Pith. sign in

Paper Citation Record · LEDGER

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling

As of 17 August 2026, this Paper Citation Record lists 100 of 166 outbound references and 0 inbound Pith citation observations for arXiv:2607.04409.

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

pith.paper-citation-record.v1
2607.04409 v1

Coverage vector

measured 100 of 166 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:24:48.899301Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

100 of 166 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48c27611-b405-47c5-bdb3-abfb5dc8b15c · outbound

This paper cites Causal Representation Learning from Multiple Distributions: A General Setting.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Causal Representation Learning from Multiple Distributions: A General Setting

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:462a02e7d8f1a8336259d117242e662e0c1a30b5f46eadb717597c02f8b5eb1d

Observation 51db7b37-9646-48bc-b07c-18dbebb0a824 · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d758c0d156c83b5a29233029e537fb208905a8efb454de4281da3f277b129294

Observation 03e83cd0-9e1d-4db9-a5c9-31016825ccfb · outbound

This paper cites Nature Communications , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Nature Communications , volume=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:f9f5022b3037f2ba252adeae34dab56993c098e1d32f6fd95fdbb4ea090e8133

Observation 3969c01d-e9a4-4064-9a80-fad24add6e32 · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning , pages=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:1af6b16360d49680de77b81075ef03a41498c29459903adc3126f5799e9a9b49

Observation 04eb270a-b2d4-4f2b-a57d-f5e468a01fb8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:52068a2bdb6af82211c2ec0c68f34078757c8c32228c5bb3f9a2db9bbee026e8

Observation 11094108-593c-4629-8288-efadd57b9e9c · outbound

This paper cites Nature , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Nature , volume=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:0db433f40280f5e643d0e5130a69ca77f1a59ee84ff24f1e60c5ed4e468f4678

Observation b4d4c153-2419-4930-871b-5b19226b31fc · outbound

This paper cites Neuron , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Neuron , volume=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:ba595a0f08ac8e32de1dcdf54aef5d55a9f587caf9af25fabdac9c7155765778

Observation e4fffcd7-f694-44ef-b160-59e5c9b18a15 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:01eb36afbc618e99854b4115072b67e8e9417ba1862d64342226daaf0f058f71

Observation 58783ff0-8de6-49eb-9b1b-dca005eb867f · outbound

This paper cites Proceedings of the Eighth international joint conference on Artificial intelligence-Volume 2 , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Proceedings of the Eighth international joint conference on Artificial intelligence-Volume 2 , pages=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:ce639818221920f9a51bdacb86b2f06b5ce493d270b55b4e43d0ca735cd5141a

Observation 059c29c7-b316-4330-8554-d4ad16116078 · outbound

This paper cites ACM Sigart Bulletin , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling ACM Sigart Bulletin , volume=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:6599491d029fc76ca71301337022042b5c81eddbcb043d7af1477795c84db6e5

Observation 05615b61-8a24-4a96-b33e-eba493b2b8b3 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling DINOv2: Learning Robust Visual Features without Supervision

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:c12ce029aa672924b9f7abf2aecc139a4821d330b88b5d328581b66858bd1630

Observation cdc0fcbc-d86d-47c0-8ac4-7d4bcea3e352 · outbound

This paper cites Artificial intelligence , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Artificial intelligence , volume=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2d63c1bf55f4b89094cb6b9be8a103598a8f40f9715184da655ad5e45af51bba

Observation b04a52a7-ba59-4f57-ab41-8a92b633744d · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:6d251105828789d7699fd18602f2a2d0ab4a318eb16da776284bd1b650eeb358

Observation 33e39b74-467a-4e9c-bd90-14284af4640d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:9a8afeac7f1bcf98a91d808c73b6f81aeb19986b306b4d638a1c802c2b853b4e

Observation eddcde47-7491-4ba2-8d89-d15ab433e3fd · outbound

This paper cites Mastering Diverse Domains through World Models.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Mastering Diverse Domains through World Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2750c3929bdbac43426d55f99e434ffbbf8ccb7b524f781792b9fa3492f558ca

Observation a63f368f-cb5b-400a-8e1f-42c658da10be · outbound

This paper cites Language-guided Skill Learning with Temporal Variational Inference.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Language-guided Skill Learning with Temporal Variational Inference

