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Paper Citation Record · LEDGER

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.14170.

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

pith.paper-citation-record.v1
2501.14170 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:49:28.347649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:23:24.656301Z

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 8da2b79a-a6f5-4044-8e5f-806f40ea7e9c · 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 Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.008334Z

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=2026-05-19T09:31:55.829045Z digest=sha256:953f4cd8a5f92a416d6ff5cce83e96eedf1e49b196f9c5a1654196e994dfaa90

Observation bfa8513b-3fc9-4a57-b3ae-09652c931f0c · 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 Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:28.347649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:28.347649Z digest=sha256:4ee5e1da794dbc3664e90a564be9a8d9b5c1e81234cadc28a65279d32677edb6

Observation 7ba71510-0c13-4f4e-bd25-766172d0725a · inbound

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

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T23:29:46.234809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:29:46.234809Z digest=sha256:14ba437f6a49d558ba03a75b0ea26820b32d5c0ed69a9f3badc4d99ee5d9c095

Observation e55d8f00-3159-44d5-bbcf-fa7dc13c7588 · inbound

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage cites this paper.

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:03:25.224813Z

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=2026-05-15T01:02:09.012006Z digest=sha256:05e918234d2ca05414bc24cf604b42b43565effc942e79c775207ade64a17e2a

Observation 2aa6205b-c1c8-4068-8374-866d48c231e6 · inbound

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence cites this paper.

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:23:24.658552Z

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=2026-06-29T12:13:58.111299Z digest=sha256:9338fcad3f7079ff5d6aa4fa86514bb472ee8df240b4b7f68757998dfbea4336

Observation b888d6df-5bbd-48ba-81c8-05439bfbadd0 · inbound

Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers cites this paper.

Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T15:29:53.923701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T15:29:53.923701Z digest=sha256:63849cbcb8de69d63614ec30703ab39ef513726ea6ac1f65fd66690de251fda6