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Paper Citation Record · LEDGER

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.05695.

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

pith.paper-citation-record.v1
2508.05695 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:48:45.595198Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy26
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1856cb8b-fbdd-4688-8e74-ffb1b914b49c · outbound

This paper cites LAN: Learning adaptive neighbors for real-time insider threat detection,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection LAN: Learning adaptive neighbors for real-time insider threat detection,

Reference 1

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raw_fallback, observed 2026-08-05T23:48:51.270327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation cc32d488-e474-495d-972f-09c17c631473 · outbound

This paper cites Two- stream isolation forest based on deep features for hyperspectral anomaly detection,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Two- stream isolation forest based on deep features for hyperspectral anomaly detection,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:42.985581Z digest=sha256:d889f0a2d688699c73afc5a8b25a773ce4efbc2fb59bf397847f59eef94c6f38

Observation dc1821d9-22c8-4073-a30f-91d65bb2464e · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 3

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no resolver link, observed 2026-08-05T23:48:43.078706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:48:43.078706Z digest=sha256:df1ded88b338de1983e006b0ee676f33676a8384e140ec2a8cb0f75766aecb58

Observation c3190548-996e-428f-a748-cac8900fa8e2 · outbound

This paper cites DeepLog: Anomaly detection and diagnosis from system logs through deep learning,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection DeepLog: Anomaly detection and diagnosis from system logs through deep learning,

Reference 4

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raw_fallback, observed 2026-08-05T23:48:50.797525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.174028Z digest=sha256:6de4e485cc1692f03fa186064c939142bad5bfb5ea8188fbf00fd4812179372b

Observation d4bb4f58-11f8-4a26-8edd-97adad28aa3d · outbound

This paper cites Unsupervised anomaly detection with LSTM neural networks,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Unsupervised anomaly detection with LSTM neural networks,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.280721Z digest=sha256:a98059c4929c09b8e24112a531d3e5d37ea656b58be63c6161b187b035f693d8

Observation c7808a53-110f-4545-85eb-ef7e4dd34e7e · outbound

This paper cites 2024 Insider Threat Report,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection 2024 Insider Threat Report,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0ae8d3f3-1bb9-4157-ab3c-1f6df01f1300 · outbound

This paper cites Graph-based insider threat detection: A survey,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Graph-based insider threat detection: A survey,

Reference 7

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raw_fallback, observed 2026-08-05T23:48:50.127376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.442176Z digest=sha256:d221a0153b55015e3589c24a3165845087e42655d9ed6f5a702d0810560c584a

Observation 39657db0-a4a3-43ff-a70c-b7648e036bbd · outbound

This paper cites Cybersecurity forecast: Insider threat landscape,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Cybersecurity forecast: Insider threat landscape,

Reference 8

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raw_fallback, observed 2026-08-05T23:48:46.150265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.523737Z digest=sha256:c616b8d9b6df8c1c38e315d6796708d131ba326e41c243fe0d8a069117e52dc7

Observation bcfb1d13-6a3d-41f6-8585-b1d4713917b7 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Mamba: Linear-time sequence modeling with selective state spaces,

Reference 9

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raw_fallback, observed 2026-08-05T23:48:49.895014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.621654Z digest=sha256:1309c3523ad91dc67ead83e4b4173a15a2c9f63ad1618ece185d3b72164141b0

Observation 35ccd0a5-2e58-4fa2-90bd-9fe5eff317b0 · outbound

This paper cites LogBERT: Log anomaly detection via BERT,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection LogBERT: Log anomaly detection via BERT,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.722165Z digest=sha256:53d8e188ae0c5c87b8a7a9bba2e0b4513fcab580caac7d454aa061d3946d16f8

Observation d96479d7-4376-41df-92d0-34cc0ffd0356 · outbound

This paper cites Perfor- mance analysis of image thresholding: Otsu technique,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Perfor- mance analysis of image thresholding: Otsu technique,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.830299Z digest=sha256:b0e9f0ac4040eca47e99abff8e39df857835500a39ae6a50333055226e379cf0

