Pith. sign in

Paper Citation Record · LEDGER

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs

As of 11 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2607.08193.

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

pith.paper-citation-record.v1
2607.08193 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T11:34:42.414600Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

71 of 71 outbound references displayed

  • verified exact10
  • verified fuzzy51
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ed41211-a2d1-4445-a6b9-7ac47fe74dd1 · outbound

This paper cites Proceedings of the 38th International Conference on Neural Information Processing Systems , articleno =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 38th International Conference on Neural Information Processing Systems , articleno =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.730556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0c806a098646fa36a42661519a98221acc45decccf31940589d8c37d7bc39082

Observation 38d7b36e-48a8-4411-8723-09525ede8c2a · outbound

This paper cites Replay-Guided Adversarial Environment Design , url =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Replay-Guided Adversarial Environment Design , url =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.728636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9253ec5f2bbb9e744f5b79968a5fa65f6129c3a98d872f77c124b2bc21c7089e

Observation 1fb71fc3-e090-427d-be03-84b8eb51e2a2 · outbound

This paper cites OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code , volume =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code , volume =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.726896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:6ab460839d733e0aebb0080a381020190f99e7afca88cdb265d9e714ee5ac952

Observation 83b8b023-05e6-4822-8d5a-2953fd65b1ce · outbound

This paper cites Foundation Model Self-Play:.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Foundation Model Self-Play:

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.725160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8d58454e2b2bae42e22844d03c4d9386f21b9cb8ca78df59a7a3b56ebe4c5816

Observation 535ed39d-3a6b-4df5-b059-9af0e6d27cf1 · outbound

This paper cites Steven L.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Steven L

Reference 5

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.069882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:aa6fbc434ee23c715714d9a61e684b8569c0520a52e4b2d7e4d619b124a7463b

Observation 869012c4-c2df-47cf-bcb4-f7cf95af4d07 · outbound

This paper cites Enhanced.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Enhanced

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.723358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:93b6ebdcb931eec185ed68fc5942a1489f5bf177572e75e4c2c154f7bde51cbf

Observation d5af5788-4d02-44d5-b2bd-13574c5a912f · outbound

This paper cites A Definition of Continual Reinforcement Learning , volume =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs A Definition of Continual Reinforcement Learning , volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.721702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:618edf579da94ce8ae967c2b1771acf52607bc05ffe512fe2dc945bdddaf861f

Observation f51d9914-9de4-4be4-864f-53c3a95f074c · outbound

This paper cites Proceedings of The 2nd Conference on Lifelong Learning Agents , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of The 2nd Conference on Lifelong Learning Agents , pages =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.719813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0c75f80c469eab42de1e5264ca639ccf999c808fda4c22de95f0378433f1c67f

Observation 48b63e2e-9ec1-4c21-83f2-5f737644dc43 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.741382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:bf354c10de9b489a7e7176823a988dfbe0562a45c51d9d562ebf2e3373f40e8e

Observation c7e08f30-409b-4127-a6bb-c76ad727d410 · outbound

This paper cites Reinforcement Learning in Economics and Finance , year =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Reinforcement Learning in Economics and Finance , year =

Reference 10

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.039528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:eb0fbae82bb0374542a17d0e077b92940201816b91f9b6b61448e92ec3ee290d

Observation 612d66c2-4e8a-48ed-ab5f-e9068a4e7a82 · outbound

This paper cites an unresolved cited work.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-07-10T11:37:03.717925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:da89216a5507bba783b8e0d836c7f0e69c3dca5f1b5ea70c87ff586c19862e05

Observation 475af448-6ae4-4499-ad4c-a7c53fa50b7d · outbound

This paper cites Intrinsically-Motivated and Open-Ended Learning Workshop @NeurIPS2023 , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Intrinsically-Motivated and Open-Ended Learning Workshop @NeurIPS2023 , year=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.716067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b607d9205525112356c8caf4738de5fb507920630a15ca5e102d818880344de1

