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Paper Citation Record · LEDGER

TaskSense: Focusing on What Matters in World Models

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.06544.

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

pith.paper-citation-record.v1
2608.06544 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:21:20.555798Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy10
  • unresolved41
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ca07c5f-125d-44aa-994e-1c41f8f5d831 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

TaskSense: Focusing on What Matters in World Models Categorical Reparameterization with Gumbel-Softmax

Reference 1

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source=arxiv_source observed=2026-08-10T04:21:20.316198Z digest=sha256:13d3dee4491c9081b0988846da37153574c80547e7f8ac15a1220f1b0c6482b0

Observation 109f9c5b-83f5-4468-afb4-f4b8b53c37ba · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

TaskSense: Focusing on What Matters in World Models Dream to Control: Learning Behaviors by Latent Imagination

Reference 2

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source=arxiv_source observed=2026-08-10T04:21:20.323577Z digest=sha256:74adb347490b5318e6333bd19e20eb0963876d7a8adad2a57c6ffc7c901a563c

Observation d4438d72-2036-409f-acc6-1044dec366cb · outbound

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

TaskSense: Focusing on What Matters in World Models Advances in Neural Information Processing Systems , volume=

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 4f567f88-4c73-4ec4-b4e8-268c50d6b30c · outbound

This paper cites CURL: Contrastive Unsupervised Representations for Reinforcement Learning.

TaskSense: Focusing on What Matters in World Models CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 4

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source=arxiv_source observed=2026-08-10T04:21:20.334556Z digest=sha256:85bb6b4c1d8a42d0aae0253486f66b9d2dcce2853cb81b01a9aaef0884672c50

Observation e1f9b8a2-ccfa-4a61-b905-32c52e645684 · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

TaskSense: Focusing on What Matters in World Models Temporal Difference Learning for Model Predictive Control

Reference 5

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source=arxiv_source observed=2026-08-10T04:21:20.339786Z digest=sha256:93947189e41ad7ef16102a7de20c1a360b3e2ba3532b49d341ee75c94018dad7

Observation 9c124f22-d6b5-48c4-9457-f77b361c0210 · outbound

This paper cites Nature , volume=.

TaskSense: Focusing on What Matters in World Models Nature , volume=

Reference 6

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Observation 598dd703-9069-434e-a509-d80dca1144a7 · outbound

This paper cites Learning Invariant Representations for Reinforcement Learning without Reconstruction.

TaskSense: Focusing on What Matters in World Models Learning Invariant Representations for Reinforcement Learning without Reconstruction

Reference 7

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Observation 644d7c9e-273d-4df7-a7ff-adbdc3bf6f5b · outbound

This paper cites Mastering Atari with Discrete World Models.

TaskSense: Focusing on What Matters in World Models Mastering Atari with Discrete World Models

Reference 8

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Observation 5592443c-77c2-47b9-a5b0-786961428b32 · outbound

This paper cites Transformers are Sample-Efficient World Models.

TaskSense: Focusing on What Matters in World Models Transformers are Sample-Efficient World Models

Reference 9

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Observation d3cc9338-6b1e-4ab0-a1a0-fb419b7eb491 · outbound

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

TaskSense: Focusing on What Matters in World Models Advances in Neural Information Processing Systems , volume=

Reference 10

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Source-reported events for the cited work

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

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Observation 44b85895-3308-4054-8c74-616ef4239792 · outbound

This paper cites Proceedings of SSST-8, eighth workshop on syntax, semantics and structure in statistical translation , pages=.

TaskSense: Focusing on What Matters in World Models Proceedings of SSST-8, eighth workshop on syntax, semantics and structure in statistical translation , pages=

Reference 11

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.369563Z digest=sha256:5c93c0df4985d9722eebc933e584da5c6f9216da58e76d3cbd63dec889c4832f

Observation 0d6c1a78-86ae-4a95-8a93-10b35753fcd3 · outbound

This paper cites nature , volume=.

TaskSense: Focusing on What Matters in World Models nature , volume=

Reference 12

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Observation 71f9e664-e9f6-4391-b622-a4a6f73fcb42 · outbound

This paper cites Proceedings of the aaai conference on artificial intelligence , volume=.

