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Paper Citation Record · LEDGER

Measuring General Intelligence with Generated Games

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:19.917526Z

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 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.

source=arxiv_source observed=2026-08-06T16:41:19.917526Z digest=sha256:ec316a5f782151dbc7a493a9714cd566742877433242b53863b425763d1411e2

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T05:23:08.478393Z digest=sha256:e9562efafd84cffe679444cfbee6f50dc9c232102d97310ac7b9b084486e2086

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T10:19:14.829125Z digest=sha256:7004a22ffc283d1a64cd4528383fab70f7f55520f4b4aa97ef21bbc5772d907f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:41:35.532363Z digest=sha256:508ffc450959651ae9726a51e0f0cb430fda60f3a10f99b38d2d819e178663f5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T13:58:37.956333Z digest=sha256:3e968d1594b3cc919a9afca1e15ff77a42b915454b8f00e9d26a8524c9caad4f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T01:03:49.101568Z digest=sha256:f45d7b24c10f3a49e8808bec98307366668a6734e3b1a744dd46e48842fb0fb3

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.

source=pdf_text observed=2026-08-01T10:58:16.945355Z digest=sha256:ffd6fdd567b23c0547ba1038d66f3ac4275f94bc42dfb6f0ce0555623f7820a7