Observation a3f15df4-6c5c-4859-84b6-6dc575fae3ca · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.714252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0d9d9cfaefc8b12900bbe0d1f7eb4a3c555b99a3600a3802e48c4bc8b813ec34

Observation bc717b79-05d0-497b-8b0b-c823a321dee1 · outbound

This paper cites Reinforcementlearningbasedrecommendersystems: A survey.ACM Comput.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Reinforcementlearningbasedrecommendersystems: A survey.ACM Comput

Reference 14

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.032029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:5efc30396f8c3385d13b7fc3d2a9d0be4f4b9fe43e1d6f74c9480ae75f98a42b

Observation ac360cac-1065-4813-95ec-03a0e6efc859 · outbound

This paper cites Sutton, R.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Sutton, R

Reference 15

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.037889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:eec50374a841944611a3592ab516060f9f7664b0080a84a50897d7f89bacbfe0

Observation 755241cc-a810-407a-90f1-7b9336502607 · outbound

This paper cites an unresolved cited work.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-07-10T11:37:03.712614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:dfca1ce08293af9dd522ed83b2e502141bef07a88381371af4b0a9b46ca9dcdd

Observation 37fe4c58-aff3-4cc1-a223-d5b95eafa3af · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.710910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:7f287a4cf17c8884bdc9762920b4da8b19de0727c92623773b9f4550b4198db7

Observation d78938d1-1177-47f6-846a-e989cc9e0285 · outbound

This paper cites doi:10.1145/3744746.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs doi:10.1145/3744746

Reference 18

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.035130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:bbb617e9e4cb2c7d65c5db87b3b59cbac9ea4fce537b79a30b1e0a305c69a442

Observation 64d6e7c1-26b5-4a6e-9ce4-af4b6e6a17e0 · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.709051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:bb64f9b82aa832dbb372c48346c16ac46d353a1ef088e2b70c1acedcd375b66c

Observation d0710037-78a2-4033-9b12-85141e5a5b29 · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.707028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a9cf9b345822962b18df29ec8c53f415b65fd89690e73b5d2485a50a52ff4d23

Observation 12da98eb-a856-4401-80f5-7e925a0446b7 · outbound

This paper cites Large Language Model Guided Reinforcement Learning Based Six-Degree-of-Freedom Flight Control , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Large Language Model Guided Reinforcement Learning Based Six-Degree-of-Freedom Flight Control , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.705102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:172a5e181eadba07510d1a55aac00e416d8cf9b5c9b50de12e76b5331ff0cbaa

Observation 4a5f5ff6-b200-40c7-bdca-ee114244fc08 · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.703298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:84dc84a6761ab767b5d3ea0d218b6d8de553ce8395dcaf95670a71d268e6b2ce

Observation 290bf5f0-8443-458c-8c6a-239ba2b1fcce · outbound

This paper cites Sutton, Andrew Barto.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Sutton, Andrew Barto

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.732335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:431ba61830fa0cb96e25ee2415f1eed32bb74b5cf597b8a5dbb0288e28583164

Observation dc68b28b-0cbf-4302-a371-cf41a37d3ba4 · outbound

This paper cites Scott Fujimoto, Herke van Hoof, and David Meger.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Scott Fujimoto, Herke van Hoof, and David Meger

Reference 24

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.048166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:f9252cee0ec424131d3a961f0ee2acd64ffb74366cc4118ea48bd054233334aa

Observation ec4e4987-1554-407c-83a9-9551853baaf1 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.701364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e9486370cc597e2885cb752b31c701427a2c3eea6b30ccaf01530d2f6bdc8925

Observation 40f59e7d-639c-4eb5-9ba3-5fa7b0ab6c41 · outbound

This paper cites 2020 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2020 , eprint=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.699233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fcba6700fe743b863cf6ed5fb5cbb32e59e668e4336acf941a21c47701517186

Observation 29bb689b-809e-448d-8c53-045608689d3c · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.734279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:40cfe6c450c992c2172d59632cb6da1b72829733307d7ed6b71e99bc9cc13db3

