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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 2026-08-10T06:31:04.303077+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:bdd86434babc9e14f22f541a7999163d9968446b47578b1458e4ac411c60398b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:586f47d49776e149c094d2f965f2ae28d3e50fd9bd0c832c9703e24a737ef1d2

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:078d4614229664ede3f190388d811e8947b51898ec2cc28056aa8c507326e4c0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0569d1aff3a98e6773123b992ff78e50b1c0f8a4c6319dd36ca3fe9893889ec6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:bcf6868e4684fb9a4cefa4ac2d01c21a8c56bbf3bde239de9dfcfd203a63f91f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:7142b9cde9b3dcd10c27592c8794f3e443a57cdefbfa1411a87da47f301cd0dc

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:409d6b02ab83acc01c484dbcaade718f018e040cbd00b4a236f702cb5221cef8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d460b5ee7bb6612f687efc5d5b6ab97e28e3e2ee6b4b1b18ba364cb693f77864

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:6139eb37e71db3742f48e907d7cd445f76a8f057e016f3f6108cdd15852c00aa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:226542cd2d84e05a965b79de82a3808173a47a0955cd4fd63989a99428d0b01b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e780bc3585a1323bc712d94c188cb28a691162329fa1d017fecca0dace1420e9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:86804ea5412ff9950cd92a64fda806546b8ec8d1171ac6118239f5d62dcfb3e5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:23a1e9e490408f83eeb94e99c43e3f08d10222d3288a24fc5ea21dffd46382a3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9d11c93e80b3dd32f82c22d45a6d810b868fe44c88f6412b339573e3c16b33c3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:7ffbb23cfc0d75cefa5c1be7f019d0c03d0f7ba621899ba31c73b8eb92eaaafa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8a652c938ee7b44a8019987e0ec6e56d4794a5d9ed047f146d170f1e92997d98

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9812fda515247a5d6f98f6eb748ad0ae732507a707aac6a37607ee645742e0d3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e690894a43dd5d3a3948c2ab21ea8a791737da160829b6b66a92ab216300ae66

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e6d5627abc572b74f462be30e149ba711c9766dc8ed93c9ead5d2fdd3046392d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fb35e5e2fd1b79e823aee8dffbb9eaf68d5934cc53e35a99934da8b6776d7875

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:61d094de2a5517dea378646df43726cde6f1f105eba239e2be0617b317c4045b

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:cc9c136934c5d6a8718d76554ac3e836339b6eec6ecb8c13b5be2f935188ce0d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:3e56a43732cc991d1af7cf934b36252602a899592a072597f64309afe882bd70

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b2979140c0fda75e047792319380e656c8b5c02aafc420e7d6a71ddff41a159a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:298fa9cff53c5858b7be87217159e7a01252087873de90aa96d6f43933b75977

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b90c43b618b94fc9cc011a5e5a1bfaceaa8ec845162194f37b3632e36904e89c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a893b0c7070a8b74d71038d8f9b82e001474e92e63f295be2c8f6dd79ba868bc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:436b4a41a7fe28d777546dd843f44ec6f82dd9c596b632dc3713183d881e5f58

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fa0d5313d77dac6e0929fb595b2f5e0fae598402458f05cae4237e3aa5c83a30

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:267ebe40a32bb406c66eaade48f32873c333e3127095868b4ff0efce7f986fcb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:1614a467be24990a09bed72323716aa1162b99d1c0cb2554f95321795cfb2215

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9e8993885ad95206b4d749189b32d631a5b9bde780359888d77ae07d164afe4d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:881e1ab7138cc1ce7cbc323bfdefb10415d7614910142af3f40a70ead6dc23f8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:70035382009b76203c8c1affd830f683dd24302095e51f46194e3a2c25826967

