Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.09856.

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

pith.paper-citation-record.v1
2411.09856 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:16:21.658372Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

verified exact3
verified fuzzy21
unresolved14
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb3fe52d-0114-4c3f-923b-9cf77f89ca82 · outbound

This paper cites Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning

Reference 2

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Observation c53e436a-f01f-4e1d-8a68-362746a3bacd · outbound

This paper cites Accessed 27-11-2024.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed 27-11-2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.650569Z

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Observation e1bb2e21-6754-4af4-a5f4-f0e7318f3cd1 · outbound

This paper cites Denis Cormier and Michel Magnan.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Denis Cormier and Michel Magnan

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.634901Z

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Observation 1113b46e-075d-4c92-af75-64ad4b88a334 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 7

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Observation c8e5d48f-c9bf-40a7-aa68-261599a18139 · outbound

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InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Unresolved cited work

Reference 10

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Observation e9cfce41-19fd-4cf8-b449-a17e4f737fb6 · outbound

This paper cites Accessed: 2024-11-26.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed: 2024-11-26

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-12T20:16:22.024972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a2915e9-9eb2-4a51-bb50-6cc45e94def5 · outbound

This paper cites Paul Griffin and CR Heede.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Paul Griffin and CR Heede

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.433326Z

Source-reported events for the cited work

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Observation 5ab20578-885f-4fa6-9285-a84180b9ae13 · outbound

This paper cites Korea to enhance esg disclosures as part of corporate sustainability efforts,.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Korea to enhance esg disclosures as part of corporate sustainability efforts,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.415820Z

Source-reported events for the cited work

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Observation f6fa4b88-40eb-4c80-a245-907245035b91 · outbound

This paper cites Accessed: 2024-08-22.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed: 2024-08-22

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.396824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5da2b42d-0530-41bb-a26c-80c4c3007d88 · outbound

This paper cites Multi-agent Reinforcement Learning in Sequential Social Dilemmas.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Reference 17

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Observation 949c29a3-b2b4-4b7a-98d6-7d27512d0e9c · outbound

This paper cites Learning to run a Power Network Challenge: a Retrospective Analysis.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Learning to run a Power Network Challenge: a Retrospective Analysis

Reference 19

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Observation 2a15f643-06b6-4cce-83d7-6c91bc162b80 · outbound

This paper cites Masson-Delmotte, P.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Masson-Delmotte, P

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.379997Z

Source-reported events for the cited work

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Observation 80e2c65f-1baa-44ee-a56a-31522c5b5497 · outbound

This paper cites Accessed: 2024-09-19.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed: 2024-09-19

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.364151Z

Source-reported events for the cited work

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Observation afcc64d1-949b-4b4e-b25a-f080cf64d2e5 · outbound

This paper cites climateimpact.com/news-insights/fortune-global-500-climate-commi tments/.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma climateimpact.com/news-insights/fortune-global-500-climate-commi tments/

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.347078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d0c5150-6832-45c4-9d62-8d1b1d0b5330 · outbound

This paper cites Automatic differentiation in pytorch.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Automatic differentiation in pytorch

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.330775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edecb7a3-71d3-4d6a-9a9e-c53f17cb21cf · outbound

This paper cites The StarCraft Multi-Agent Challenge.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma The StarCraft Multi-Agent Challenge

Reference 26

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Source-reported events for the cited work

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Observation 5211f99b-6e25-4b03-ae70-c111a6f57e3d · outbound

This paper cites The enhancement and standardization of climate-related disclosures for investors; delay of effective dates, 2024a.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma The enhancement and standardization of climate-related disclosures for investors; delay of effective dates, 2024a

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.298526Z

Source-reported events for the cited work

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Observation aae57794-dfeb-4593-bb1b-e8172699c9d5 · outbound

This paper cites doi: 10.3926/ic.1354.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma doi: 10.3926/ic.1354

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c852d8db-9d09-4505-a7af-243e95d85d1b · outbound

This paper cites more than words.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma more than words

Reference 29

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Observation a018b23a-2373-4870-9199-4f026bcb6b59 · outbound

This paper cites Accessed: 2024-09-19.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed: 2024-09-19

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.280180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d6df54c-0ada-482a-9bbc-81d61d1e231e · outbound

This paper cites Accessed: 2024-09-27.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Accessed: 2024-09-27

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.262091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 911b91d8-105a-4600-ba7c-ba4a4efb2808 · outbound

This paper cites Learning to Incentivize Other Learning Agents.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Learning to Incentivize Other Learning Agents

