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Paper Citation Record · LEDGER

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.10835.

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

pith.paper-citation-record.v1
2402.10835 v5

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:22:10.258245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:32:15.799207Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 e06463e3-bab4-48f8-8249-d506ce431b24 · inbound

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model cites this paper.

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T18:22:10.258245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:22:10.258245Z digest=sha256:67dee3999b3dc7fc887504779169280fd4c3ced20af2ee888e7bd1049b464ee1

Observation 71950aed-f645-4884-aa99-9b7fce8e86d0 · 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 Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:15.807135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:ce4f6e07cb9b8fc166e6ff24be9234e21cc235f61b2b96892ba46d8295d6fd35

Observation ea093eae-9091-47c4-bd8b-2f11fd2f1eb3 · inbound

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting cites this paper.

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:00.094406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:42:00.094406Z digest=sha256:4e56206f880b3eb25d7a8f4cf033d8a6183d704ae4444484f2e84b58e2381d4f

Observation 6d36944d-3e21-4212-b1b3-68dfbe91299b · inbound

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction cites this paper.

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:51.622201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:15:51.622201Z digest=sha256:1a0f49f0ff71049b397223ed960809842cee013c946f97aa5a87b9f489129109

Observation 10336864-b7d2-4483-82fd-507f52b29cfc · inbound

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou cites this paper.

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:39:58.478192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:39:58.478192Z digest=sha256:2277713c65e82ababec16cc2170de2ce49336cd92378fab7a7b44c91a12460fa

Observation d3a1401c-af0d-4e56-a5ff-4f6584ac5b3b · inbound

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook cites this paper.

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T19:52:36.085387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:52:36.085387Z digest=sha256:3977ce8eb9f46d4746d9cc7b80dff6a74d0e6cae6865e40179e86466bd0082d8