Paper Citation Record · LEDGER

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.23154.

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

pith.paper-citation-record.v1
2506.23154 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:49.906266Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 921a0b20-0e0b-4eea-8b5b-6c2997389e0f · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.287683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d0fe8a7-0b93-4743-a45e-a17e4f1714a0 · outbound

This paper cites Journal of Macroeconomics 67, 103266.URL: https://www.sciencedirect.com/science/article/pii/S0164070420301907,doi: https://doi.org/10.1016/j.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Journal of Macroeconomics 67, 103266.URL: https://www.sciencedirect.com/science/article/pii/S0164070420301907,doi: https://doi.org/10.1016/j

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:52:49.338916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b4263c-c711-4252-a442-a0ede64fb296 · outbound

This paper cites TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.384698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e09c67-67cb-4726-9a63-d2b8fc67e563 · outbound

This paper cites On the Risk of Misinformation Pollution with Large Language Models.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey On the Risk of Misinformation Pollution with Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.456154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de56e2c9-abc3-436a-b6c5-8273758f3c6e · outbound

This paper cites The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:52:50.476976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6dfc558-12c4-4eb7-b41b-f1b1a0b4312d · outbound

This paper cites JMIRMedInform12,e55318.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey JMIRMedInform12,e55318

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:52:49.659692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601037e6-7528-4aa7-a902-9d368e46e5c5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.760925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff16ec32-3610-4833-9fa2-9991bb9157d1 · outbound

This paper cites A Continued Pretrained LLM Approach for Automatic Medical Note Generation.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.906266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5da6faf-eec9-43d9-9be7-9a60ef4ca014 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 1969

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.068896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4412dec-f7b1-4e54-978e-1152ff3f3477 · outbound

This paper cites Qwen2.5 Technical Report.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Qwen2.5 Technical Report

Reference 1971

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.842903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e03f36-b50a-4646-9c11-edfb085ccd1b · outbound

This paper cites Journal of Forecasting 23, 405–430.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Journal of Forecasting 23, 405–430

Reference 2004

Resolution: verified exact; doi, observed 2026-08-06T21:52:50.075213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8faf883c-0f6a-4a14-9e41-a50a104682a4 · outbound

This paper cites Journal of Monetary Economics 60, 967–982.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Journal of Monetary Economics 60, 967–982

Reference 2013

Resolution: verified exact; doi, observed 2026-08-06T21:52:50.296298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 68ab8b17-1355-46a4-9b15-41c39b2c5226 · outbound

This paper cites nature 529, 484–489.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey nature 529, 484–489

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:50.886252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

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

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.

Observation e9110dea-3c7e-46e9-86eb-90068127c2b6 · outbound

This paper cites Qwen Technical Report.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Qwen Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.002761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a978c508-02a9-481e-9925-982135741f77 · outbound

This paper cites Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.221869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.