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Paper Citation Record · LEDGER

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.08240.

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

pith.paper-citation-record.v1
2608.08240 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:25:05.302016Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

51 of 51 outbound references displayed

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  • verified fuzzy41
  • unresolved9
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9388e959-4d6c-47a6-a7e0-5a0f76804d3c · outbound

This paper cites Bayesian theory of mind: Modeling joint belief-desire attribution.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Bayesian theory of mind: Modeling joint belief-desire attribution

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a76df33b-e3e3-497b-a059-4ef996c522f2 · outbound

This paper cites semantically loaded.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences semantically loaded

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e62592cb-172e-41d4-97ed-9aeeeda4aea1 · outbound

This paper cites Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6041e30f-3224-4fb8-8682-468e50fc4ae7 · outbound

This paper cites Ai deskilling is a struc- tural problem.AI & SOCIETY, pages 1–13,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Ai deskilling is a struc- tural problem.AI & SOCIETY, pages 1–13,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1dc2243e-41c5-4be6-8fd1-6286a0016e20 · outbound

This paper cites The effect of model- ing human rationality level on learning rewards from mul- tiple feedback types.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences The effect of model- ing human rationality level on learning rewards from mul- tiple feedback types

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b9235d94-d183-485f-a103-4aa6a797287f · outbound

This paper cites Clarendon Press,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Clarendon Press,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2cc87b81-b9f2-4397-a1db-77d9cf51da42 · outbound

This paper cites Position: Humanity faces existential risk from grad- ual disempowerment.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Position: Humanity faces existential risk from grad- ual disempowerment

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 591c3110-b315-4320-a0f0-606d52e16609 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A path towards autonomous machine intelligence version 0.9

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.149477Z digest=sha256:cf9497739a1a2ca0f7e10ce908e7a2fcd9b96df6926121d8ccb078c7ac37c016

Observation 7154ceb7-ad06-483d-aa0a-ca7360d58e0f · outbound

This paper cites Bakker, Fazl Barez, Matija Franklin, Andreas Haupt, Jobst Heitzig, Wesley H.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Bakker, Fazl Barez, Matija Franklin, Andreas Haupt, Jobst Heitzig, Wesley H

Reference 22

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Observation f0dfcb12-006d-44f5-b27f-d72eb95e1b6a · outbound

This paper cites Bloomsbury Publishing,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Bloomsbury Publishing,

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5ba7efed-74be-4182-901d-1b723e552cf0 · outbound

This paper cites Performative reinforcement learning.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Performative reinforcement learning

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bd8c648b-867a-4fbe-84fe-8ca013840d30 · outbound

This paper cites Learning to assist humans without inferring rewards.Advances in Neural Information Processing Systems, 37:71540–71567,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Learning to assist humans without inferring rewards.Advances in Neural Information Processing Systems, 37:71540–71567,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b00b38db-2fd3-453b-aa04-90ea7d2a75dc · outbound

This paper cites Yale University Press,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Yale University Press,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77ee0513-0b29-4eb1-a339-7f46841bfea5 · outbound

This paper cites Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.198880Z digest=sha256:413ba83af37af0410f02aa89e0288a1875215484a7b9019d10084e699e86c814

Observation ff0d6c92-e97d-4a44-90c7-9660eae7991f · outbound

This paper cites A theory of anticipated utility.Journal of economic behavior & organization, 3(4):323–343,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A theory of anticipated utility.Journal of economic behavior & organization, 3(4):323–343,

Reference 32

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raw_fallback, observed 2026-08-12T00:25:05.841783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation feecb140-84c3-4a0e-881c-c5a3c15340e5 · outbound

This paper cites Possibility theorems with interpersonally comparable welfare levels.The Re- view of Economic Studies, 47(2):409–420,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Possibility theorems with interpersonally comparable welfare levels.The Re- view of Economic Studies, 47(2):409–420,

Reference 35

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a870b20c-8c32-423d-9194-bbf3bca1141f · outbound

This paper cites Empowerment as replacement for the three laws of robotics.Frontiers in Robotics and AI, 4:260425,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Empowerment as replacement for the three laws of robotics.Frontiers in Robotics and AI, 4:260425,

