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Paper Citation Record · LEDGER

SANTS: A State-Adaptive Scheduler for World Action Models

As of 6 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2605.27947.

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

pith.paper-citation-record.v1
2605.27947 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T11:04:29.593725Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:58:45.456815Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T04:09:35.030808Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eea7e9e-79a6-421c-895f-ff889fe291b2 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 1

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:f94d56c617ece2ba537cfe075d6cb20138a42415ad3087647bfecef56a20333c

Observation 904d1ce7-50c0-463e-9bf0-46594bc5e76a · outbound

This paper cites World Action Models: The Next Frontier in Embodied AI.

SANTS: A State-Adaptive Scheduler for World Action Models World Action Models: The Next Frontier in Embodied AI

Reference 2

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:6f3aee4f7ded20c3d0f4e063d97e1ebb750209b4018f36150301feecf19760f3

Observation 4488c2d2-9308-44b8-8ced-14166d91e666 · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

SANTS: A State-Adaptive Scheduler for World Action Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 3

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:3738513884c6ee6be9f4c6e7739c09df7f9e16b2b0fd40296f089b4b69c7a5b5

Observation cc9bc432-0fcb-42d1-8a16-925b9c5189e1 · outbound

This paper cites Causal World Modeling for Robot Control.

SANTS: A State-Adaptive Scheduler for World Action Models Causal World Modeling for Robot Control

Reference 4

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:6eae0201d3939103421c3547610a94b39939c664e086540bb5dc5bcf0a19efc3

Observation fb674363-3d46-486a-8584-6f2199ffc225 · outbound

This paper cites World Action Models are Zero-shot Policies.

SANTS: A State-Adaptive Scheduler for World Action Models World Action Models are Zero-shot Policies

Reference 5

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:798f32127ed301a66e8eef07ec85139c65665c98c29c2d48c88bd62166173072

Observation 85a99254-9020-45bd-bfba-63b5bde66a4e · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:5cf97ccdf2442931ac2053596d073e18c844c2c0b38bdd998129380ca426f5c9

Observation 843cf61c-da0a-4117-b7a5-796f3a8c744c · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

SANTS: A State-Adaptive Scheduler for World Action Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 7

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:3a52e15e2a657417fc6d22e1b013ce40ea06b0c9319d4d9173f9125501965ef7

Observation 916600bf-2960-4d30-98aa-9a9d22d16762 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:7ef6017a384079649022b009bd96756b2e3437521341b9b5eade316cbe25670c

Observation fb23b0d6-3586-4c95-ae16-b25368b9b6fe · outbound

This paper cites mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs.

SANTS: A State-Adaptive Scheduler for World Action Models mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 9

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:ccfe37525109217461e863f9fb92ab576b7001dcbfdfedf73b08bd542762a65b

Observation a9c27938-8919-482f-b366-70af5f35e6e8 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:bdb1b9d68d84c77dd0a8f58a60f1674c13785f38b4655f0962288338cde8c016

Observation 70188268-4e5d-440b-8b6e-7828b38c3cd8 · outbound

This paper cites Motus: A Unified Latent Action World Model.

SANTS: A State-Adaptive Scheduler for World Action Models Motus: A Unified Latent Action World Model

Reference 11

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:b970b665e7d94d7c3a2187fbbb0d85a1a240d402b5202553f36cffbac8444971

Observation 89ad3e32-c27a-4f39-988a-3d68acec210a · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

SANTS: A State-Adaptive Scheduler for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 12

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:10187088260aa5465a7250b8ca15443a982ebcd5ce3e377fe0ccc933c9410b13

Observation c7da082d-4df4-4b07-9586-eda1edc6a845 · outbound

This paper cites Learning Visual Feature-Based World Models via Residual Latent Action.

SANTS: A State-Adaptive Scheduler for World Action Models Learning Visual Feature-Based World Models via Residual Latent Action

Reference 13

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:8398cdfec364663b44f4e899e52f564af4596cc977d60b71e9eecb25d4490be3

Observation 21db2c68-c98c-4810-9dff-50d280282db7 · outbound

This paper cites Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.

SANTS: A State-Adaptive Scheduler for World Action Models Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Reference 14

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:338c45ef2c8c6399c49d466e11ddbf7a837ea0e228141f2d9c4e8fe15dff0118

Observation 17985247-7b69-4176-b27e-84fa58abcec2 · outbound

This paper cites Spectrally-Guided Diffusion Noise Schedules.

