Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:38:17.474509Z
Paper Citation Record · LEDGER
PokeRL: Reinforcement Learning for Pokemon Red
As of 9 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2604.10812.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
10 of 10 outbound references displayed
- verified exact2
- verified fuzzy6
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5e2c575b-d240-480e-a165-a199e3f45106 · outbound
This paper cites Reinforcement learning 101: Ai plays pok ´emon! https: //medium.com/ordina-data/reinforcement-learning-101-ai-plays-pok% C3%A9mon-e0626bd6beae.
PokeRL: Reinforcement Learning for Pokemon Red Reinforcement learning 101: Ai plays pok ´emon! https: //medium.com/ordina-data/reinforcement-learning-101-ai-plays-pok% C3%A9mon-e0626bd6beae
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.126045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d617b402-533e-4565-bbe1-64537fbb271d · outbound
This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.
PokeRL: Reinforcement Learning for Pokemon Red Go-Explore: a New Approach for Hard-Exploration Problems
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:06:04.951429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 45738616-ddc0-4726-a31f-e41d1a608ac9 · outbound
This paper cites PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.
PokeRL: Reinforcement Learning for Pokemon Red PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:04.898354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7b5250ed-c586-490d-8989-5dd63a230d08 · outbound
This paper cites The pokeagent challenge: Competitive and long-context learning at scale.
PokeRL: Reinforcement Learning for Pokemon Red The pokeagent challenge: Competitive and long-context learning at scale
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.142145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8b0bcc59-9883-4e66-9a9b-2c00a5417363 · outbound
This paper cites Pokemon Red via Reinforcement Learning.
PokeRL: Reinforcement Learning for Pokemon Red Pokemon Red via Reinforcement Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:04.936693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 663c8711-29cc-4c96-b71a-9af00ba321e3 · outbound
This paper cites Pokemon rl observations: The ”visited mask”.
PokeRL: Reinforcement Learning for Pokemon Red Pokemon rl observations: The ”visited mask”
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.138076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4b0ce119-b75c-4c14-83d3-65772ebc6526 · outbound
This paper cites Poke-env: pokemon ai in python.
PokeRL: Reinforcement Learning for Pokemon Red Poke-env: pokemon ai in python
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.132156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7ce193ff-c961-4053-bd18-5b0d6b4a0d5c · outbound
This paper cites On shannon entropy and its applications.Kuwait Journal of Science, 50(3):194–199.
PokeRL: Reinforcement Learning for Pokemon Red On shannon entropy and its applications.Kuwait Journal of Science, 50(3):194–199
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.121829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0a2c530d-785b-45e4-9cfe-e4ff0c257f41 · outbound
This paper cites Proximal policy optimization algorithms.
PokeRL: Reinforcement Learning for Pokemon Red Proximal policy optimization algorithms
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:32:05.113909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5599da1d-e299-477b-a4a8-94335f409f6c · outbound
This paper cites an unresolved cited work.
PokeRL: Reinforcement Learning for Pokemon Red Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:32:05.117340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.