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Paper Citation Record · LEDGER

Transformer-based World Models Are Happy With 100k Interactions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2303.07109.

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

pith.paper-citation-record.v1
2303.07109 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:07:24.210816Z

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

0 of 0 outbound references displayed

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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48664f15-082d-4ab2-8b29-f256794155db · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Transformer-based World Models Are Happy With 100k Interactions

Reference 276

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verified exact
arxiv_id, observed 2026-05-16T08:12:31.168827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:cf17f587848098629046ee99e8f99119a19d9f297c7aa3d2bac2424682bb81a0

Observation 59d41cf4-9fcc-4b36-979c-3668948efc04 · inbound

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning cites this paper.

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Transformer-based World Models Are Happy With 100k Interactions

Reference 46

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verified exact
arxiv_id, observed 2026-05-17T16:06:09.586426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T16:06:09.448517Z digest=sha256:f693690e8316e2fa3b6eb709b66fa49ba2db3429f38ed0fc990156740ca20a9c

Observation 03ecf366-f44b-40d6-8cdc-0d1b4f10beaa · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI Transformer-based World Models Are Happy With 100k Interactions

Reference 166

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arxiv_id, observed 2026-05-10T23:38:45.877001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:7d0875b59da71a3958eb0cc06d77ec823f29cfff6c6bd8e8550ba336adeb197a

Observation 39ae2d33-d600-4dc2-80dd-ed7fcb8eadb5 · inbound

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

Simulus: Combining Improvements in Sample-Efficient World Model Agents Transformer-based World Models Are Happy With 100k Interactions

Reference 44

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verified exact
arxiv_id, observed 2026-05-23T02:32:26.163639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:28:23.113408Z digest=sha256:d502ca12b064fcee9c601abca9a21234610a2b284a8b3c94e531b85394cb8242

Observation f5d5c6b4-4972-4c15-90a1-8e701d569918 · inbound

Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics cites this paper.

Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Transformer-based World Models Are Happy With 100k Interactions

Reference 39

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unresolved
no resolver link, observed 2026-08-07T06:07:24.210816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:07:24.210816Z digest=sha256:62f1efd3a85bc1331edf61eb042126a2360bc47bb239087eda46009a8a527304

Observation 9cd782b2-36f7-440f-b61f-033f33ce46e7 · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Transformer-based World Models Are Happy With 100k Interactions

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T21:02:04.295140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:02:04.295140Z digest=sha256:1971f2096beead8eaae3e9f1368a0096c3441143e219962a4d6bee62d6e73eaa

Observation 50b20386-8d55-4d8b-be29-4574b020abd6 · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Transformer-based World Models Are Happy With 100k Interactions

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:50.912589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:50.912589Z digest=sha256:65dc4b60ea12257403d3eae4a528bfd204f63bf7fe2a4c9d15982ecbddb7bee9

Observation af23fd0d-0890-4647-85bb-f4f301db7157 · inbound

HERO: Hierarchical Extrapolation and Refresh for Efficient World Models cites this paper.

HERO: Hierarchical Extrapolation and Refresh for Efficient World Models Transformer-based World Models Are Happy With 100k Interactions

Reference 20

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verified exact
arxiv_id, observed 2026-05-18T22:11:52.829078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T22:10:16.645510Z digest=sha256:ef320b60542cfefb98472230f680bb8a974bf0fcb0dc83c8d99a71060d1cd55e

Observation ca3c1642-7671-4196-acef-a5ed28cadf47 · inbound

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions cites this paper.

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions Transformer-based World Models Are Happy With 100k Interactions

Reference 23

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arxiv_id, observed 2026-05-18T13:56:26.135093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:55:16.513839Z digest=sha256:c77f90f7263f8b0956a542a881c00509c33e886572384ccc1de3ebdcecc13fa0

Observation b6e37647-268f-40f0-b317-e473f877daf7 · inbound

Training Agents Inside of Scalable World Models cites this paper.

Training Agents Inside of Scalable World Models Transformer-based World Models Are Happy With 100k Interactions

Reference 68

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verified exact
arxiv_id, observed 2026-05-15T02:05:52.538890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T02:05:52.431747Z digest=sha256:743946e5e26c365dd2014f575ec9a7bcda4eedf46c37a0ee8213e86b5077113d

Observation dc45ba1f-ec4a-41f6-85cc-ad3058c33344 · inbound

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization cites this paper.

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization Transformer-based World Models Are Happy With 100k Interactions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T10:37:26.389208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:26.389208Z digest=sha256:b17ab54a9000b63ec5fb5525533c3ee525247f97fe95314391d8d584adabdb7c

Observation 957e3900-bf5d-434d-abd9-a988be8510fc · inbound

RynnVLA-002: A Unified Vision-Language-Action and World Model cites this paper.

RynnVLA-002: A Unified Vision-Language-Action and World Model Transformer-based World Models Are Happy With 100k Interactions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T20:59:52.372694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:59:52.372694Z digest=sha256:76073459c22db3de0312a97e0ec3958163b6c170aceb40580ae13a3fa3384b20

Observation 8b9bd562-86ce-4c2b-b8f5-5026b7df482d · inbound

Advantage-Guided Diffusion for Model-Based Reinforcement Learning cites this paper.

