Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T03:16:10.826692Z
Paper Citation Record · LEDGER
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
As of 31 July 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2502.07709.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T06:59:14.917904Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact13
- verified fuzzy57
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5d3a42d8-28db-4437-9119-fc8c115d9694 · outbound
This paper cites write newline.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces write newline
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.892514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation ce5e6c6d-bb83-4ba8-a1ca-d8d5d83910e2 · outbound
This paper cites an unresolved cited work.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Unresolved cited work
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 0d7fdc57-ac2b-4787-8f83-73059f1e724e · outbound
This paper cites Grounding language to autonomously-acquired skills via goal generation.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Grounding language to autonomously-acquired skills via goal generation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.885288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 26853dc2-a6ca-4a1d-800b-c956049976c6 · outbound
This paper cites and Mirolli, M.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Mirolli, M
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 685c748f-cab1-4abe-9f21-ef1b8d19adda · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 74e792c0-a524-44ae-8506-4a0633287ba8 · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation ec3a91bf-41be-48e6-875c-dff75ca9a53d · outbound
This paper cites an unresolved cited work.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 60154f5d-7e6f-4cc1-9312-75752c1e37c4 · outbound
This paper cites Control what you can: Intrinsically motivated task-planning agent.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Control what you can: Intrinsically motivated task-planning agent
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.729804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 5fa97a11-9360-41a2-8103-9162ea263cc6 · outbound
This paper cites Grounding large language models in interactive environments with online reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Grounding large language models in interactive environments with online reinforcement learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.774970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 613e9a51-cfa1-4fe2-ae8d-35733e1be166 · outbound
This paper cites Stein variational goal generation for adaptive exploration in multi-goal reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Stein variational goal generation for adaptive exploration in multi-goal reinforcement learning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.767461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation fd65f983-bb58-474b-8b34-6ea31900dc54 · outbound
This paper cites H., and Bengio, Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces H., and Bengio, Y
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation d1c41a7b-5eff-4bc2-9519-f3821faf5999 · outbound
This paper cites Multi-armed bandits for intelligent tutoring systems.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Multi-armed bandits for intelligent tutoring systems
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 5242d2ed-d095-477e-b885-bb37af73b9b6 · outbound
This paper cites CURIOUS : intrinsically motivated modular multi-goal reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces CURIOUS : intrinsically motivated modular multi-goal reinforcement learning
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 440dd6a4-3af2-4281-80bb-9e83b6f654e7 · outbound
This paper cites Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.383111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation bc45bdd9-1fc9-4fa4-8040-4ca132ec98d1 · outbound
This paper cites Language and culture internalization for human-like autotelic ai.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Language and culture internalization for human-like autotelic ai
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.726046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 268727f1-0a0f-4bae-91b5-08a1c7d420d4 · outbound
This paper cites Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.756148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 25c67a14-cceb-4f1b-a305-9382423075ac · outbound
This paper cites Emergent complexity and zero-shot transfer via unsupervised environment design.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Emergent complexity and zero-shot transfer via unsupervised environment design
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.771147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 0f030102-8b2a-46ad-bd1d-8588e2a33c3f · outbound
This paper cites QL o RA : Efficient finetuning of quantized LLM s.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces QL o RA : Efficient finetuning of quantized LLM s
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.763592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation f095ae55-fe8e-433e-8b48-74271b7b11b7 · outbound
This paper cites Where’s the reward? a review of reinforcement learning for instructional sequencing.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Where’s the reward? a review of reinforcement learning for instructional sequencing
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 0aecf5db-3fd2-4c31-a3b3-5f546a48d10c · outbound
This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Open r1: A fully open reproduction of deepseek-r1, January 2025
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 581ef7e1-3a90-45cd-92ba-032bb7f175ed · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 23da7bae-95d1-485b-a759-cb9ef140e61d · outbound
This paper cites Intrinsically motivated goal exploration processes with automatic curriculum learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Intrinsically motivated goal exploration processes with automatic curriculum learning
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 01f50584-9c8d-4cf4-b078-ce11f8aad955 · outbound
This paper cites Accuracy-based curriculum learning in deep reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Accuracy-based curriculum learning in deep reinforcement learning
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 26c8b16e-6ec6-4158-adce-94a8f719eaad · outbound
