.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 8

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Observation 5aecb6aa-1ab1-48d0-92c7-cd77065a2295 · outbound

This paper cites Liu, Y.-X.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Liu, Y.-X

Reference 9

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This paper cites Liu, M.-Z.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Liu, M.-Z

Reference 10

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Observation 74bb4397-23a5-4c3d-b58e-43415785f245 · outbound

This paper cites Liu, H.-R.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Liu, H.-R

Reference 11

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Observation 8b454617-6bcf-46f9-94d1-36767c0b547d · outbound

This paper cites Fabian, G.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Fabian, G

Reference 12

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 13

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 14

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Doucet, T

Reference 15

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Observation 618feceb-98d0-47eb-ba85-11fa5f9159c5 · outbound

This paper cites Hachem, Y.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Hachem, Y

Reference 16

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Zhang, Z

Reference 17

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 18

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 21

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Argueta, I

Reference 23

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 24

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This paper cites Alharbi, Distance metrics for digital pulse-shape discrimination of scintillator detectors, Radiation Physics and Chem- istry 156 (2019) 205–209.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Alharbi, Distance metrics for digital pulse-shape discrimination of scintillator detectors, Radiation Physics and Chem- istry 156 (2019) 205–209

Reference 25

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This paper cites 7B30_SIP-E3-CLYC-X.pdf , accessed: 2025-04-10.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach 7B30_SIP-E3-CLYC-X.pdf , accessed: 2025-04-10

Reference 26

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 27

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Paszke, S

Reference 28

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 29

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 30

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Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8894dd7e-bbfa-471c-ac0f-ec42fbfe834d · outbound

This paper cites Maedgen, B.

Towards energy-insensitive and robust neutron/gamma classification: A learning-based frequency-domain parametric approach Maedgen, B

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.