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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:8f5b515f0c1d4137d684e7c040425904b2d95d1b73761059c91e0c627c0d8629

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:f67c76e3d4b19bba3e0c641f67444cdb4c23a986ab85f5081fa27a9af9fd0a7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:33.506541Z digest=sha256:b40d6a0b9ee54d86de1299b5939c94b42daf7d9bbe988daaf729f5dbebd8ba1a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:33.679546Z digest=sha256:6e372dab3cdc555778d42d317efb6418fc07bb99db7277bcaff028f438f32265

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:33.809534Z digest=sha256:21ab38474e0ea4454477b9154ca96102cf98d17e8da2f623379fca487c4e32d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:33.878142Z digest=sha256:d167a46173e93ce22a31e290d0a9eb4f4453eddd031a203ba9e2bd60322df203

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:33.991997Z digest=sha256:94efd6c50120a68959fd756939f67cffecfc9bc2af3a45b253f063b8427c1e98

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:34.049572Z digest=sha256:a5adfdc79d49acdc9bb0798231095094546d7a9533e65b528dc5b104e75e8c16

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:34.103425Z digest=sha256:9cee9e32e91aff1d0a362d9fa60ab64e7710e64eb4d6b5879004f4900d942a5a

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:c3a824f50fa5a8d97fb9ebc2f01c5f38a005d3e895f36e654408dd6906a9844c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:38:34.233234Z digest=sha256:b33b7d50c5bf73b4438334fc4c72f7d7509b78765826e4b34ba44b98c888513a

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=sha256:0e3854c160867fefea4b3490cab248bf3be2228287f881996ac20d922116d59b

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:c4b6bca63059f1eeb5aeb26c64aa4378dd23032b890ab0de18148fe52fc47332

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:b38f1cbdb66a227dcd59df980c0a8bfe1b3e7b0aa42240206ccc4b58b5d3edda

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=sha256:25c689e23867cdca45fcae4d20cbf27d9d1d8f69731f6f345f2d0853efbb2815

Pith citing papers

No inbound Pith citation observations are available.