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Paper Citation Record · LEDGER

MIRAI: Evaluating LLM Agents for Event Forecasting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2407.01231.

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

pith.paper-citation-record.v1
2407.01231 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:34.100761Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:07:42.400412Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 bc1c282c-0441-4a2c-9f11-5271cd59af5b · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.388594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:31acd81719837c6e0e660ab1878eafba94f08fa0bfebc638efe3f524d6be0e10

Observation 0569030f-4731-414e-9a5f-07aa8b8bc04d · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:34.100761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:34.100761Z digest=sha256:8d46878a50f42380e9628819253b04f822f8ee02e5bc80d98db8698ceae6075d

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

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

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

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:22:31.347548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:22:31.347548Z digest=sha256:4d128fd41f70a90819f3e3bb4c3f5466a8fa32980aab2a3afaeff34327728a3f

Observation f751875c-2764-451f-8691-af037b973ef2 · inbound

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs cites this paper.

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T09:30:02.869167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:30:02.869167Z digest=sha256:869545d26eb81952e2dd3ab91fbe9fec8616c2e96fe9dfa069149a9e76aaf2c3

Observation 171247d7-7dfe-45e6-a543-31b7cc3b21c6 · inbound

LATTICE: Evaluating Decision Support Utility of Crypto Agents cites this paper.

LATTICE: Evaluating Decision Support Utility of Crypto Agents MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:56:25.101008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T13:30:46.523784Z digest=sha256:b1aa4046eb64a2f973ed816a3af83d5c810f866c5e909f9bb476c52261f453e7

Observation a6f5e92e-7ac9-4017-98b8-960f87a360fc · inbound

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking cites this paper.

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:41:16.871498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:29:51.187292Z digest=sha256:55bf7e4ce142351fa1298dac4bb9c5d3de3a8a658b710c242bd8690c1e963fca

Observation 7cca45d0-c4ad-407f-bb80-bdc456070376 · inbound

GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization cites this paper.

GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:46.931104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T23:09:57.297404Z digest=sha256:c79c5dc7c9c0dcef281f4a8e8a173ca2d671b8bcd7c3062e5b994ef1384bc8e9

Observation 49675f61-c878-4ba2-9b88-6b315fdf42a6 · inbound

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

Building Social World Models with Large Language Models MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:47.523932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T10:34:22.071622Z digest=sha256:0788e2b6d3252192eedf451626b4453ef1477c5c34db00fda6dff0f524948dd2

Observation 56df8d54-f063-4907-b5ff-78a3e3137172 · inbound

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning cites this paper.

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.665614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T09:47:04.122464Z digest=sha256:4b9e1c5e518ec64973ae2698773d401017507810ff1c9b0cc58e3059785553ef

Observation 666e2d6d-f712-4046-8576-901b80237885 · inbound

Agentic Time Machine as an Infrastructure for Future-Event Forecasting cites this paper.

Agentic Time Machine as an Infrastructure for Future-Event Forecasting MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:09:38.131014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:42:29.128094Z digest=sha256:11ffab0910719963c0fcb072314a90076e57ca3b3d87e3bace886b2f72ba84a6

Observation 03674168-b75e-4c82-ab41-8b79cefa3a6d · inbound

ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting cites this paper.

ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:05:43.267377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T02:50:35.164174Z digest=sha256:0cd88b1ec57277fbad8f7df272b7b93c4ac017b9391a65a01241e0f6de453ad0

Observation e137fc9f-7b09-46af-975f-107d4553d660 · inbound

Robust Human-AI Complementarity under Uncertainty cites this paper.

Robust Human-AI Complementarity under Uncertainty MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:07:42.415476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-11T00:00:06.039128Z digest=sha256:b6a974b864421343b0529657c9138d210d0cb397517b7e9968d33460fcfb96ee

Observation 7448988e-f880-46cb-b962-95d221232905 · inbound

Hindcast: Replaying Prediction Markets to Evaluate LLM Forecasters cites this paper.

Hindcast: Replaying Prediction Markets to Evaluate LLM Forecasters MIRAI: Evaluating LLM Agents for Event Forecasting

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T03:01:21.295439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:01:21.295439Z digest=sha256:03b1881f8d2a5790897b52df8f1e2e3387bd577565756a84185fda0713ed7869