Paper Citation Record · LEDGER

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN

As of 4 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.06261.

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

pith.paper-citation-record.v1
2606.06261 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:14:45.350459Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b15ded12-e5e7-4657-a7bf-de8e7d8699a0 · outbound

This paper cites O-RAN Security Threat Modeling and Remediation Analysis 4.0,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN O-RAN Security Threat Modeling and Remediation Analysis 4.0,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d2fa8e-a492-4d50-9b62-c3effb59c7b7 · outbound

This paper cites A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2e3893-25a0-43d3-8226-8c39b5d3d587 · outbound

This paper cites Marina, and Bozidar Radunovic.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Marina, and Bozidar Radunovic

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T23:21:23.502009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57c13196-843f-4d7c-966c-ccaa6081d955 · outbound

This paper cites Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection,

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T23:21:23.504494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49593be0-64e0-4dbb-b2b4-1d2ed2d523d0 · outbound

This paper cites Harnessing Vision- Language Models for Time Series Anomaly Detection,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Harnessing Vision- Language Models for Time Series Anomaly Detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04fbc205-c9d3-4d31-8f0f-089586f8d9f5 · outbound

This paper cites Can Multi- modal LLMs Perform Time Series Anomaly Detection?.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Can Multi- modal LLMs Perform Time Series Anomaly Detection?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81bb976f-43d6-49d1-88af-45f0a5c9c46e · outbound

This paper cites Effective troubleshooting,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Effective troubleshooting,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3461862e-69e0-48bc-abde-96ff4beeb9db · outbound

This paper cites Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa5e14b-a2ae-451b-9bfd-a5288e2fed5e · outbound

This paper cites Attacking O-RAN Inter- faces: Threat Modeling, Analysis and Practical Experimentation,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Attacking O-RAN Inter- faces: Threat Modeling, Analysis and Practical Experimentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136b0e76-57ef-4b23-94ff-d9318fbeecc4 · outbound

This paper cites TESSERACT: Eliminating Experimental Bias in Malware Classifica- tion across Space and Time,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN TESSERACT: Eliminating Experimental Bias in Malware Classifica- tion across Space and Time,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5ca96b-60b3-4277-8210-08f4e715b61b · outbound

This paper cites See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:57:06.938409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88d3a8ac-2feb-4d33-8bcb-b48cce56ec10 · outbound

This paper cites AI- on-RAN for cyber defense: An XAI-LLM framework for interpretable anomaly detection,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN AI- on-RAN for cyber defense: An XAI-LLM framework for interpretable anomaly detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1980e65d-41af-400b-889e-4eb3808cba15 · outbound

This paper cites FALCON: An Accurate Real-Time Monitor for Client-based Mobile Network Data Analytics,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN FALCON: An Accurate Real-Time Monitor for Client-based Mobile Network Data Analytics,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3796e8a-e954-4bc3-b88b-15b500e11f0b · outbound

This paper cites Po- sition: Quo Vadis, Unsupervised Time Series Anomaly Detection?.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Po- sition: Quo Vadis, Unsupervised Time Series Anomaly Detection?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c0e040-ef80-4683-a004-3d10bdcf58a6 · outbound

This paper cites Precision and recall for time series,.

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN Precision and recall for time series,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T23:14:45.350459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.