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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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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  • verified fuzzy26
  • unresolved11
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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.605185Z digest=sha256:55d9de339e54d26b6ef2bfcfa010690777dba1923c3197d44553068528a40bb7

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.608190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.608190Z digest=sha256:6f6feffc1387856f7253ba0b901b23943cc8fe5f9c4f7881f68622da89a5a294

Observation 71d450c1-3f68-4754-9fa6-92b424713fe1 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.611603Z digest=sha256:231624f82e161993149bf70c8184fec08025803c940e2cd8cbf135a21a54a858

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.615625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.615625Z digest=sha256:74d8bf7ab821b5869449925a613844df9cd04f1bde294d465ec234602cde83de

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.622613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.622613Z digest=sha256:ba7be8560bc786406ba6bd715f6bb367df081286cb799536a93c0465e2e253c8

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.629547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.629547Z digest=sha256:91d7fc4a084c83c546348fae2af5e04d83e8dbb23248d5760161d50c8c6dcb25

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.632888Z digest=sha256:34a771e21b8cd2599c7474072aff6a7d73951e41cd4ceb763d8b88c5ef004136

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:13:44.044048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.636108Z digest=sha256:585ffcd8c6e632965e4d3be787936023331bc05f35d8c0f263a59a9b9e0ab260

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.639271Z digest=sha256:4255b018af40c50137142f1b658de1991a4d1323f5d9682a34ecae249e5bc850

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.642654Z digest=sha256:31787c5fee031f01f1331c54b9692c4eff2423e71b8d690bb48513aaec33dcbb

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.645771Z digest=sha256:8e90ad236f1b2658f92b115d4acbf1ee9e1a20ee314948f7e52ebe28f2bb28b6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:13:44.007273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.648861Z digest=sha256:10bb025368b9094473f7bb2b871352814ed22be37d34da94e59d2fe9541be847

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.651910Z digest=sha256:d40c0d76095075d1f556379308b8c67fa3b70c16b21d00cc2d34f2c732c2ffe8

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.655187Z digest=sha256:f42143c9944bf34cfa11eaa5b01e63542819b668459c2393d1d237688e7eb927

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.658522Z digest=sha256:7531b427311e275a5c588baace6ee7d07593cabf42b93f2b60cf6598b11365ae

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.661598Z digest=sha256:3fc8cdcb2bd07415b3857f609277063352444435aaf399a9266e7b25bcf5e016

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:13:43.966624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:13:43.957027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.672221Z digest=sha256:9102971fa8247612eb31dfb83344964314d3ada9933ba9e132b9f8b875ad0ab1

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.676569Z digest=sha256:d3f9bfc5a43b7a4dec607fd2e45d6dc4fd29489aed4a059b4a2aae1328bb5871

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.679728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.679728Z digest=sha256:0734c5c79683da176db2f076862c8c99b361578ada366c32250bc47e332faa4c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.683180Z digest=sha256:37532a82550bcd19a3caa512180f19283cdf228fa6245dda85366877614dc044

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.686240Z digest=sha256:78f0b365ae0346303984acd9922a08843ede661dc5fe2284b9558c1f0aa5db0a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.689012Z digest=sha256:0a0cf108099d81eacc44a978fd09f28a82f5e8b93c72800f53b3f9f890da2da2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.691902Z digest=sha256:03aba529f696509a89754ac3daddb57ce5914097dd873e9797834334cfcf7f09

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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unresolved
no resolver link, observed 2026-08-10T11:13:43.694718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.694718Z digest=sha256:e04915917241965ba6f95bbd6f7005304327df39db2039f40a2e34230069b74f

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

Resolution
unresolved
no resolver link, observed 2026-08-10T11:13:43.697532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.697532Z digest=sha256:0a113bfc550285cf4ca43b560c1724829e567cede31442e3fa2ae9e8122184cf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.700315Z digest=sha256:c773cf194d23c91ad19ef5dd91a75af7e726721f6423c9b1f499edaaedca37bb

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.702892Z digest=sha256:f3bb6d1ce66b6b5792ae5e36ee9d6b8d3d0713421a23890e1a2fc7874613645d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.705891Z digest=sha256:03b9ba150add5f07d791131a4117643d22a6b687f27a08181b85e1f5ef34449c

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.709492Z digest=sha256:92f94e41f79375782be9fa650c8e61862e79407bb8c7845611de7af9e2021016

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:13:43.712685Z digest=sha256:f2854c7b3fd1e9848c445bdb90bfeac24d97750fa207092282b432077011c409

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.716961Z digest=sha256:a7852421320911d1afe7cc7c5e02668dad943be9ca40fb234faf3a608f5c70dd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.720351Z digest=sha256:1549c7e867d880f4eda6f7038965de15dd53ff8276cd8e48d12422fce3a14c99

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.723740Z digest=sha256:b03c12a8f37888769a15153d7c075db2204787ea7b90155387ffbbb2c1503e30

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.726806Z digest=sha256:6c726718d24b5a657f9ff13f56e8084d8f496492a1701bc7f0abc60e25ab5157

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.730182Z digest=sha256:c834dd7cad5e78546f7de882f8701e0587488c4a4feb44989f0edd103eb387d6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T11:13:43.733204Z digest=sha256:a6c7e5a437a62ec04895d34037814f4a3506eb3ec92eaf727afb29a2fa1db4ad

Pith citing papers

No inbound Pith citation observations are available.