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Paper Citation Record · LEDGER

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams

As of 18 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.

pith.paper-citation-record.v1
2508.21273 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:28:03.160877Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6943f155-dcc8-4d50-afe3-36a39ca398aa · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

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

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no resolver link, observed 2026-08-05T14:28:01.651753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:01.651753Z digest=sha256:40c4285229f6e3f465778a299127b31d7243242e4f12f65425bbb80c474ae416

Observation 949d69ba-61ea-4af9-8db1-f3d7ca6ffd6e · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

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

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no resolver link, observed 2026-08-05T14:28:01.983695Z

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source=pdf_text observed=2026-08-05T14:28:01.983695Z digest=sha256:7b028c261d00cf79730c62791e011e12b80f00c32da7f1fbe439af531192fc47

Observation 05f6bf64-0518-4f82-ac5a-4d4fb2be6e0c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

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

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no resolver link, observed 2026-08-05T14:28:02.135249Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.135249Z digest=sha256:23796c3cb58d889dc56ee32545f35fe3074cb1bdc5a08767716b2ba32326958f

Observation 0fb4974c-9414-4ed8-afe5-9c1249ac10e2 · outbound

This paper cites Generic and scalable framework for automated time-series anomaly detection.

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

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verified fuzzy
raw_fallback, observed 2026-08-05T14:28:04.999848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:02.168206Z digest=sha256:a4e813efd4b4fa51f26276432ba1d7a222fbc2410cd3abefbe629e1d88331c65

Observation 062880b6-1975-4c44-b77e-5ad2f413b9c3 · outbound

This paper cites Foundation Models for Time Series Analysis: A Tutorial and Survey.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.294447Z digest=sha256:b804a465a4fb5166d1e0a0f671e806830a38ea869438845a399e66abe11fb5d4

Observation dbf9434e-8f09-4457-b6f1-1e5befeae4f6 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

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

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no resolver link, observed 2026-08-05T14:28:02.468019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.468019Z digest=sha256:cb246ccd6b6ed0cd348f0375e4eb017120513b689c4c155b9e776e64e47b2125

Observation 2c5c5b43-e23c-4579-9405-2e16353d7e23 · outbound

This paper cites TimeGPT-1.

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams TimeGPT-1

Reference 14

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no resolver link, observed 2026-08-05T14:28:02.542035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.542035Z digest=sha256:f50e3187c2b7185481b5976fd52f3bc9974a7a0c9134918e78da4734f25881c6

Observation 8c44c257-25e7-4131-b428-226dfb3c8384 · outbound

This paper cites Deep Learning for Time Series Anomaly Detection: A Survey.

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

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metadata mismatch
local_arxiv, observed 2026-08-05T14:28:03.854747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:02.607234Z digest=sha256:9da9465f2e2d7dcb443ad7c385d5b8a91fa55c1d49f772dde76b4f0a9b950cea

Observation 4ad92c6e-92e3-47aa-820b-27de669c2013 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

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

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source=pdf_text observed=2026-08-05T14:28:02.656217Z digest=sha256:a8401af7a0d723951c867711a4c28f1ae05c6085cb115d66b817e9b956bb6b6a

Observation 94f5680b-9aa9-4615-9a5e-4e906ffacaab · outbound

This paper cites MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation.

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

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no resolver link, observed 2026-08-05T14:28:02.738112Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.738112Z digest=sha256:a886175f16f68399b4258ebd0bf59a7b0fa8d4792aed28bec3b5d4fc0460090a

Observation 26476ef5-3def-4c39-9060-c0481c755eea · outbound

This paper cites Trip-llm: A tri-branch patch- wise large language model framework for time-series anomaly detection.

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.904941Z digest=sha256:77475eacba25e2287c74d464480538b0e6b9e71f1709d848bc81a51b3b5ec111

Observation 92f047f4-1310-4320-b3d5-024e0c62c565 · outbound

This paper cites Han Zhao, Yuxiang Wang, Juanyong Duan, Chen-Kuo Huang, Dongjie Cao, Yanjie Wang, and Leman Akoglu.

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

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verified fuzzy
raw_fallback, observed 2026-08-05T14:28:04.823734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:02.997053Z digest=sha256:6b25661371151aba41bda08643f94231e92df6ca6c0f54d018d594bf36464de8

Observation 9cc10a9c-b64b-4c97-8055-ceb281b8f803 · outbound

This paper cites Study of instabilities and outbursts in luminous blue variables AF And $\&$ R 127.

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

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metadata mismatch
local_arxiv, observed 2026-08-05T14:28:04.268531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:02.081626Z digest=sha256:71402d369031a3bcb23d780d8ccbfaeafcc6932a16e224b3880bf85c0cf29fd0

Observation f2d72e16-2796-4714-96c5-85046a50f400 · outbound

This paper cites an unresolved cited work.

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Unresolved cited work

Reference 1995

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unresolved
no resolver link, observed 2026-08-05T14:28:01.802061Z

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source=pdf_text observed=2026-08-05T14:28:01.802061Z digest=sha256:051aae96983ef187f72779f3e34ef103a96bb1ed086d8d98d322282b3db09785

Observation def5e55a-038f-4829-91b5-53d6193121d7 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

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

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no resolver link, observed 2026-08-05T14:28:02.212342Z

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source=pdf_text observed=2026-08-05T14:28:02.212342Z digest=sha256:58b1d008ff07c9bf7ade2fa00dd1552f4e55ec6e5856e362b033c6b16fc04eee

Observation e7c1e5c8-efeb-4b69-b8e5-7ba9f92caaaf · outbound

This paper cites Can multimodal llms perform time series anomaly detection? arXiv preprint arXiv:2502.17812,.

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.376359Z digest=sha256:ee134e1e58ad66bee9cb936b0457a9e5ece160eeb7f071727f3520957479bcb3

Observation 0bb18e5c-2c30-49c6-9692-5e03fd4e7d12 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

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

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source=pdf_text observed=2026-08-05T14:28:03.160877Z digest=sha256:a60fe07760e47a54e56a372c602d8fb0991de90b9a753b066842e501774a08c9

Observation a9940fff-949f-49e0-b54c-280a945fc266 · outbound

This paper cites Yuan-Cheng Yu, Chun-An Lin, Yen-Chieh Ouyang, and Wen-Chih Peng.

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

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verified exact
doi, observed 2026-08-05T14:28:03.410144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:02.821216Z digest=sha256:8be11873613a61e68f79e5e87350664505dd7fb14f25c6cd4182aa005226be99

Observation 718da173-8d94-4f58-a72c-26a46e90dbeb · outbound

This paper cites Financial Fine-tuning a Large Time Series Model.

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

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verified exact
local_arxiv, observed 2026-08-05T14:28:04.460962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:01.847248Z digest=sha256:c4797f6bba5f2314b7082391e55b271ad37429e9548f41e5b0cfc5253f3c86c7

Observation 6f4d4f04-82ff-4b5d-9b99-2188c1b1052b · outbound

This paper cites Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting.

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

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verified exact
local_arxiv, observed 2026-08-05T14:28:04.644809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:28:01.737705Z digest=sha256:8800a0f454d34b837669268ac4c3556b32136f86f5a44246903436f1a7a67325

Observation 850f5e68-a4b0-42d7-ba0e-f8e3dd2b085b · outbound

This paper cites Chronos: Learning the Language of Time Series.

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Chronos: Learning the Language of Time Series

Reference 2025

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:01.616856Z digest=sha256:924124585897b77727218c642755bec45cf54dfd886f634e29a335c10c5ab741

Pith citing papers

No inbound Pith citation observations are available.