TaskSense: Focusing on What Matters in World Models Proceedings of the aaai conference on artificial intelligence , volume=

Reference 13

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.378880Z digest=sha256:e11cfb909733976918a8c7be56e40974ce90c8fd32018d0cb0263efc0ee0a74c

Observation 74f8d01f-455b-4371-8215-dac9f2fd2a72 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation , journal =.

TaskSense: Focusing on What Matters in World Models The 2017 DAVIS Challenge on Video Object Segmentation , journal =

Reference 14

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 48aecb7b-58ad-4fdc-bbbc-60259c62b69d · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

TaskSense: Focusing on What Matters in World Models Proceedings of the IEEE international conference on computer vision , pages=

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T04:21:21.278893Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.387909Z digest=sha256:4887398b16076e448ab78f0d1cf61f532ad15c5ca345d7cc185238570a536fb3

Observation 821add74-a10f-4c3f-9f09-43bb97ca7422 · outbound

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

TaskSense: Focusing on What Matters in World Models International Conference on Machine Learning , pages=

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T04:21:21.260905Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.392368Z digest=sha256:a872e6911eddf489730fa687d13c53106cfa3e33f09cfefc6fc0fd76f8566e2b

Observation fa6bd076-424b-454b-bd84-89e4193e9761 · outbound

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

TaskSense: Focusing on What Matters in World Models Advances in neural information processing systems , year=

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-10T04:21:21.243091Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.396625Z digest=sha256:a285f93f21c9f257f20a45879102d516b0bca0ff5452f845caf8d5e51fd9a2c6

Observation 9edada14-d3d7-490d-8927-13f5907a655e · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

TaskSense: Focusing on What Matters in World Models D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 18

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Observation c5490981-e197-497a-b9c3-9ff994b3c9c2 · outbound

This paper cites Rethinking Full Connectivity in Recurrent Neural Networks.

TaskSense: Focusing on What Matters in World Models Rethinking Full Connectivity in Recurrent Neural Networks

Reference 19

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Observation dc88a8ba-8550-44f3-a10b-da2d551ccf70 · outbound

This paper cites Provable RL with Exogenous Distractors via Multistep Inverse Dynamics.

TaskSense: Focusing on What Matters in World Models Provable RL with Exogenous Distractors via Multistep Inverse Dynamics

Reference 20

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Observation 86b95898-84a5-4e93-85f3-27aa093e14c0 · outbound

This paper cites Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models.

TaskSense: Focusing on What Matters in World Models Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Reference 21

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Observation f4cbfe08-29f9-4a48-8c04-80773dba5ccb · outbound

This paper cites International conference on learning representations , year=.

TaskSense: Focusing on What Matters in World Models International conference on learning representations , year=

Reference 22

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.420402Z digest=sha256:b3731ce02cd7cd891e689e71c308451f4f8e7e56165b8b98d5b87fa6611be71a

Observation ff768f15-bfbc-4b68-9728-0f86ef9e8d6c · outbound

This paper cites Conference on Robot Learning , pages=.

TaskSense: Focusing on What Matters in World Models Conference on Robot Learning , pages=

Reference 23

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Observation 99274f1f-7d1a-47a1-bea6-8717f1fc9784 · outbound

This paper cites Loss is its own Reward: Self-Supervision for Reinforcement Learning.

TaskSense: Focusing on What Matters in World Models Loss is its own Reward: Self-Supervision for Reinforcement Learning

Reference 24

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Observation 2d9b85d0-3e51-4c48-9d16-02081fd36bad · outbound

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

TaskSense: Focusing on What Matters in World Models International conference on machine learning , pages=

Reference 25

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Observation 67c5a02d-dcd8-4854-80ed-3554f85f1854 · outbound

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

TaskSense: Focusing on What Matters in World Models Advances in neural information processing systems , volume=

Reference 26

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no resolver link, observed 2026-08-10T04:21:20.439525Z

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source=arxiv_source observed=2026-08-10T04:21:20.439525Z digest=sha256:c7acf9ac87d2e30b6dcb129f1e7cf70820bd602f24a9816438a192fecbd52fd5

Observation f69beb38-5e57-4822-8c54-577c36017f64 · outbound

This paper cites Learning Latent Dynamic Robust Representations for World Models.

TaskSense: Focusing on What Matters in World Models Learning Latent Dynamic Robust Representations for World Models

Reference 27

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Observation cfb177bf-f275-4f4f-8db3-77fe1a201616 · outbound

This paper cites SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels.