Reference 38

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 90c4615b-62fe-430b-bb24-caf0fe89d7c7 · outbound

This paper cites Conservative agency via attainable utility preservation.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Conservative agency via attainable utility preservation

Reference 41

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d3a0cc50-9990-406b-90c8-3d33373c0e27 · outbound

This paper cites Moral deskilling and up- skilling in a new machine age: Reflections on the am- biguous future of character.Philosophy & Technology, 28(1):107–124,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Moral deskilling and up- skilling in a new machine age: Reflections on the am- biguous future of character.Philosophy & Technology, 28(1):107–124,

Reference 42

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 36537534-889d-4aa8-b7a6-4238f511c653 · outbound

This paper cites Consequences of misaligned AI.Advances in Neural Information Processing Systems, 33:15763–15773,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Consequences of misaligned AI.Advances in Neural Information Processing Systems, 33:15763–15773,

Reference 44

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 802bede9-d09b-43ec-bd83-0f30b4cce9c7 · outbound

This paper cites This is the Pigou–Dalton axiom in its traditional form.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences This is the Pigou–Dalton axiom in its traditional form

Reference 45

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4be04d24-2559-4184-9d5a-585c6f8eaa08 · outbound

This paper cites non- expected.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences non- expected

Reference 46

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6c887e19-b537-4943-addd-76e5e4b94333 · outbound

This paper cites Also (P5) can be treated very similarly, only using ˜f(y) = f(log 2 y)instead off.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Also (P5) can be treated very similarly, only using ˜f(y) = f(log 2 y)instead off

Reference 47

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Observation 344ae2f0-457f-4015-ab57-2c69df9d12e9 · outbound

This paper cites an unresolved cited work.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Unresolved cited work

Reference 48

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3d4a9bc7-5444-4b00-9f9c-4ae1629e2d53 · outbound

This paper cites not committed.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences not committed

Reference 49

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Observation 47100504-ce36-4a2d-9f4d-ca01acd9ed26 · outbound

This paper cites intrinsic reward.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences intrinsic reward

Reference 51

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raw_fallback, observed 2026-08-12T00:25:05.596638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.302016Z digest=sha256:5b9b058c7a915d455b7378c23b1db449624a5b166529bb5dacd69030150bdff3

Observation 7c602f5a-67d2-47a5-8fa1-daec2d2e5fa1 · outbound

This paper cites First contact: Unsupervised human- machine co-adaptation via mutual information maximiza- tion.Advances in Neural Information Processing Systems, 35:31542–31556,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences First contact: Unsupervised human- machine co-adaptation via mutual information maximiza- tion.Advances in Neural Information Processing Systems, 35:31542–31556,

Reference 1928

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.211665Z digest=sha256:6d25e5f1afd8b70078d02db6679a9a263b2d2b9a8406437df236c5de22e89ecc

Observation 1541ed3a-fb24-4a59-b402-214bbe2a55a4 · outbound

This paper cites A Survey of World Models for Autonomous Driving.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A Survey of World Models for Autonomous Driving

Reference 1959

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no resolver link, observed 2026-08-12T00:25:05.102250Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.102250Z digest=sha256:eae3434ec54d4ddbd4ab0ed72069cfc5cbf6116cd11670bc06d7c207e75bfc76

Observation c643c910-3fe0-4024-8e06-98648bc4fba5 · outbound

This paper cites Penalizing side effects using stepwise relative reachability.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Penalizing side effects using stepwise relative reachability

Reference 1960

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no resolver link, observed 2026-08-12T00:25:05.141173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.141173Z digest=sha256:270eef0e00e047cc899a9572b48f5e5a2b144f9d6ad755ff4465a023bcd658d1

Observation f900f299-3fe3-44cc-a90c-406f86c4b5ed · outbound

This paper cites Topological methods in cardinal utility theory.Mathematical Methods in the Social Sci- ences, page 16,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Topological methods in cardinal utility theory.Mathematical Methods in the Social Sci- ences, page 16,

Reference 1973

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.097978Z digest=sha256:6c72450ee9ffc8b819e695a7bc6879ab0357ef54ed775225beaa273026aa6f25

