Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2411.02465.

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

pith.paper-citation-record.v1
2411.02465 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:27:13.382644Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:06.936775Z

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 8e731a59-de12-4688-87f5-4b8a4280c30f · inbound

Harnessing Vision Models for Time Series Analysis: A Survey cites this paper.

Harnessing Vision Models for Time Series Analysis: A Survey See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T23:27:13.382644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca5c8ab-4fb8-404a-aec2-81a973d64ec0 · inbound

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework cites this paper.

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:17.758470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76185f62-ebbd-46ab-ba68-8f4e11e12410 · inbound

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? cites this paper.

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:15.160642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed83cda-cb34-48ff-a725-afb3f2fcda15 · inbound

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection cites this paper.

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 52

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:46:58.571644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f200a7-17c5-405b-b26a-6f2f1d5a1e90 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.968384Z

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.

Observation d0da3512-37e2-482e-9111-3e75cd1eeace · 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 See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-04T16:49:35.001372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890d4d18-5614-414b-b66e-3259c3b19506 · inbound

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection cites this paper.

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T03:12:07.620599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc001693-bfed-423b-80b2-b5e2c2953ae0 · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:25.304793Z

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.

Observation 321eef69-6a89-4464-83cb-f078c0f24361 · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.241057Z

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.

Observation e68fa96b-079f-4898-8045-709bc55a4796 · inbound

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models cites this paper.

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.259335Z

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.

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

DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN cites this paper.

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 2026-08-09T06:31:02.800959+00:00.