Paper Citation Record · LEDGER

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.07280.

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

pith.paper-citation-record.v1
2608.07280 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:13:43.733204Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7fe8463-6b1b-439d-9b0a-a7a5a72249c2 · outbound

This paper cites Advances in neural information processing systems , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Advances in neural information processing systems , volume=

Reference 1

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Source-reported events for the cited work

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Observation ec1edc5a-9081-485d-800e-82d8864b1820 · outbound

This paper cites 2018 , eprint=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction 2018 , eprint=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:44.093267Z

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Observation 7cc837c2-d7b2-4c0f-a5fb-dd00e1c11993 · outbound

This paper cites Advances in neural information processing systems , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Advances in neural information processing systems , volume=

Reference 4

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This paper cites International conference on machine learning , pages=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction International conference on machine learning , pages=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:44.078086Z

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Observation a2c1d3d1-5256-4209-90a0-2711984ca94e · outbound

This paper cites Advances in neural information processing systems , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Advances in neural information processing systems , volume=

Reference 6

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Observation c8554099-b597-4900-881d-38e801740a5f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Advances in Neural Information Processing Systems , volume=

Reference 8

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Observation c1a59754-7dee-4f13-8c8b-39e3547ac778 · outbound

This paper cites Artificial Intelligence Review , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Artificial Intelligence Review , volume=

Reference 10

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Observation 81c53664-7fd8-4ccb-ae36-26b766c0b2a5 · outbound

This paper cites Journal of Economic Literature , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Journal of Economic Literature , volume=

Reference 11

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Observation e615f39e-6ab3-424d-adcf-e1ee62097986 · outbound

This paper cites PLOS Computational Biology , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction PLOS Computational Biology , volume=

Reference 12

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Observation c8d3e01d-e829-4f5f-bd51-9923dbbdaa9e · outbound

This paper cites Simulating social phenomena , pages=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Simulating social phenomena , pages=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:44.035578Z

Source-reported events for the cited work

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Observation 4db33246-0bc4-4d02-a42e-ff088c392bf9 · outbound

This paper cites 2019 , publisher =.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction 2019 , publisher =

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:44.026018Z

Source-reported events for the cited work

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Observation 466debc6-3962-4a6d-ba99-aed21feb3141 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 15

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Source-reported events for the cited work

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Observation 24f6ee4c-6639-48c4-a8dd-a2036bee64f4 · outbound

This paper cites Science , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Science , volume=

Reference 16

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Source-reported events for the cited work

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Observation 8138da85-2c4e-47b9-b167-844e603a99b3 · outbound

This paper cites Colorado Technology Law Journal , volume=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Colorado Technology Law Journal , volume=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.996690Z

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Observation e3beb7c4-40dc-406f-9a9a-71ef3a6967dd · outbound

This paper cites Social theory re-wired , pages=.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Social theory re-wired , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.986454Z

Source-reported events for the cited work

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Observation 772b6fa1-17bd-43fe-be72-fb9252d1c23e · outbound

This paper cites Building a foundation for data-driven, interpretable, and robust policy design using the.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Building a foundation for data-driven, interpretable, and robust policy design using the

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.976796Z

Source-reported events for the cited work

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Observation c6913b40-331a-4f1c-9445-4209f962abe8 · outbound

This paper cites and Socher, Richard , journal =.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction and Socher, Richard , journal =

Reference 20

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Observation ca16c811-ef3c-4255-b55f-be74f77224d6 · outbound

This paper cites Advancing the art of simulation in the social sciences.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Advancing the art of simulation in the social sciences

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e266f9cb-1136-4b27-a486-57b0b11f2f6d · outbound

This paper cites Agent-based modeling in economics and finance: Past, present, and future.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Agent-based modeling in economics and finance: Past, present, and future

Reference 23

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Observation 1855dab7-9c96-4c50-86f5-f6ef6092c94a · outbound