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:570b0a6286d0487d85ee3c5fc8c2b92e046e57fdfdb9f3daf9ccb08df4f5da50

Observation e4af5c40-7db5-49fa-9a85-ab5876ab9412 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:ae24c7db169e7300a33fba14c3a69e8dda57a25bd123a8b36ea6c2890c9c79ba

Observation 5641bccd-3b05-4b9d-8301-b27df5caa3dc · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2ebf358ff56681ba6ef2546578f79a6c8588f063e29feb5953b57798c7d551f7

Observation 70c5771e-9b5b-4ca9-9d7d-ad7c1a2c339e · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning , pages=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:ff9635d503596cda7100103e3d06f3bd0087fe9a5b3deff19869df1eeeb575e5

Observation 56c8f550-f3d7-45f6-b450-78be47a71d2b · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Uncertainty in Artificial Intelligence , pages=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:b3722b4c42ae2e626cf4df20bdee0b0dd676179420b822d21922ecf40742af9a

Observation 3bf55316-b959-42e4-b035-5424676e46f7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:83222cf6a0cbdee9b9a4520dcb5d1d4aeb3d12792cc5c0f3e9b6846605bb3955

Observation 8e4a352e-f986-4e15-89cf-8393577bb012 · outbound

This paper cites Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d18addba9465c2be822a95b2acfbdab1a6847c4ec38e6822921527467f48aadb

Observation 79816876-a387-4a58-aecd-fccf95cb9b2a · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2d9f8fa8c92d748ddf172c3ce8826398e0417c46494ca69226b87abd5a56036f

Observation e72362f9-aabc-4a52-90ab-a13c1c5e07b7 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:aeb9a606489ddbd71c2499eaf2f07e0ffa129d318e2c488a6e7d418641914545

Observation 742d5840-055a-43f7-9149-6fe28af53acc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:06f7c392d3e675e1fd9d6f91a6ce4069cd373f4eed77a1807ac991bda308373c

Observation a1f34812-9ba6-4bad-8dcf-af88fae1c614 · outbound

This paper cites arXiv preprint arXiv:2502.12179 , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling arXiv preprint arXiv:2502.12179 , year=

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:439e85b7e95795b13a21ac9931bbfac252365eb6261383cb328be62b8eafbf87

Observation 64e84a91-8f77-4948-9977-c907b9e78e6e · outbound

This paper cites International conference on artificial intelligence and statistics , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on artificial intelligence and statistics , pages=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:6b8426cff2baa048dd4ef282a8ffc7041769ac37f43ceede99ccc782530f8723

Observation bcd79dfb-3736-493b-bd71-7fd4c7b2d742 · outbound

This paper cites Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:f786993df203ba513edf0a69180bd084c83754816ba25be1b82164f074ed865a

Observation 1d908f3b-928f-4232-a561-2d291571db6e · outbound

This paper cites UAI 2022 Workshop on Causal Representation Learning , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling UAI 2022 Workshop on Causal Representation Learning , year=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:8a0343d3ab819b900e7b5800dee8d952c79ff7430df25a1b5d4e8a428bebae91

Observation 00e73215-5204-460d-82d3-6a5a7a0d5430 · outbound

This paper cites ICLR , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling ICLR , year=

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2c9684775182d408006dd01d380d458e6567cdbb7b1a0214444ef258ca93e3e6

Observation 0404fa6f-ce28-459c-b7e7-18708f403bfd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2fdb6d9ecbebf40e4886a58d9a9c7fa0ac9cb61d5cb6dc0d568459a719a48876

Observation a70845e5-97f2-4e7d-aa79-1d40c953dd55 · outbound

This paper cites Artificial intelligence , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Artificial intelligence , volume=

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:572fa385bebbbed5bcf57755bdbe64826d0551b49eaed22b8437332f69b96c27

Observation 325c9e08-5e9d-4642-943e-075a579ce0f5 · outbound

This paper cites arXiv preprint arXiv:2506.06658 , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling arXiv preprint arXiv:2506.06658 , year=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:b51f3d5dcd63e263b0bb040b53a3dd583eb734ae9d3787e994df7a0b5e062216

