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Paper Citation Record · LEDGER

Agentic Retrieval-Augmented Generation for Time Series Analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.14484.

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

pith.paper-citation-record.v1
2408.14484 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 2026-08-07T15:19:17.428332Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:03:12.623841Z

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 743f0af1-6a0e-4a7a-af9a-105ce58986ce · inbound

Retrieval Augmented Time Series Forecasting cites this paper.

Retrieval Augmented Time Series Forecasting Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:03:12.626527Z

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=2026-05-23T16:59:20.386522Z digest=sha256:b02050c6e93560a1bc77e51f1f329409e28dfabc3cc93e962810a50e41ed8f45

Observation a33c8004-94fd-435b-93d1-8f73b207f353 · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:17.428332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:17.428332Z digest=sha256:90434e180a5441880b114d5c982a402706a93a99a57a80b6d5c7f31be62c5f7c

Observation bf04fcf0-0ecc-4b74-b26c-578b2a8c4c29 · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:16.676937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:16.676937Z digest=sha256:fc14a779a71fa096ba4c9da0624bb0c9350e39d8b610842de50563d4bc20bca8

Observation 0d66e4a9-790e-4b44-b96c-19534c876fe8 · inbound

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges cites this paper.

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:07.576555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:07.576555Z digest=sha256:270cf68327ac1f4064f292794806dc1e89e21985ac209c9cbd8c4dacdf28518b

Observation 37719bc8-45a8-4849-9c2c-a6088f407a18 · inbound

Towards Temporal Knowledge Graph Alignment in the Wild cites this paper.

Towards Temporal Knowledge Graph Alignment in the Wild Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T16:09:32.522547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:09:32.522547Z digest=sha256:cc10a7f8d5842c4de2eea3f719d1487c85d03cc36d624c911b3fbdc1365273ef

Observation 149a814e-a9ba-4e7c-bfd0-bfa80e70edbd · 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 Agentic Retrieval-Augmented Generation for Time Series Analysis

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:32.817432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:32.817432Z digest=sha256:5f40e63fb36d5da6ef95a9d28f1943fd92e97f80167d73f8082c4409cb59561c