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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:42.985581Z digest=sha256:313d2c44d07504b3259221b57cf4399f95036a4f9dedcf37ed028ee61d22913e

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=sha256:3d67d3c55b952dfe8ead010774fde3fd3809df22664906cf2866685e51dafe78

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.174028Z digest=sha256:738b02db2bdef3185628d536d486f22356529d07a6d0cde0d96e921b123ed79c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.280721Z digest=sha256:78a311c683ca11a359c8990c3d81fa083e03cef902cdb2b2181519630a62016f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.357193Z digest=sha256:53eb5a5c3671aaebf6096d436b6ec0ab20e4fa3ee7fb6b8e2dacae7b6e0aa4e0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.442176Z digest=sha256:951eb6358933035ada72566b7a559973e6f350abf6415de8d7621944385888ad

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.523737Z digest=sha256:29971c163a61749656389052560307a856540243451e3a8097f2cd780bad3bf8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.621654Z digest=sha256:fd3ed10e2c9dd5abc15e9992ca3b66643bedbc245d9bfc2c48bd3394b34d26d8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.722165Z digest=sha256:55e60f72fae7f06566c68b4e3862ac85890ea72f301802a93a728717a17e3322

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.830299Z digest=sha256:c14639476a4df5d519ad67267548cb9f1e9955be598affae3c41b813b240cad5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:43.968500Z digest=sha256:29f66fe39ed3c9e17e3a741ea63d6733247fd7fcf6083d517490d471e83481a4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.091333Z digest=sha256:213b476f45ef9594f43fbdd416cba4153890e53ac839b69c6c6ed28e72d6d500

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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raw_fallback, observed 2026-08-05T23:48:48.905792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.176092Z digest=sha256:a83d6dec38e44ae0d2dac0a5643ecaa37f5f63da1ab9080948d98e3dc89f0a27

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.247242Z digest=sha256:9fc264b3634d3531b017942a8c98e213307118594e4b6a453decf7386e137bd8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.360561Z digest=sha256:e8ca280fc9f954e53efa5ce02bbb3ed49af2316208be5920994e01c61f8025fb

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.488680Z digest=sha256:6e8baaf21e167d61998140f334253fffd9a1a59b51a64e0ff8a65408c9315f20

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 2026-08-23T06:30:58.430688+00:00.

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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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:44.985918Z digest=sha256:981960b5450cdb4f39dfe74676fc2518d3c085c541d16c97a1768901eb1589c0

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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raw_fallback, observed 2026-08-05T23:48:47.545907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.107789Z digest=sha256:0bf78bd2f8ec762bb271b5e47f37e8969901239cf60bd75486120402623cc6cf

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.206328Z digest=sha256:6358843af9ddf1d59b7332bb5082c105091e73387f17ed4d36ce8dc2c155c946

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=sha256:99001ea1bcea3c9217b3fd76eddbd34470742cc22a3f8599e6a788b8b0b0d36b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.349438Z digest=sha256:f8b5fd473b464b176ae9a302f936b4a61dc98983a5022a1e689095fed74b2aa6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.385792Z digest=sha256:963cab0e9465f9c7bc44821bb8226cb46ff6f96a7d90f0ef749438164729ac23

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.428713Z digest=sha256:59bb80e7859efe01f9240c889e0e40c901ccf259e11d0040a7e9e4cd0698f5c2

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=sha256:66e0edf902cac9bf0012880f7a3861a1e8798ba1f2efa6a307b1172344d6187b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.523661Z digest=sha256:074b5a1736ee5b21f06cb00d3f64763314d688bd593d101f24414786c430f35b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T23:48:45.595198Z digest=sha256:f00778f14f3dd2c834e10c1629327c646ff198c046420b669724a743f9f1def9

Pith citing papers

No inbound Pith citation observations are available.