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Paper Citation Record · LEDGER

Google Research Football: A Novel Reinforcement Learning Environment

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1907.11180.

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

pith.paper-citation-record.v1
1907.11180 v2

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 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:44.120179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 16709973-0c26-4dc5-80e1-a0517f3bb0ad · inbound

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning cites this paper.

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning Google Research Football: A Novel Reinforcement Learning Environment

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T14:54:44.120179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:44.120179Z digest=sha256:1e0ea2f08ccc9f654416b241fade70a85ad4abbd105fadc189c8f5f739d3d620

Observation b75ac3af-1ee3-4534-81ee-4d446cd705b9 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Google Research Football: A Novel Reinforcement Learning Environment

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:31.703843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:b1e16b4b3721672e58164fd93b0a4dd09324ffd38e88059dfdec78ccdf7b4b29

Observation 8da27f74-f160-4d12-94a3-330a79736819 · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning Google Research Football: A Novel Reinforcement Learning Environment

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:54.651467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:09:54.651467Z digest=sha256:5e3960f6e56a0df243133f73c47479829fda61f8fcadcc6de8d36571536aad6c

Observation 3b080f5d-8d26-4a8f-90f4-182296bdef43 · inbound

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning Google Research Football: A Novel Reinforcement Learning Environment

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:17:59.062726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:17:59.062726Z digest=sha256:4232ac4d1a5a951214a6ad38cdef5e99d2c5d88785135941ba4f1e4b7d6c2862

Observation 66a9df55-cf37-4c79-8144-279ed5d0f7e2 · inbound

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning cites this paper.

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning Google Research Football: A Novel Reinforcement Learning Environment

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T11:14:59.405063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:14:59.405063Z digest=sha256:11523ed20f3211ba90a5cbc553b9b4765cb1a02a747ec906d47c6bcfbc3b1c25

Observation 556983ae-7bac-41cd-91de-1c9a81391a03 · inbound

What Type of Inference is Active Inference? cites this paper.

What Type of Inference is Active Inference? Google Research Football: A Novel Reinforcement Learning Environment

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:51:44.465641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T06:45:53.233544Z digest=sha256:3936aaf8468c5ada195f0ebd6cc14f76f01320373c08c0058c416233c6bda761

Observation ce6b4655-28ba-438d-a5f0-47ceda6ec380 · inbound

Expected Free Energy-based Planning as Variational Inference cites this paper.

Expected Free Energy-based Planning as Variational Inference Google Research Football: A Novel Reinforcement Learning Environment

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-06-27T13:40:56.808827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T13:39:28.078342Z digest=sha256:b0a87938f6b7976f84db4558307696b604d43e5354adcb0601ce38ba14a39ac9