Observation 8b709b20-247f-44a9-85fc-58e88da3bdaa · outbound

This paper cites The capability approach in practice.Journal of political philosophy, 14(3),.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences The capability approach in practice.Journal of political philosophy, 14(3),

Reference 1980

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.220361Z digest=sha256:811a1fb834078de71bf9af80b7655beeb2a20eecaa22730088f43eb99bb44529

Observation f84dc49c-816b-44fe-a2fa-f0872a3c21ba · outbound

This paper cites A mathematical theory of saving.The economic journal, 38(152):543–559,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A mathematical theory of saving.The economic journal, 38(152):543–559,

Reference 1982

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raw_fallback, observed 2026-08-12T00:25:05.828855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.207362Z digest=sha256:5bc7bc9494ae40e7c1903b935fd53624d8cc5eda2c7a428a7287d01c8828e866

Observation eca8566c-cb63-47a8-b145-3b59d4b49ee1 · outbound

This paper cites Performative pre- diction.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Performative pre- diction

Reference 1996

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.867527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.190765Z digest=sha256:330db90c76895c34ef358282cb4d93f5a0bfb9fda4dcb88959b4eb2f9e89da26

Observation eb16a49e-9dac-43b8-a718-5bfd7a51bed6 · outbound

This paper cites Empowerment: A universal agent-centric measure of control.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Empowerment: A universal agent-centric measure of control

Reference 2002

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.022409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.132698Z digest=sha256:c7e256c5b436f1ccb40aaf4fe08c8b0a5f843ac63f1c76b4331dc91f7b5d7f3f

Observation 583f2391-25ca-4472-9ab7-556841816cb3 · outbound

This paper cites Stationary ordi- nal utility and impatience.Econometrica: Journal of the Econometric Society, pages 287–309,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Stationary ordi- nal utility and impatience.Econometrica: Journal of the Econometric Society, pages 287–309,

Reference 2005

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.009504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.136998Z digest=sha256:f6a8fd2581fb7ea0962d0cb898dc18f39ba97b1e8c848f67a2e83a71a9d3e6e1

Observation 740e78f8-16a4-4122-adef-1e53a32e3baf · outbound

This paper cites Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.Scientific Reports, 14(1):9153,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.Scientific Reports, 14(1):9153,

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.776280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.224242Z digest=sha256:291a096732d8696d348de0c9244036b9873951b57d48d0e504d9474a25b7885c

Observation 36c0270d-242f-4459-bf24-87feaa44839e · outbound

This paper cites Aristotelian social democracy.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Aristotelian social democracy

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.892822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.182495Z digest=sha256:9f9acdaec970db2a6e78c08859c2793354e94cb2011f3ab09c1e78dc47347d5f

Observation 4f82da6c-bc5b-44a7-8c30-5fb6d94f7365 · outbound

This paper cites Public Affairs,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Public Affairs,

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.125124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.074682Z digest=sha256:a23f271beae79d2037997c964fe5d846b1d5e1c7c59aa43fec6b7ff3cfb6c3ee

Observation 38280b97-76af-457b-97c5-03a3161dfe32 · outbound

This paper cites The concordia contest: Advanc- ing the cooperative intelligence of language agents.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences The concordia contest: Advanc- ing the cooperative intelligence of language agents

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.736349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.247423Z digest=sha256:52cfbe39fa09175db0e17ff71ec4d1d1c0302ab980337dae14ff46d28e1402ac

Observation 4b047abe-f5c1-4c01-95d9-9182844edad7 · outbound

This paper cites Is sora a world simulator? a comprehensive survey on general world mod- els and beyond.arXiv preprint arXiv:2405.03520,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Is sora a world simulator? a comprehensive survey on general world mod- els and beyond.arXiv preprint arXiv:2405.03520,

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:05.262247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.262247Z digest=sha256:9915e9dc4d4cef19df65699b354ac63135db3c7282f5cf9e3c6c56e39cc29ab2

Observation e6b05eb6-e036-499a-9c00-59b4c1c8a22c · outbound

This paper cites Unbiased Canonical Set-Valued Oracles Via Lattice Theory.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Unbiased Canonical Set-Valued Oracles Via Lattice Theory

Reference 2016

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:25:05.526946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.123784Z digest=sha256:5fc1d8e552f70befff1062b712b29d5065e225e422c4d6c2772052c63f02e585

Observation dc9f5355-eab2-43ed-9f39-7442ec27792d · outbound

This paper cites Development as freedom (1999).