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:16:21.803204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62d2fd13-9658-48f1-b6f6-c87ffa5ea98f · outbound

This paper cites AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

Reference 33

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Observation 67ee1de3-2208-419c-a311-c9bb537f2229 · outbound

This paper cites The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

Reference 34

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Observation 9fdcce08-c168-4eec-8960-2d9d7ce211db · outbound

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InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:16:22.228159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e004bb0-5dc4-4d67-b27a-663734f9cb03 · outbound

This paper cites State and Observation Space.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma State and Observation Space

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.210106Z

Source-reported events for the cited work

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Observation 675b394a-4eaf-4b80-9a23-aaf20263e98c · outbound

This paper cites Ut,m = Ut−1,m + MX i=1 uCi t,m × K Ci t+1,interim (5) U Ci t,r = U Ci t−1,r + uCi t,r × K Ci t+1,interim for i = 1,.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Ut,m = Ut−1,m + MX i=1 uCi t,m × K Ci t+1,interim (5) U Ci t,r = U Ci t−1,r + uCi t,r × K Ci t+1,interim for i = 1,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.194087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e6aa3ec-5e49-4231-ad58-979c36e2f647 · outbound

This paper cites Each agent has its own policy parameters, and agents do not share parameters among themselves.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Each agent has its own policy parameters, and agents do not share parameters among themselves

Reference 39

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T20:16:22.177770Z

Source-reported events for the cited work

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Observation d5edd51a-1c55-47d0-8d55-5af88a985630 · outbound

This paper cites To reflect the capital inflexibility, we implemented a 5-year lock-in period for agent decisions.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma To reflect the capital inflexibility, we implemented a 5-year lock-in period for agent decisions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.145406Z

Source-reported events for the cited work

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Observation f0e62e0b-3f39-4044-b509-15019b4ca5f0 · outbound

This paper cites Company agents can mitigate the growth of climate risk by investing in emissions reduction.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Company agents can mitigate the growth of climate risk by investing in emissions reduction

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.246019Z

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Observation ba60d924-4a11-48c9-b608-2b120474bb3c · outbound

This paper cites Nearly half of fortune 500 companies engaged in major climate initiatives.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Nearly half of fortune 500 companies engaged in major climate initiatives

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.450351Z

Source-reported events for the cited work

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Observation 1ef9d8d5-c9a7-4380-96e3-c063b4f61d07 · outbound

This paper cites P ¨ortner, D.C.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma P ¨ortner, D.C

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.315831Z

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Observation 9dd8ac4a-79d6-48cd-b60d-f06900b67c04 · outbound

This paper cites Durugkar, Clemens Rosenbaum, Stefan Dernbach, and Sridhar Mahadevan.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Durugkar, Clemens Rosenbaum, Stefan Dernbach, and Sridhar Mahadevan

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.483785Z

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Observation ed8eff85-d99a-4c4f-aac8-f2b4b61b642c · outbound

This paper cites Deep Reinforcement Learning With Macro-Actions.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Deep Reinforcement Learning With Macro-Actions

Reference 2016

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Observation 63273d27-1d40-4b07-a836-793c78f8f9ae · outbound

This paper cites Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T20:16:21.890921Z

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Observation 212e1f14-7295-4d40-8222-e8b11c3ff011 · outbound

This paper cites On the Utility of Learning about Humans for Human-AI Coordination.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma On the Utility of Learning about Humans for Human-AI Coordination

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T20:16:21.442723Z

Source-reported events for the cited work

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Observation 9f634f09-6a3a-4b12-a1d5-20c0671b38ac · outbound

This paper cites What drives firms’ investment in climate action? evidence from the 2022-2023 eib investment survey.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma What drives firms’ investment in climate action? evidence from the 2022-2023 eib investment survey

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.467421Z

Source-reported events for the cited work

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Observation 1509ab4c-6563-4359-b0f4-56dbdb81e6a7 · outbound

This paper cites Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, and Noah Dor- mann.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, and Noah Dor- mann

Reference 2022

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Observation 8fbcffd2-181c-4839-a5e9-0c3f915c0be6 · outbound

This paper cites Melting Pot 2.0.

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

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Observation 311244f5-adbe-4ab7-9365-3f2c7674fabf · outbound

This paper cites 11 Published as a conference paper at ICLR 2025 Frances E Bowen.

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma 11 Published as a conference paper at ICLR 2025 Frances E Bowen

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:16:22.664922Z

Source-reported events for the cited work

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Pith citing papers

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