Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2411.00785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:33:12.577205Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T21:00:09.783700Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 547818d4-8ee6-4805-ad5e-831fc3e2775a · inbound
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation cites this paper.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:29:09.438211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b581b68-ccdd-45de-b531-0391d1bd19c7 · inbound
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations cites this paper.
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 93
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T18:38:11.313568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f78bd75c-6e8c-4692-8777-791cbb8c8c34 · inbound
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent cites this paper.
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:13:14.887809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 767b7ea1-b712-411a-9dc9-a8626f3ec87f · inbound
Latent Action Learning Requires Supervision in the Presence of Distractors cites this paper.
Latent Action Learning Requires Supervision in the Presence of Distractors IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:18:44.893686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91ebf4bc-00de-4437-80f8-de0c067b9d74 · inbound
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions cites this paper.
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T15:28:06.967896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 606d6697-a9b2-4e10-8309-64266fbc35a7 · inbound
Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation cites this paper.
Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:33:12.577205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87d28d03-a0ad-4bca-a374-5a7b333b7764 · inbound
CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning cites this paper.
CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:56:33.139916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d8aa1ed-3ea4-4adc-9999-2e46881603c9 · inbound
WorldEval: World Model as Real-World Robot Policies Evaluator cites this paper.
WorldEval: World Model as Real-World Robot Policies Evaluator IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:25:41.835024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 794491b1-9a61-44bd-8399-e6d5650962a6 · inbound
Playing with Transformer at 30+ FPS via Next-Frame Diffusion cites this paper.
Playing with Transformer at 30+ FPS via Next-Frame Diffusion IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:49:42.207829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cbd0345-3ac5-4cbe-85e4-6bda7755a4c8 · inbound
GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation cites this paper.
GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:50:29.231047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4ddca0e3-d259-40f1-a1f5-800e9a5cb0ce · inbound
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models cites this paper.
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:10:27.083480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3827fc8f-d211-4da5-b32d-9e48b3d2b97c · inbound
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers cites this paper.
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:07:22.759775Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 368c1dee-66e7-4e08-a7c8-d6b3dfddfcbb · inbound
Is Diversity All You Need for Scalable Robotic Manipulation? cites this paper.
Is Diversity All You Need for Scalable Robotic Manipulation? IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:17:10.758757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd2ef776-c9c6-459e-ad1a-8a7c1a38296a · inbound
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models cites this paper.
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:52:02.980898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6efd5a22-aa1e-4ed5-92a7-f8b23806f8cd · inbound
PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation cites this paper.
PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:24:44.036005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30b947d9-96c0-4a33-b2c0-49c890709df5 · inbound
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos cites this paper.
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T17:02:34.146487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad1e5935-e2cc-422b-9efb-6a396a4b0f5c · inbound
UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models cites this paper.
UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:20:17.665714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64c0227a-a4b0-48ff-b393-3a78a56503d8 · inbound
Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training cites this paper.
Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:36:07.668999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ba7bbf18-1bc3-4ac1-84f5-bfff8fdfe94b · inbound
GazeVLA: Learning Human Intention for Robotic Manipulation cites this paper.
GazeVLA: Learning Human Intention for Robotic Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:36:12.527612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46bce8bf-d9c5-4aaa-aebb-c581e90d3716 · inbound
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation cites this paper.
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:26:11.673687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8de5b719-e340-4891-9f79-461ecb42440f · inbound
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation cites this paper.
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:21:29.238755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 965afae3-47c1-41c4-a357-a712ee39d9ae · inbound
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models cites this paper.
From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T17:16:09.928505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7331027b-87d9-40cd-9f0f-fd2ab52caec9 · inbound
VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts cites this paper.
VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:26:10.252214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5594f8e5-fee1-41e7-86b4-ce891a6aa4e8 · inbound
ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models cites this paper.
ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:26:27.062999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bf2bea7b-7d9b-48df-aab2-66738c7dc589 · inbound
ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models cites this paper.
ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:17:59.505091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3efa652d-3532-4adf-8404-f23d6b9d4d17 · inbound
RotVLA: Rotational Latent Action for Vision-Language-Action Model cites this paper.
RotVLA: Rotational Latent Action for Vision-Language-Action Model IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:49:23.120637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ec9a79a5-9e97-473b-bd2c-63a9685361e0 · inbound
DiLA: Disentangled Latent Action World Models cites this paper.
DiLA: Disentangled Latent Action World Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T19:38:56.388138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3163ce5d-1ad9-47d0-966b-5d5c7d73387d · inbound
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model cites this paper.
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 3
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-19T19:37:43.756786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9adc3f5-8256-4c5d-b50d-54b231aa71d3 · inbound
UAM: A Dual-Stream Perspective on Forgetting in VLA Training cites this paper.
UAM: A Dual-Stream Perspective on Forgetting in VLA Training IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:28:55.099978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 32c9b733-a34b-4e5d-bc26-1b09967633af · inbound
Why Latent Actions Fail, and How to Prevent It cites this paper.
Why Latent Actions Fail, and How to Prevent It IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T08:34:05.330376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 172dd323-3d20-42be-9cab-eb70a0bdf684 · inbound
From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data cites this paper.
From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.167016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8344fbfe-375e-40f9-94ba-00c48daaa38b · inbound
CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.
CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:36:29.583480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5c0ca728-7f52-46cb-9560-31f73155c281 · inbound
LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.
LARA: Latent Action Representation Alignment for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T16:47:09.499733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77d76d54-83c7-4ceb-9f3a-5e1da62f7a68 · inbound
LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.
LARA: Latent Action Representation Alignment for Vision-Language-Action Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T08:35:34.492973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 92fadd4d-7535-4bbc-a91d-d257a94dbd83 · inbound
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos cites this paper.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:39:04.235028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f2cded77-958a-4ab6-a065-0eeb889d2748 · inbound
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos cites this paper.
Motion-Focused Latent Action Enables Cross-Embodiment VLA Training from Human EgoVideos IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:49:01.900671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c276495b-7d4f-4f51-a882-7d22f3eeb120 · inbound
Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models cites this paper.
Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:49:38.568483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ef32b57f-519a-4253-b24c-a2b511622482 · inbound
Learning Action Priors for Cross-embodiment Robot Manipulation cites this paper.
Learning Action Priors for Cross-embodiment Robot Manipulation IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:00:09.785386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db4fb4c8-8d36-4d37-864c-cb06c02743e2 · inbound
Causally Debiased Latent Action Model for Embodied Action Conditioned World Models cites this paper.
Causally Debiased Latent Action Model for Embodied Action Conditioned World Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T04:50:59.096166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d99e890-b6a8-4652-bca8-e6f8c2abf07d · inbound
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control cites this paper.
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:27:05.835624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1756cd0f-e81c-4df8-a802-d10edc9e8d97 · inbound
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control cites this paper.
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T03:23:48.964275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58573bcf-2373-411b-884b-74b3d872dc1c · inbound
ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow cites this paper.
ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T09:42:43.644737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 720ef27e-345d-4bce-b680-ae4155102304 · inbound
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 216
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T08:51:28.134244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc6f7df7-6c3e-44a2-8987-523be07b7926 · inbound
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
Reference 197
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:23:09.888871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.