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Paper Citation Record · LEDGER

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction

As of 7 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2608.03416.

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

pith.paper-citation-record.v1
2608.03416 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:29:20.104378Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f9def38-d2fa-4591-8535-01a0a8065131 · outbound

This paper cites 2026 , eprint =.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction 2026 , eprint =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:29:20.771482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T19:29:19.762242Z digest=sha256:4d9a68ee8b3415db370291cc427817a08fcd7e5b78670d11d1391866cc414793

Observation daac2b88-e969-4903-87fe-fdbf8ace0512 · outbound

This paper cites FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T19:29:20.237203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T19:29:19.824024Z digest=sha256:3b71c714b509bbb47ce678fa1975a3d691bc8eb78875ffdf58ae7873e8222a96

Observation 9cd3fa12-cbb6-4a0a-b9f3-ac0870136258 · outbound

This paper cites 2026 , eprint =.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction 2026 , eprint =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:29:20.593216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T19:29:19.891178Z digest=sha256:df6292a8587f86cd43b3675dbc161f73aa5acb690dd68d0e688474e21b3ac5b4

Observation c985fbbf-4f7d-4992-bcbf-4b1105316ee6 · outbound

This paper cites Monthly Weather Review , volume =.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction Monthly Weather Review , volume =

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T19:29:19.976480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:29:19.976480Z digest=sha256:8c4a04e7231be0a5b4ada9262fbb409dfa11cd8a502f63a1fcb45f5da98368fb

Observation 55a7af0b-d53d-4c89-afaf-b50c9bd8adae · outbound

This paper cites Journal of the American Statistical Association , volume =.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction Journal of the American Statistical Association , volume =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T19:29:20.009898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:29:20.009898Z digest=sha256:7bd25ddf8796a8b25288ad662209e26d2a60bb01c4940e2ff32322606fb6b700

Observation 8edbe7be-d1b8-4b09-9c4c-8c916b985eba · outbound

This paper cites Current Directions in Psychological Science , volume =.

AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction Current Directions in Psychological Science , volume =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:29:20.415805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T19:29:20.104378Z digest=sha256:49f6f24c3962952ac55339e2f9adfaa80d181bdd7046d40e7f3009b6e4dceec3

Pith citing papers

No inbound Pith citation observations are available.