Observation f3c600e2-e1f7-439a-9ad6-d707e9fd07db · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:e29f92b8ba4610cf7c46f11fb1dd49a33d67bb47e823c19e7bcdf860b91d8548

Observation 5b236990-69c2-4956-8e82-b1ee607e09f8 · outbound

This paper cites Neural computation , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Neural computation , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:8a73b336c68e54158936db182acf2ec7a7b7f215dde94127ce511f681cc1af6d

Observation e3b50482-1bef-4a71-803d-a2c08d5259fc · outbound

This paper cites Solving New Tasks by Adapting Internet Video Knowledge.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Solving New Tasks by Adapting Internet Video Knowledge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:0a8c7f8cd929cdc6114b21184ac8c7e37e8acaf8562c8695e09e4a0cd0418fd6

Observation 740ec32a-f3f3-48e0-907d-1a218f217e24 · outbound

This paper cites Nature , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Nature , pages=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:e8289d68964983684255cb65ae878e71fb71fbb6900f07936754619369a2c14a

Observation 254ed8fc-c406-43a7-afb9-f932bc42c8e8 · outbound

This paper cites International Conference on Machine Learning, PMLR , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning, PMLR , year=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:7d71ef796eceef63782196cbbcfa33ad649a303f2b18322f62f60229bef63a67

Observation 6fc03a8e-1cb0-4768-b2c2-e202313be5a7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in neural information processing systems , volume=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:5fe7c6176090378e09894ebc033e44d7b0da51a2206aadfc7658c0a1fe6aee49

Observation 112478a6-b717-4d2c-9822-2fe3e1334bd3 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2265be0871a05ff9201e1fdaf06b15c08dc8fa726ed131e9f92259b45798e0a9

Observation 0faa936e-842c-47ed-bcee-ce07f2471f1f · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:748fcd6e3dd6241136bbfb586333e382e5f8fb31e34c4c83346c153f1f88db6c

Observation a7fcf205-252e-4c71-b549-d15dc2fcd5b7 · outbound

This paper cites Nature , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Nature , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:c214abab3342c5cbc27b9fe866a5e066908f1e8e4b5720d92220624bf70749eb

Observation 928bfac3-f8e8-4bf7-be89-17eaf93e934a · outbound

This paper cites 2024 , url=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2024 , url=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:179a3d1ef93aa543037743e77a1ac585b72348b783dc60a15d9b9edb479a6c2e

Observation 80aefc48-bff7-4386-938b-c6d16f6f39b8 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Forty-second International Conference on Machine Learning , year=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:22b7fc35e71e415d7e71d756b30e55f31eeb6f383a94b58b5af32ef37818800f

Observation 1fdbd6fc-73c4-469d-83bc-960d497dfa9b · outbound

This paper cites 2025 , url=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2025 , url=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:567cd268f3c9e6d096373c752a866eb4c4d43fc93efad64bb220f65ac24b76b6

Observation c6bdfb43-d1cc-4978-850a-8dfa37a52757 · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning , pages=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2da0ab3a5cbfef3f96540680d69342baf2eb8862e93a0bf7df8594a926b6447b

Observation 2521dc1e-b17e-410f-85d2-c77d50126af1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:60da077ce493293eb00a83243283ad0ae21a88a9d7251cc697e80ed178420fa9

Observation 9cb0c5bf-860c-4ef8-96b6-0887382d3e5e · outbound

This paper cites From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:97b086b217c3718f209339665ae6db4a8d25d5334c9da9a0ff0568a82769c309

Observation 168d0ea8-1cf7-4df8-ab29-2ed9c5aed7fb · outbound

This paper cites Artificial Life Conference Proceedings , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Artificial Life Conference Proceedings , pages=

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:83ef563d8976edd65477b6b4c6017d814fac793fcf52adc9a5ee100e3bf28e74

Observation 26b7c62d-c3fe-4832-9014-96334b8b9ea3 · outbound

This paper cites Open-Ended Learning Leads to Generally Capable Agents.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Open-Ended Learning Leads to Generally Capable Agents

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:8327a3b3fb3e1b0564c6881c15bdb3b758481d5bfdfe93873ecd083030151cb1