This paper cites Sac-glam: Improving online rl for llm agents with soft actor-critic and hindsight relabeling.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Sac-glam: Improving online rl for llm agents with soft actor-critic and hindsight relabeling
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 2a0e1580-823e-4872-8553-914a5f9a77bc · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation e1146347-c105-4535-86b6-20568be1b321 · outbound
This paper cites Benchmarking the spectrum of agent capabilities.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Benchmarking the spectrum of agent capabilities
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 69c0f90f-52ac-47c9-832d-8be7015dee00 · outbound
This paper cites Reasoning with language model is planning with world model.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Reasoning with language model is planning with world model
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-23T03:17:27.249071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 5fdefbc4-e82f-4451-a2f8-edc15d4d075b · outbound
This paper cites Automatic goal generation for reinforcement learning agents.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Automatic goal generation for reinforcement learning agents
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 756e0999-9bdc-4201-8629-f787165f5b22 · outbound
This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 11e2f3dc-997d-4fc1-89e1-60d0c0c4a859 · outbound
This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation a4e68dec-4aaf-4029-931f-29e8f6f918ed · outbound
This paper cites Wordcraft: An environment for benchmarking commonsense agents.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Wordcraft: An environment for benchmarking commonsense agents
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 98f1ef97-06fc-487d-b21a-6ab534fe1a83 · outbound
This paper cites Replay-guided adversarial environment design.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Replay-guided adversarial environment design
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 706b218c-2811-4643-960d-198b0df3b7b6 · outbound
This paper cites General intelligence requires rethinking exploration.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces General intelligence requires rethinking exploration
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 99d69c60-ade6-40d8-a977-87468dbcbb63 · outbound
This paper cites The malmo platform for artificial intelligence experimentation.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces The malmo platform for artificial intelligence experimentation
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 6be24126-4da6-4a97-9d86-924b05bfc58a · outbound
This paper cites H., Houghton, B., Sampedro, R., Zhokhov, P., Baker, B., Ecoffet, A., Tang, J., Klimov, O., and Clune, J.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces H., Houghton, B., Sampedro, R., Zhokhov, P., Baker, B., Ecoffet, A., Tang, J., Klimov, O., and Clune, J
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation fad2e431-b515-4514-b340-bed843b1475d · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.859589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 7b1f5eb7-bcf0-4a74-82ba-2fdad328be23 · outbound
This paper cites and Hayden, B.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Hayden, B
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.785558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation a9a753e5-f59b-48fc-b43b-cc951a8ef754 · outbound
This paper cites Grimgep: Learning progress for robust goal sampling in visual deep reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Grimgep: Learning progress for robust goal sampling in visual deep reinforcement learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.265150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation bd463c37-710d-40d1-a753-c1daecb823d0 · outbound
This paper cites P., and Barry, J.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces P., and Barry, J
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.799909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 27e369ad-c551-48f5-af05-48174cba62ac · outbound
This paper cites Curiosity driven exploration of learned disentangled goal spaces.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Curiosity driven exploration of learned disentangled goal spaces
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.810660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation b8006fa9-cf5d-4c85-9d53-a30fe6eafcf3 · outbound
This paper cites A., Cordrey, S.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces A., Cordrey, S
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.714610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 9fc73f9c-98ec-43ed-8fc0-127229a02b17 · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.880685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation c789b727-1783-496a-bb7e-5519ff474551 · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.287636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 6315b36e-3814-432d-ad3a-4992436f2bd7 · outbound
This paper cites Teacher–student curriculum learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Teacher–student curriculum learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.840148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation d441a1f1-b709-4a24-b83a-65f3e531e2cb · outbound
This paper cites Kinetix: Investigating the training of general agents through open-ended physics-based control tasks.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Kinetix: Investigating the training of general agents through open-ended physics-based control tasks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.867802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 36c465d6-a397-48bd-8295-20d85d65c55a · outbound
This paper cites and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Oudeyer, P.-Y
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.280331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation b7874f47-0154-418b-88f4-75284cb7dd04 · outbound
This paper cites M., and Oudeyer, P.-Y.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces M., and Oudeyer, P.-Y
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.270710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 48c954bb-2ae5-4fb6-bdb1-5e420c94346d · outbound
This paper cites and Smith, L.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Smith, L
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.836866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation c6bbf92b-db1f-4e11-9f24-bab25772b1ff · outbound
This paper cites Oudeyer, F.
