Paper Citation Record · LEDGER

Mitigating Goal Misgeneralization via Minimax Regret

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.03068.

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

pith.paper-citation-record.v1
2507.03068 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:27:17.314011Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

43 of 43 outbound references displayed

verified exact1
verified fuzzy32
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c5e9aa3-8975-4a9c-aa38-53b02645ad48 · outbound

This paper cites A simple environment for showing mesa misalignment.

Mitigating Goal Misgeneralization via Minimax Regret A simple environment for showing mesa misalignment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.146513Z

Source-reported events for the cited work

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Observation ae9d9081-05e5-45d9-a367-052492924efd · outbound

This paper cites Foerster.

Mitigating Goal Misgeneralization via Minimax Regret Foerster

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.131884Z

Source-reported events for the cited work

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Observation 392fc6b2-0233-4031-a1be-78b04425b299 · outbound

This paper cites JAX: composable transformations of Python + NumPy programs, 2018.

Mitigating Goal Misgeneralization via Minimax Regret JAX: composable transformations of Python + NumPy programs, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.117890Z

Source-reported events for the cited work

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Observation 7d02b7f8-3840-4c15-b8e3-0143e1c0ad72 · outbound

This paper cites an unresolved cited work.

Mitigating Goal Misgeneralization via Minimax Regret Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:27:18.100899Z

Source-reported events for the cited work

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Observation d5348070-d25d-4dfa-b3dd-81dabaa35b10 · outbound

This paper cites Techniques for optimizing worst-case performance.

Mitigating Goal Misgeneralization via Minimax Regret Techniques for optimizing worst-case performance

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.083878Z

Source-reported events for the cited work

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Observation ced89587-d614-4c3b-b16e-c83b1cf3ca75 · outbound

This paper cites Quantifying generalization in reinforcement learning.

Mitigating Goal Misgeneralization via Minimax Regret Quantifying generalization in reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.068706Z

Source-reported events for the cited work

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Observation 489e7187-c700-4de6-bab2-adc6ce09200e · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

Mitigating Goal Misgeneralization via Minimax Regret Leveraging procedural generation to benchmark reinforcement learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.052886Z

Source-reported events for the cited work

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Observation 1295f80c-b5bf-4c57-adf2-fa292fa3b3f8 · outbound

This paper cites Russell, Andrew Critch, and Sergey Levine.

Mitigating Goal Misgeneralization via Minimax Regret Russell, Andrew Critch, and Sergey Levine

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.036711Z

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Observation 8a2d1989-dabd-4cf5-af10-5a63c3013f7d · outbound

This paper cites IMPALA : Scalable distributed deep- RL with importance weighted actor-learner architectures.

Mitigating Goal Misgeneralization via Minimax Regret IMPALA : Scalable distributed deep- RL with importance weighted actor-learner architectures

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.020421Z

Source-reported events for the cited work

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Observation 6a485573-2783-4884-811a-281d3a895edb · outbound

This paper cites Wichmann.

Mitigating Goal Misgeneralization via Minimax Regret Wichmann

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:18.003171Z

Source-reported events for the cited work

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Observation ed020618-ae60-402f-b500-68c1cf58e67b · outbound

This paper cites Recurrent world models facilitate policy evolution.

Mitigating Goal Misgeneralization via Minimax Regret Recurrent world models facilitate policy evolution

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.985706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b720f29d-d32e-4e3c-bdb2-f2d29a272610 · outbound

This paper cites Russell, and Anca Dragan.

Mitigating Goal Misgeneralization via Minimax Regret Russell, and Anca Dragan

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.957840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e57cad4d-3df2-46c8-8d15-e0604e5be394 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

Mitigating Goal Misgeneralization via Minimax Regret Dream to control: Learning behaviors by latent imagination

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.934390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9aa0058-49ce-4e48-a06e-340e3e3438d2 · outbound

This paper cites Mastering diverse control tasks through world models.

Mitigating Goal Misgeneralization via Minimax Regret Mastering diverse control tasks through world models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.918960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67f86d99-5c2e-4b9b-b753-9eb4e2a7fb8d · outbound

This paper cites Towards an empirical investigation of inner alignment.

Mitigating Goal Misgeneralization via Minimax Regret Towards an empirical investigation of inner alignment

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.900729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ca15f77-ab8f-4340-be67-11ce4dd1207f · outbound

This paper cites Foerster, Edward Grefenstette, and Tim Rockt\" a schel.

Mitigating Goal Misgeneralization via Minimax Regret Foerster, Edward Grefenstette, and Tim Rockt\" a schel

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.882434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f460851-239a-45ca-8c3c-bc03249a1f7e · outbound

This paper cites Prioritized level replay.

Mitigating Goal Misgeneralization via Minimax Regret Prioritized level replay

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.863103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6366e52c-95ed-4dd7-9dbd-97804f00f2f4 · outbound

This paper cites A survey of zero-shot generalisation in deep reinforcement learning.

Mitigating Goal Misgeneralization via Minimax Regret A survey of zero-shot generalisation in deep reinforcement learning

Reference 18

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Source-reported events for the cited work

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Observation c42c1d75-433a-4f0d-8008-4d1cc297c9ca · outbound

This paper cites RMA : Rapid motor adaptation for legged robots.

Mitigating Goal Misgeneralization via Minimax Regret RMA : Rapid motor adaptation for legged robots

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.834352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5d0c10b-b9ef-402e-a65e-132cc0bec9ca · outbound

This paper cites Sharkey, Jacob Pfau, and David Krueger.

