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Paper Citation Record · LEDGER

TaskSense: Focusing on What Matters in World Models

As of 10 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 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

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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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:bd085753b89a4d0e2d8079ec335ad361258f56ea482239743306528941500a94

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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Source-reported events for the cited work

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

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Observation 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=sha256:86c8b3d3d8c48cc95d56712547bacd61a3e3ac17f10accdf322a6ddc5736914b

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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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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source=arxiv_source observed=2026-08-10T04:21:20.354985Z digest=sha256:d84bb3b8f7b4b84a67595e566feabb01a3744ee849b6936efb31b3843a67ed82

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

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

source=arxiv_source observed=2026-08-10T04:21:20.369563Z digest=sha256:110a23445e6e8f8ee593bfb30067c2da4a35b726de1b67855564963afef66556

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

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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
raw_fallback, observed 2026-08-10T04:21:21.295700Z

Source-reported events for the cited work

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

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Observation 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
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T04:21:20.387909Z digest=sha256:32fa5aa289c3c66fe04a7785da456fb58572c1c28ed2be768caae80d49c2b4aa

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

source=arxiv_source observed=2026-08-10T04:21:20.392368Z digest=sha256:beca13daee573c69337989172ed9df85dd40a71a04388cf0432d08fba9f622d6

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

source=arxiv_source observed=2026-08-10T04:21:20.396625Z digest=sha256:31273f246a261c998690338cbc14f706a9c3fde7353c77f4b5e1a10dcb4ba4ba

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

source=arxiv_source observed=2026-08-10T04:21:20.420402Z digest=sha256:69601436e072ae4f7ad9bee6fa237541671f48b080876189cd483daf3caa1559

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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source=arxiv_source observed=2026-08-10T04:21:20.439525Z digest=sha256:c9b64ef8a1f2c1c1a7ebd3fbf1e3c26f62012a5f65242f7b66ac5d0025b4688e

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:ba0f6f45b7d396a72f63324357d486e7be650b1e86de4e622134d4159bf7f7aa

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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source=arxiv_source observed=2026-08-10T04:21:20.474515Z digest=sha256:aff9011ee7334692ea777e54d39f66be54154e7e408fd127cc51642c956de07a

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=sha256:13b1dc1407b20153aaceea8a00920cfb6a37a356eec8cf80fccd26a1d1c9450b

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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source=arxiv_source observed=2026-08-10T04:21:20.484298Z digest=sha256:2d9b69208ab58400a3627df40a61b18264b73891be7d4e238e76cdec3e7e05cd

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=sha256:5d525cc46057e95f0958ffb4b1e7d81a46c35246fce9d9ae1cbfb0303c82290d

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:ae20a413cff53715fc5a50cd562dae23f61b75cbc03ad3ba20bea970dfbadbb1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.498921Z digest=sha256:14103b0130997f0241151494f2af77014cc09095b70faf74dec4ddfa124540d1

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=sha256:4c0e9e061323239573fecc7950e36b94995f8fa13aa07d09d7e380ef8b51ddb8

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

source=arxiv_source observed=2026-08-10T04:21:20.508653Z digest=sha256:02f218b83609b83208b68d840c04156746a5e060833590872401975039caff22

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=sha256:9995c45dc5f6461e15037655adefb0ffed8bdc843a78019d2868a8ac3cf1b4c6

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=sha256:1cd951016afdf927ae49ebd4da9e573c40d1be7a1cf1ac140ed06d4655fac668

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:c7a7874dca72778b290d1846709f3581c63494b881ec821ebd302edf9f051bd4

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:c71d149bc4fa03e1ecba141ef626f757d507d5b2b6da20cb32c00b001aee8bd0

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=sha256:9665b75c3e405d51f85cd33c57b2c00d261ee0b96369094988ecf9bd36c5e84c

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.534402Z digest=sha256:72c6234597cab1687b01d7f8549b229691f4903c0600c95e0391f3848cf93d01

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=sha256:1275c58a0bb13b59cc66936e768a39f82e286cac9ab2485c79835c83f1185bbc

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:b9783fae3e7f4c040cc559fe221e2a505d16154c6bf8ddf3ea2cfa813b9f322f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:21:20.546676Z digest=sha256:c707f554f81deb9a5d083ebea4aa395e813a0d63a45b8475c08d5179b31fcdf5

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

This paper cites 2023 , eprint=.

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

Reference 50

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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=sha256:2ab4f7ecca0ff9366fb079d75d1459f895e0b7503206226515c909bedc0d57c2

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:f84129c6494764e0a811d5b7c701e5e1736465601e0ecffb05c3364a26daddcc

Pith citing papers

No inbound Pith citation observations are available.