Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T00:49:02.463223Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.26056.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T00:49:02.463223Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 155429c4-b549-4051-bb16-0292a4cd523c · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning latent dynamics for planning from pixels.Inter- national Conference on Machine Learning, 2019
Reference 1
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Observation a8ede6cc-6737-4168-ad47-8810c1485a5e · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models TD-MPC2: Scalable, robust world models for continuous control
Reference 2
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Observation 8b22ece9-b60c-4fd7-8cef-2e8b732ea87e · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models DINO-WM: World models on pre-trained visual features enable zero-shot planning
Reference 3
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Observation 6c8e5026-dcfc-4458-ba0b-3f19ed9a5dc3 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Reference 4
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Observation a9d7753f-bcc9-47e5-811a-1ea534a89b68 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Kroese, Shie Mannor, and Reuven Y
Reference 5
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Observation 8b57f068-ee76-45da-9bab-7a527b3a5d25 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Rehg, Byron Boots, and Evangelos A
Reference 6
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Observation d2c2cc84-2f25-41e0-a941-18cb7a2b0b0d · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Mastering Diverse Domains through World Models
Reference 7
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Observation b35769b5-6a06-4fbc-910c-7761b4be5273 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unresolved cited work
Reference 8
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Observation 9aed2264-5c46-48f2-8109-1c8e101cbf4f · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Reference 9
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Observation 4e8bd6d6-54c6-4185-8c1e-382afd8cd605 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Causal-JEPA: Learning World Models through Object-Level Latent Masking
Reference 10
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Observation 6c734855-366f-4d7e-bb48-e2216eef5450 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Fast LeWorldModel
Reference 11
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Observation 19a763d9-9e0c-4c9a-889f-87fab0022afe · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Efros, and Trevor Darrell
Reference 12
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Observation de0fc704-987f-4e08-9dd0-a07eec12e4a5 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Provably filtering exogenous distractors using multistep inverse dynamics
Reference 13
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Observation 24a8ab2a-5374-42af-9290-9deea5acfc47 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Inverse dynamics pretraining learns good representations for multitask imitation
Reference 14
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Observation 160cb57e-6cac-4910-9ff9-43080d80af76 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine
Reference 15
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Observation f735e831-436f-4c4a-bc3a-e59c0f3e0a81 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Sensorimotor World Models: Perception for Action via Inverse Dynamics
Reference 16
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Unavailable: canonical work link unavailable.
Observation c845e808-c91a-4061-b0ca-26f448c2e37a · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
Reference 17
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Observation c44246e3-72aa-4150-9137-819f79b53e22 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning to Reach Goals via Iterated Supervised Learning
Reference 18
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Observation 8e9ad6cb-2ef5-401c-b0b8-9b9a38e6d281 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models C-Learning: Learning to achieve goals via recursive classification
Reference 19
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Observation 64be9911-cac0-490e-b3d1-e0d8e29588a9 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Contrastive learning as goal- conditioned reinforcement learning
Reference 20
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Observation ba423836-26ca-497a-a17a-a172abf0d53c · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Sutton, Doina Precup, and Satinder Singh
Reference 21
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Observation 2307faed-f20d-46d1-b828-77f065bea4f8 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Klyubin, Daniel Polani, and Chrystopher L
Reference 22
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Observation a5035503-8083-47e1-9459-39950fa32e2b · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Diversity is all you need: Learning skills without a reward function
Reference 23
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Observation 2b046f7c-fb47-415f-a5ea-fc1f1bde2c27 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Dynamics-aware unsupervised discovery of skills
Reference 24
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Observation 6e861261-ae47-4e13-80e5-2739c4b9bcb9 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unsupervised reinforcement learning with contrastive intrinsic control
Reference 25
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Observation e4d5c61c-a666-45be-960f-6cc303b63cd3 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models METRA: Scalable unsupervised RL with metric-aware abstraction
Reference 26
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Observation 4d07b532-b440-4c85-98ef-a084201b5fba · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Dimen- sionality reduction by learning an invariant mapping
Reference 27
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Unavailable: canonical work link unavailable.
Observation a5c73204-2168-48c4-a970-75eb8d58df89 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models FaceNet: A unified embedding for face recognition and clustering
Reference 28
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Observation ecdab1d1-6c69-40c6-a64e-772200120012 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Learning invariant representations for reinforcement learning without recon- struction
Reference 29
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Observation 86431b7e-f553-458a-ab4e-992ab7c82c35 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Bisimulation makes analogies in goal-conditioned reinforcement learning
Reference 30
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Observation 42a20284-376b-40c3-aefe-0f4df8c421db · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Planning from Pixels using Inverse Dynamics Models
Reference 31
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Unavailable: canonical work link unavailable.
Observation 2a667d91-5d9b-4d01-b2fe-b8b0cd154c98 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Biased-MPPI: Informing sampling-based model predictive control by fus- ing ancillary controllers.IEEE Robotics and Automation Letters, 9(6):5871–5878, 2024
Reference 32
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Observation 749ea159-346b-45b1-8341-e72a5d8bfc66 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models PRISM: PRior-guided Imagination Sampling in world Models
Reference 33
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Observation fb381de0-e1da-4ec7-95e2-b83c53f99526 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Latent Geometry Beyond Search: Amortizing Planning in World Models
Reference 34
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Unavailable: canonical work link unavailable.
Observation 5b127739-2443-4ef9-8ea6-12243d128a15 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models QuoVLA: Quotient Space for Vision-Language-Action Models
Reference 35
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Observation 3dc1766d-0e78-4ca2-934f-c615e924d758 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
Reference 36
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Observation ac9dc69b-9213-404e-b205-7953cc6800b1 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Reference 37
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Observation 1fdeceee-41cd-48c1-bac2-6c9539e8293a · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models DreamGen: Unlocking Generalization in Robot Learning through Video World Models
Reference 38
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Observation 27225d81-287e-4dc0-b9ec-f5a9e3974b62 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control
Reference 39
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Observation 94b20b3c-3143-4259-8869-5fadcf52af6b · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models OGBench: Benchmarking offline goal- conditioned reinforcement learning
Reference 40
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Observation 241b7daa-3e61-400f-b387-8dfd1a9dc1a0 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models CLEAR- LeWM: Calibrated, legality-aware evaluation for LeWM control
Reference 41
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Observation 46bcf3aa-b8b7-455e-810e-90ee4991918e · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Unresolved cited work
Reference 2022
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Observation 9f7e484d-df51-4b16-a7a2-b1f3a49ce892 · outbound
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models Shared fraction
Reference 2026
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No inbound Pith citation observations are available.