Paper Citation Record · LEDGER

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts

As of 10 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 3 inbound Pith citation observations for arXiv:2507.19477.

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

pith.paper-citation-record.v1
2507.19477 v1

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:22:31.557739Z

measured 102 of 102 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:49.241078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.491551Z

Reference resolution

99 of 99 outbound references displayed

verified exact7
verified fuzzy49
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd6ab861-8289-4120-b432-2b5390dbb0a5 · outbound

This paper cites Forecastqa: A question answering challenge for event forecasting with temporal text data.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Forecastqa: A question answering challenge for event forecasting with temporal text data

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a5b465-6315-4cff-b42e-64d1e1b664b3 · outbound

This paper cites Forecasting future world events with neural networks.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Forecasting future world events with neural networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.261835Z

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Observation 4ccf18ec-c3f2-42c1-b6e4-c1b47e7e2426 · outbound

This paper cites Approaching human-level forecasting with language models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Approaching human-level forecasting with language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.265158Z

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Observation f0e5d344-0d3c-4ddc-8425-d42bd5cd76a8 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 4

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Observation b3511db1-d7b4-42f1-837b-c4ac22e4e52b · outbound

This paper cites Superforecasting: The art and science of prediction.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Superforecasting: The art and science of prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.271787Z

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Observation 883c4173-9d9f-4c9c-9e30-c83868dc4cff · outbound

This paper cites Forecastbench: A dynamic benchmark of AI forecasting capabilities.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Forecastbench: A dynamic benchmark of AI forecasting capabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.275380Z

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Observation 333173b0-dc4a-42eb-a21b-958d9c8cc9d4 · outbound

This paper cites Q3 ai benchmarking: Did bots outperform human forecasters?, 2024 a.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Q3 ai benchmarking: Did bots outperform human forecasters?, 2024 a

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.279191Z

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Observation 73e1f0d9-d769-482a-be2b-c7d4c5afd425 · outbound

This paper cites Introducing chatgpt, 2022.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Introducing chatgpt, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.282393Z

Source-reported events for the cited work

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Observation 52b0923d-817e-4363-ab68-453d411bbb63 · outbound

This paper cites Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.285732Z

Source-reported events for the cited work

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Observation 635b522f-b88d-42a6-b80c-a371b52b07f6 · outbound

This paper cites Reasoning and tools for forecasting.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Reasoning and tools for forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.289163Z

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Observation d67b1d3a-9bb3-4709-85d0-2a1c8dbaf90f · outbound

This paper cites Superhuman automated forecasting, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Superhuman automated forecasting, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.292073Z

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Observation 4071765e-91f5-48ed-a370-5dfc35c3bded · outbound

This paper cites The memorization problem: Can we trust llms' economic forecasts? arXiv [q-fin.GN], 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts The memorization problem: Can we trust llms' economic forecasts? arXiv [q-fin.GN], 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.295243Z

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Observation 2598dc91-870b-42b5-9b3e-351d85e836f9 · outbound

This paper cites Contra papers claiming superhuman AI forecasting, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Contra papers claiming superhuman AI forecasting, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.298128Z

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Observation ea63d7ae-fdf2-44c3-a6f4-daf17c074fd1 · outbound

This paper cites Pitfalls in Evaluating Language Model Forecasters.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Pitfalls in Evaluating Language Model Forecasters

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.301050Z

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Observation 6e9eaa5b-03c2-4b7a-b49f-a7d49ac51393 · outbound

This paper cites Why humans are still much better than ai at forecasting the future, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Why humans are still much better than ai at forecasting the future, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.304156Z

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Observation 751caad5-9173-44a4-ad28-c2f7e58afd27 · outbound

This paper cites Introducing openai o1, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Introducing openai o1, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.307146Z

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Observation 5796d82c-09c4-4312-aae6-351e062d350d · outbound