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Development as freedom (1999)

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.749404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.242306Z digest=sha256:8530ad0134352e635b26e845973d9d0edf2b08c0cab6a6ca2e649d4e47bbbc42

Observation a28b90a0-bf37-4049-9b0e-e9980eee9edf · outbound

This paper cites Cooper- ative inverse reinforcement learning.Advances in neural information processing systems, 29,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Cooper- ative inverse reinforcement learning.Advances in neural information processing systems, 29,

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.047698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.119670Z digest=sha256:d38ca874720501e3327ea4f594b486327856cd817b166b92bc6ccc8bf222859b

Observation f604e882-b1d9-4274-8e9b-c0118af41701 · outbound

This paper cites Individual rights and social evalua- tion: a conceptual framework.Oxford Economic Papers, 48(2):194–212,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Individual rights and social evalua- tion: a conceptual framework.Oxford Economic Papers, 48(2):194–212,

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.880438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.186754Z digest=sha256:446c23111a726368b5fbcd3f270c6b3e4b00072b74d4f500ac274e551b84bb53

Observation 0d4d9984-2fb2-417f-bf63-6d59eef031ef · outbound

This paper cites A general theory of mea- surement applications to utility.Naval research logistics quarterly, 6(4):283–294,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A general theory of mea- surement applications to utility.Naval research logistics quarterly, 6(4):283–294,

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.854867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.194881Z digest=sha256:c2e3e80f3e483f92bc90e744e212afebe43817e0a925c828cd8b0b5ccb16806e

Observation 9fe25a89-c6e1-46da-9543-65156fa47dc2 · outbound

This paper cites Notes on the measurement of inequality.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Notes on the measurement of inequality

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.099083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.093267Z digest=sha256:6f73ecf35dae1e1dd722e0747f006d5d799a7f7010f5c399bcf00c2237a86d09

Observation 29cf92fd-8c4c-45b1-8fae-0649c8862b3a · outbound

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

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences A theory of appropriateness with applications to generative artificial intelligence

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:05.153556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.153556Z digest=sha256:1b5e2cbb4a2306ed2b8d670c7268e4bfff59023f13fce48316f94d8b142842e2

Observation de9150ea-7fff-4d46-89fe-0150df86af2e · outbound

This paper cites World Models.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences World Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:05.115121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.115121Z digest=sha256:9db2741b6eee7ff452a4a8007778d4ea4b38636332cf549ceffb274d6dd80940

Observation 083bc132-3d19-49c7-b0b8-0a19f6eafea0 · outbound

This paper cites Beneficent intelligence: a capability approach to modeling benefit, assistance, and associated moral failures through ai systems.Minds and Machines, 34(4):41,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Beneficent intelligence: a capability approach to modeling benefit, assistance, and associated moral failures through ai systems.Minds and Machines, 34(4):41,

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:05.970861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.157757Z digest=sha256:ab4bdc1226e9b9e574127c88196e38d5efe95fd8980049f332278f51e4a08a45

Observation 2a4ddd44-7221-4fc8-bef0-10618cf2a29f · outbound

This paper cites Safety from Honesty in a Disinterested AI Predictor.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Safety from Honesty in a Disinterested AI Predictor

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-12T00:25:05.084080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:25:05.084080Z digest=sha256:1310bc45ef80c7bb566e0a0ef2b8afc153eeccdc48aca9a6636f62b7999eb95d

Observation 30660cea-326f-4445-8211-7039de6249de · outbound

This paper cites Identifiability in inverse reinforcement learn- ing.Advances in Neural Information Processing Systems, 34:12362–12373,.

A Fair Objective for Human-Empowerment-Preserving AI: Desiderata, Design, and Likely Behavioral Consequences Identifiability in inverse reinforcement learn- ing.Advances in Neural Information Processing Systems, 34:12362–12373,

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:25:06.112144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:25:05.088837Z digest=sha256:16f56c954798e53f5af3c302b180196ecbc2a557d977d1287be3684e76bf85a6

Pith citing papers

No inbound Pith citation observations are available.