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Paper Citation Record · LEDGER

Improving Transformer World Models for Data-Efficient RL

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 3 inbound Pith citation observations for arXiv:2502.01591.

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

pith.paper-citation-record.v1
2502.01591 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:59:45.079391Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:30:24.081678Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dfa283a0-635e-4dd5-8cd6-a9fa73fe8e0e · outbound

This paper cites Agarwal, S.

Improving Transformer World Models for Data-Efficient RL Agarwal, S

Reference 1

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raw_fallback, observed 2026-08-09T14:59:45.758292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.858579Z digest=sha256:aecb2bcc4ea8532539dfb42954f7a22bbed54c1c27050ead31c76fd5adfffb70

Observation e4d8943a-4315-40fc-8b98-c246a4470608 · outbound

This paper cites Alonso, A.

Improving Transformer World Models for Data-Efficient RL Alonso, A

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.862711Z digest=sha256:f596f81cadc569b80612c10da55d57c918a414745994c391fc4f54c8ce5376cc

Observation c426f497-a6cc-4c2b-a344-b33114a5ef1f · outbound

This paper cites Alver and D.

Improving Transformer World Models for Data-Efficient RL Alver and D

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.865974Z digest=sha256:bd60646e096e641928ce5973e3e67e304ec62325fd178d5bff12c4911b3fe7c0

Observation 01db54aa-4001-41d2-bf02-9e27befcae8f · outbound

This paper cites Layer Normalization.

Improving Transformer World Models for Data-Efficient RL Layer Normalization

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T14:59:44.869153Z digest=sha256:50631a54645ee8a69fe3d5d08ec9f0b99145f7ad5f9dfa37702ec9364b316de6

Observation 941a6a32-5a4a-4cf8-af52-d626bfb462fd · outbound

This paper cites Bradbury, R.

Improving Transformer World Models for Data-Efficient RL Bradbury, R

Reference 5

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source=arxiv_source observed=2026-08-09T14:59:44.873149Z digest=sha256:10bcdf2e4fefce33d913e17186bad96c37e10868013dfa488cfcb54b9559819e

Observation 002db225-b318-4c71-8a9c-38014b721503 · outbound

This paper cites Chen, Y.-F.

Improving Transformer World Models for Data-Efficient RL Chen, Y.-F

Reference 6

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raw_fallback, observed 2026-08-09T14:59:45.727322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.877098Z digest=sha256:61eb4c71f923afd1c05a7db2954c28ad73b8752ba6ab7d33c65b975332d0a9ac

Observation 11d1734d-1ebc-49ec-b213-17073d9f3b4b · outbound

This paper cites Improving Token-Based World Models with Parallel Observation Prediction.

Improving Transformer World Models for Data-Efficient RL Improving Token-Based World Models with Parallel Observation Prediction

Reference 7

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source=arxiv_source observed=2026-08-09T14:59:44.881062Z digest=sha256:20ac71b1537e174f1fdea5b88f11bca588dfd158b0fb0b5bbbee74a61f572375

Observation bc21af02-f6c4-4c39-ac26-b464ee5819ff · outbound

This paper cites Simulus: Combining Improvements in Sample-Efficient World Model Agents.

Improving Transformer World Models for Data-Efficient RL Simulus: Combining Improvements in Sample-Efficient World Model Agents

Reference 8

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source=arxiv_source observed=2026-08-09T14:59:44.885314Z digest=sha256:66e6dae9cfcd29b7ab17013535a6ad40d15032b0c4d06ca2bcc0169d03af7227

Observation 07cf852c-c1e0-4d57-86c9-8f4b1fb40acc · outbound

This paper cites Espeholt, H.

Improving Transformer World Models for Data-Efficient RL Espeholt, H

Reference 9

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raw_fallback, observed 2026-08-09T14:59:45.718516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.889431Z digest=sha256:c55f641b432b8d3a64cd2acf6091af876bb771d859f6147384c2d13618e520f3

Observation 7b6448bd-f85c-4596-aed0-d3ee345792f5 · outbound

This paper cites Espeholt, H.

Improving Transformer World Models for Data-Efficient RL Espeholt, H

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.894532Z digest=sha256:45f51c2e1df7a7a7417a7232d40b4ebf4ce8d82d83bc6e4dd7b7096409a5e226

Observation 0c7e91e8-fdbd-43a7-9495-98f304dc3358 · outbound

This paper cites Farebrother, J.

