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Paper Citation Record · LEDGER

iFLYTEK-Embodied-Omni Technical Report

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.02542.

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

pith.paper-citation-record.v1
2607.02542 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T12:21:16.963000Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e2751ee-0004-4416-a67b-6be8ee22ac04 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

iFLYTEK-Embodied-Omni Technical Report Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:c049d587cf15844482b8da8f4c9f6f02b656fba0175f90b7f8c38b836e3b5881

Observation 0f3c5a8a-1b89-4599-86ce-f50c0db5f981 · outbound

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

iFLYTEK-Embodied-Omni Technical Report $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:62ff1b14f6992435fdceac834ba09f95f5b96f29ad785697e74da354d03d88f7

Observation 3bf54f10-1d96-4af2-a14c-49da641d554e · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

iFLYTEK-Embodied-Omni Technical Report $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 3

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:3e160d4b029a6f6ca15ee0fd2411e1c1292114dcb8b93787e15d6905aa1b1b22

Observation 14eb1fcb-07f8-481f-800c-9b7a015c1a78 · outbound

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

iFLYTEK-Embodied-Omni Technical Report Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems,

Reference 4

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:a1081f8af6efe79b133cfbe6e1afbd285eaf05cf70af8215693fc9eb258e45e8

Observation 186f6040-da03-458c-8e24-815e5b4cd2ac · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

iFLYTEK-Embodied-Omni Technical Report AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 5

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:3e09e9d7875879ae7b8466c98f3cd50274c949ad2440d208d3607c0bab4044b4

Observation 9e728008-efab-41f7-a881-0db805d360f9 · outbound

This paper cites Learning universal policies via text-guided video generation, 2023.

iFLYTEK-Embodied-Omni Technical Report Learning universal policies via text-guided video generation, 2023

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:f4fe5c3d1027ce598f141f2b041f526853c75ce525d94e4e8b56267e787c2224

Observation 02496fb4-be63-4472-adb3-5ee9d78284ca · outbound

This paper cites The "something something" video database for learning and evaluating visual common sense.

iFLYTEK-Embodied-Omni Technical Report The "something something" video database for learning and evaluating visual common sense

Reference 7

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:a581e44a5b978715774642f5bf0cf00813c629835e83676550080b88fa42dccb

Observation bdd799a9-e5b1-4425-b886-bb1651d94de2 · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

iFLYTEK-Embodied-Omni Technical Report Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 8

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:a13d188c47b8d89a5b5dfe0a852d739c886b464a75a12f0008201117dca1f893

Observation d6e44eb9-c443-4b43-ae64-36e5fcc19403 · outbound

This paper cites Scene reconstruction with functional objects for robot autonomy.International Journal of Computer Vision (IJCV), 2022.

iFLYTEK-Embodied-Omni Technical Report Scene reconstruction with functional objects for robot autonomy.International Journal of Computer Vision (IJCV), 2022

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:50b332c0cec54eb616e74b2fb43ea70883e00b6dc81fc2f92de95d9c6427d77a

Observation 5e4b373d-0184-4b1c-935d-c357c7705b58 · outbound

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

iFLYTEK-Embodied-Omni Technical Report EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:b28e3bb92c9e927dffe2878f39d0713ef477ea1669af8af1a1750976beae3cd6

Observation 96931867-b544-4cf3-a5b9-6df02b8f1a60 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

iFLYTEK-Embodied-Omni Technical Report Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 11

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:d00f8fac3d8b1c2b0439bfb812beee59819e8afb7b7fe1d03d43377853f29926

Observation 36ebdec1-5b99-44f5-94d3-504ac052be60 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

iFLYTEK-Embodied-Omni Technical Report Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 12

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:10773c4437454fb12b3bc228e7c5a54851419f33a8be91a3b47cf48d0388eb87

Observation e1f1d589-f776-405c-9673-a75e97945aff · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

iFLYTEK-Embodied-Omni Technical Report DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 13

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:31636cdd7d21259b3f52879616633edeb4d8a7ca9abea20fd41b38b524fa7e73

Observation 22984ed6-0152-42ab-897a-620be1bbc561 · outbound

This paper cites Openvla: An open-source vision-language-action model, 2024.

iFLYTEK-Embodied-Omni Technical Report Openvla: An open-source vision-language-action model, 2024

Reference 14

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:2aa5876e890a0db13791d7660cce8841fb0e83d1672b41d5a9c3c3ac2607ee08

Observation 0fced5b0-9e3c-4cf5-85b0-4d950c630d0b · outbound

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

iFLYTEK-Embodied-Omni Technical Report Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 15

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:50c9127df8d71e8e2c2d368477969901c63b98fb1e30803953399ae95c1601db