This paper cites Introducing openai o3 and o4-mini, 2025 a.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Introducing openai o3 and o4-mini, 2025 a

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.309851Z

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Observation 76c51251-4580-46a7-a0d7-4f972dc42909 · outbound

This paper cites Q4 ai benchmarking: Bots are closing the gap, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Q4 ai benchmarking: Bots are closing the gap, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.313005Z

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Observation b890b0b9-bdee-45fe-8b8f-a21e56b3cacc · outbound

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

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts LLMs Can Teach Themselves to Better Predict the Future

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.315943Z

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Observation da8d91ef-761b-4187-ad81-e56b80ba04c6 · outbound

This paper cites Outcome-based reinforcement learning to predict the future.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Outcome-based reinforcement learning to predict the future

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.319050Z

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Observation 71ebae5d-43e0-4631-a0ca-7fb79b084ec2 · outbound

This paper cites Try deep research and our new experimental model in gemini, your ai assistant, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Try deep research and our new experimental model in gemini, your ai assistant, 2024

Reference 21

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Source-reported events for the cited work

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Observation c1a9d2e3-4edf-4015-b419-17747194a516 · outbound

This paper cites Introducing deep research, 2025 b.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Introducing deep research, 2025 b

Reference 22

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Observation 4db80c65-3b01-4c6e-a111-8fb6adbeaf54 · outbound

This paper cites Introducing claude 4, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Introducing claude 4, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.327597Z

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Observation cfe82c01-c5fb-44b5-b758-d481eda0c5f2 · outbound

This paper cites Will spacex's 3rd starship go higher than its prior launch before april?, 2023.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Will spacex's 3rd starship go higher than its prior launch before april?, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.330491Z

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Observation 6e0aa8ba-ad84-4c16-a7c3-3c2e3f3b5980 · outbound

This paper cites Can Language Models Use Forecasting Strategies?.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Can Language Models Use Forecasting Strategies?

Reference 25

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Observation c5fd6d77-d377-4482-a571-401d299d1dd1 · outbound

This paper cites https://www.metaculus.com/notebooks/34747/the-state-of-metaculus/, 2025 a.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts https://www.metaculus.com/notebooks/34747/the-state-of-metaculus/, 2025 a

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:33.012100Z

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.

Observation 5da61db0-d79f-4a16-9840-0a8c5500d947 · outbound

This paper cites What can we learn from scoring different election forecasts?, 2022.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts What can we learn from scoring different election forecasts?, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:33.002160Z

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.

Observation 274b7f27-382e-4d53-8975-aa03fefb5de3 · outbound

This paper cites Online prediction betting markets look ahead after us presidential election triumph: `we're just getting started', 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Online prediction betting markets look ahead after us presidential election triumph: `we're just getting started', 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.992877Z

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.

Observation 1ed7356a-6a97-47ff-a7f0-3625d503f529 · outbound

This paper cites Autocast++: Enhancing world event prediction with zero-shot ranking-based context retrieval.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Autocast++: Enhancing world event prediction with zero-shot ranking-based context retrieval

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.983236Z

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.

Observation f335528e-34cc-4be2-9618-15248c234e3d · outbound

This paper cites MIRAI: Evaluating LLM Agents for Event Forecasting.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 30

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Observation e5aa3ccb-9b43-4526-8497-f76c8d5bc9b2 · outbound

This paper cites Consistency checks for language model forecasters.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Consistency checks for language model forecasters

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.973602Z

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.

Observation 66e4b0fa-b47f-43ef-bd65-40dacd25bf08 · outbound

This paper cites Bench to the Future: A Pastcasting Benchmark for Forecasting Agents.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Bench to the Future: A Pastcasting Benchmark for Forecasting Agents

Reference 32

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Observation a7be4d39-beda-43fd-811e-3deddc64d4a5 · outbound

This paper cites Deep Research Bench: Evaluating AI Web Research Agents.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Deep Research Bench: Evaluating AI Web Research Agents

Reference 33

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Observation 794e8e41-7ced-4c07-8fb8-8b64d439af83 · outbound

This paper cites Openforecast: A large-scale open-ended event forecasting dataset.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Openforecast: A large-scale open-ended event forecasting dataset

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.963859Z

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.