Improving Transformer World Models for Data-Efficient RL Farebrother, J

Reference 11

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raw_fallback, observed 2026-08-09T14:59:45.700266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.897466Z digest=sha256:68271219d63ee15256eaef330985cf07c820fe8a7e74fee84c504d17e241eff7

Observation ec207acc-8169-48ce-a6b1-78bad187d2eb · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.901188Z digest=sha256:2240b0c94ecaf066d2e38f3430d72b9a993deb50c0917c2e18ba8c2a071fc789

Observation 1815928e-21d3-454e-bb9f-e2f485fae874 · outbound

This paper cites World Models.

Improving Transformer World Models for Data-Efficient RL World Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:59:44.904008Z digest=sha256:d33c147f2db80ffee0643d051a955e4a8a2d5674ceac5101f1e3c13f2145019b

Observation f957dbe6-5858-4c30-9850-a17ac2cef950 · outbound

This paper cites Ha and J.

Improving Transformer World Models for Data-Efficient RL Ha and J

Reference 14

Resolution
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raw_fallback, observed 2026-08-09T14:59:45.681200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.907454Z digest=sha256:e59df3ed6c1c4191e69c969260e0f8ba72fd9abaf109b11880333bb399d3f09c

Observation 1b4d7779-3cc1-4ea8-9941-d73cb98bcc66 · outbound

This paper cites Benchmarking the Spectrum of Agent Capabilities.

Improving Transformer World Models for Data-Efficient RL Benchmarking the Spectrum of Agent Capabilities

Reference 15

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no resolver link, observed 2026-08-09T14:59:44.910426Z

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source=arxiv_source observed=2026-08-09T14:59:44.910426Z digest=sha256:d5b2acfdd30ceba537575a5ea4dc67e31e381baa38062ea5b629f9ea7f5acf1c

Observation 5ddfdfb2-35c4-422f-9a6d-48a030643a32 · outbound

This paper cites Hafner, T.

Improving Transformer World Models for Data-Efficient RL Hafner, T

Reference 16

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raw_fallback, observed 2026-08-09T14:59:45.672317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.914093Z digest=sha256:067939a2c181a8d1624c59a388ba53baf369bd6bdfc863f16b790ada00761aa9

Observation 7c953599-b584-41ce-831f-4484609e62da · outbound

This paper cites Mastering Atari with Discrete World Models.

Improving Transformer World Models for Data-Efficient RL Mastering Atari with Discrete World Models

Reference 17

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source=arxiv_source observed=2026-08-09T14:59:44.917884Z digest=sha256:4be903d66cd12a68d3c8fb4d1c95c3a62f864134b87cd28faf6531f6069781b2

Observation bf95e2a2-7170-438e-aced-d97cc024759c · outbound

This paper cites Mastering Diverse Domains through World Models.

Improving Transformer World Models for Data-Efficient RL Mastering Diverse Domains through World Models

Reference 18

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source=arxiv_source observed=2026-08-09T14:59:44.922822Z digest=sha256:01b0f29d76a60ab6fe5847da14ed1bbdd3be32f500895757b3918aa570d8863e

Observation 5ee67f37-e392-4b4f-a8c5-2820028b2990 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Improving Transformer World Models for Data-Efficient RL TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 19

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source=arxiv_source observed=2026-08-09T14:59:44.926429Z digest=sha256:6fbc4b63c976314d7a6ccb6eb41b522b37fe44f05092ecff66b99e531de5a3eb

Observation 32aa4010-9698-4470-9784-433df95d4ae8 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-09T14:59:44.930667Z digest=sha256:430441b58a0813643a941ecb8a351770838182a734c59358d96e2b75d63aa5c9

Observation 849d8098-4fc9-4517-96f4-27ea60736fbe · outbound

This paper cites Rainbow: Combining Improvements in Deep Reinforcement Learning.

Improving Transformer World Models for Data-Efficient RL Rainbow: Combining Improvements in Deep Reinforcement Learning

Reference 21

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source=arxiv_source observed=2026-08-09T14:59:44.934648Z digest=sha256:60117496647fdda00b561aeb49373e6356ab1edaf807aa72fcca1ca075bc018f

Observation 2fca3fc6-f685-4b7a-ad11-f80501bac7e4 · outbound

This paper cites The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces.