Observation 5795ed59-e11a-474e-b946-eb766c963ac0 · outbound

This paper cites MambaAD: Exploring state space models for multi-class unsupervised anomaly detection,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection MambaAD: Exploring state space models for multi-class unsupervised anomaly detection,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:43.968500Z digest=sha256:d323f7cea9b259564e53804dc0488fe68a8dabe3fdc343f6df6f2ae11fa4fc58

Observation 8a0aa8ae-4e37-4f5a-bc5b-68b8da30312f · outbound

This paper cites ITDBERT: Temporal-semantic representation for insider threat detection,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection ITDBERT: Temporal-semantic representation for insider threat detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.091333Z digest=sha256:e351b9efb441baba5add7b45d1d5a44a31dbac22df6b84efd0d2de12c406b2c7

Observation 807c8ed4-930e-4289-9d4d-40f50e84ee82 · outbound

This paper cites Insider threat mitigation: Systematic literature review,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Insider threat mitigation: Systematic literature review,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.176092Z digest=sha256:faf620c583c6b7c04642788d4a11092cb88437af2c9e4eb044ff814320572f0f

Observation 1c47b875-3909-402c-b6e2-7288dd160aa2 · outbound

This paper cites MambaAD: A novel approach for anomaly detection using state space models,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection MambaAD: A novel approach for anomaly detection using state space models,

Reference 15

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raw_fallback, observed 2026-08-05T23:48:48.704437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.247242Z digest=sha256:c4f04b6161ea989251a42d9bffa4ca65ceb7ba784fc6742e3bed779f43654bfd

Observation bdf9ee82-bb82-4824-b672-d64a92dd8146 · outbound

This paper cites VideoMamba: State space model for efficient video understanding,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection VideoMamba: State space model for efficient video understanding,

Reference 16

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raw_fallback, observed 2026-08-05T23:48:48.541198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.360561Z digest=sha256:927a3671cf758bfe34c3ae46b759342ae64afe37df4c5f890276ab28e2003865

Observation fe94f3d4-15b1-43dc-9664-b52ccc99b858 · outbound

This paper cites MDDMamba: A model for multi- modal depression detection with a memory-saving cross-modal attention mechanism based on Mamba,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection MDDMamba: A model for multi- modal depression detection with a memory-saving cross-modal attention mechanism based on Mamba,

Reference 17

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation dfc4361a-30b8-49ee-a120-75b91e2d9860 · outbound

This paper cites In: IEEE Trans.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection In: IEEE Trans

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.488680Z digest=sha256:9487fa97a85fe90390bca74a649c45341d85cbe03e0bb422a3b558502f0f0b36

Observation 917ac944-a510-4525-a47e-ac83c3b89119 · outbound

This paper cites Insider threat test dataset,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Insider threat test dataset,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.623873Z digest=sha256:78e292aa08226b18933ea2475624a4cb65f7d15a9686c48647accd59a1bb11d1

Observation 5e252c68-0c0c-47d3-87c0-db023a43911a · outbound

This paper cites A hybrid model based on multi-dimensional features for insider threat detection,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection A hybrid model based on multi-dimensional features for insider threat detection,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7bf1d7f2-dd31-41a9-96a4-3aedc0989874 · outbound

This paper cites Optimising insider threat prediction: Exploring BiLSTM networks and sequential features,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Optimising insider threat prediction: Exploring BiLSTM networks and sequential features,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.859927Z digest=sha256:19b9790d32259c248d3d5e018b6d55b062de4e4a2dadcf11201b7f5fb3728b18

Observation 041f4595-4f56-4587-b8fe-85b8c22e7fd6 · outbound

This paper cites Evolving techniques in cyber threat hunting: A systematic review,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Evolving techniques in cyber threat hunting: A systematic review,

Reference 22

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raw_fallback, observed 2026-08-05T23:48:47.709629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:44.985918Z digest=sha256:846234fa9da3d9b82e4909d3ed2849f4fedbbbc74d48e5fa7fe5301e93fc77ea

