Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:28:03.160877Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.21273.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:28:03.160877Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
21 of 21 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6943f155-dcc8-4d50-afe3-36a39ca398aa · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams A decoder-only foundation model for time-series forecasting
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 949d69ba-61ea-4af9-8db1-f3d7ca6ffd6e · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams MOMENT: A Family of Open Time-series Foundation Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05f6bf64-0518-4f82-ac5a-4d4fb2be6e0c · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams LoRA: Low-Rank Adaptation of Large Language Models
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fb4974c-9414-4ed8-afe5-9c1249ac10e2 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Generic and scalable framework for automated time-series anomaly detection
Reference 9
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.
Observation 062880b6-1975-4c44-b77e-5ad2f413b9c3 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Foundation Models for Time Series Analysis: A Tutorial and Survey
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbf9434e-8f09-4457-b6f1-1e5befeae4f6 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c5c5b43-e23c-4579-9405-2e16353d7e23 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams TimeGPT-1
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c44c257-25e7-4131-b428-226dfb3c8384 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Deep Learning for Time Series Anomaly Detection: A Survey
Reference 15
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.
Observation 4ad92c6e-92e3-47aa-820b-27de669c2013 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Large Language Models for Data Annotation and Synthesis: A Survey
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94f5680b-9aa9-4615-9a5e-4e906ffacaab · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26476ef5-3def-4c39-9060-c0481c755eea · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Trip-llm: A tri-branch patch- wise large language model framework for time-series anomaly detection
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f047f4-1310-4320-b3d5-024e0c62c565 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Han Zhao, Yuxiang Wang, Juanyong Duan, Chen-Kuo Huang, Dongjie Cao, Yanjie Wang, and Leman Akoglu
Reference 20
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.
Observation 9cc10a9c-b64b-4c97-8055-ceb281b8f803 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Study of instabilities and outbursts in luminous blue variables AF And $\&$ R 127
Reference 1980
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.
Observation f2d72e16-2796-4714-96c5-85046a50f400 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Unresolved cited work
Reference 1995
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation def5e55a-038f-4829-91b5-53d6193121d7 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Reference 2015
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7c1e5c8-efeb-4b69-b8e5-7ba9f92caaaf · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Can multimodal llms perform time series anomaly detection? arXiv preprint arXiv:2502.17812,
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bb18e5c-2c30-49c6-9692-5e03fd4e7d12 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9940fff-949f-49e0-b54c-280a945fc266 · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Yuan-Cheng Yu, Chun-An Lin, Yen-Chieh Ouyang, and Wen-Chih Peng
Reference 2021
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.
Observation 718da173-8d94-4f58-a72c-26a46e90dbeb · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Financial Fine-tuning a Large Time Series Model
Reference 2023
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.
Observation 6f4d4f04-82ff-4b5d-9b99-2188c1b1052b · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
Reference 2024
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.
Observation 850f5e68-a4b0-42d7-ba0e-f8e3dd2b085b · outbound
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Chronos: Learning the Language of Time Series
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.