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Paper Citation Record · LEDGER

Diversifying AI: Towards Creative Chess with AlphaZero

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.09175.

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

pith.paper-citation-record.v1
2308.09175 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:55:55.753454Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:41:25.372914Z

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 5308098a-2462-4836-bef2-d77a11f9311c · inbound

Solving Zero-Sum Convex Markov Games cites this paper.

Solving Zero-Sum Convex Markov Games Diversifying AI: Towards Creative Chess with AlphaZero

Reference 131

Resolution
unresolved
no resolver link, observed 2026-08-06T23:55:55.753454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:55:55.753454Z digest=sha256:539fa29eb0c16ae6765626775a074ef0979a6549f74276df2d421de9a22fd01d

Observation c79daecb-c563-4a67-b965-4f7e470b53a2 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Diversifying AI: Towards Creative Chess with AlphaZero

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-06T16:34:25.282653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:34:25.282653Z digest=sha256:986aa18499ab3dedd83cb005750c168e107cf5856832a59f1cf5e5158a2aa8d8

Observation 30ee58bb-9b9c-4ffd-bf48-db915a358b5e · inbound

Limitations on Accurate, Trusted, Human-level Reasoning cites this paper.

Limitations on Accurate, Trusted, Human-level Reasoning Diversifying AI: Towards Creative Chess with AlphaZero

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:41:25.376215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T13:40:56.462752Z digest=sha256:677a61c72f9db9e53082a7021c4702b89a0bcbec55be2902edfa43f33b3babbc