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Paper Citation Record · LEDGER

What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.11540.

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

pith.paper-citation-record.v1
2409.11540 v1

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 2026-08-07T15:10:06.308420Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:38:07.599396Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 124b9dd5-82e6-49c5-9a75-7aa6bc0fa49a · inbound

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs cites this paper.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:06.308420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:06.308420Z digest=sha256:67b2d25754b762a1ec264e69be573f5d18234c565dda3b8e6efd8e2b13e36774

Observation 167bf148-68d9-44c7-b24e-088951e6382b · inbound

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey cites this paper.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:49.174593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:49.174593Z digest=sha256:ae54ea2594794c4e378b9430c66a0c16f74a408df3bf9a40b26f9874d3a12305

Observation 7926fcc0-6f3c-4cba-9131-00be39be9c23 · inbound

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting cites this paper.

All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T22:21:34.743601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:21:34.743601Z digest=sha256:3d30d0f97046b46fe1ebcd948f7e688dcaabb54f83f0f2770bac3b85a2700a2d

Observation 549aebb1-0780-49a8-bf09-019739aef672 · inbound

Debiasing LLMs by Fine-tuning cites this paper.

Debiasing LLMs by Fine-tuning What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:38:07.601220Z

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=2026-05-13T18:35:23.318841Z digest=sha256:e17d09f7db5545d6dafc22405b4e026976593bdb88e2f2b192c6845cf11bc493

Observation a25634ca-4372-4e5f-96b6-b23cea123813 · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:59.232912Z

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=2026-05-10T17:05:40.178716Z digest=sha256:7b0ce2f063c958e96d3277fc17e84af5af1682cbed940cb9003ef7f1b927eaa1