SANTS: A State-Adaptive Scheduler for World Action Models Spectrally-Guided Diffusion Noise Schedules

Reference 15

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:79b319edfd21ec5796a96bbc355c64813fa397d410f848d4260b01534bbb6c28

Observation c5857eb3-2e15-494e-beaa-806a16ba233d · outbound

This paper cites D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning.

SANTS: A State-Adaptive Scheduler for World Action Models D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:a14fa9f2df84375df1e9d96af4dfff9589db317275a6ce8d7ce9f651a5a52906

Observation ad20ebf3-f2d1-43ba-9456-8741ec64295a · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 17

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:9da51ec3646555940befcb941d5c0596d096314f83620c19181f653263b82cf0

Observation b0fb3cd9-c747-4bd1-8625-60bcbe8e6d8a · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 18

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:34a5b3ef116c3d6a491d714506fc46dabcefaa04af849366b23cee8842fba96e

Observation b6ee63c0-9f0b-45ff-9117-7ff91612f16b · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 19

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:a8cf6312e041b8c2fe5937d24bbcb03a8d93bd49da12edd1763f1900377e1716

Observation 986c4834-41a1-4190-a9c4-7f2cd8a49a11 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

SANTS: A State-Adaptive Scheduler for World Action Models WorldVLA: Towards Autoregressive Action World Model

Reference 20

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:538d6728ff87e0a70a0d5c6df822e86220b833334a8128c74fb2f69452caa247

Observation e29e8131-fd96-4c5e-95ac-7846f1ec905b · outbound

This paper cites HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models.

SANTS: A State-Adaptive Scheduler for World Action Models HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models

Reference 21

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:c14e0a614b66fd515b10eb8a638b59f806208e800235fb6cbbb6d84b4adc00ad

Observation e0399da5-0bde-4eb2-a078-501fe4b75536 · outbound

This paper cites Finn and S.

SANTS: A State-Adaptive Scheduler for World Action Models Finn and S

Reference 22

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:9609c2adf16f8f82e7900508d5a57ee9741d31f53c8dca189580cc30f9576c29

Observation f081a7f9-509d-4687-8131-c494b3a7ec2d · outbound

This paper cites WorldEval: World Model as Real-World Robot Policies Evaluator.

SANTS: A State-Adaptive Scheduler for World Action Models WorldEval: World Model as Real-World Robot Policies Evaluator

Reference 23

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:0a91802c293a59a601065421fefb4957a069db5fa7437db6eb2ddd44ae6d7fe7

Observation 504d0627-6cb4-44f1-8826-b15f8432e130 · outbound

This paper cites RISE: Self-Improving Robot Policy with Compositional World Model.

SANTS: A State-Adaptive Scheduler for World Action Models RISE: Self-Improving Robot Policy with Compositional World Model

Reference 24

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Observation f9868656-c6db-4257-ab36-f1aec32e7020 · outbound

This paper cites VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation

Reference 25

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Observation e7e6469e-8056-4926-8e21-b3951ba37cf1 · outbound

This paper cites Routray, H.

SANTS: A State-Adaptive Scheduler for World Action Models Routray, H

Reference 26

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:90b5cb0c700aa1cef56b2ccfbe080aa3fcc93f1b60bd5b0e20983c3d811c5126

Observation f5527a4e-95ca-4681-bebf-e80cc10cadb4 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 27

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:0e7b4a3563ec6454450fcae39cb0a0ac3d85e17396195207667e3c54fad2cefd

Observation 2f1c4c89-c0f1-48cd-ace4-91e74af0e6f8 · outbound

This paper cites From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation

Reference 28

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:fbd5b91dac1463a9df9b10dfefd0ca29daf741619d7ac089a61711bdb75f0698

Observation b75d0b09-843d-4aa9-9d07-f6634a41e86c · outbound

This paper cites OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation.

SANTS: A State-Adaptive Scheduler for World Action Models OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation

Reference 29

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:d0723129efb52d9026c2f744cfa9344ac3ab00c5fec92c8e18db994744467bd6

Observation 39689a7b-79ba-400f-bc74-b22e1da3a9a4 · outbound

This paper cites Motubrain: An Advanced World Action Model for Robot Control.

SANTS: A State-Adaptive Scheduler for World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 30

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:111324948ddde918002e1923a73b5c7075d814bffe81da3e43722ecac4de03a0

Observation 1b678e5f-c40a-4c9f-9a89-bef9f03254c5 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 31

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:c327bb4b47b91b33b878dc4b8bbd6f6befe7968278e1bedcac2ad9308001dbb7

Observation ff8290d8-4407-49ba-9938-670c2b073883 · outbound

This paper cites Being-H0.7: A Latent World-Action Model from Egocentric Videos.