This paper cites Exposure to ideologically diverse news and opinion on facebook.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Exposure to ideologically diverse news and opinion on facebook

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.946687Z

Source-reported events for the cited work

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Observation d0deff68-77db-4057-8991-b8f4651853d0 · outbound

This paper cites Deep reinforcement learning from human preferences.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Deep reinforcement learning from human preferences

Reference 25

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Observation 5c152cc0-8519-4940-a48a-098ad4e570ee · outbound

This paper cites Multi-agent deep reinforcement learning: a survey.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Multi-agent deep reinforcement learning: a survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.931102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25b2c824-f475-4c3a-92b2-7dbd775a5725 · outbound

This paper cites Leibo, Matthew G.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Leibo, Matthew G

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.921155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be5384b4-43b1-4dac-8c38-86ff9242eb46 · outbound

This paper cites Social influence as intrinsic motivation for multi-agent deep reinforcement learning.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Social influence as intrinsic motivation for multi-agent deep reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.912248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76f78d79-e76e-4b47-ad35-cc562439239e · outbound

This paper cites Covasim: an agent-based model of covid-19 dynamics and interventions.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Covasim: an agent-based model of covid-19 dynamics and interventions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.902973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b38be00-60a9-4cd4-aa02-b1c2c6280777 · outbound

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

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Reference 30

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Observation 3cc8b0a5-815d-48cf-9357-d58ee0e680b0 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Scalable agent alignment via reward modeling: a research direction

Reference 31

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Observation 1814b975-231d-4f06-9a20-ce47150dea6f · outbound

This paper cites The Alignment Problem from a Deep Learning Perspective.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction The Alignment Problem from a Deep Learning Perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T11:13:43.700315Z

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Observation fd68d971-23c1-4a40-a31a-ebe672ce84c4 · outbound

This paper cites Training language models to follow instructions with human feedback.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Training language models to follow instructions with human feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T11:13:43.702892Z

Source-reported events for the cited work

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Observation 9b3aeb6c-a77a-48bb-b7d8-6653c949b0cc · outbound

This paper cites A multi-agent reinforcement learning model of common-pool resource appropriation.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction A multi-agent reinforcement learning model of common-pool resource appropriation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.887535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77083b68-abee-4377-80ee-8c649204d8c4 · outbound

This paper cites Learning to summarize with human feedback.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Learning to summarize with human feedback

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.877029Z

Source-reported events for the cited work

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Observation a975993b-a186-492f-9bf0-9e3c34dd226f · outbound

This paper cites Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T11:13:43.712685Z

Source-reported events for the cited work

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Observation 2d55d557-fc4d-49db-beb6-b7bb9aaeff6d · outbound

This paper cites Algorithmic harms beyond facebook and google: Emergent challenges of computational agency.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Algorithmic harms beyond facebook and google: Emergent challenges of computational agency

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.865424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fbc3a772-0c88-4470-8403-e76f567df19a · outbound

This paper cites An open source implementation of sequential social dilemma games.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction An open source implementation of sequential social dilemma games

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.855199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af4e319c-b131-4fb0-9454-55da045c73ca · outbound

This paper cites Rewarded Region Replay (R3) for Policy Learning with Discrete Action Space.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Rewarded Region Replay (R3) for Policy Learning with Discrete Action Space

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:13:43.783942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 651724a3-7dd8-4a79-a777-9f708a4fed78 · outbound

This paper cites Parkes, and Richard Socher.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Parkes, and Richard Socher

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.845084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 190f5422-449a-42dd-bb65-f16d434bcae3 · outbound

This paper cites Decoding global preferences: Temporal and cooperative dependency modeling in multi-agent preference-based reinforcement learning.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction Decoding global preferences: Temporal and cooperative dependency modeling in multi-agent preference-based reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.835086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ecca495a-72c2-4db3-bffb-e35bd422615b · outbound

This paper cites The age of surveillance capitalism.

Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction The age of surveillance capitalism

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:13:43.824912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.