Paper Citation Record · LEDGER

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

As of 5 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2604.19734.

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

pith.paper-citation-record.v1
2604.19734 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:04:25.672157Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:50:30.610634Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T00:39:17.463881Z

Reference resolution

45 of 45 outbound references displayed

verified exact24
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a973eb9f-1233-4a48-8e77-fc944b4d138a · outbound

This paper cites In- n-on: Scaling egocentric manipulation with in-the-wild and on-task data.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling In- n-on: Scaling egocentric manipulation with in-the-wild and on-task data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:07.069885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3b7a60c-b7ce-434f-a270-822252b5a70c · outbound

This paper cites DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:04:09.359682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab2236a3-384b-4c1e-a969-5621dad563a7 · outbound

This paper cites EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:32:58.962571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75b4f3c8-4c02-4681-bcad-d0af74f734fd · outbound

This paper cites Behavior Generation with Latent Actions.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Behavior Generation with Latent Actions

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:07.355825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 645cf03f-ddf0-4a7d-94bc-f70080252baa · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:07.545351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 41e53dba-561b-448e-973a-90ae610e2b42 · outbound

This paper cites Action tokenizer matters in in-context imitation learning.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Action tokenizer matters in in-context imitation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.263751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2aa3951-a4e0-4330-91d2-252a445b1731 · outbound

This paper cites QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:06.362356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db95a951-fa5a-4999-98ed-5e6db56dcb61 · outbound

This paper cites Vq-vla: Improving vision-language-action models via scaling vector-quantized action tokenizers.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Vq-vla: Improving vision-language-action models via scaling vector-quantized action tokenizers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.319068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f959f8e-6413-4c88-b62e-9975e0a3ec3c · outbound

This paper cites Moto: Latent motion token as the bridging language for learning robot manipulation from videos.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Moto: Latent motion token as the bridging language for learning robot manipulation from videos

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.304786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95635ea6-2ab6-4671-aa50-56262d2d12c1 · outbound

This paper cites Latent Action Pretraining from Videos.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Latent Action Pretraining from Videos

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:06.498105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df7082f5-8fe4-4cca-bd08-3fcbd2e4688c · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:28:07.265740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89b23afc-c48a-4fca-a059-d31719795408 · outbound

This paper cites Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.284312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4a4f155-46c1-4ee6-9bf2-eb8fa6d002b3 · outbound

This paper cites Metis: Multi-source egocentric training for integrated dexterous vision-language-action model.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Metis: Multi-source egocentric training for integrated dexterous vision-language-action model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:07.895852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88382b62-eee2-4c01-a937-a729d25940fb · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling R3M: A Universal Visual Representation for Robot Manipulation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:26:54.148999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b782146-c469-4fe9-bf1e-17d6da41e161 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:42:52.948246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c89d3def-6f17-4399-b948-96b57dd4cdd2 · outbound

This paper cites Real-world robot learning with masked visual pre-training.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Real-world robot learning with masked visual pre-training

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.312441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb79a703-0f18-4f42-98a1-aeeb83a394c8 · outbound

This paper cites Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420– 124450.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420– 124450

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.288434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d50fd9d-5e3b-4cb0-952a-97be883392f7 · outbound

This paper cites Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, and Xiaolong Wang.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, and Xiaolong Wang

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:16:08.396355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4755cc97-5708-49e9-8dca-17168b62fd32 · outbound

This paper cites Motiontrans: Human vr data enable motion-level learning for robotic manipulation policies.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Motiontrans: Human vr data enable motion-level learning for robotic manipulation policies

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:06.429467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7937b644-b941-4356-bcd2-df922e597fe2 · outbound

This paper cites Egomimic: Scaling imitation learning via egocentric video.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Egomimic: Scaling imitation learning via egocentric video

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.331702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d4a2651-15f4-42bc-a1eb-04dee57e9bbc · outbound

This paper cites H-rdt: Human manipulation enhanced bimanual robotic manipulation.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling H-rdt: Human manipulation enhanced bimanual robotic manipulation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.294669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d8fb046-556c-46e9-be0a-b1fbe130e3ea · outbound

This paper cites Emergence of human to robot transfer in vision-language-action models.arXiv preprint arXiv:2512.22414.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Emergence of human to robot transfer in vision-language-action models.arXiv preprint arXiv:2512.22414

