Paper Citation Record · LEDGER

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2502.05726.

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

pith.paper-citation-record.v1
2502.05726 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:17:14.804279Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:49:50.102398Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T16:49:41.120415Z

Reference resolution

64 of 64 outbound references displayed

verified exact3
verified fuzzy20
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab9fd342-5a4d-4966-9c26-350208d805c2 · outbound

This paper cites Agarwal, M.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Agarwal, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.573850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 124c97f9-a1e0-4ad6-b511-525f3c92ea41 · outbound

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

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Solving Rubik's Cube with a Robot Hand

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.580811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d19e7915-be84-4a08-9c18-000e963a07d9 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.562734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27e72858-55ee-47be-89c3-9c825ec367b8 · outbound

This paper cites Arthur, S.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Arthur, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.553709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18589fee-cc8b-4ea9-a328-38a314ca9332 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.544244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b4dc878-367e-410a-acbd-e2ac3a06e4b4 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.595853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be2b707-c404-46b6-ad37-37422b907a72 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.534722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84e61626-a4cf-4326-8115-eb22a9e193c8 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.524097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84440897-2ac8-4ca7-82e3-b5c44ef68eb2 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Dota 2 with Large Scale Deep Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.605777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f46db71-012b-4095-ade2-5ce10641a446 · outbound

This paper cites Beukman, S.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Beukman, S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.513351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a0ab12c-c788-4dd4-882b-a063c263067a · outbound

This paper cites Blei and M.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Blei and M

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.613424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc57f49-e7f3-4546-b8cf-a84a99f93fcf · outbound

This paper cites Blömer and K.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Blömer and K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.502376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91e405ea-c04b-4b0a-8411-950708cf0b3e · outbound

This paper cites Borchert.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Borchert

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.491349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd0dceed-8ef9-4372-88a3-8e1120756877 · outbound

This paper cites Bouveyron, S.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Bouveyron, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.480003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35edfc73-73e6-492f-b39c-0fa36441b4c4 · outbound

This paper cites Bozdogan.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Bozdogan

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.627988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c51254-a59e-42d0-87cd-cb0e19035d78 · outbound

This paper cites OpenAI Gym.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design OpenAI Gym

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.631585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bf12df-f126-40cf-8ced-159b74da7440 · outbound

This paper cites Genie: Generative Interactive Environments.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Genie: Generative Interactive Environments

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.635445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab6535c0-b328-494d-8ef6-bc821fbb7a94 · outbound

This paper cites Large-Scale Study of Curiosity-Driven Learning.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Large-Scale Study of Curiosity-Driven Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.639383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7cf212-afb5-4a54-84bd-a042c4075f4f · outbound

This paper cites Burda, H.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Burda, H

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.469276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 734c8811-00fc-40b2-9f03-b4be1aece8e2 · outbound

This paper cites Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.652499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5054e710-af8c-431a-9e77-12d6f6d328b9 · outbound

This paper cites Cobbe, O.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Cobbe, O

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.458603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d38217e9-2808-48e2-985a-e8c60fd0c17f · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.447372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ee7c3e4-c3b6-4d98-9772-c533050f30d7 · outbound

This paper cites Dennis, N.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Dennis, N

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.436845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2019e97-fa9c-4fba-8de3-784510bb3262 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.425444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c4abf08-963d-4436-8834-c4d1c4c6c813 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.668540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f9e8dc-2e8e-404d-b938-228b8dd6ea64 · outbound

This paper cites Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.671834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e85bdb49-c027-45c5-bbae-2b4fb760021c · outbound

This paper cites Jiang, M.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Jiang, M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.414839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e80694e6-d875-4008-aaec-ddeb33efbfe2 · outbound

This paper cites Jiang, E.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Jiang, E

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.403554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2008257-d353-4091-8c89-a9adc342d649 · outbound

This paper cites Auto-Encoding Variational Bayes.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Auto-Encoding Variational Bayes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.682396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4783a9-1d2d-4cb0-9827-9d00d3952c2a · outbound

This paper cites Lehman and K.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Lehman and K

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.392138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80a7f1ad-0b20-4456-9fe3-eda2a85ebde9 · outbound

This paper cites Lehman and K.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Lehman and K

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.688724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f18740e-b5a3-4be2-9957-9c9689679c30 · outbound

This paper cites Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.691856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c64ae00-253b-4d04-8f98-b2072ec1c5b1 · outbound

This paper cites Generalization through Diversity: Improving Unsupervised Environment Design.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Generalization through Diversity: Improving Unsupervised Environment Design

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.695717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf9d868-a142-49ee-8c0c-927d92fa3212 · outbound

This paper cites Stabilizing Unsupervised Environment Design with a Learned Adversary.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Stabilizing Unsupervised Environment Design with a Learned Adversary

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:17:30.098527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 625ae951-847b-4fb3-ab8a-62eab7ab782b · outbound