Mitigating Goal Misgeneralization via Minimax Regret Sharkey, Jacob Pfau, and David Krueger

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.816978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fbe9e9bc-eac9-43ad-b265-605393edfd03 · outbound

This paper cites Liu, Behzad Haghgoo, Annie S.

Mitigating Goal Misgeneralization via Minimax Regret Liu, Behzad Haghgoo, Annie S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.797232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5754977-483e-4aaf-a8d5-278e88b255df · outbound

This paper cites DrEureka: language model guided sim-to-real transfer.

Mitigating Goal Misgeneralization via Minimax Regret DrEureka: language model guided sim-to-real transfer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.777439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5033d175-c8c1-49fb-9978-10e4cb601e7e · outbound

This paper cites Isaac gym: High performance GPU based physics simulation for robot learning.

Mitigating Goal Misgeneralization via Minimax Regret Isaac gym: High performance GPU based physics simulation for robot learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.762487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff4e2382-3b34-404d-b548-139318cfae09 · outbound

This paper cites Foerster.

Mitigating Goal Misgeneralization via Minimax Regret Foerster

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.747484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0d5c9fd-9076-456d-b0f6-77cb5f1f51ab · outbound

This paper cites Robot learning from randomized simulations: A review.

Mitigating Goal Misgeneralization via Minimax Regret Robot learning from randomized simulations: A review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.732964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce2b43a3-35f6-415f-bd62-0508f759b8d9 · outbound

This paper cites The alignment problem from a deep learning perspective.

Mitigating Goal Misgeneralization via Minimax Regret The alignment problem from a deep learning perspective

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.716476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 803b8f12-2443-4786-ad95-a7fdc62338b6 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

Mitigating Goal Misgeneralization via Minimax Regret Solving Rubik's Cube with a Robot Hand

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6a6b16-6bb8-4077-bdcf-f306787a0b71 · outbound

This paper cites Evolving Curricula with Regret-Based Environment Design.

Mitigating Goal Misgeneralization via Minimax Regret Evolving Curricula with Regret-Based Environment Design

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:17.230526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eebb96e-7e39-46bb-80d6-036bc92aed2a · outbound

This paper cites Sim-to-real transfer of robotic control with dynamics randomization.

Mitigating Goal Misgeneralization via Minimax Regret Sim-to-real transfer of robotic control with dynamics randomization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.691185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64cd1e51-9f36-4f4d-92fe-083e554b546a · outbound

This paper cites No regrets: Investigating and improving regret approximations for curriculum discovery.

Mitigating Goal Misgeneralization via Minimax Regret No regrets: Investigating and improving regret approximations for curriculum discovery

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.671584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 603ddbb2-8363-4472-825d-c0ecb9ffee74 · outbound

This paper cites an unresolved cited work.

Mitigating Goal Misgeneralization via Minimax Regret Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:27:17.654276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 208cf76e-b46b-4098-a7f7-07cfde7403db · outbound

This paper cites Mastering Atari, Go, chess and shogi by planning with a learned model.

Mitigating Goal Misgeneralization via Minimax Regret Mastering Atari, Go, chess and shogi by planning with a learned model

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.637445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2a763a1-b8fe-433a-9674-33a9a7608ce3 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Mitigating Goal Misgeneralization via Minimax Regret High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:17.257646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a300134-3136-4500-a7f8-769628c09c6a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Mitigating Goal Misgeneralization via Minimax Regret Proximal Policy Optimization Algorithms

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:17.263987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89b77a1-e7f6-46bb-81c3-f37439138105 · outbound

This paper cites Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals.

Mitigating Goal Misgeneralization via Minimax Regret Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:17.268826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d7baa5-3f42-485b-96eb-ba68a92bca12 · outbound

This paper cites Addressing goal misgeneralization with natural language interfaces.

Mitigating Goal Misgeneralization via Minimax Regret Addressing goal misgeneralization with natural language interfaces

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.620046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44f3a071-e9db-4215-9f9f-8e936579e7d9 · outbound

This paper cites an unresolved cited work.

Mitigating Goal Misgeneralization via Minimax Regret Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:27:17.593711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66efe68e-1882-451f-bce3-752ba78d3f53 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Mitigating Goal Misgeneralization via Minimax Regret Domain randomization for transferring deep neural networks from simulation to the real world

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.572789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6e9d5ee-9e6c-4356-99f5-46f0e8a1e653 · outbound

This paper cites Getting By Goal Misgeneralization With a Little Help From a Mentor.

Mitigating Goal Misgeneralization via Minimax Regret Getting By Goal Misgeneralization With a Little Help From a Mentor

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:27:17.389242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b904fbf-57f6-4c62-8dbd-c5af57d8c477 · outbound

This paper cites Diffusion models are real-time game engines.

Mitigating Goal Misgeneralization via Minimax Regret Diffusion models are real-time game engines

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.555701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ccb9edc-595e-4760-bcf0-b88be9f14093 · outbound

This paper cites On the Foundation of Distributionally Robust Reinforcement Learning.

Mitigating Goal Misgeneralization via Minimax Regret On the Foundation of Distributionally Robust Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:27:17.303633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732ca401-2b25-41bf-ab90-a7b570976a40 · outbound

This paper cites Sohoni, Hongyang R.

Mitigating Goal Misgeneralization via Minimax Regret Sohoni, Hongyang R

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.534368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19bb1a2e-75f6-4205-a684-b648921899fa · outbound

This paper cites Consequences of misaligned AI.

Mitigating Goal Misgeneralization via Minimax Regret Consequences of misaligned AI

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:27:17.506689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.