Advantage-Guided Diffusion for Model-Based Reinforcement Learning Transformer-based World Models Are Happy With 100k Interactions

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:01:00.664114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:21:03.813720Z digest=sha256:dc091f0ecacf643aaa34c7c400d4427c0e0c837cbb338912c9c294c4edc0b078

Observation 2cd71468-e873-4d30-b028-0ab84fd4c048 · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformer-based World Models Are Happy With 100k Interactions

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:21:49.248903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T02:53:39.060764Z digest=sha256:1406106ef33d753f365cecd71e17545c4fd590aa4f504f359c49929ed2f2940f

Observation 8d0968d7-4181-4ab4-818e-6482f0d2219a · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformer-based World Models Are Happy With 100k Interactions

Reference 50

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verified exact
arxiv_id, observed 2026-05-11T00:50:49.866789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:a517cd2f82087e7aa8d14d076f190fb2f3c1f24377071e56fe6fbfde70baff74

Observation 68463e4d-ff97-46b2-8542-c5901d1558c0 · inbound

Lifting Embodied World Models for Planning and Control cites this paper.

Lifting Embodied World Models for Planning and Control Transformer-based World Models Are Happy With 100k Interactions

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:41:15.563357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:32:46.059831Z digest=sha256:25d7f6f54f55af99160af40d2057650570fcd9a973d55a44d4850ff1ce90c46e

Observation 3d79231e-7021-4f40-8e11-0cf094ca5da4 · inbound

Lifting Embodied World Models for Planning and Control cites this paper.

Lifting Embodied World Models for Planning and Control Transformer-based World Models Are Happy With 100k Interactions

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T15:20:27.678076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:20:27.678076Z digest=sha256:d394f7d3625a70fe68e11bd64c1bfdba44af1c1480f01f6277746afdd7ed44d6

Observation 88a3a0bf-124f-40e2-92ee-06b5e2c73906 · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning Transformer-based World Models Are Happy With 100k Interactions

Reference 13

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verified exact
arxiv_id, observed 2026-05-14T19:37:51.974773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:37:19.404335Z digest=sha256:7c318f307feed5d6b6572f3fe01f42e136ac4e83d0dd5a9243dc42cc5b9533f1

Observation ad9961c0-6860-4832-8ded-7b980ef95526 · inbound

Self-supervised Hierarchical Visual Reasoning with World Model cites this paper.

Self-supervised Hierarchical Visual Reasoning with World Model Transformer-based World Models Are Happy With 100k Interactions

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:43:16.904414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:41:17.559901Z digest=sha256:81dc58e504922177127d54d073a25d98850968975ec5f43f1913bf31339b4a34

Observation fd42ef23-eb59-4374-8113-85ad5d4e3661 · inbound

Self-supervised Hierarchical Visual Reasoning with World Model cites this paper.

Self-supervised Hierarchical Visual Reasoning with World Model Transformer-based World Models Are Happy With 100k Interactions

Reference 9

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verified exact
arxiv_id, observed 2026-06-30T19:05:00.302472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T19:04:33.433907Z digest=sha256:38f92da50224e32fb95758b610ac96dfe5598d80978110360698432df674843e

Observation e097d4c3-7bd4-4261-8ccb-576dc76534f5 · inbound

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence Transformer-based World Models Are Happy With 100k Interactions

Reference 61

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metadata mismatch
arxiv_id, observed 2026-06-28T23:02:45.763885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:57:38.477065Z digest=sha256:9706b5647586d93568265d2e81ff4ade329972206926c44727900b7fc1747f21

Observation 5611b179-6218-4000-8d90-b2e56374d278 · inbound

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence Transformer-based World Models Are Happy With 100k Interactions

Reference 61

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metadata mismatch
arxiv_id, observed 2026-07-02T22:57:25.327144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T22:53:35.213874Z digest=sha256:15ed96c832eef0df4b84d4b195c363b284d23ce5bac4206b187f002c465a992b

Observation a2b296f9-c74b-49ac-99dd-48aef096bdfd · inbound

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning cites this paper.

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning Transformer-based World Models Are Happy With 100k Interactions

Reference 10

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verified exact
arxiv_id, observed 2026-06-28T19:32:34.981852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T19:27:25.233173Z digest=sha256:fb54fa67d32a3544256ecfc0231751fc2d5bffd09e5fcd20154d9cafa3ff8f93

Observation c56b2637-90a7-475c-aeba-f81238bd839a · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Transformer-based World Models Are Happy With 100k Interactions

Reference 242

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unresolved
no resolver link, observed 2026-08-01T17:45:20.355440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:45:20.355440Z digest=sha256:59a05205bc29362fe74a09b7129b829a77a892791a3576d4d9801e5a60c98956

Observation 1a6423c6-76b0-45de-b5b9-ad5475ef6c92 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Transformer-based World Models Are Happy With 100k Interactions

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-01T08:32:00.343942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:32:00.343942Z digest=sha256:e198def1738cae7840d2dd9e49ac128609b31073e47ff899a6c08324b4061fab

Observation 3186ef3d-c751-4fcf-91c5-bcf0c9357d1d · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Transformer-based World Models Are Happy With 100k Interactions

Reference 219

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unresolved
no resolver link, observed 2026-08-04T19:45:35.169325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.169325Z digest=sha256:84f659cfc1d4c0f1b75ffb629b9be4ae98961e109f3547b31554d616a6dbcf44