Observation b77db388-f858-4872-83e3-6ac0663b066c · outbound

This paper cites Robot Data Curation with Mutual Information Estimators.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Robot Data Curation with Mutual Information Estimators

Reference 57

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:0344d389d8d455fb2202d49e88456e11937452a67925589b8cf90f69b1d57a86

Observation b1c761de-9dc7-4b8f-ac58-93f093b0abca · outbound

This paper cites arXiv preprint arXiv:2506.19121 , year=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling arXiv preprint arXiv:2506.19121 , year=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:a0cea1b03ff7b14fd1a5e5855eb293966bca83439b5e33bd97e8e9f3d863ad50

Observation 9820bdb9-7415-4edb-bab2-b5932fac17f6 · outbound

This paper cites Efficient Data Collection for Robotic Manipulation via Compositional Generalization.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Efficient Data Collection for Robotic Manipulation via Compositional Generalization

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:1ff8ed799c6e7233223120c6222899f2f62d93cda1ad7dad213c9d5331f29ed6

Observation 8c65f824-465d-476f-9b8b-91bf38c94203 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling The Twelfth International Conference on Learning Representations , year=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:237d9b3fad49d6cb95d9edabbeb878d35427803c22889628227cff85f8d71f50

Observation e2d354dd-bd7d-4ea8-b98f-305b71d7e924 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in neural information processing systems , volume=

Reference 61

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:4ba91d32eb5ec4e7771741ce15d2a7729754e5f7e8984750590bdb081dea0efa

Observation e19736ac-7821-4b78-89d9-edbf84961d73 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:6045cd088f072ff3d4a5fbe903714975bc8054655f4d04bdf7ce55fd3098b2da

Observation ec2afb03-9a71-4953-b3a4-fd0c2006d859 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:735aa9f9e1fb44bbd375f2c43493d9197cbc31bed5b507b604e3331766a8fb83

Observation 445e18b4-b490-456c-a5ac-6332c3e6ff1a · outbound

This paper cites Probabilistic Graphical Models, M.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Probabilistic Graphical Models, M

Reference 64

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:7ff9a49e6023afc7436d7e89eef708c6f5ced9fc3b23e4210acc17908067971c

Observation ac564165-0b55-45c0-90f3-859a2af03e06 · outbound

This paper cites Artificial intelligence , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Artificial intelligence , volume=

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:635d3889bb8d478df9f794821e6b3d99c5e3d18afdbd2a1cee586e44d0e769a9

Observation d101c061-b897-4f32-bedf-f1793f49e9e3 · outbound

This paper cites 2009 , publisher=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2009 , publisher=

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:86af315c4bc92e67d59d9c577db065e7ee3197c55273c818940dd0a32d0257c4

Observation 2d19f019-0feb-4e9a-ae5a-e6e2a6908003 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:36545545364c1f3f5f6b5bd2a9579ea75cf0e62ba9ead744669968c07db04b52

Observation b14a0974-2f07-4d16-b7fa-aedb597a5511 · outbound

This paper cites an unresolved cited work.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:db0b5562b8e1dc415ddea1e97e26264c75253ed4bca80fa2b6e04b0dad5d5d43

Observation df3fc116-b07f-48fc-ae5d-47ce3938b987 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:98a4939c3408250079c41b0259f5a26465304453e79ee1371754952fcbc53003

Observation 274e25c6-d427-424e-83f2-83380cba2a17 · outbound

This paper cites Cognition , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Cognition , volume=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:148b6009daf4d6f019cb9ab42b3c27665dd9350e7af9ce182301d307a059b6b4

Observation edf51465-b1e4-40bc-aeac-05023e275c4c · outbound

This paper cites , author=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling , author=

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:36fddd49ecadd487644d5bcbe8642b51b60413058efc60d9324126b81dba1129

Observation bf86536a-2ce1-4f6a-a380-ba9a11c23338 · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 74

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:fc5b1a68ba902678ee31e014d90bd8601809ef32f67a2f130dfae6fe97f27ea0

Observation 818aa5d7-bb56-4fdf-b1eb-8552dbd0f16c · outbound

This paper cites Learning Interactive Real-World Simulators.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Learning Interactive Real-World Simulators

