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Paper Citation Record · LEDGER

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.17515.

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

pith.paper-citation-record.v1
2409.17515 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:52:11.751660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:01:26.176622Z

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 61eb5879-20b4-4216-b5aa-7200fbb9314c · inbound

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events cites this paper.

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T23:52:11.751660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:52:11.751660Z digest=sha256:e388f3abecfa48a9db37a043374e7acf09726b0c118dec81303fe545bd4ad090

Observation 7d3d1685-dc45-4ada-9112-dbb1e3889689 · inbound

LLMs Can Teach Themselves to Better Predict the Future cites this paper.

LLMs Can Teach Themselves to Better Predict the Future From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T20:20:35.307549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:20:35.307549Z digest=sha256:7f809a2c0fd5c3f4dd7445875cc9dbf4885b8cbbd610028327143ddd2fefce63

Observation 97a58448-d033-4c61-b03b-43dd3c69043b · inbound

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset cites this paper.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:04:08.939673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:04:08.939673Z digest=sha256:8b85ec0825c4d60050bf58d7c0b4063cb7ee5d27d1cf2bff7925e92c5f42935b

Observation e12840d5-1811-44ff-a0d8-b0e419a62878 · inbound

Time Series Augmented Generation for Financial Applications cites this paper.

Time Series Augmented Generation for Financial Applications From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:26.180376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T02:25:59.149273Z digest=sha256:d00f9e0bdd5fec9843e25382f22598cacdf005052f7a4b0be90bd92507599aa2