SANTS: A State-Adaptive Scheduler for World Action Models Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 32

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:b438ee3420241e22cc386c003cf3257cc4ef363f40becc2a68bcc4beaf48bf30

Observation 7f24dbf2-4e21-40b0-b260-eeec8ccea5f4 · outbound

This paper cites Denoising Diffusion Implicit Models.

SANTS: A State-Adaptive Scheduler for World Action Models Denoising Diffusion Implicit Models

Reference 33

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:d00c7999142ce92aec666f0ccaf7a3be39e37813500c84da20202f7f8d1c8073

Observation 43c2f8c3-3b4c-4652-80cb-7a4286acd584 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 34

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:42046427e4c024922994de3a73cfc83930ce862ebb3ea5bf00f969b905e6ace1

Observation 2caf75f9-9869-4be6-9f00-e176c77feba5 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 35

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:0e4fa04c54b079431f5a2101c34b749e666c6d829727cb2d2f919221bb9160ee

Observation f5a35cb3-4444-4ffe-877a-e9c6f49d2a18 · outbound

This paper cites DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.

SANTS: A State-Adaptive Scheduler for World Action Models DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Reference 36

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:003013af068bc157d860fc0ae31623abfbc62a2d8ccec83bf2555fa11396d250

Observation 4f7469dd-8f1f-4dc7-81f2-4a56933f758a · outbound

This paper cites Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising.

SANTS: A State-Adaptive Scheduler for World Action Models Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Reference 37

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:923ee95e72a89f3cd0a1cb5ff094204dac86fa171c04c810c2441a339a675f8e

Observation ccf6d76d-c750-425a-98d8-70ad3a0ba0e5 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 38

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no resolver link, observed 2026-07-15T11:04:29.593725Z

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:525107b3e4b988de27bfc2140640912b99a79490834bdf1b32efedc1a0947fcc

Observation 2708e411-b514-44fa-90ce-41314030c314 · outbound

This paper cites an unresolved cited work.

SANTS: A State-Adaptive Scheduler for World Action Models Unresolved cited work

Reference 39

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no resolver link, observed 2026-07-15T11:04:29.593725Z

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:87009c3805d4eca36b3bfe62bf095bca44458b6b59b694b0f69fc6e80134b449

Observation 36fafed4-3ec4-498f-a57e-48ecdc5db019 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

SANTS: A State-Adaptive Scheduler for World Action Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 40

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no resolver link, observed 2026-07-15T11:04:29.593725Z

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:8bf5de375d651cf03acc22d995caf8dba3ab3b2bd7aa3a59f3f5208b0b60688d

Observation 9acaebb4-852c-4e80-8634-f4514500fa52 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SANTS: A State-Adaptive Scheduler for World Action Models Proximal Policy Optimization Algorithms

Reference 41

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Observation 45f81a91-bc8e-49a4-9ee1-5821a988324b · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

SANTS: A State-Adaptive Scheduler for World Action Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 42

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:a4367dc48e5d4815175e3a9c0a9e07eb1e73eda255358d74839797eb09e014a2

Observation f3961958-fb2e-4a26-84ad-65352609cddc · outbound

This paper cites Black, N.

SANTS: A State-Adaptive Scheduler for World Action Models Black, N

Reference 43

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:0973becdd6cd8f7335d7b14dd50d9d7279c3ef279bcdfa0ac1e6aabf362daec3

Observation 84cbe686-3f08-46d5-b9de-6a7ae615f88c · outbound

This paper cites Decoupled Weight Decay Regularization.

SANTS: A State-Adaptive Scheduler for World Action Models Decoupled Weight Decay Regularization

Reference 44

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source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:455ba2482bed629a93b86d64b0b255057645780fd6fdba3e45ae6f4337a0c525

Pith citing papers

Observation 6adcf319-2e3d-46d7-8241-e2ad36784698 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey SANTS: A State-Adaptive Scheduler for World Action Models

Reference 146

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local_arxiv, observed 2026-07-04T04:09:35.032804Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:2ed72fec1b7238044d79cb8fe7487ba4b2eb33077a4b869105592f5388270891

Observation 1994d160-e5fa-4bdf-81ed-4e5e0259c654 · inbound

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation cites this paper.

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation SANTS: A State-Adaptive Scheduler for World Action Models

Reference 19

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source=pdf_text observed=2026-08-01T17:58:45.456815Z digest=sha256:878447fdb368d380dc96c3937f49a56c84edfc5c8ca5b43ac674a56045987dd8