Improving Transformer World Models for Data-Efficient RL The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces

Reference 22

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source=arxiv_source observed=2026-08-09T14:59:44.938769Z digest=sha256:0e6ed689794d3038ae6edde40e5f357ec31e221233b3fc59a1cac941a8c37a06

Observation e52c3430-cdc7-4720-8cfb-ec8371b96561 · outbound

This paper cites Ioffe and C.

Improving Transformer World Models for Data-Efficient RL Ioffe and C

Reference 23

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source=arxiv_source observed=2026-08-09T14:59:44.941900Z digest=sha256:700cb865eb0c731d1a80c936d37aeb64696436070b81caafcc2ed9f8f6ca99ba

Observation e542d558-60b8-488d-9e9d-83af63f371dc · outbound

This paper cites Model-Based Reinforcement Learning for Atari.

Improving Transformer World Models for Data-Efficient RL Model-Based Reinforcement Learning for Atari

Reference 24

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source=arxiv_source observed=2026-08-09T14:59:44.944797Z digest=sha256:c1dfe3929907ce6986e7cb22e695c792fb0c053083e5bd2bcbffcf0733641d49

Observation 1a291ea6-a978-4622-954f-3553f3cbaae1 · outbound

This paper cites Kapturowski, G.

Improving Transformer World Models for Data-Efficient RL Kapturowski, G

Reference 25

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source=arxiv_source observed=2026-08-09T14:59:44.948252Z digest=sha256:4455a9bd34bb224a510dee298f98829759be57a7d2513a4b2e4d7219947c790d

Observation 966a1db0-3df7-4c8d-9588-48cccfaf8b49 · outbound

This paper cites Curious Replay for Model-based Adaptation.

Improving Transformer World Models for Data-Efficient RL Curious Replay for Model-based Adaptation

Reference 26

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source=arxiv_source observed=2026-08-09T14:59:44.951556Z digest=sha256:ee6c9b959fc283c37b889729c4b19b321e0d2154e8ec3d525258c8aaef03afb5

Observation 2e7f64ec-2703-41e6-8cfb-c3a194f3db3f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Improving Transformer World Models for Data-Efficient RL Adam: A Method for Stochastic Optimization

Reference 27

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source=arxiv_source observed=2026-08-09T14:59:44.954717Z digest=sha256:6ab3853ccb45bd8e21b0a38b980df67d869fa6d13942453c1234c9bee093fbc6

Observation 213175c7-ce05-4e8f-8056-2fbe8e6f0317 · outbound

This paper cites Investigating Compounding Prediction Errors in Learned Dynamics Models.

Improving Transformer World Models for Data-Efficient RL Investigating Compounding Prediction Errors in Learned Dynamics Models

Reference 28

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source=arxiv_source observed=2026-08-09T14:59:44.957914Z digest=sha256:da55236f8bd7bf7879feeb8f2d76e10c24774a5304621992cbc4f531067d5612

Observation 881ca434-ad1c-4149-a76a-9542a3c56817 · outbound

This paper cites OpenSpiel: A Framework for Reinforcement Learning in Games.

Improving Transformer World Models for Data-Efficient RL OpenSpiel: A Framework for Reinforcement Learning in Games

Reference 29

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source=arxiv_source observed=2026-08-09T14:59:44.961137Z digest=sha256:544c1f3b69517ab8edc86d0c969313df114a5270a8119dd6fba5bd3ddf1a916b

Observation 0d2dcd4c-cced-4abe-a1c0-d6bde94bc603 · outbound

This paper cites Lei Ba, J.

Improving Transformer World Models for Data-Efficient RL Lei Ba, J

Reference 30

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raw_fallback, observed 2026-08-09T14:59:45.648205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.965206Z digest=sha256:7d47325324c76ed78816407b28ed581fdb60b2b58aedafc69a5cfef3721d2116

Observation b0d048f8-8bf4-46fd-93a5-a5fbc4774009 · outbound

This paper cites Deal or No Deal? End-to-End Learning for Negotiation Dialogues.