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.258855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation d3b1fd02-bda2-42d9-994a-229cafba9ee6 · outbound
This paper cites Maximum Entropy Gain Exploration for Long Horizon Multi -goal Reinforcement Learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Maximum Entropy Gain Exploration for Long Horizon Multi -goal Reinforcement Learning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.846669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 7505f61d-aaba-45cc-abf4-f9c4d2338543 · outbound
This paper cites B., and Hunnius, S.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces B., and Hunnius, S
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.782245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 9a047e35-ca00-42ab-8a4c-979239b4799b · outbound
This paper cites X., Mars, R.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces X., Mars, R
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.856212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 4647f63b-0674-47db-9c6b-8187007090a9 · outbound
This paper cites H., Dalal, M., Lin, S., Nair, A., Bahl, S., and Levine, S.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces H., Dalal, M., Lin, S., Nair, A., Bahl, S., and Levine, S
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.699155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation dffea8e9-d26e-4149-85ac-d09e7337b4a9 · outbound
This paper cites Teacher algorithms for curriculum learning of deep rl in continuously parameterized environments.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Teacher algorithms for curriculum learning of deep rl in continuously parameterized environments
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.902716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation c6a003d7-0b22-483b-b349-ccdc73f49d86 · outbound
This paper cites Automatic curriculum learning for deep rl: A short survey.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Automatic curriculum learning for deep rl: A short survey
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.833586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 63088d0e-5c3b-4118-bc5b-e07364efc5d4 · outbound
This paper cites ACES : Generating a diversity of challenging programming puzzles with autotelic generative models.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ACES : Generating a diversity of challenging programming puzzles with autotelic generative models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.692094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 72e4b675-bb35-4329-a51c-330e60435d77 · outbound
This paper cites Qwen2.5 Technical Report.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Qwen2.5 Technical Report
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T03:17:27.387911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation e1340a93-b496-4bd1-8642-e56f8e839bc9 · outbound
This paper cites Automated curriculum generation through setter-solver interactions.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Automated curriculum generation through setter-solver interactions
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.828534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation f1d9f8ab-3bd9-4d21-a822-f416723082f8 · outbound
This paper cites an unresolved cited work.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T03:17:27.789107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation a1c25382-086d-431d-9384-2c14dd96fd0e · outbound
This paper cites TeachMyAgent : a benchmark for automatic curriculum learning in deep RL.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces TeachMyAgent : a benchmark for automatic curriculum learning in deep RL
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.792646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation b3e764b6-2257-48ec-bf5c-2eb002f7fa45 · outbound
This paper cites Learning progress mediates the link between cognitive effort and task engagement.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Learning progress mediates the link between cognitive effort and task engagement
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.703513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation cecba0be-cab8-4095-b28f-5341e584a55e · outbound
This paper cites PowerPlay : Training an increasingly general problem solver by continually searching for the simplest still unsolvable problem.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces PowerPlay : Training an increasingly general problem solver by continually searching for the simplest still unsolvable problem
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.244779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation b5b86382-caca-47b4-97d5-7e3b680a13de · outbound
This paper cites Reflexion: language agents with verbal reinforcement learning.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Reflexion: language agents with verbal reinforcement learning
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.710944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation f608dab0-f2a6-40d4-ae7a-5450cccf3ecf · outbound
This paper cites A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T03:17:27.378104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 8747a91a-8baf-42d6-a0e6-0426bc5afd63 · outbound
This paper cites and Barto, A.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Barto, A
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:17:27.232465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 9fd130dd-4ff3-44ad-96e3-b9e63b6f4e56 · outbound
This paper cites Humans monitor learning progress in curiosity-driven exploration.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Humans monitor learning progress in curiosity-driven exploration
Reference 66
- Resolution
- verified exact
- doi, observed 2026-05-23T03:17:27.253218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation b2429376-abfd-4943-b766-de6a0a5a15a4 · outbound
This paper cites and Hinton, G.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces and Hinton, G
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.853105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 10a07e7e-a67e-4c16-bb34-5b3dde2b44dd · outbound
This paper cites Voyager: An open-ended embodied agent with large language models.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Voyager: An open-ended embodied agent with large language models
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.876254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 451afe7a-6cfe-47d0-a861-9e1f253f4d18 · outbound
This paper cites V., Kulkarni, T., Ionescu, C., Hansen, S., and Mnih, V.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces V., Kulkarni, T., Ionescu, C., Hansen, S., and Mnih, V
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.906996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 4bdfdd5c-00be-4b28-9f71-db21f991f0c6 · outbound
This paper cites Entropy-regularized token-level policy optimization for large language models, 2024 a.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Entropy-regularized token-level policy optimization for large language models, 2024 a
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.688178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation ce693f63-ea16-47b4-a7ba-0de829c77020 · outbound
This paper cites Reinforcing LLM agents via policy optimization with action decomposition, 2024 b.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Reinforcing LLM agents via policy optimization with action decomposition, 2024 b
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.695420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation f2cca5fc-8535-4100-8a58-19b6858c9847 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces React: Synergizing reasoning and acting in language models
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.684610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation c99d130b-7c8a-4b34-a95a-7221069aa8e5 · outbound
This paper cites OMNI : Open-endedness via models of human notions of interestingness.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces OMNI : Open-endedness via models of human notions of interestingness
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.803805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 295f9ac5-5ce4-4133-aa8a-3a78a6ee18fd · outbound
This paper cites A r CH er: Training language model agents via hierarchical multi-turn RL.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces A r CH er: Training language model agents via hierarchical multi-turn RL
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T03:17:27.707297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Pith citing papers
Observation 9e836083-1e7c-45f3-ad44-e227f2ecd23b · inbound
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation cites this paper.
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T06:59:14.917904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.