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:07.236383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f745101-a823-4be5-83b9-cdb676698249 · outbound

This paper cites villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:52:03.356882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 917c4e4a-4397-44a5-b114-89a12a9de230 · outbound

This paper cites XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:43:08.181865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1890f36-d6ec-4c7a-9d83-af517677c567 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.301450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dd320a0-2997-49e8-9237-c029383ec624 · outbound

This paper cites GR00T N1: An open foundation model for generalist humanoid robots.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling GR00T N1: An open foundation model for generalist humanoid robots

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.301691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 85c630be-2264-4386-b992-0b90a654b087 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:06.332546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f28de25c-0206-48f6-b027-dd0c3d50928f · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:08.135075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40814b7f-80a3-4c01-8466-ef1977bb4886 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.307861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f790fcdb-cfdb-4753-b383-041c3fc6cb6f · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Octo: An Open-Source Generalist Robot Policy

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:06.411602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8b0ca93-bf2d-49ce-b21d-07d8e659db62 · outbound

This paper cites Irasim: A fine-grained world model for robot manipulation.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Irasim: A fine-grained world model for robot manipulation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.316014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3352610-2cd9-448b-ac7b-882311ec358c · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-16T01:14:10.607102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 688d63ad-e467-4662-87ba-7d9336c69662 · outbound

This paper cites Evaluating robot policies in a world model.arXiv e-prints, pages arXiv–2506.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Evaluating robot policies in a world model.arXiv e-prints, pages arXiv–2506

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.288026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f1363ec-75f8-4c22-9654-d09248753e68 · outbound

This paper cites an unresolved cited work.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-23T00:55:16.297728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 492bfc13-402e-479b-9fa7-bb8c9ab1f003 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling DINOv2: Learning Robust Visual Features without Supervision

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:06.381674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5540b4c6-69d3-4d25-ae99-7d8fedacc510 · outbound

This paper cites Qwen2.5-VL Technical Report.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Qwen2.5-VL Technical Report

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-11T13:16:06.635328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d4307745-7156-4dce-963d-bf98539f465a · outbound

This paper cites Gr00t n1: An open foundation model for generalist humanoid robots.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Gr00t n1: An open foundation model for generalist humanoid robots

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.291557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b86e82b-6ba4-45b0-829e-992564c61c39 · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:40:29.471447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fbb87755-cbc0-4eca-9280-e3e130407600 · outbound

This paper cites an unresolved cited work.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-23T00:55:16.304452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc86a0b5-7eea-4a21-93c0-d2fff2ce05bb · outbound

This paper cites Unified Video Action Model.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Unified Video Action Model

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:50:29.857677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7dc2e050-210e-461b-b4fd-77560b2a8d9b · outbound

This paper cites FLARE: Robot Learning with Implicit World Modeling.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling FLARE: Robot Learning with Implicit World Modeling

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:59:09.111136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 164c6f60-bc90-4179-9ea1-e0f34c947305 · outbound

This paper cites Gr00t n1.6: An improved open foundation model for generalist humanoid robots.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Gr00t n1.6: An improved open foundation model for generalist humanoid robots

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.322223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c87f46d5-739c-4bba-8a25-2c8e01b52247 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling The unreasonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.325358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6d71584-fc36-4343-9429-1f1be4752512 · outbound

This paper cites Fvd: A new metric for video generation.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Fvd: A new metric for video generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.328324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 066c18cf-7214-4859-9f6d-68137d998ca8 · outbound

This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605.

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T00:55:16.309048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 4cb49f2a-9a8f-4fcf-b07f-9534e50ccb4a · inbound

Wall-OSS-0.5 Technical Report cites this paper.

Wall-OSS-0.5 Technical Report UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:26:00.412175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 219b068e-1897-4389-84bd-0826d65f2e5b · inbound

X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining cites this paper.

X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:24:37.844827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ff1ec73-74e3-4a7d-b10c-126d3e147026 · inbound

ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? cites this paper.

ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:39:17.465109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0882fa01-a819-42df-8335-27a82fc14cfd · inbound

WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos cites this paper.

WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T05:52:34.589171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cd12f2-d3a7-4b6c-97bc-b35a2338b83c · inbound

PhiZero: A World Model Built Around Physical Language cites this paper.

PhiZero: A World Model Built Around Physical Language UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-07-31T01:50:30.610634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.