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Paper Citation Record · LEDGER

Prompt Engineering Large Language Models' Forecasting Capabilities

As of 21 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 2 inbound Pith citation observations for arXiv:2506.01578.

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

pith.paper-citation-record.v1
2506.01578 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:38.315838Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T19:33:20.775008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:06:01.541768Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3109c399-6552-4ef0-ae7b-39f3be222f4f · outbound

This paper cites an unresolved cited work.

Prompt Engineering Large Language Models' Forecasting Capabilities Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:42:38.701825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:42:38.157753Z digest=sha256:955b44cdce16cd2ccc78121d9a1118b7714f49ce0d6e7e4459d65cb24a99bd20

Observation 65fda37b-4c52-4b7d-b92d-3aec4a353fb2 · outbound

This paper cites an unresolved cited work.

Prompt Engineering Large Language Models' Forecasting Capabilities Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:42:38.535386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:42:38.268995Z digest=sha256:6fd6b3d52e8e89c955fee2dc4b2a05fdb2c8b3851830b831a8ab6a55d0e794fb

Observation 949f1ec9-cc90-4a64-a0bf-f7907c54f719 · outbound

This paper cites an unresolved cited work.

Prompt Engineering Large Language Models' Forecasting Capabilities Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:42:38.912080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:42:38.097735Z digest=sha256:41cfc665c882de426296c5bf8e97cbe6db9daab2481dadb9ed1931cf76225762

Observation e80675f6-8f4c-4e8a-bd3f-5b246f79b6d7 · outbound

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

Prompt Engineering Large Language Models' Forecasting Capabilities LLMs Can Teach Themselves to Better Predict the Future

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:38.315838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:38.315838Z digest=sha256:92a690dee32f34ae0a4c670a542c7c01672d120b6a8afed651e783bb8d309231

Pith citing papers

Observation 5b2e773a-73c3-445e-aa5d-3d5b1e2b2941 · inbound

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Prompt Engineering Large Language Models' Forecasting Capabilities

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:01.551000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T04:14:17.395227Z digest=sha256:d460ec2ae9d895698e9081ab943a31cd30985abd55b24a522b8edeb2d87347bd

Observation ecc1d3dc-340c-44bf-acbd-59fc88f05005 · inbound

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Prompt Engineering Large Language Models' Forecasting Capabilities

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T19:33:20.775008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T19:33:20.775008Z digest=sha256:0f18817715543ba801236eb69edf35c33f369dc12461817e2d6f27872da1b544