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Paper Citation Record · LEDGER

Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.01980.

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

pith.paper-citation-record.v1
2409.01980 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:34:14.379095Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4232b27c-c293-40b9-be09-6c27fa52ebcf · inbound

Foundation Models for Anomaly Detection: Vision and Challenges cites this paper.

Foundation Models for Anomaly Detection: Vision and Challenges Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T16:34:14.379095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:34:14.379095Z digest=sha256:11692460420de271c6582869038193d3ff1353cce2d56f25fc781a306a78630d

Observation 8824dfc3-a391-44da-b92e-0cc713a8bc38 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:22.232271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T09:38:04.387777Z digest=sha256:68af021547c7b16e8f72f97de30d0868b1772a6db80447c1486849e6e9f77f88

Observation 767e96e0-c0c7-4d4f-8938-3e442a7e95b6 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:21.344656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T09:38:04.387777Z digest=sha256:103c21cfe67f7ebab2fccc9a8e14d7f57c5721df4b34288667b14a2e988e6bae

Observation 3e377bf9-335e-43c3-a57e-8f6028e00f3e · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:34:58.049292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T17:17:39.899234Z digest=sha256:4c2b8a5c90dbd0c6c6302e65115cdfb240a9b08649b3d823c242c1b828fa3b5b

Observation 63b633a9-2f8f-49b7-9dcc-5f31462fc7b5 · inbound

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection cites this paper.

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:21.424918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T06:24:18.318819Z digest=sha256:d4c9e72e356f73a88e344ce3e158a1d1b75748180211e3c2c3ec796aa85e760e