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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8166ea5b83b051ec73ba0e9d9b5f23a0f21fc54846179a4211b4a87b5a001fb6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:abc4e5b563168157905f69be6b3659f4a582c4869847c1034d48a8219621b03f

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 2026-08-22T06:32:14.747728+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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:5e2b04bcdbde611ddcbf67e95dd4dbec075ed66af9f723ae9a6bc7e903217b61

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e85c997da32df1da4df81906db150dae9c72ab06cb586210f3777ab774b707a3

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e331c13f73364367acacf1df9d2e0923c4cb098c07e59ef5876a1710a79ec1ab

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:1679b9eb1ffbed48e32a435caf15ad2c1a3c2b15373a169c64d32ccdb1bc66a2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:935c05f5d921ee25dedee3e8bb951dac1ade8a79e64e392b23dd640134224246

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:591f2928ffecc918a22c5f5c542ebfda6ff4478787e6e6699f3a4b500c971dc4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:65afbc4066c83e38a1136f995e699a03e3c183796d256c7567b5da0e9220d3ac

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:fca2a083e5ed95e6e4aec2526ffa43c62eb21232825c494be3a04af64c120c64

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d25c2154d0c9f0c8cfe929e715fb50ff5987964694ea3deb1f7e6d3772c7f8cb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8fa6eb2a8f2fd4b1c78f578f8dc26a41cf77eed25d9d7029f5050b2488105693

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:6441ced1b45eb1207671cc319541d2d73f8393c8cda69b8a8651531ca7340f54

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a16410a162bddcac93af49ea3ec7c916188780bf6e0b4e6468e3d4beac6ad6f8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e946454898d8f4ec975da5628dbbfa81f3de2156729733cc50460fd4bf12902f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:dbd5c30ed93da15e249954a51799e18889e0cc1665aaf77b75541a915eb57c9a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d2c36e2cb8bcc9bd5cdfa5a01e264ba2f82f80bcf9018aaf34d29b96923710c6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:956b80dc641c2c9be9b048a9dbaad70197f208b0136d24b5e5ac563d7650edc6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0d54c331a8a98f593b62f841e5043b979980c513a153d8f0a401dabefaad128c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:de4a8d186180c5ba3099e6223419bc3e9df73b4a8da983ecf639a2fd43c64473

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a0fd76e74e32047ebf755247d99c73215c15b95b791d486d1e6dfceeb550d9f8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:0820b5a87df1e11cee8a8a8e82c6a7fe473e812e75bde61924eb8d1d9603f7c3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8f32a646f2b793cf7755ed81e41ef62b524fe9a5ae906d43fb0ec8ee4e26a5e3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:10efe6d440f2350b31d8a447b1749ba0467b52b13d33b7b888c35a8fe166532b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:5a8a8f05fba4287e46f0cf9997d675e6e18910bc811d6bff52da942574d71cf9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:85af47670a8cdaf2a15b710bd4764ef4cef93bc2db11a9599402e3e4f3281db2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:52782c2c9affe243bd3c71f2c8b0a69580d8be5673a045666e91dad6eb6449c2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:da27a43162de2dba55982a4ef4ddd0bf573fde5089c3457f060c3aabd9673018

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:dac9e2cddacc891e4f2e28a3a2de597ce1609786506431794342dc5ddd742c4b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2ff8b27b0e6aba6749ac83a99a34243f114ef7881cc8df711deba7755bd2a989

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:af28d6350c7a525711d9a8f7e480bdbf6d969ac3ade1b0095479cde23dadc5ac

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:8d5cc9581d023086e4513819886b73917c61321916a5aa8148c15365072ce296

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:f1b7e1022f5ae65c5230838510a333052efeafe4f18b86f1779ca63b840b5a37

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:71ec3e9ed80804b2d6724d8cfa3ee952363520262db44fb36fd4ee220b2d2416

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:284e1d3d58765310904957046dad2ba6e6c7589400e8e3c08ddf64526ed2b373