Observation c2976826-44d4-45ab-96c3-5c17f549d5b9 · outbound

This paper cites Causal World Modeling for Robot Control.

iFLYTEK-Embodied-Omni Technical Report Causal World Modeling for Robot Control

Reference 16

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:19c4774d08b12919465fc6879577108aa9ca39d0186974064fc7a3f7529a91ce

Observation 391cc95e-bd8b-40d8-8564-bfbe9ebc3f8b · outbound

This paper cites HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction.

iFLYTEK-Embodied-Omni Technical Report HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:a1fbad029a8762e6c4dbd0d3fa74abf578e952f994958656627b4302edda0e13

Observation 821d1652-02c2-4d82-b0bd-3308d2f4f2ce · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

iFLYTEK-Embodied-Omni Technical Report Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 18

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:6ee0aa59ed3fb8a11bdd3742febd8c26e52236e6b4266986ccfeee5d2b22ab92

Observation 5d5bcbea-2f1a-4453-9174-e093586b9f23 · outbound

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

iFLYTEK-Embodied-Omni Technical Report mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 19

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:3ff97c03fdcb8f0ffd8d6fc321a6365d637fd7eae07125c32b96f3aeb5bf06ce

Observation 7d22417f-46df-4c2e-adbc-d398545009c2 · outbound

This paper cites BridgeData V2: A Dataset for Robot Learning at Scale.

iFLYTEK-Embodied-Omni Technical Report BridgeData V2: A Dataset for Robot Learning at Scale

Reference 20

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:a643ce08cc7b2ecab657bafe910232e52bdd8008e1cf7e531be0b755ddb1ccbf

Observation b4a35145-a348-4dc1-8802-b35b44b9e3a0 · outbound

This paper cites Holoassist: an egocentric human interaction dataset for interactive ai assistants in the real world,.

iFLYTEK-Embodied-Omni Technical Report Holoassist: an egocentric human interaction dataset for interactive ai assistants in the real world,

Reference 21

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:fbb7fec054850b8684555c35434d4db80382bd0775d453a69627a1df80413542

Observation 5f31ccf9-690a-42bb-b9c5-3aeb01586ed4 · outbound

This paper cites HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World.

iFLYTEK-Embodied-Omni Technical Report HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World

Reference 22

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:19ade134de1877d1aa9421fb3b663af1ea72025075bf2296a846488802abf05d

Observation 58d28c96-4fad-4bb4-b6a7-adabeebe6cf0 · outbound

This paper cites EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation.

iFLYTEK-Embodied-Omni Technical Report EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Reference 23

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:e4664db2686c473be878c96a91276e3e95deb1c919269b9a8c35c9be31a94eb2

Observation 71f87025-745a-40c4-8dde-d2c83b027f6a · outbound

This paper cites Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation.

iFLYTEK-Embodied-Omni Technical Report Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation

Reference 24

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:6027a4120ecb73899a8bdc9bf2555faf50422917604d927e935d2ecaf6b1382b

Observation fd842d59-456d-47d9-bb55-481209e1734b · outbound

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

iFLYTEK-Embodied-Omni Technical Report World Action Models are Zero-shot Policies

Reference 25

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no resolver link, observed 2026-07-12T12:21:16.963000Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:752398eb7cfbd55c09ec60ed49f9a2b217a1334e9d46d6e8c4da07cac461e1a4

Observation 31913073-28ba-4317-a18e-79d21a51a8e6 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

iFLYTEK-Embodied-Omni Technical Report X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 26

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:87c1b90d2c37ea7a9c0a3266c5d1879f1e6f4f439945c10627c265bda165788a

Observation 2b293a50-f39c-49c8-877b-25923b6e2216 · outbound

This paper cites Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets,.

iFLYTEK-Embodied-Omni Technical Report Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets,

Reference 27

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:bbd94cf2db28001f4be53ea028e51717300f855fce8837b94bc979c08526fad2

Observation e0571635-4ae9-42ea-b8ae-33494ae407e2 · outbound

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

iFLYTEK-Embodied-Omni Technical Report Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 28

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source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:d42d8e67e845ad6b1f83d7f0b08b9a3eba5f0ba60a2d76d855a0115eb7b4522d

Observation e4bed66e-fbe4-4d45-be31-037cbe0356ed · outbound

This paper cites Galaxea open-world dataset and g0 dual-system vla model, 2025.

iFLYTEK-Embodied-Omni Technical Report Galaxea open-world dataset and g0 dual-system vla model, 2025

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:21:16.963000Z digest=sha256:066c509321c821b013dc230643c5fc56ba277ad682e903b23e16d3828531fce7

Pith citing papers

No inbound Pith citation observations are available.