Paper Citation Record · LEDGER

Melting Pot 2.0

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2211.13746.

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

pith.paper-citation-record.v1
2211.13746 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:11.383045Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:26:11.053924Z

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 8fbcffd2-181c-4839-a5e9-0c3f915c0be6 · inbound

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma cites this paper.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Melting Pot 2.0

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T20:16:21.380902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dcaeae4-99f2-4489-82c2-3408e6a44253 · inbound

A theory of appropriateness with applications to generative artificial intelligence cites this paper.

A theory of appropriateness with applications to generative artificial intelligence Melting Pot 2.0

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:06.428112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578a19d1-d6f2-41a1-a9b5-ab2fb4ad155c · inbound

A Minimax Approach to Ad Hoc Teamwork cites this paper.

A Minimax Approach to Ad Hoc Teamwork Melting Pot 2.0

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T12:34:10.465720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c254d391-8a33-4bf5-a72a-c05a91adc73b · inbound

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors cites this paper.

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors Melting Pot 2.0

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:11.383045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0080d6aa-69a4-4110-bdbe-11859258ea00 · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning Melting Pot 2.0

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:05.490280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a3df4e-59ed-4801-bbe1-383d9630ae0d · inbound

Sorrel: A simple and flexible framework for multi-agent reinforcement learning cites this paper.

Sorrel: A simple and flexible framework for multi-agent reinforcement learning Melting Pot 2.0

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:13.910003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ae6265-05ce-42ad-8f92-17dd16f5cdeb · inbound

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning cites this paper.

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning Melting Pot 2.0

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:54:51.071885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb30152-bd25-4b84-b799-820587482dd7 · inbound

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning cites this paper.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Melting Pot 2.0

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:32.017785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab216fe6-3627-4e9f-9450-3ae042d482cb · inbound

Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas cites this paper.

Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas Melting Pot 2.0

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:40:14.590197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 031c9d87-288c-4cba-a73c-5bb5b0287584 · inbound

ActionParty: Multi-Subject Action Binding in Generative Video Games cites this paper.

ActionParty: Multi-Subject Action Binding in Generative Video Games Melting Pot 2.0

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:56:25.702301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efad8db7-b1fa-4df1-b7f5-5125c34b5e88 · inbound

Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition cites this paper.

Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition Melting Pot 2.0

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:38.440931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6bf5b80-299b-4bec-804d-3ff3c5d4d63a · inbound

Metric-Gradient Projection for Stable Multi-Agent Policy Learning cites this paper.

Metric-Gradient Projection for Stable Multi-Agent Policy Learning Melting Pot 2.0

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:13:46.731145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f7a5f70c-ba09-48b8-ac61-afd210f3f65b · inbound

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents cites this paper.

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents Melting Pot 2.0

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:07:25.837587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 546b4309-3337-4d6a-9ecb-3c90097d78c4 · inbound

Social-spatial dependencies for learning visual navigation cites this paper.

Social-spatial dependencies for learning visual navigation Melting Pot 2.0

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T10:26:11.055082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75c6ec6c-51bf-450b-b418-fa73aa07f207 · inbound

Adaptive Multi-Horizon Reinforcement Learning cites this paper.

Adaptive Multi-Horizon Reinforcement Learning Melting Pot 2.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T09:46:26.449773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa2ef9f-167e-4585-883b-af4bfbf96553 · inbound

Training Small LLMs as Spatial Multi-Agent Policies cites this paper.

Training Small LLMs as Spatial Multi-Agent Policies Melting Pot 2.0

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T00:17:19.036828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.