Observation fc690611-819c-4b07-b39b-d6a067caecdf · outbound

This paper cites scope sensitive.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts scope sensitive

Reference 35

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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.

Observation 7d88b0f8-0d98-4161-80f5-6657eb6a0ac5 · outbound

This paper cites Calibrating large language models with sample consistency.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Calibrating large language models with sample consistency

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.944852Z

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.

Observation 061e5b8e-4e3b-4575-933c-90e548068af0 · outbound

This paper cites Ai forecasting bots incoming, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Ai forecasting bots incoming, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.935514Z

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.

Observation 30e7063c-c32a-44af-baf8-29cd122414c8 · outbound

This paper cites Comparing two forecasters in an ideal world, 2023 a.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Comparing two forecasters in an ideal world, 2023 a

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.914071Z

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.

Observation 5b2ad8d4-b60b-460c-92be-40cf7df44d65 · outbound

This paper cites Chatbot arena: An open platform for evaluating llms by human preference.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Chatbot arena: An open platform for evaluating llms by human preference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.893025Z

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.

Observation ee8fd224-5ca3-4331-893e-53e297fc5dcd · outbound

This paper cites Q1 ai benchmark results: Pro forecasters crush bots, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Q1 ai benchmark results: Pro forecasters crush bots, 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.867674Z

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.

Observation 08a4b393-fde9-4821-8cb2-b938c8c45a67 · outbound

This paper cites https://www.metaculus.com/notebooks/36949/ai-forecasting-benchmark-q2-tournament-starts-april-21/, 2025 b.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts https://www.metaculus.com/notebooks/36949/ai-forecasting-benchmark-q2-tournament-starts-april-21/, 2025 b

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.851429Z

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.

Observation 725b42f4-bbe4-4be7-ac9e-ac55351838bc · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 42

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Source-reported events for the cited work

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Observation adf4edb5-5832-44b4-95c2-eb9ee1303529 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.389550Z

Source-reported events for the cited work

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Observation c19e750d-a729-434d-ae81-e436a2a69ea6 · outbound

This paper cites Futuresearch github, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Futuresearch github, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.833423Z

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.

Observation e68d87c4-4e24-43ab-afc8-477b47b39e83 · outbound

This paper cites Evaluating LLM-Based Regression Test Generation.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Evaluating LLM-Based Regression Test Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.395462Z

Source-reported events for the cited work

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Observation c69286e3-0199-4275-aa74-9bc2405ace54 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? NIPS, 2017.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts What uncertainties do we need in bayesian deep learning for computer vision? NIPS, 2017

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.809579Z

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.

Observation cd97f78e-8254-466c-bff3-ca8455297bf9 · outbound

This paper cites More is probably more — forecasting accuracy and number of forecasters on metaculus, 2023 b.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts More is probably more — forecasting accuracy and number of forecasters on metaculus, 2023 b

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.789224Z

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.

Observation ad6885f1-249d-4223-b8d8-ee4b259d3fc8 · outbound

This paper cites Predicting Empirical AI Research Outcomes with Language Models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Predicting Empirical AI Research Outcomes with Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.403988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48bbad2-bacf-4600-b414-a8fdddf48cf7 · outbound

This paper cites Retrieval-guided counterfactual generation for QA.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Retrieval-guided counterfactual generation for QA

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.746632Z

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.

Observation 7abae2df-1602-4357-9f1d-2533298d7b1d · outbound

This paper cites Disentqa: Disentangling parametric and contextual knowledge with counterfactual question answering.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Disentqa: Disentangling parametric and contextual knowledge with counterfactual question answering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.724452Z

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.