Reference 75

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:8ff5b688445d21a5ec331b3b57ef7f8c3010ee53413fb53e889e2676d65634b9

Observation 7c1bfd1c-4334-44e5-bdeb-43cae7835533 · outbound

This paper cites 2025 , eprint=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2025 , eprint=

Reference 78

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:70d9aaa1860504bb634375a7bbc34ecc6d4997fe063fd9eb496fd25093d5b3ce

Observation 6137678b-139e-45c4-9c8b-f5d9f0cd2b59 · outbound

This paper cites Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence , pages=

Reference 79

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:c8b0e2d6a9464ec7c8c5d92555c816e2f80563969a61b40ce4f531eb5c33344f

Observation de3db405-b6dd-406f-8d5e-7cf4689479ac · outbound

This paper cites 2024 , url=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2024 , url=

Reference 80

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:2aa9f86221a8814df29f476ff6dd8e37fd2a9979a598376cb78d635530495a86

Observation 6214588b-f9c0-4fa7-a056-3edb1de7789e · outbound

This paper cites 2009 , publisher=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling 2009 , publisher=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:06a9d3754d25cd7f28d22d86e4de1c71fea268398f02025e300b3a1e94d6f906

Observation 7401281e-c201-4d23-908f-e54a4c34f025 · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning , pages=

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:a2a7a47749ca8d45dfbc0425d8c479f902394be79d4b1f61788ad1524406f266

Observation 0089baaf-a767-4cdb-b6aa-f047eea4e224 · outbound

This paper cites Conference on robot learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Conference on robot learning , pages=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:4217cc0ec839cce87aa83ecded75904ee2a0af58ace9e25472d383370e2a1fee

Observation 58ccb690-5e1f-4c28-8b4f-378656ca6600 · outbound

This paper cites , author=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling , author=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:38bc429b092919891502b7e5c8f9e22e246631ef5f03bdd8ff02df4f574cd544

Observation 29b8052d-230e-4a9e-b092-cd306253dde1 · outbound

This paper cites Software Impacts , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Software Impacts , volume=

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:0090d8f574f1835bc181c95c2289c00b797a1f0f611b0ba8d2f69e203e414ebf

Observation dc57d265-225a-47ab-8b30-bf4d0cd8bf64 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:14cefb7c79aa5349e1076b50e261b0e44e09cb77d91aa1d14c1ff29a117624eb

Observation dfc5e898-0145-47b9-8315-cf095b0103ac · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 89

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:b3b23572c6be0094b75eea0c7135b84ff22f435aab044c48767546b91507096e

Observation 6ac5b794-cc51-4b3a-9c97-ce1989db1105 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 93

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:e4dd31ac14c00a362a503e003ae4b49c546e1f8c4a7a160312f98cd028acbb50

Observation 096258c8-746a-4f99-adb0-4e65ebf60410 · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d5a86a2dd535d3a3d524b595991616051e5544575358357246f3008f021640c4

Observation fc995c28-82f4-460a-92c5-9be19434a019 · outbound

This paper cites International Conference on Machine Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Machine Learning , pages=

Reference 97

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:50e9f4c9415cc34c2f82724bddff4af8c9860dbfe2b2df49b1b2069da6f80bc7

Observation dd498299-8ccd-4a61-affc-585940e5e39a · outbound

This paper cites an unresolved cited work.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Unresolved cited work

Reference 98

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:1350b0c988561d80dd37dd58dd06b84bcbef2d33f9a6a423017762b2ac415e1d

Observation 54f79416-b2a5-452d-a904-c68b65549b29 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:bb4218e3c21d88d4dcb13c9aa6e1119cfddc393f1707b205cf26eca7c7d277e6

Observation 91067d98-900e-4534-8402-fab860537a03 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:965f26fbc095ebc9a6cdc7f4eff890cfe61fecbdd5c0a17fccc682cbdf2e2f94

Observation 930eb65c-3e10-4db0-afc3-9acbb6ee7830 · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 102

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:c334d4cab0a27e6a3efa43000946bfb3a75070bd425731e191fb579d2da63c88

Observation 3621a60e-41a5-49eb-a731-57d162f9bc32 · outbound

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

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International Conference on Learning Representations , year=

