Paper Citation Record · LEDGER

Measuring General Intelligence with Generated Games

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.07215.

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

pith.paper-citation-record.v1
2505.07215 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:27.682101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.651515Z

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 b380370e-9acc-4f3e-a302-b99f85dadf03 · inbound

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation cites this paper.

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation Measuring General Intelligence with Generated Games

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:27.682101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebacd626-1aae-45ad-a2f4-29465a40b284 · inbound

Assessing Adaptive World Models in Machines with Novel Games cites this paper.

Assessing Adaptive World Models in Machines with Novel Games Measuring General Intelligence with Generated Games

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:19.917526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae068f2-831c-4d1c-82fb-0e578cd9484d · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Measuring General Intelligence with Generated Games

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:25:55.254384Z

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.

Observation 00cc2af3-2f7d-4d80-b951-208dc667a35b · inbound

Scalable Environments Drive Generalizable Agents cites this paper.

Scalable Environments Drive Generalizable Agents Measuring General Intelligence with Generated Games

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:23:12.204325Z

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.

Observation 40d95776-71ee-4c53-9e12-e1115671faa6 · inbound

GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models cites this paper.

GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models Measuring General Intelligence with Generated Games

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.673786Z

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.

Observation 0b83c40d-3bbc-4f5b-ade5-7efab9cdaee3 · inbound

Distilling Game Code World Model Generation into Lightweight Large Language Models cites this paper.

Distilling Game Code World Model Generation into Lightweight Large Language Models Measuring General Intelligence with Generated Games

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.687987Z

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.

Observation 544c19b7-a014-44f3-b289-06bd07b418d8 · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games Measuring General Intelligence with Generated Games

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.653000Z

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.

Observation e4b33542-ef48-4d14-9e5a-ef52e875905c · inbound

Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning cites this paper.

Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning Measuring General Intelligence with Generated Games

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:58:16.945355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.