Improving Transformer World Models for Data-Efficient RL Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Reference 31

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no resolver link, observed 2026-08-09T14:59:44.968327Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:59:44.968327Z digest=sha256:4e1bd8d8ff4b863e10a7cac4c564ca216a117c92824b8dd78c19a3c73a5545f1

Observation 80178298-0ce2-4efe-8857-bb77cc734f3d · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-09T14:59:44.971598Z digest=sha256:ffd0ef4ac63ab444ba46a3440e798808f053e23aeb1089752a1b7b517f4bbe87

Observation 2d4fc9f9-6de3-439a-8b2c-7d070d4674af · outbound

This paper cites Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.

Improving Transformer World Models for Data-Efficient RL Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 33

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source=arxiv_source observed=2026-08-09T14:59:44.974594Z digest=sha256:73c7807d82ac9c93fa8b73991817f5a0ab726828a2d48033b79237440b992bcf

Observation df12cee0-1c25-402c-987f-717774acf3fd · outbound

This paper cites Transformers are Sample-Efficient World Models.

Improving Transformer World Models for Data-Efficient RL Transformers are Sample-Efficient World Models

Reference 34

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source=arxiv_source observed=2026-08-09T14:59:44.978570Z digest=sha256:d424870ea73a581a962dde1198d38956d4670ad5fb3aab18a048e3db61c02328

Observation 886499cb-21cc-4827-b210-da9572c21fd4 · outbound

This paper cites Efficient World Models with Context-Aware Tokenization.

Improving Transformer World Models for Data-Efficient RL Efficient World Models with Context-Aware Tokenization

Reference 35

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source=arxiv_source observed=2026-08-09T14:59:44.982083Z digest=sha256:4c80a9d735f52f54590a23df7818f141b9c67979e6d3efcee6430f89ab18d239

Observation 7a53d559-47bd-4eee-ae9c-6a84e42b2f09 · outbound

This paper cites Mirzasoleiman, J.

Improving Transformer World Models for Data-Efficient RL Mirzasoleiman, J

Reference 36

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raw_fallback, observed 2026-08-09T14:59:45.633799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.986118Z digest=sha256:6cb0494317c9e44ad3696d21a9939362bdc993f9b17d6817d4081d485eb00e03

Observation acf57ae0-2144-4c3b-8141-be2b610886fc · outbound

This paper cites Model-based Reinforcement Learning: A Survey.

Improving Transformer World Models for Data-Efficient RL Model-based Reinforcement Learning: A Survey

Reference 37

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source=arxiv_source observed=2026-08-09T14:59:44.989171Z digest=sha256:a555ecfaef0dc39d07098b02f90341eb6efb9992e666f35f8bf5288dac07ff7b

Observation 7590cbc3-4c1c-42d4-ac86-aa24ec8d2813 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 38

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:44.992389Z digest=sha256:eaf23b3285fd6d55980444c15a104f2d1c2c22d0f110a73445c086ec6b2b5bbd

Observation 68f034a8-5f93-466e-b36b-e99ffc0ca776 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-08-09T14:59:44.995377Z digest=sha256:ac1ebf9f3dd5a8d885e2134275c7f5f71594242e1aa14cde20fca2aa7bf2c690

Observation cfd0025f-e6c3-4433-adbf-41ade8207f19 · outbound

This paper cites Bridging State and History Representations: Understanding Self-Predictive RL.

Improving Transformer World Models for Data-Efficient RL Bridging State and History Representations: Understanding Self-Predictive RL

Reference 40

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source=arxiv_source observed=2026-08-09T14:59:44.999274Z digest=sha256:8b331b8257a14030e09ee11b491c7f9b5fb7b49d687b370afc4b16359e4361b8

Observation 3d791693-b3e7-46f6-b8f3-44e74ed43777 · outbound

This paper cites Awesome Model-Based Reinforcement Learning.

Improving Transformer World Models for Data-Efficient RL Awesome Model-Based Reinforcement Learning

Reference 41

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raw_fallback, observed 2026-08-09T14:59:45.615616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.003651Z digest=sha256:c2df3512c3d630591348ee539285101a2a4d3240e6eae4836e7eb43361368169

Observation fbc4e61f-164d-4816-9e01-e1fbb62e33c5 · outbound

This paper cites Oquab, T.