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0040eac77e4440ae5c3ba902099bc80a2cdc54aa987ff9613c2965788d5090cb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0c74f371a9244607183b6017153d193f010fbf2ba3f69ed102a23fb898c530c2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:3dae4edc8675fa02aec6792f4dcc90b9354a2da87f438d369904b066df135c49

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e45a7505bca99506a9e1176678b41e18c1b71b978266c2ed6d554fe30576758a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:ae581abd932d885170db92f9cb1185a591c390289fe6d0582108577a1cff6c35

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9fc88c6af2c7680026b4e6ce0c188960a05a40895e20e24795c3b5fdc4d8f2a0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:05111dfd21b20ddd3677394eaf7d64a844be2f2eda84d9cf11e4df3821a73ec5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2bf347173af3b826842e122be5967f2de9308abd5e2c243a03f408f317029acd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b3e49f298d3b2c6a5fef8d90081f5bdb26b6a7ec08164e3ece841ba0ea6cfaaa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:eea685f28872e376ea08b146ea8bdc4b3cfc785d2e82c41e3fbc9742db9ec625

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:495ee54bc5f79123c715fa458bd99439c3ea44f5391ced6c5a6a00253d9de4e1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:64886d8fb2a29410a4b9c6b3aa240aac373eefd2014d1b98d550e65b8b85a6a0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:14531528544f3a82823050a266a6fdf349e9f0da22a597087e9ee817c001414d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:078259daf5be048044596fa34ef56f411ddb9ef2d7d95769af5464f62733f1c8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a6b8f07b3945f4f2b118100a73ef1efe30b2c57e8d941b008e7910a218a6e392

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0b597d765fb6b87498aea4868db00596814cc61c21e89a64ac8ddf5422f81eeb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9184a899b7ae3453d6d08d8768cf5d967060d965255bdde53d9f32442f49e3d1

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 2026-08-11T00:38:10.961216+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0816ecbd2043128a5bbb1f0b3f308e01e84f0c9d3d1bcd91a45653affedde51b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:66630684f907fff31ed73b17bba8b37168cc2ec3acc462e3c144511935827c81

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:99a0205fff5b13572071d54370e5d788fd03ffe8c8e0bd4d2f6efdeb08d5060e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c7c33dcf60fbc8266e0600a22cb0f2cd3b850c2291f4d73a144a99d64d843e95

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:825e10f9d367aa09b8c1335c88e6c9009873d2560051d682ea914e5608901aaa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:1964a4ef99d91651e2c8bd61fe9cf2f5cbb0dffd0bd1a49dc18054fb344e4222

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:260a8a669dbe4c9ec6915e32c3ae6138bde5c6bb271fcc6f59abb9708a458dcd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c135601402668a7badfc23a15efad6781df192fc198e8c486b0fe316da08b715

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:29c79c55b005f06c966730824734703079588cdd27b5910ae128976effd68dd7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:41668320cc29fb3e46004714f32ff7424e783bd2e121d2c794586ddbb7a392d6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:b1c5f544a1854d7bd4121bec728e58f2b629bfc6bee0a26ff6c0283420e526ad

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:47a98d08744a1eddb502bd3db6c21f4545112b74315e3cc4846323f5873937fc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:555ae67ea0dc9fdeba11cb83650cda5f6ac4324844acb2446815bf5499ff16e3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:94b6054e303928e1bf63c7229e7767622706410df93fcc5ffa81513931992a8c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d69891d76aa748854efa97d3bc76e46166f086697678752174de86270ab6892a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:03d7e11dc7020f642df4c5d34eb65aa1a5f884dd86a2a3d27b4054bae334dfe3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fd24c5b125f9a32815fa886d31f950e568a91e409a277c492bc13f6cc4f949cd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:df391033d5a6784aac6ddbe107090b84231a0a1aaeb894fb777e955e511cf529

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:42fa4c8dd9ce1b351e80276bc744da6db4e9c8cfc476bbe5db2508cd0061cb97

Pith citing papers

No inbound Pith citation observations are available.