Pith. sign in

Paper Citation Record · LEDGER

Prompt Engineering Large Language Models' Forecasting Capabilities

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:42:38.157753Z digest=sha256:49d79d5eb33d3bb7b7a0debb41dc8f1a718a5f7904d71972efd263e3e79cdd49

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:42:38.268995Z digest=sha256:bb48864cc8bd897f136530d6ddb3c810289ff96b68716d45b044b42dabf19a90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:42:38.097735Z digest=sha256:15bcd84b8d00d3b025b1d32a4c517b88468e38ba97a0fc81f16482ad6b007029

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=sha256:2f9e47b2f5f4497a05c6f0744ff3e149003b3e6458a9ff98d4958108a93a978a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:14:17.395227Z digest=sha256:3597647cfc3113c2a7db015da25bd8e56fa13a54c6488e3d93808866744304ac

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=sha256:997609fd3d6786a39689d2e868a2742ee1c70f5c379923ac9171f6447ef8d98b