Observation e0ee438f-d148-4088-8c72-5d3c994519b6 · outbound

This paper cites Au- tomatic curriculum learning for deep rl: A short survey.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Au- tomatic curriculum learning for deep rl: A short survey

Reference 28

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.055084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8b5beb4a8665bcf2effeeff59d76ea47450fc5438c255ab9ad31751beb7c0c47

Observation e81cdd24-bff2-4140-8aba-8918351a4e96 · outbound

This paper cites Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design , url =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design , url =

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.697300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:3450cb036ed45c44bc590653687fb34d2a5e21ebe8e9632ffdece0b492c89cb2

Observation 5cf10e8b-6f12-4983-92f3-eb2649568800 · outbound

This paper cites and Stanley, Kenneth O.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs and Stanley, Kenneth O

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-10T11:37:03.042397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c1c7a61318d5ba7de5452757b99d64d1c404e7fb474db2a14c2960541a328130

Observation c037a9ca-e9fb-40cb-b415-d850aa68ae8b · outbound

This paper cites booktitle =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs booktitle =

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-10T11:37:03.045815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a5b1551f3875b49d2b51ff8cd1b0b4b917698a51f7cb76fd57411b42483bd81d

Observation ca32ab42-047b-44de-b7e6-6f1864006f73 · outbound

This paper cites Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods.IEEE Transactions on Neural Networks and Learning Systems, 36(6):9737–9757, June 2025.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods.IEEE Transactions on Neural Networks and Learning Systems, 36(6):9737–9757, June 2025

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-10T11:37:03.067457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0060c6d1aec86a2fbdf10802291ac2b75e23809f33888961556fef3bb0edb877

Observation 48356259-5b0c-4230-ab84-1e2c686b1fe0 · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.695577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:f241fa90f1e64ae1c9987899e315ce56b29617100257814b4e487dcf29d10815

Observation cbad4655-809a-4d2e-bec9-5034fd71ccde · outbound

This paper cites Chawla, Olaf Wiest, and Xiangliang Zhang.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Chawla, Olaf Wiest, and Xiangliang Zhang

Reference 34

Resolution
metadata mismatch
doi, observed 2026-07-10T11:37:03.072241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:930f77b342d868f3bef9b6c5b4869420b025b9256346645a8f732f869984cb21

Observation 708c0459-f7b5-4cf2-9b2d-3a3ee71b118d · outbound

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

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs OMNI: Open-endedness via Models of human Notions of Interestingness , volume =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.693857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a98275f584c6fcb22436e6a1f59baad60dba04d99adc03e864127efb54ad142f

Observation 368cbc2c-e2aa-47d2-9774-517f81f29c40 · outbound

This paper cites Evolving Complex Environments in Evolution Gym using Large Language Models , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Evolving Complex Environments in Evolution Gym using Large Language Models , year=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.691965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2146b2109a431187e1eed91332fa48b893cbfc742dce7f937bb7c2a06fd38b6d

Observation d5b76d45-cccc-4aa8-a68e-814379a04dfd · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.736188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:aae31d0e9886301bb691f990e295f438cbe6e91330651ef0c7fe7bd07f227588

Observation 37031805-ebc8-42c9-94d2-8ba5968aadcd · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.690215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:92c36a34cb214e1c196b6cae2dc9697a630d18823673c90a934d9de3f7161806

Observation 23d88419-7f35-482e-851a-005beb808320 · outbound

This paper cites Journal of Machine Learning Research , year =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Journal of Machine Learning Research , year =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.744519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8ec377dc72ce0bc6d9ae17d814c56a992ca8528c5c2f7281c8105880bf57d940

Observation c1179cc7-9682-4acb-a7c2-a0f40d027e2d · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.688564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:aed1e636e301c332a58addbfc0cf9389e1b7a2ff1b05dc73e0851b264594f5ef

Observation cac27c09-1137-40e1-a68e-d8fb9b3ba8b6 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.737844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:78f62080a44ef94b6432d93541569c6653eb1126953bc85ebaadd9ca86918286