Improving Transformer World Models for Data-Efficient RL Oquab, T

Reference 42

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raw_fallback, observed 2026-08-09T14:59:45.491602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.008209Z digest=sha256:91701e616bf502525aae367b025ad66acf7d3ab83c6c4afe7728b9244c15ac43

Observation 6b4e26e4-2484-418a-ac69-46b034b85319 · outbound

This paper cites Radford, J.

Improving Transformer World Models for Data-Efficient RL Radford, J

Reference 43

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source=arxiv_source observed=2026-08-09T14:59:45.012269Z digest=sha256:43ad4bfc7022bb8a11060c2286de8863ff83a69f7117d6e5c80aee32dcb90313

Observation 3f9d05b5-ed2f-40c3-ae7c-3b070ce164b8 · outbound

This paper cites Searching for Activation Functions.

Improving Transformer World Models for Data-Efficient RL Searching for Activation Functions

Reference 44

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source=arxiv_source observed=2026-08-09T14:59:45.015426Z digest=sha256:4de19026717bea43ee938de6afa3fe58fd990275898ad02a0eaf683c1b3ff39e

Observation c5cd056d-0d66-47c3-994a-9a9b2d506a91 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Improving Transformer World Models for Data-Efficient RL SAM 2: Segment Anything in Images and Videos

Reference 45

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source=arxiv_source observed=2026-08-09T14:59:45.018866Z digest=sha256:ffdc222e8b5d5a2b6543bca8e53e899522c45d8353c7de4cd558e6d74fc5870f

Observation d7f72b8b-d687-4081-8927-791ce190731a · outbound

This paper cites Transformer-based World Models Are Happy With 100k Interactions.

Improving Transformer World Models for Data-Efficient RL Transformer-based World Models Are Happy With 100k Interactions

Reference 46

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source=arxiv_source observed=2026-08-09T14:59:45.022281Z digest=sha256:b9cd7c8ab0212e235871c2faff3994d1e83996f0d8cbe94c41f539d750512379

Observation 658e07b5-7509-4ef1-9ef7-d61e56598df1 · outbound

This paper cites Schrittwieser, I.

Improving Transformer World Models for Data-Efficient RL Schrittwieser, I

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-09T14:59:45.475883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.025849Z digest=sha256:42777ec2a222d32420719941de54ac51645c7b49bcd20e8d26d678b9cec6fd61

Observation 59e4ed2c-1d50-4d06-95aa-cbd849d4b414 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Improving Transformer World Models for Data-Efficient RL High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 48

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source=arxiv_source observed=2026-08-09T14:59:45.028928Z digest=sha256:cc67acaa4b57567e3670804a2e796fbadd0f469b9e835aaeb2c753aff07b962d

Observation 769d3490-cb47-4ab2-afa5-8672e22be25a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Improving Transformer World Models for Data-Efficient RL Proximal Policy Optimization Algorithms

Reference 49

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source=arxiv_source observed=2026-08-09T14:59:45.032360Z digest=sha256:7ab78e211400a91af684cb9325a22abaaa4e63bda5a5dfe91ec48f1e35a14b14

Observation 052ab2dc-06d2-4764-95ba-ddd630e532aa · outbound

This paper cites Bigger, Better, Faster: Human-level Atari with human-level efficiency.

Improving Transformer World Models for Data-Efficient RL Bigger, Better, Faster: Human-level Atari with human-level efficiency

Reference 50

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source=arxiv_source observed=2026-08-09T14:59:45.036007Z digest=sha256:6cc415c19e68f8420fea3352f1299e4b2c6e17227c8d6732b6a587ddee88a017

Observation 75b30788-5dd9-4e6d-b09c-f00826029901 · outbound

This paper cites Bayes' Bluff: Opponent Modelling in Poker.

Improving Transformer World Models for Data-Efficient RL Bayes' Bluff: Opponent Modelling in Poker

Reference 51

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source=arxiv_source observed=2026-08-09T14:59:45.039227Z digest=sha256:3623d0aec142932ce054c5ecb9e0fe150d3aef43d8700272a44593c4a1574aad

Observation e45edc05-5618-42ba-b3f5-0aeabbb07392 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-09T14:59:45.042915Z digest=sha256:33d23a5a1cbe4b6c04629cb147e27070a47d5384fb4cfe1ac48fedc31acf321a