Observation 6a2e9333-fda5-4900-b2bb-17e5d8ced852 · outbound

This paper cites Reinforcement learning with unsupervised auxiliary tasks.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Reinforcement learning with unsupervised auxiliary tasks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.714762Z

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.

Observation 0321577d-34d7-44f6-9663-96579fe30bc0 · outbound

This paper cites The biggen bench: A principled benchmark for fine-grained evaluation of language models with language models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts The biggen bench: A principled benchmark for fine-grained evaluation of language models with language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.705007Z

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.

Observation 0d60f226-bfef-4990-a587-90e27ccb24e8 · outbound

This paper cites Training language models to follow instructions with human feedback.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Training language models to follow instructions with human feedback

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.694978Z

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.

Observation e5a2b26e-c6c3-45c3-9668-d643a6787e6c · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Least-to-most prompting enables complex reasoning in large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.684911Z

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.

Observation 0f6f8c28-1ede-48b5-b228-846f2acf52f3 · outbound

This paper cites Scaling Laws for Neural Language Models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Scaling Laws for Neural Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.424522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2792696f-4c44-4219-92ad-97ce67eff388 · outbound

This paper cites Scaling-laws for large time-series models.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Scaling-laws for large time-series models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.674181Z

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.

Observation 2d97bc87-0bb9-4a59-8dba-42c4713a9f58 · outbound

This paper cites Reinforcement Pre-Training.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Reinforcement Pre-Training

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.430188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60690f69-b2ab-4311-ac39-22b1a2001c2f · outbound

This paper cites Acled data portal, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Acled data portal, 2025

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.663328Z

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.

Observation 10a477e5-9c72-4bde-b7d3-eb65ad9a03b2 · outbound

This paper cites Dbnomics – the world's economic database, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Dbnomics – the world's economic database, 2025

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.653498Z

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.

Observation 1db370bd-f80a-4846-986a-65e02532a2af · outbound

This paper cites Fred (federal reserve economic data), 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Fred (federal reserve economic data), 2025

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.642787Z

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.

Observation c52cb964-fee0-4e14-9439-22f1436bd577 · outbound

This paper cites Global health observatory (gho) data repository, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Global health observatory (gho) data repository, 2025

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.632648Z

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.

Observation 827dd5f1-46d3-4e57-876a-b95ed12dfb7b · outbound

This paper cites Cdc public health data portal, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Cdc public health data portal, 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.622470Z

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.

Observation 829dc3c6-a0d6-451e-848c-fb5669d18d59 · outbound

This paper cites Nasa earthdata – earth science data systems, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Nasa earthdata – earth science data systems, 2025

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.613014Z

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.

Observation 2e0778b4-872a-44a2-84db-89a8c7f649a6 · outbound

This paper cites Noaa ncei climate data online, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Noaa ncei climate data online, 2025

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.603227Z

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.

Observation 3f147e9c-bb01-481c-b145-e15056163970 · outbound

This paper cites OpenEP: Open-Ended Future Event Prediction.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts OpenEP: Open-Ended Future Event Prediction

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.453162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c18b7d2-3575-4d89-b3ba-425050a419d7 · outbound

This paper cites Paq: 65 million probably-asked questions and what you can do with them.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Paq: 65 million probably-asked questions and what you can do with them

Reference 66

Resolution: verified exact; doi, observed 2026-08-06T14:22:31.634740Z

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.

Observation c9e6984d-f61d-42da-8ac8-96982c455c7f · outbound

This paper cites Principles of forecasting: a handbook for researchers and practitioners.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Principles of forecasting: a handbook for researchers and practitioners

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.592490Z

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.

Observation bef51a45-ec29-4249-a34b-5bf32efd9ef9 · outbound

This paper cites Special report: The simulations driving the world's response to covid-19.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Special report: The simulations driving the world's response to covid-19

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.582692Z

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.