Observation 47ff294a-4454-4cc0-9019-1091254140cc · outbound

This paper cites Learning Curricula in Open-Ended Worlds.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Learning Curricula in Open-Ended Worlds

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.028132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:f1620d05a62aaf26ec252bba4e228a4a0e33723eedec30a5ae36ce3e2881b1f3

Observation 185a7c15-509d-490a-8fd4-2d70fabaac9b · outbound

This paper cites 2019 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2019 , eprint=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.686766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2a56098052ff7eeb6946936b11249dbf15203a3e49ebb3fae941c77b9a4079c2

Observation 17857575-3588-40d8-9382-564db299f29d · outbound

This paper cites 2017 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2017 , eprint=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.684939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c17c9e043d0789ef9b475a0b930705b6425854e0022705c4ccd01a8bb879d8e4

Observation c7f32856-1a96-4e5c-96be-d51eb39994fb · outbound

This paper cites The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.683339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:65cd4bbc73d193ac7d91aca0e3f77c4163128f846dbbea6c69bea26f92c591bf

Observation 67b9024f-59c9-4507-9328-cfc8564a9626 · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games , volume =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games , volume =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.681585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:353869192c547489997a8492555dd8f699ed538cf70f6e7ceab8f92c06c75988

Observation 80d9be10-edb1-4854-b24a-d3ec491cfd54 · outbound

This paper cites , title =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs , title =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.742893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:45618f5fd905d8d6cb95e390934d031814bb4c2744d470486770e5d40e8f8095

Observation c3b6453b-8b44-435d-a1f6-5490d06cd55f · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.679848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b5fa79e3ea876b46176e3f0526ad6a2366b72fee20df8a75ffac71200045a82e

Observation aa841e62-6a39-4749-a3cd-032261ebff82 · outbound

This paper cites 2023 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2023 , eprint=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.677853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:17996723de845080d3cca3e76818bd96caf0dace3ce1a609988f35e96a9bddb5

Observation 7ed7d6ae-58b6-4ff9-8eb6-14b6ea77e090 · outbound

This paper cites Adaptive Agents and Multi-Agent Systems , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Adaptive Agents and Multi-Agent Systems , year=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.676132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:41e9d78c3324673aa3212d673e740506d9a0a2298b3b50f5b23cf870e452df98

Observation 1518e8e3-d150-48de-8f21-b27309d2edf9 · outbound

This paper cites Nature Machine Intelligence , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Nature Machine Intelligence , year=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.739638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:10debfbedfc5969406ece334af531ead6eb4780e7198f27e4f453aee34bde32f

Observation f15ba412-0814-4b69-96a8-9a72092d2358 · outbound

This paper cites an unresolved cited work.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Unresolved cited work

Reference 52

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.049400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:ecb952c6e3900381a0d86428138120a1bb2c213c674cfaabe2fd5c14039d0944

Observation ce7826be-4a95-4d8f-aaa6-f11f7d4a21ad · outbound

This paper cites Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense

Reference 53

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.060891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a0d02c8e9de59be8a822a11995263a61b4f88a9f70ba0e3ec05500319541b3e0

Observation a015970e-ca78-408d-92f2-389cc034d6e3 · outbound

This paper cites ArXiv , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs ArXiv , year=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.674457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a1954f6b2180cf02a2b4512823829dbc127f9fae7e90d46b3e43a82f5f9fb40e

Observation 5b8eb45e-31c4-407b-aff8-2129676e9253 · outbound

This paper cites Attention is All you Need , url =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Attention is All you Need , url =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.672628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:373483d72f84485ed29fc3b7368dc83bbd2331083cfe633ec3f1b2867da42c18

Observation 1b3fb134-b1a1-490f-90d8-e0d8696d9016 · outbound

This paper cites 2023 IEEE High Performance Extreme Computing Conference (HPEC) , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2023 IEEE High Performance Extreme Computing Conference (HPEC) , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.670731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b539d8439c0f731c2ff769467a1d4804aceea6cb4a991c498a7f87a54b5839d4