Observation c128399b-e77a-4b79-b096-3507b2238a6e · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Improving Transformer World Models for Data-Efficient RL Retentive Network: A Successor to Transformer for Large Language Models

Reference 53

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source=arxiv_source observed=2026-08-09T14:59:45.046943Z digest=sha256:5830a021c4fd93372e25ddfb21a0cd60bc7e75218955d75fd98406590b0339ea

Observation 301d9e18-3276-4426-a7f5-4488d1bfdfa6 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 54

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unresolved
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.051054Z digest=sha256:5102155373dfcc2e2ee6feaa9517e17f47289b3204c16256efa90b0d744c25f9

Observation 83f79344-40ab-4ae2-bdfb-e185591e8f56 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-09T14:59:45.055149Z digest=sha256:7118fa411f61a9ffbdcc13d372fff2536c908b061000e6819550017816720dde

Observation 8f872bbf-bc8c-467f-9b18-64af7d8463db · outbound

This paper cites Toledo, L.

Improving Transformer World Models for Data-Efficient RL Toledo, L

Reference 56

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raw_fallback, observed 2026-08-09T14:59:45.444254Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.059282Z digest=sha256:83c6c8b2389abfe3cc2689dfe7d2473fae553554410b649df0a2cb7df0967798

Observation c292a449-35cb-48b5-b734-460ac633986a · outbound

This paper cites Van Den Oord, O.

Improving Transformer World Models for Data-Efficient RL Van Den Oord, O

Reference 57

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source=arxiv_source observed=2026-08-09T14:59:45.063208Z digest=sha256:992dee0f2376b24d7ac8f75d117bc5865cf3806769eb4c95ad60f4a23b0f5ca1

Observation c7823d98-1548-4d1b-bd82-225b33167078 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 58

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.067725Z digest=sha256:b7cf19d4a9bab9f89dad695161bbe29fd9d22d003c2e63644deeafc30a8b6e7b

Observation dbf90f11-a7bb-42f7-8482-65a3a7a23090 · outbound

This paper cites an unresolved cited work.

Improving Transformer World Models for Data-Efficient RL Unresolved cited work

Reference 59

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.071555Z digest=sha256:7643634d79dffe823359716d29992ad3d0edb758ae8ecd3a8431cccda3c89be1

Observation f63e11d4-394d-46f4-b3ed-4f17cba0e808 · outbound

This paper cites MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments.

Improving Transformer World Models for Data-Efficient RL MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Reference 60

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source=arxiv_source observed=2026-08-09T14:59:45.075451Z digest=sha256:e954c2424730f1a21b265ed54c74119647d2d89a797f582e05032e39793f2495

Observation c7603de9-d0dc-4ace-a80e-6781d26268f7 · outbound

This paper cites Zhang, G.

Improving Transformer World Models for Data-Efficient RL Zhang, G

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-09T14:59:45.411372Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T14:59:45.079391Z digest=sha256:e4583e200ba77d0c4b97e185b9d83f4deec16747e0164ecc11e3b95347265237

Pith citing papers

Observation d0eff15e-8aa8-4dd2-aa5e-a371dd4ba668 · inbound

Simulus: Combining Improvements in Sample-Efficient World Model Agents cites this paper.

Simulus: Combining Improvements in Sample-Efficient World Model Agents Improving Transformer World Models for Data-Efficient RL

Reference 13

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arxiv_id, observed 2026-05-23T02:32:26.210912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T02:28:23.113408Z digest=sha256:7072d4285d4f27015211dadfcc61806f29489d2bb3e5137914231fb664ccc835

Observation a1c84413-1946-4026-bb19-7fb10991f367 · inbound

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control cites this paper.

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control Improving Transformer World Models for Data-Efficient RL

Reference 4

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source=pdf_text observed=2026-08-15T19:30:24.081678Z digest=sha256:513ea51129fe6ccc262d91948313c3e051555b3b01634642e659cf2227cc4b74

Observation 1b4b672a-511c-4ac1-8825-aa7451f7dd7e · inbound

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training cites this paper.

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training Improving Transformer World Models for Data-Efficient RL

Reference 4

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metadata mismatch
arxiv_id, observed 2026-07-02T16:07:08.109366Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T15:58:30.814441Z digest=sha256:18b40e4814ab8551ac0f539fb0ae74d78de61b6f4ae0fbbc32bb247ec2c42b03