This paper cites PyTorch Adapt.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design PyTorch Adapt

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:17:30.079804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05bac4b6-5721-482e-9e0d-f4f173d49b3c · outbound

This paper cites Ostrovski, M.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Ostrovski, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.381783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c1dce7c-c97f-4f67-a1db-abda84a790f7 · outbound

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

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Evolving Curricula with Regret-Based Environment Design

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.711731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce85c762-f8ea-4a1c-b63a-374a1e0f24d4 · outbound

This paper cites Pathak, P.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Pathak, P

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.369940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd3a49b8-4433-4d89-a9ea-5f1f743ba4ea · outbound

This paper cites Pinto, J.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Pinto, J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.358029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31e278d8-59ff-4bef-b480-28d1be6ddcbc · outbound

This paper cites Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:17:30.047382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c358149-de69-4361-ab02-b9c3f858f6b6 · outbound

This paper cites Portelas, C.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Portelas, C

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.344767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0575754-f16b-47ea-81b1-231d8093ccbe · outbound

This paper cites Portelas, C.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Portelas, C

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.330749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cfb04f89-c530-4f9b-aef4-8e829a2b55ed · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.319058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6797e028-526f-493e-b3a1-4407c37342fb · outbound

This paper cites Variational Inference with Normalizing Flows.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Variational Inference with Normalizing Flows

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.737817Z

Source-reported events for the cited work

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Observation d89ccb55-f4c8-458e-a826-80829454be61 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.308140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a15355a-a7e1-49c6-8d2f-1ebd66ec219b · outbound

This paper cites Prioritized Experience Replay.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Prioritized Experience Replay

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.745458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe029dde-e110-473c-ab1b-8d2e21db6c7c · outbound

This paper cites Schmidhuber.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Schmidhuber

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.748891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075b827d-489b-49d5-8179-75ad9f343a86 · outbound

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

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.752132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f07ff5-e567-4f64-ad31-e70dd53a7a35 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Proximal Policy Optimization Algorithms

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.755487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5324d8c9-345e-4761-96a4-b5624365b4aa · outbound

This paper cites Singh, R.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Singh, R

Reference 50

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T18:17:29.979003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e96e5e5d-9369-4a09-8292-29769ef29989 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.296342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 275b5273-6ad7-49ed-9ce5-962814c79b20 · outbound

This paper cites Teoh Jing Xiang, W.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Teoh Jing Xiang, W

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.284224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45847e0e-88ce-4259-8ee5-ee783d53996d · outbound

This paper cites Tobin, R.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Tobin, R

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.769037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd4d480-acd3-4781-be15-ce18f3cc8c48 · outbound

This paper cites Van der Maaten and G.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Van der Maaten and G

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.772553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb681c8a-73da-43c8-a12a-a46eb5c6e190 · outbound

This paper cites Deep Gaussian Mixture Models.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Deep Gaussian Mixture Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.775660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5b05173-107f-48ce-b90e-c6711ab0d544 · outbound

This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.778823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f37e0c-ceab-4c86-9947-5d3a73831db4 · outbound

This paper cites an unresolved cited work.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.260585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 877b2013-ab97-4ef0-a278-6031539ffa64 · outbound

This paper cites Wattenberg, F.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Wattenberg, F

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.250501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c93e8ac9-9a88-4775-88cc-de57cc13401d · outbound

This paper cites The Role of Coverage in Online Reinforcement Learning.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design The Role of Coverage in Online Reinforcement Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.789543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae30b878-c8bc-4138-b0ac-cab83ecc35b5 · outbound

This paper cites OMNI: Open-endedness via Models of human Notions of Interestingness.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design OMNI: Open-endedness via Models of human Notions of Interestingness

Reference 60

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Observation 9db8f5c6-8a43-49d3-9c32-faa7ed06fcac · outbound

This paper cites Curiosity-Driven Experience Prioritization via Density Estimation.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Curiosity-Driven Experience Prioritization via Density Estimation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.796993Z

Source-reported events for the cited work

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Observation 1fc80e21-98c6-4913-a43d-7e7af8858c3c · outbound

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Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:17:30.240225Z

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Observation aff9285a-f657-421c-a389-1e15b4f646f1 · outbound

This paper cites curiosity.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design curiosity

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:17:30.229792Z

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Observation 58709f43-c2fa-4bb0-ae53-3a7d201a0ba8 · outbound

This paper cites Exploration by Random Network Distillation.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Exploration by Random Network Distillation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T18:17:14.647628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0c2d408c-21d5-471f-a558-cf7a308b3e62 · inbound

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning cites this paper.

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T16:49:41.293382Z

Source-reported events for the cited work

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Observation 76755303-a8f4-4c03-9562-bcd6fd5a439a · inbound

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning cites this paper.

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T00:49:50.102398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.