Observation 2fe46854-75af-404c-a70d-46b437d55621 · outbound

This paper cites Shall we vote on values, but bet on beliefs? Journal of Political Philosophy, 21 0 (2), 2013.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Shall we vote on values, but bet on beliefs? Journal of Political Philosophy, 21 0 (2), 2013

Reference 69

Resolution: verified exact; doi, observed 2026-08-06T14:22:31.625180Z

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.

Observation 624901d6-2a1a-4ab6-b889-74091508cba1 · outbound

This paper cites Event-level prediction of urban crime reveals a signature of enforcement bias in us cities.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Event-level prediction of urban crime reveals a signature of enforcement bias in us cities

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.572593Z

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.

Observation 8ce64523-244e-4ac1-b56c-87aab8769bf2 · outbound

This paper cites Another record low biden approval rating in june?, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Another record low biden approval rating in june?, 2024

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.563467Z

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.

Observation a4700762-dd91-4da1-b006-046fe7909bd2 · outbound

This paper cites Exploring Large Language Models for Climate Forecasting.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Exploring Large Language Models for Climate Forecasting

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.474994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30faa68b-5ecb-46d8-b7c8-09e1690f15d1 · outbound

This paper cites Ai 2027, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Ai 2027, 2025

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.553806Z

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.

Observation 8c668925-5367-43cc-8f7e-c6d4958624d4 · outbound

This paper cites How accurate are the superforecasters?, 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts How accurate are the superforecasters?, 2025

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.543976Z

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.

Observation 8d1746e8-8b7e-4108-9cfc-3e387cd2ffa1 · outbound

This paper cites Predictive performance on metaculus vs.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Predictive performance on metaculus vs

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.534427Z

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.

Observation 4584680f-1f2d-4355-b394-ed365f42d80e · outbound

This paper cites Very interesting failed attempt at manipulation on polymarket today, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Very interesting failed attempt at manipulation on polymarket today, 2024

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.524695Z

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.

Observation 4768c776-af4c-44f1-872b-8033f61f9671 · outbound

This paper cites 2024 electoral consequences, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts 2024 electoral consequences, 2024

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.515136Z

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.

Observation 92a92351-94ad-4b6d-a604-79af61e4997f · outbound

This paper cites Fostering effective hybrid human-llm reasoning and decision making.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Fostering effective hybrid human-llm reasoning and decision making

Reference 78

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:22:32.081845Z

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.

Observation 9d442661-c673-4b20-938b-dc68baa0e7e6 · outbound

This paper cites Ai-augmented predictions: Llm assistants improve human forecasting accuracy.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Ai-augmented predictions: Llm assistants improve human forecasting accuracy

Reference 79

Resolution: verified exact; doi, observed 2026-08-06T14:22:31.614801Z

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.

Observation db960926-6f03-4333-b1f3-d1a30ca3e556 · outbound

This paper cites Time travel is cheating: Going live with deepfund for real-time fund investment benchmarking.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Time travel is cheating: Going live with deepfund for real-time fund investment benchmarking

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.499484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67a4d57-ae0c-4b8a-a1b0-3b0d80f35798 · outbound

This paper cites Bayesian causal discovery for policy decision making.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Bayesian causal discovery for policy decision making

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.505457Z

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.

Observation e820a459-70e4-408b-b55d-09167e82a560 · outbound

This paper cites From prediction to foresight: The role of ai in designing responsible futures.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts From prediction to foresight: The role of ai in designing responsible futures

Reference 82

Resolution: verified exact; doi, observed 2026-08-06T14:22:31.603907Z

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.

Observation c3204b67-067e-48ca-9e72-af99213ca4a9 · outbound

This paper cites Is it possible to predict the future? - the medical futurist, 2024.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Is it possible to predict the future? - the medical futurist, 2024

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.494834Z

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.

Observation 05eb4c2b-bfc9-4496-9f27-0f7dee178236 · outbound

This paper cites Large language models surpass human experts in predicting neuroscience results.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Large language models surpass human experts in predicting neuroscience results

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.484114Z

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.

