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Paper Citation Record · LEDGER

Retrieval-augmented Large Language Models for Financial Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.05878.

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

pith.paper-citation-record.v1
2502.05878 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:32:12.491866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.393710Z

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 7e173a8e-6bc8-4692-801e-31267d6edaa7 · inbound

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating cites this paper.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.519978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.519978Z digest=sha256:087268e3a454f1385587c38af8d36b494333d8c6b57b0f8968379ca72b67feda

Observation 7a8d3e1b-fb0d-4674-a671-5e78f1ac49ed · 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 Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:34.882772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:34.882772Z digest=sha256:3211c459996a8b020925b8c52b22efc8b43f7cbd49808438025234e6b93e04bc

Observation 30b69511-09b0-43f1-86db-c878872095c1 · inbound

Time Series Augmented Generation for Financial Applications cites this paper.

Time Series Augmented Generation for Financial Applications Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:26.207361Z

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=arxiv_source observed=2026-05-10T02:25:59.149273Z digest=sha256:a2d6ee31ffb60c1e1169857b0d92fdb87a50dc214e9c8ac638ac4b628fa46951

Observation 2182ec28-cfb6-4051-9c09-c292ba11ce6d · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 272

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:57:41.395194Z

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=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:6e83b14add2d694ac141d884d4682ab648c78bd07367d63ef535ae5a80902d3d

Observation 9f2c86d6-e9f6-4c4c-8476-92e1fc74acaa · inbound

Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media cites this paper.

Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:12.491866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:32:12.491866Z digest=sha256:1e560c155533ed8155a03bd99a38a31a28d912dc32bd962fb71e5dccfcd73cbc