TaskSense: Focusing on What Matters in World Models SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels

Reference 28

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Observation 40566d2a-0a4d-41e1-9c1a-19397f94ea9f · outbound

This paper cites ACM Sigart Bulletin , volume=.

TaskSense: Focusing on What Matters in World Models ACM Sigart Bulletin , volume=

Reference 29

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Observation 3f214913-4e11-4365-b992-8c178d4a3865 · outbound

This paper cites World Models.

TaskSense: Focusing on What Matters in World Models World Models

Reference 30

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Observation 61c8dca5-f514-4456-8160-256e7957d7ca · outbound

This paper cites Mastering Diverse Domains through World Models.

TaskSense: Focusing on What Matters in World Models Mastering Diverse Domains through World Models

Reference 31

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Observation 8a3be207-cc0e-4760-9810-3dcbbd26c621 · outbound

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

TaskSense: Focusing on What Matters in World Models International conference on machine learning , pages=

Reference 32

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source=arxiv_source observed=2026-08-10T04:21:20.469344Z digest=sha256:d461bf55d65a1752cc292648e4a0880c793d5fe2531baa2d127e2e73de9df139

Observation 5ebca4ec-ff3a-463b-aeea-a0187a746460 · outbound

This paper cites Learning Transformer-based World Models with Contrastive Predictive Coding.

TaskSense: Focusing on What Matters in World Models Learning Transformer-based World Models with Contrastive Predictive Coding

Reference 33

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Observation ebd258ec-d475-4b95-b9b0-5e014e075930 · outbound

This paper cites Nature , volume=.

TaskSense: Focusing on What Matters in World Models Nature , volume=

Reference 34

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source=arxiv_source observed=2026-08-10T04:21:20.479570Z digest=sha256:deb9daf5512cafc2948b2aa87358eeb2d4ca387c5cb92c2ad4c4ef60097932cc

Observation 0313ff84-bba8-4561-864f-ffd2c45bd2c2 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

TaskSense: Focusing on What Matters in World Models The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 35

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Observation dc378637-ab26-4252-8f84-6bea917e9480 · outbound

This paper cites DeepMind Control Suite.

TaskSense: Focusing on What Matters in World Models DeepMind Control Suite

Reference 36

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source=arxiv_source observed=2026-08-10T04:21:20.489148Z digest=sha256:8efdebb252a3d6018ddb9df6ca15acbbffbea077d2df35143a52b0922b7e4819

Observation a0ae7e1b-a464-413e-a0be-0d6ab998ab83 · outbound

This paper cites Journal of artificial intelligence research , volume=.

TaskSense: Focusing on What Matters in World Models Journal of artificial intelligence research , volume=

Reference 37

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source=arxiv_source observed=2026-08-10T04:21:20.494092Z digest=sha256:be861a504b241499145a58cbfe3e4f3222dd2406d0c0adfecbc538ee1bf2256a

Observation d8571a63-3d3d-4c08-81bd-a7ac0fbc4203 · outbound

This paper cites The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels.

TaskSense: Focusing on What Matters in World Models The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.498921Z digest=sha256:244d0602862bf173266cff3a59c88b16db33a201d73c8fbbc536c657dd04524c

Observation 21f032bb-8ccd-4f04-80a2-27075ba65db0 · outbound

This paper cites arXiv preprint arXiv:2603.18202 , year=.

TaskSense: Focusing on What Matters in World Models arXiv preprint arXiv:2603.18202 , year=

Reference 39

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no resolver link, observed 2026-08-10T04:21:20.504119Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.504119Z digest=sha256:b2879201f1d750c7d0c618e89fbc6447fbecea280d7613bf2ffd96e4b84785af

Observation 6fb209f9-baca-4c89-83f8-472aab110e24 · outbound

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

TaskSense: Focusing on What Matters in World Models International conference on machine learning , pages=

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T04:21:21.118857Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.508653Z digest=sha256:ab23508ce0555dbe1088497b751ee2809327651e6ffbeca1ac987c104f81f338

Observation 2b5e63f2-cb1c-4b51-849a-46371eb53c60 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

TaskSense: Focusing on What Matters in World Models Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 41

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unresolved
no resolver link, observed 2026-08-10T04:21:20.513474Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.513474Z digest=sha256:8980672b1e17f1360ffbcc80c1d6a979138d0464e16f8f3e5d232189eaf40c9d

Observation f627ff9b-fcb6-448e-b983-09b401a1ad24 · outbound

This paper cites Classification Problem Solving.