Observation bfe85c47-e4bb-45cc-9a02-a2497a6c1a52 · outbound

This paper cites Towards an AI co-scientist.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Towards an AI co-scientist

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.515069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da8abb3-3263-4f20-995a-266e4a33f679 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.518151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d2a624-c4fe-4a6f-9b92-e73c5df55f1a · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.521193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ed0595-6e73-44b6-9b74-bf3ccd50b1db · outbound

This paper cites Announcing the agent2agent protocol (a2a), 2025.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Announcing the agent2agent protocol (a2a), 2025

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.473046Z

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.

Observation fc0791f7-6ea3-4a4d-b0f7-0fc25bf3fbd9 · outbound

This paper cites Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.527546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f47523-7f0c-4911-9947-ccf21d75f645 · outbound

This paper cites Calibrating large language models using their generations only.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Calibrating large language models using their generations only

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.462163Z

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.

Observation dc533c0c-3663-4378-8e80-8849cb764c64 · outbound

This paper cites A normative model for bayesian combination of subjective probability estimates.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts A normative model for bayesian combination of subjective probability estimates

Reference 91

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:22:31.875858Z

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.

Observation 8342aba4-a5eb-4f3f-a0f1-a70ff7af17ba · outbound

This paper cites Trust calibration for joint human/ai decision-making in dynamic and uncertain contexts.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Trust calibration for joint human/ai decision-making in dynamic and uncertain contexts

Reference 92

Resolution: verified exact; doi, observed 2026-08-06T14:22:31.593011Z

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.

Observation 80c6faff-6238-4223-b803-e66b84bbb31f · outbound

This paper cites When accurate prediction models yield harmful self-fulfilling prophecies.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts When accurate prediction models yield harmful self-fulfilling prophecies

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.450840Z

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.

Observation c61eef86-4a5f-443b-9051-2d334b13fca4 · outbound

This paper cites Mirror, mirror on the wall: Algorithmic assessments, transparency, and self-fulfilling prophecies.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Mirror, mirror on the wall: Algorithmic assessments, transparency, and self-fulfilling prophecies

Reference 94

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:22:31.801526Z

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.

Observation 5c95435c-3104-4734-b917-fa8f0dae52ea · outbound

This paper cites Poisonbench: Assessing large language model vulnerability to data poisoning.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Poisonbench: Assessing large language model vulnerability to data poisoning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.439890Z

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.

Observation cbbfbc1d-15b5-44f7-baab-c9fa57c62d61 · outbound

This paper cites Trust and reliance on ai—an experimental study on the extent and costs of overreliance on ai.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Trust and reliance on ai—an experimental study on the extent and costs of overreliance on ai

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.427772Z

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.

Observation bf4f4502-7e16-4097-8afe-de0a8d41824f · outbound

This paper cites Bias and fairness in large language models: A survey.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Bias and fairness in large language models: A survey

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.417046Z

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.

Observation 381c4a66-9f39-4d07-afb6-cdaba520dc1d · outbound

This paper cites Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:22:32.405954Z

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.

Observation 6fa794cc-e69f-4dc2-af50-cc4db79e3e22 · outbound

This paper cites write newline.

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts write newline

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:31.557739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6399cd49-f88a-438c-a443-87bcb414c821 · inbound

Scattered Hypothesis Generation for Open-Ended Event Forecasting cites this paper.

Scattered Hypothesis Generation for Open-Ended Event Forecasting Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:31.664461Z

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.

Observation 1090a807-0430-4752-a534-1bb2ef951b05 · inbound

Building Social World Models with Large Language Models cites this paper.

Building Social World Models with Large Language Models Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:47.492879Z

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Observation 732b0bbb-361a-44a7-aadd-6515e52376e9 · inbound

Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems cites this paper.

Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:35:49.241078Z

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