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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:b670f366a0004bb8b332b216343a015eeaec44a1dd32b96ae281494e2686f898

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=sha256:816de48e6f024d60ee15b93b19b454f41e9d8a415d3e2be64394951bd946004e

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=sha256:91b0ec68eec442b61dddda08fc1fb9397fb59961f820cbb224ece7f84fecbf11

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=sha256:1615cb1435021461cfe4fd491e96fe877b8aa5dcda87196cdb408361c84f41ad

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:c6ac13533a3a75e3d82410a7245056301995154a349c03e08070a6484c6e6999

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=sha256:19f3c12a688c70d418a7f3df397b7e53dbe8a5f238641a41b47dcc9295066494

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=sha256:5003520430bfa2464a653922334d99da1a6d3907c9f6e52dd9a8437e1e1168d3

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:b498a58c22c49242cc76153bc7888c88ff42dac683bf2946ddbccb53d51b0994

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:e17fab18ad401f95f379b39dd0926f1dc20a5e19d94bab53202334047882f163

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=sha256:7b7cb607bb94d59fb4dbb46b26d0fdf2f5a42e7e4781245838ed85ae66b5fdd2

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=sha256:3ac30fc4b37922f43a98689b1d8f32ba46c1d45dc925084a3537b5791312540a

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=sha256:856bc945dd526ca1c55159594fa4ad069e92aa9956ff5c6bef6fe16f25a99a90

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=sha256:5ced82025a39e6c3d1f11f9919a940cb58a53ab41a8809c5c8a5726904b52e75

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:e5b5a27df03e7e70e1b5a524b19157164301c26f97dd30f4680c3d10d86bf073

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=sha256:91b4071a19b353c992246fe436ebe84efab34fbe6d2553a279223322d57929f1

Pith citing papers

No inbound Pith citation observations are available.