Paper Citation Record · LEDGER

Calculating Mutual Information between a Reward Maximizer and its Environment

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2602.12963.

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

pith.paper-citation-record.v1
2602.12963 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:49:13.596563Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e3fe48a-588d-47b7-ab43-4d14e62e5a2d · outbound

This paper cites Un- derstanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025.

Calculating Mutual Information between a Reward Maximizer and its Environment Un- derstanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.095103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3652af-c5ab-4b61-a99b-fa0245389e3c · outbound

This paper cites Towards a formalization of the agent structure problem.

Calculating Mutual Information between a Reward Maximizer and its Environment Towards a formalization of the agent structure problem

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.258549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41e4456-b722-4f07-98c0-328c269f6bc3 · outbound

This paper cites General agents need world models.

Calculating Mutual Information between a Reward Maximizer and its Environment General agents need world models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.439453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ab1773-502a-49db-82df-e7abcdd5fdc6 · outbound

This paper cites Settling the reward hypothesis.

Calculating Mutual Information between a Reward Maximizer and its Environment Settling the reward hypothesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.562592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ca5bdb-a5f8-4b1d-b733-3e072f9b219f · outbound

This paper cites Theory of games and economic behavior: 60th anniversary commemorative edition.

Calculating Mutual Information between a Reward Maximizer and its Environment Theory of games and economic behavior: 60th anniversary commemorative edition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.739683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d393cda6-21de-41cd-b691-663d49d15f39 · outbound

This paper cites Sutton and Andrew G.

Calculating Mutual Information between a Reward Maximizer and its Environment Sutton and Andrew G

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:11.863297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c86aaf1-d795-4000-8da6-0eef4a566a38 · outbound

This paper cites Intelligence without representation.Artificial intelli- gence, 47(1-3):139–159, 1991.

Calculating Mutual Information between a Reward Maximizer and its Environment Intelligence without representation.Artificial intelli- gence, 47(1-3):139–159, 1991

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.049213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd0cab2-65ce-451b-8acd-d9d533e87d7e · outbound

This paper cites The bitter lesson.Incomplete Ideas (blog), 13(1):38, 2019.

Calculating Mutual Information between a Reward Maximizer and its Environment The bitter lesson.Incomplete Ideas (blog), 13(1):38, 2019

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.201047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4398e965-cbfc-46bc-bf11-d5167ddae59a · outbound

This paper cites World Models.

Calculating Mutual Information between a Reward Maximizer and its Environment World Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.322309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8f54fc-3bc4-4a36-83e0-4a9f88966cb7 · outbound

This paper cites Information-theoretic approach to the study of control systems.Physica A: Statistical Mechanics and its Appli- cations, 331(1-2):140–172, 2004.

Calculating Mutual Information between a Reward Maximizer and its Environment Information-theoretic approach to the study of control systems.Physica A: Statistical Mechanics and its Appli- cations, 331(1-2):140–172, 2004

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.449584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 584c8a66-b773-4203-a89d-1a8991ffc0be · outbound

This paper cites Robust agents learn causal world models.

Calculating Mutual Information between a Reward Maximizer and its Environment Robust agents learn causal world models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.592843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7128e84-2c7e-4286-8d94-c69f5b10ea6a · outbound

This paper cites General agents contain world models, even under par- tial observability and stochasticity.arXiv preprint arXiv:2602.03146, 2026.

Calculating Mutual Information between a Reward Maximizer and its Environment General agents contain world models, even under par- tial observability and stochasticity.arXiv preprint arXiv:2602.03146, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.717620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc28576c-5617-451c-a329-2048f28c2a6a · outbound

This paper cites John Wiley & Sons, 1999.

Calculating Mutual Information between a Reward Maximizer and its Environment John Wiley & Sons, 1999

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.832985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 519a8eae-4d91-4e25-be99-7a18e303b21a · outbound

This paper cites The Zero Set of a Real Analytic Function.

Calculating Mutual Information between a Reward Maximizer and its Environment The Zero Set of a Real Analytic Function

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:12.985514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281b0e34-4bc1-43ab-880d-ae7425e459c3 · outbound

This paper cites Spivak.Calculus On Manifolds: A Modern Approach To Classical The- orems Of Advanced Calculus (1st ed.).

Calculating Mutual Information between a Reward Maximizer and its Environment Spivak.Calculus On Manifolds: A Modern Approach To Classical The- orems Of Advanced Calculus (1st ed.)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:13.125841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9bd66fc-3985-40c4-ac07-357cd25ef09f · outbound

This paper cites Number 2.

Calculating Mutual Information between a Reward Maximizer and its Environment Number 2

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:13.273065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52126812-be58-4599-a0d5-aa32a1f89244 · outbound

This paper cites an unresolved cited work.

Calculating Mutual Information between a Reward Maximizer and its Environment Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:13.412807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ac7b669-87d7-41bc-b065-246ed2f1bb7e · outbound

This paper cites Courier Corporation, 2012.

Calculating Mutual Information between a Reward Maximizer and its Environment Courier Corporation, 2012

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:13.596563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22eef67d-ca49-464c-9f1a-440385ca21ef · outbound

This paper cites an unresolved cited work.

Calculating Mutual Information between a Reward Maximizer and its Environment Unresolved cited work

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-02T23:49:13.495204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.