TaskSense: Focusing on What Matters in World Models Classification Problem Solving

Reference 42

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unresolved
no resolver link, observed 2026-08-10T04:21:20.517841Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.517841Z digest=sha256:7e841c1390076a60e425fa696b4ee39f3040787bc9c8f89688d3c06a3d15f3f3

Observation 893b7363-c003-4230-8de7-179a6c5dff0a · outbound

This paper cites , title =.

TaskSense: Focusing on What Matters in World Models , title =

Reference 43

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unresolved
no resolver link, observed 2026-08-10T04:21:20.521965Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.521965Z digest=sha256:34dcf1001e06d5896e21bf763df5da16f04fe594f9c3e8f4e143cc0ece274cfe

Observation cd53a1b3-bd7e-401c-b13d-94fcc189edeb · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

TaskSense: Focusing on What Matters in World Models New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 44

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unresolved
no resolver link, observed 2026-08-10T04:21:20.525897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.525897Z digest=sha256:46b3a3bfbb69d6123f7800956b1692cf84ea2bd43123d36fe90446f54f009b73

Observation ef874fd1-aeda-42d7-9a67-e93872ac6865 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

TaskSense: Focusing on What Matters in World Models Clancey and Glenn Rennels , abstract =

Reference 45

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unresolved
no resolver link, observed 2026-08-10T04:21:20.529843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.529843Z digest=sha256:233874a65d49561ad8249307863c518df4269fa0983f0e06306699fb5d9d294f

Observation 02a4b242-2747-4fd8-bf96-33dd7dc718f7 · outbound

This paper cites and Rennels, Glenn R.

TaskSense: Focusing on What Matters in World Models and Rennels, Glenn R

Reference 46

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unresolved
no resolver link, observed 2026-08-10T04:21:20.534402Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.534402Z digest=sha256:4ad932f8c0eec18ab81b08504c8a2a6227968afa4409f9771fddfb288da052ed

Observation 1e7013f6-d6c9-483e-9aab-e2f36636b303 · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

TaskSense: Focusing on What Matters in World Models Poligon: A System for Parallel Problem Solving

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T04:21:20.538367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.538367Z digest=sha256:f801719abb728d4541afadb46036c0e07cc196e448befd5c4705ce35f7003201

Observation 4c5df7b1-8136-4d7a-b3f6-4574f4fe37cd · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

TaskSense: Focusing on What Matters in World Models Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 48

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unresolved
no resolver link, observed 2026-08-10T04:21:20.542492Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.542492Z digest=sha256:22b4ff7d78567e3f895b82d5cbb418d7a731c2d8c0c00a6fbac1a9b641d7e822

Observation fb3dd647-68d9-41a5-b9f1-94ffab984711 · outbound

This paper cites The Engineering of Qualitative Models.

TaskSense: Focusing on What Matters in World Models The Engineering of Qualitative Models

Reference 49

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no resolver link, observed 2026-08-10T04:21:20.546676Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.546676Z digest=sha256:3cb591474e4c80a9e8fcb38ebfbe3c2198f66a277ce81d07273ea14a30249376

Observation 869cd5e3-d60c-4542-b9e9-af8071305bcf · outbound

This paper cites 2023 , eprint=.

TaskSense: Focusing on What Matters in World Models 2023 , eprint=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T04:21:20.550727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.550727Z digest=sha256:0bdc1562947af05ca8db28227d5721c6205371772971a56a291ae952bfa6210e

Observation f69548f0-eccb-4675-bc04-027eef1911dc · outbound

This paper cites Pluto: The 'Other' Red Planet.

TaskSense: Focusing on What Matters in World Models Pluto: The 'Other' Red Planet

Reference 51

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unresolved
no resolver link, observed 2026-08-10T04:21:20.555798Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:21:20.555798Z digest=sha256:75b07be9b5a07dbcf4bd861fb1b2d8472d8bffbfe1d326e207dc85c0bdc3215e

Pith citing papers

No inbound Pith citation observations are available.