Observation c09a34c6-c787-4d1f-9934-1384eeb8ecab · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.747785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:039644a5a98a36071a38d515d42e6754bcdcfbc57a8a8bd9c6ed274cfc13f859

Observation 0cc71bc4-1b2e-451e-850e-a84d0d60c4d9 · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.668913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fe08471e04f8b8f211c0e72cbd447f96b7ac726467e6d77f412069eae73b00d4

Observation 52b940dc-b7bb-4820-898c-5892b456d517 · outbound

This paper cites Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task , isbn =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task , isbn =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.746181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:7b76c21eaef886008331660f51a750499899ac9e0ee74fd04da35a76fe074fad

Observation 50e2e7d5-2b34-442a-bc02-99be5c20b2b3 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.667231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:84bfa36b3c91f11ebc647b6fb074b7f8a7cd3784fd00aeceac1566d6856e6949

Observation f5393a07-86cd-43d5-a8d3-6ce387c289b6 · outbound

This paper cites an unresolved cited work.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-07-10T11:37:03.665637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:cbff1fc14c3fd6a56d4bcbc4e59ce9d7d12b7e803bbb9cd09006f747cd0425c8

Observation f5c90a6e-4815-43e9-ab02-cbfd76235797 · outbound

This paper cites 2024 , eprint=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2024 , eprint=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.663941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:f57acdaf9a202658781e3deaf4f6c22499c6ca44427123e66566e0f5b3ca3514

Observation 7028abb4-314a-426d-b1a3-1d82831f1ca2 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs The Eleventh International Conference on Learning Representations , year=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.662268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:6e7d37b4250691c9097fb39c394a96e1fa6a1a08c19732cc4ff4a71293289409

Observation 2b45c3d3-3617-4f1b-9538-766f25901e3f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 64

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.025120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:005aef797c6c46982310a85551a518d4d21a642d8a21311799d41ce69261f853

Observation b5200b0e-67e5-467e-bf8f-7989beacdd56 · outbound

This paper cites 2021 , howpublished =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2021 , howpublished =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.660401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:08fc60281af7f57f839a1147987ff496e02194101f4f3967897bfcfae606161c

Observation 8debea60-847b-42c5-bb3b-7bc8e8cd6bf2 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 66

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.052755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a21924b798513644b2edfb6f068c92389793e7c45e0541dc5bbca12137541b94

Observation f51814f5-42cd-4819-9d62-62509e1f378d · outbound

This paper cites The Revolution of Mul- timodal Large Language Models: A Survey.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs The Revolution of Mul- timodal Large Language Models: A Survey

Reference 67

Resolution
verified exact
doi, observed 2026-07-10T11:37:03.059153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b20fd83c27d6b0e43bb4588930df409dab63bf14137d38b2b892cf7f348e84ed

Observation 7ef3c9b8-cc19-4aba-aef6-ef0721ae6006 · outbound

This paper cites Language Models are Few-Shot Learners , url =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Language Models are Few-Shot Learners , url =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.658623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2a9c1a9ff709a1af7e1a25c2b79fae756d2823042822ca40e2ece449ce0ceaf0

Observation a751f2e8-65d2-40ef-be2c-1333db629bf0 · outbound

This paper cites Scaling Learning Algorithms Towards.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs Scaling Learning Algorithms Towards

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.656928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:aa3d815f12eadec8d854257596b70a108144b72112eb5f995c9c7a6b984cac50

Observation 5ee2059b-f1e8-4ff3-ba5b-837706e34926 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs and Osindero, Simon and Teh, Yee Whye , journal =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.749389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:39d823bdab5f29e3739b9e75287410b00b0bde369029362b4b78740626884511

Observation b0c8e2be-f31c-49b1-bb74-6cafe49b2a06 · outbound

This paper cites 2016 , publisher=.

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs 2016 , publisher=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:37:03.655178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0509d67e2148b63955395f1d0495df6caf2f04fd79c0004088dfa73ba78633ec

Pith citing papers

No inbound Pith citation observations are available.