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Paper Citation Record · LEDGER

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.23689.

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

pith.paper-citation-record.v1
2506.23689 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:38:34.522255Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e0cc721-fbdb-4c4d-ad52-8a75bc505dcc · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:33.336866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:33.336866Z digest=sha256:4f696cfbc32bfce858d36176694568f99b209e6410536279c826604e0de88c13

Observation ee37b09a-b327-4317-a8a4-3b79bc349777 · outbound

This paper cites Pokemon red via reinforcement learning, 2025.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Pokemon red via reinforcement learning, 2025

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:33.392116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:33.392116Z digest=sha256:ffc18f0a9b9250423190bf44a30d1a335aab38ce88cd366108f52b811896302f

Observation 45eeba43-a118-420f-82ad-2c781baa61bb · outbound

This paper cites Conditional imitation learning for multi-agent games.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Conditional imitation learning for multi-agent games

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:36.162430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:33.506541Z digest=sha256:ac37865a4c938c16fe57eefe17b584e2c163fa1463161c0457e9e32579e097fe

Observation 6385d45b-2df0-41ec-bc2c-c93d19e68f7a · outbound

This paper cites Gemini plays pokemon.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Gemini plays pokemon

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:35.914224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:33.679546Z digest=sha256:2957518e4b84d93724877ef1d2aa43d4f97359be9d3de289b3373216ffbe107d

Observation 00560540-1939-4d6e-b3b0-89250df890d8 · outbound

This paper cites Claudeplayspokemon.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Claudeplayspokemon

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:35.591706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:33.809534Z digest=sha256:b256943ca712a6410b4d13aaf3d7080fa43bda4e244bc0e57885672bf515965f

Observation c4645195-eb3d-444f-a847-957f36773f19 · outbound

This paper cites Beating the world record in pok ´emon emerald.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Beating the world record in pok ´emon emerald

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:35.366730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:33.878142Z digest=sha256:cc773d8def8d815f063349d60160a0b17ed964c3142fcc7a8dab314881ffaaa7

Observation f7d2c74e-f761-4bf9-9722-1a918b086bc4 · outbound

This paper cites Function calling in large language models: Industrial practices, challenges, and future directions.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Function calling in large language models: Industrial practices, challenges, and future directions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:35.143790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:33.991997Z digest=sha256:98dff353c43a89d632c4f8c647ffed6004b86e03c51f83964f271da672cd830f

Observation 6decb636-bc14-4940-9998-6dffaeb7b807 · outbound

This paper cites Altissimo’s pok ´emon site.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Altissimo’s pok ´emon site

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:35.032299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:34.049572Z digest=sha256:de9df22db42a76d7b68728b8dd499fcb69a54b52493379eb566b07c0697a4c5b

Observation 81f6ad78-e609-4dea-8794-1dc4d6815103 · outbound

This paper cites The Art of War .(The Oldest Military Treatise In The World).

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red The Art of War .(The Oldest Military Treatise In The World)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:34.886089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:34.103425Z digest=sha256:f515337ce123df7e376d1f874b19dde74fc21f95e2468c0def4cc8204b16a109

Observation d10528a9-8fe9-401b-a3eb-4cad6fec5fe2 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:34.144921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:34.144921Z digest=sha256:7048e5a6359b12e48d5a9d3c8670e919a24c7584eab30224dad088795a086f39

Observation 9f1e66d0-a6d2-4115-9592-d905f0794812 · outbound

This paper cites Personality traits in large language models.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Personality traits in large language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:38:34.705733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:38:34.233234Z digest=sha256:7f5ced20b5483ae5d7f3ac0c98d5e0675b462dd97821eb359f111263ca352748

Observation e6916c6f-d079-4574-9de0-b8f30964dc76 · outbound

This paper cites BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:34.321949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:34.321949Z digest=sha256:a1465af20f35135df56742e0498b8832202c4fb915281d7d6503dd6603e7a256

Observation acc53457-34d4-4fc9-9532-8d09499daebb · outbound

This paper cites KCIF: Knowledge-Conditioned Instruction Following.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red KCIF: Knowledge-Conditioned Instruction Following

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:34.396500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:34.396500Z digest=sha256:c8e2323e2cbf81386465ddf02808e1038c8e17f561f86aacbd2d8c6a094858b1

Observation 32349493-6c7f-410f-8f7b-f374e23d18bf · outbound

This paper cites Frontier Models are Capable of In-context Scheming.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Frontier Models are Capable of In-context Scheming

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:34.459278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:34.459278Z digest=sha256:3534e9e07936c3caa200a0cf1703d4cf7863913b7dd09a0fb06dc4de442eaba2

Observation 13e97e78-86fe-4bb9-894a-b54e4e01a3c9 · outbound

This paper cites Memgpt: Towards llms as operating systems.

Pok\'eAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red Memgpt: Towards llms as operating systems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:34.522255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:34.522255Z digest=sha256:4be1754ec95c6412ef8e0cdd39c984376d194561b39b81f6addb9b4e0ada395f

Pith citing papers

No inbound Pith citation observations are available.