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Paper Citation Record · LEDGER

Can LLMs Serve As Time Series Anomaly Detectors?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.03475.

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

pith.paper-citation-record.v1
2408.03475 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:18.056078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:08:21.806717Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 75ae5ac0-d944-4221-a3be-ec74c9056458 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Can LLMs Serve As Time Series Anomaly Detectors?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.462659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:7591e8ff7695eed91d4b447ba0bd0ab3170b595195c103f5777f4446e765d4cf

Observation 35730704-330e-49f5-8443-3f255e8b6c64 · inbound

Towards Time Series Generation Conditioned on Unstructured Natural Language cites this paper.

Towards Time Series Generation Conditioned on Unstructured Natural Language Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:18.056078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:59:18.056078Z digest=sha256:42919c344e37a102fb0bcc4602e6ccaa2e9a736e46a81a695ca1c39eb5934d0c

Observation f70c1cff-4e9d-4726-a6c3-49081102c407 · inbound

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding cites this paper.

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding Can LLMs Serve As Time Series Anomaly Detectors?

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T16:57:24.085163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:57:24.085163Z digest=sha256:957283e920c1d803a00d7530e7a4201e2ce0d0213fe1a06c84bff54e34bd3136

Observation 7f2fdb6d-cf71-4fa6-b8bb-be02c00dc4ab · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:01.156871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:01.156871Z digest=sha256:980797965f8db0313ab24866b9012af4aab890222f8d9c574b7763566bea8625

Observation 2fb4d806-6083-4126-bae0-bede3d71d078 · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Can LLMs Serve As Time Series Anomaly Detectors?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:27.831633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:27.831633Z digest=sha256:10b80b9273a8184edadd6af0494431759e29ba2cedf51a9f0087a2e39a026561

Observation 553a2c13-9ba0-49dc-ad7f-71629e23096f · inbound

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning cites this paper.

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning Can LLMs Serve As Time Series Anomaly Detectors?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T23:29:45.967507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:29:45.967507Z digest=sha256:84627d93b99c42e460f95f1656ae2d156a6591c5586d0449a8bd0a68bf6e213b

Observation 4ff906f2-a92e-4a3b-a5cc-98163870b092 · inbound

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection cites this paper.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:08:21.808250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T00:04:05.071623Z digest=sha256:d3254ceb88e8c5968cd83e8edbdc0980d5e4e865eef3bf9caa033809c1e833a8

Observation c6cb2ec8-f26f-4ddb-b1d5-fdf1d8ae607b · inbound

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection cites this paper.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T17:22:59.771104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:22:59.771104Z digest=sha256:ba9c5682fc15b085abcd96834d4148d2a9b96274293ef2bbf5c74ed6ba154182