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:9aa88f971adfd30ce562dcbea5e566cd55b1d3e0d240dc4f93bf4efb5ad57ff7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:5e265a5b94ffb80a78992f6276c673a9ea467a03a37c09b3d5ccdb21b5d509a2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:10154b867ad5671916823d1241edb5bc9a92db69e05857cd1c9d92ec8fac4126

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c46f48bc318abf1c0668664aefc9aa00994a99b512fe396effc4ce332d5f8c43

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a4ea487ac399552599f3f66c3dd3fef41dc2ef3ddd5b1eadddafdcd7e05c3e41

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:ee3a5951a0b1d1bbaef8fd31dccf57c80b065a0c46ad9c3246e0a8fb4629b403

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a722cee45103862ddf54ea200b767993a5e560cc2e35e7f29d776e1794c1e167

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d5aba6166c9fae4b11a4f207971ebe212eb64577e731720d03e2ae42814e2a4b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:6acc8fd84137e7a962fceeb7e331592c440c6c0173ac4d98420513360f62819d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:2ddd38e7a4e2001d77caa6a7bf8cfad592e9bdf5cc0db319eef8d3efa40bd5f7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:5e407f78bafe83dc35f7994cf397aa7f9f4334cd2dc819662b87104adc0e13ca

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:abc4f0cbf59a94507d5d4bfca257ec65bf1376fb66e6b39d9ab416db1befd698

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d0de28edf29cd34b9d512a56b7ff490a52623241cc420fd883d98c02860358e8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:aca7f0289d79021dd3f58a45f720f746ee69829256ed595d895e5537870273a2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d5dbcf18cc1ba574db8370cf1b717503489570a36905a882da93bb900818c5fb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:39f81d6ef0fbb66d3264b6f65fbfb53c8bf40444bb91bbbc54b106df8d7e9d1a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:7d5a2e342ffb6bd70e625bb3eed6ed786954819ac3aa36dc55e0c709176a5c99

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c55eddf379d648e847136a9afa3d9332ac2cbd180583825127bbc5d7ff53fa86

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:934db3e8d414e679cbde291c4836d43cfab8f2c283a11bb2dd7d7995820fbaca

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:08efe6361086d295a542b35af611c17b26e24b6576d4de2609f5d71e8a82e86a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d2eecbb8e094861d52a7a0fb20cd89477ebd31a2d131797ff37f321bf74b737c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:28eb345580a792619924c2f6645e46029f77f5b947ddf64b417c2b9a92b387b8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:c893f98dcd46344335f8b3288fa23b4801c152c43f921ebbc2e512c9ba86abc3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:430845b55fdcb515f4f4f84ea901ea5ecfd3b1ee4ded6dfc9e7229eb1499ffae

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:32ecc2288e187d6b11c9701f5480e7ca5da88f0a3c2e8b2fe4794e010d14c5b2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:e0e9eae463a2a8b09d7d4f6226864f5c85a666535688eee3d056b51cbcbb7259

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:ce9f52668a7c2690c619077670a77591a72abb7d46e3dfd1f7261f81b7f46e01

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:ff6d7281bd099ce80d8cc2f0bcc9b7665bf9c5b5d05a501959ee7e626d60c2a7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:d0709983750d2bf1aa8c9edd39530299537b60e8ccf6ae912123749bbd0c7e1e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:45ba319bdf6ee5497430cb52bc71af3e00cb96b9f37637d705064c2430ce98ba

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:785f3bdc2bd9070e4601a5fc1e58433c3bb6f77c8e6f306f14cdfb48469a0e27

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:002b5bf71f2ddef53f46b4d167b060f01ac1db90c45a27086cf60eac0f1f53d9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:40039f2bf57d32c99144118e47b0b672cac54cdbf8e0218ee4c21859c0a5ecb3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a061dcd639cc514c05b3ade9a95898f623eff1ac3bd17a5a96ad76550275e5bc

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:34:42.414600Z digest=sha256:a379f8bd0558931dad73ec3d55eee496a347b48e6b0143171395728b54746b32

Pith citing papers

No inbound Pith citation observations are available.