Observation 80f0f6a5-ac03-4697-8265-5e6a620d062c · outbound

This paper cites Enhancing industrial anomaly detection with Mamba-inspired feature fusion,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Enhancing industrial anomaly detection with Mamba-inspired feature fusion,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.107789Z digest=sha256:0d89afa6be6c6cde254deda98da842ea99abc10a27553e36f766c0c77f80912f

Observation d1e78f4f-3823-4f67-aae2-31cf5b792ec0 · outbound

This paper cites Temporal feature aggrega- tion with attention for insider threat detection from activity logs,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Temporal feature aggrega- tion with attention for insider threat detection from activity logs,

Reference 24

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raw_fallback, observed 2026-08-05T23:48:47.291503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.206328Z digest=sha256:de884796eab5d4e4edbdae17ff5c7b87a1c8b72cbcd88da5a588c453723ef416

Observation 6a26e01e-aeb0-45b4-a177-f05e60e16fe6 · outbound

This paper cites A Survey of Mamba.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection A Survey of Mamba

Reference 25

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no resolver link, observed 2026-08-05T23:48:45.315127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:48:45.315127Z digest=sha256:469b7dd93873bd10b28149eef08bea70cc5e26b6d4c162829961ea80744c7cf8

Observation 56d18695-445b-4151-a89a-047f433061ec · outbound

This paper cites A new take on detecting insider threats: Exploring the use of hidden Markov models,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection A new take on detecting insider threats: Exploring the use of hidden Markov models,

Reference 26

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raw_fallback, observed 2026-08-05T23:48:47.086761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.349438Z digest=sha256:c509d23e05b06061c3b3403077cb72295c795bacdff288eba5ef3f61fa09451c

Observation 4176893b-b6c3-4bea-ae45-60b7bd440939 · outbound

This paper cites An LSTM- autoencoder based online side channel monitoring approach for cyber- physical attack detection in additive manufacturing,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection An LSTM- autoencoder based online side channel monitoring approach for cyber- physical attack detection in additive manufacturing,

Reference 27

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raw_fallback, observed 2026-08-05T23:48:46.821443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.385792Z digest=sha256:d211cbfff5777ff35f3d7d6b0386b76db1fc245f4eacce8312b1dc5ea974447d

Observation c024f3d9-d23a-403d-9c84-1e9cd195c836 · outbound

This paper cites Hunting for insider threats using LSTM-based anomaly detec- tion,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Hunting for insider threats using LSTM-based anomaly detec- tion,

Reference 28

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raw_fallback, observed 2026-08-05T23:48:46.688611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.428713Z digest=sha256:01e219d254f1a1ee863a0732fe740dde806846507f763d5c2b6d986f710dcf28

Observation 16622d72-9994-429c-89b0-a8939c0ea07b · outbound

This paper cites Attention Is All You Need.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Attention Is All You Need

Reference 29

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no resolver link, observed 2026-08-05T23:48:45.467535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:48:45.467535Z digest=sha256:efd5d14eed68c7e35174e7ecc9ceb8217ec655d410a130d39e990601669ba08f

Observation dadee3e7-069a-43b9-a55a-d544eb4eb3ae · outbound

This paper cites Unveiling shadows: A comprehensive framework for insider threat detection based on statistical and sequential analysis,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Unveiling shadows: A comprehensive framework for insider threat detection based on statistical and sequential analysis,

Reference 30

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raw_fallback, observed 2026-08-05T23:48:46.495050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.523661Z digest=sha256:8dd494df97a35c3c1b8b8c29e57444affb3cfe6ba237c7e941c25e951e0e129c

Observation 3b5d2a28-3133-48e7-8ccd-0d0a6f59d624 · outbound

This paper cites Filter-enhanced MLP is all you need for sequential recommendation,.

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection Filter-enhanced MLP is all you need for sequential recommendation,

Reference 31

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raw_fallback, observed 2026-08-05T23:48:46.355492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T23:48:45.595198Z digest=sha256:cfac2c4df2aa7feaa8893f675426ad2e621cbbbe1f01a25501b8073a1807fec2

Pith citing papers

No inbound Pith citation observations are available.