Reference 103

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:9582fee221351adbdd3d25dae22176ac2a89d454788dada009295d7c1030ab7c

Observation 6060bc5d-9577-4aa2-85c2-ab146a69bab7 · outbound

This paper cites PRX Life , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling PRX Life , volume=

Reference 104

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:5d4df007943d1ad46857e9bda2d8bca3a1ee7476a63b1b6ebeb3242d60aea8fe

Observation 77ca565b-4677-4a50-84c9-7b15cb041a43 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 105

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d27c14656b623de18868cfcb2a57a79ab4aebbc21f8383783b3073f57766d1f7

Observation 6583d3e9-770d-47f3-8c83-297bff264a4f · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 106

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:7a6dfd4477047a698e58bd3ef86609f0c5846997c4e50bb3f19196ac3a95edcb

Observation 29ad11b1-04c7-4056-8c25-d2152f512164 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 107

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:816c9bc82844964a3e75199594220231fc895ac4ff41109fd31868064a19722a

Observation e009214e-37d1-4190-9d4b-9fb734817421 · outbound

This paper cites Journal of agricultural research , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Journal of agricultural research , volume=

Reference 108

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d0d642f0554c626a7cdb52f114f5f6111c66d53984e60ae40b99e9caf25e61f2

Observation a685f89b-9f28-476c-823b-716e3636eaf2 · outbound

This paper cites Conference on Robot Learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Conference on Robot Learning , pages=

Reference 109

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:e4a81fdfb855811ab1c62f113491d5191fd55220f10a093c66bde8d05c1e05e2

Observation 9d9d4a27-1842-4a47-ae04-06a0f2eeaf48 · outbound

This paper cites International conference on machine learning , pages=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling International conference on machine learning , pages=

Reference 111

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:3b44715007304a0e331a79aa216d02ecb7647e40d84e70befb5dd83dcbed5682

Observation b8cfa2a6-35ad-4da6-9d72-e2433ab2263a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Advances in Neural Information Processing Systems , volume=

Reference 113

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:406fdd6a02f15a54b997fc300608f5cda27d9f74d8addfc55acf01f237595613

Observation 1fa221c2-a0c6-4e0d-82df-614d353ae1ce · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 116

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:d065d7f1fe8d94a885214c1a09c6079ec57097a8b146896b996bd2692aea8a78

Observation 1c8089d9-01b6-4a7d-bfb3-f439e3855bb7 · outbound

This paper cites Back to the Features: DINO as a Foundation for Video World Models.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Back to the Features: DINO as a Foundation for Video World Models

Reference 117

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:94521d3efa5fcf454c7103aa6626ec5eb33463dc4c837799c6b86faf2039b723

Observation 25b10744-1f4c-41f4-a779-b0cbe3389f95 · outbound

This paper cites Ready policy one: World building through active learning.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Ready policy one: World building through active learning

Reference 118

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:c8a9dfda3da5cc758115d724b945b6b09ce0ddd3ce2d93e0d0a32b31f5744a5f

Observation 0995a860-b4dd-4269-b876-5628d171acb9 · outbound

This paper cites Mutual information neural estimation.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Mutual information neural estimation

Reference 119

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:af6e0117a47df290527d13bf7a136a524c7a8cb96d5bbe22b8cb6ecb7448f40a

Observation 444593a5-2855-41ac-8460-38eeab6e4dc4 · outbound

This paper cites Dynamic bayesian multinets.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Dynamic bayesian multinets

Reference 120

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:862f9c170849cf5f66446168498bfd5147b235709a9ccc2194518750250fee56

Observation 36e534df-dad9-44df-88f4-7d02d1ff8e38 · outbound

This paper cites The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery

Reference 121

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:5835b682794497edb621d6245b9329dbff8838c8dd0f45f0cc46161c695fcbc0

Observation 2f9db045-5c57-4bcb-88dd-49ba7e847311 · outbound

This paper cites Stochastic dynamic programming with factored representations.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Stochastic dynamic programming with factored representations

Reference 122

Resolution
unresolved
no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:24:48.899301Z digest=sha256:5bf1f091f59b703bb5c0b00bb4eb8168369c1017492b186c3bcbd9b08cf44c3a

Pith citing papers

No inbound Pith citation observations are available.