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Paper Citation Record · LEDGER

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.01934.

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

pith.paper-citation-record.v1
2506.01934 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:29.595125Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:56:19.815569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:58:15.857687Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved36
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50e9a5e4-7940-48e1-b94c-5d6e7d18970a · outbound

This paper cites Pixtral 12B.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Pixtral 12B

Reference 1

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source=pdf_text observed=2026-08-07T11:37:29.357915Z digest=sha256:20aedceba4a18c4f370b22b859d5e4c97c8c7005dbf05f17aa78b66da7f4397f

Observation bd8141c1-7133-4193-a7d0-aac7c6faba2a · outbound

This paper cites Seed-TTS: A Family of High-Quality Versatile Speech Generation Models.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

Reference 2

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source=pdf_text observed=2026-08-07T11:37:29.364137Z digest=sha256:08d301451b9da7c311da9f7224f5ee7f7647d73b97433731d100b67daa16501b

Observation 968f1d6c-5107-4af5-a99b-a857502ce664 · outbound

This paper cites Qwen2.5-VL Technical Report.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-07T11:37:29.369919Z digest=sha256:70549661204078d770ae279ca55314d62a7c0b21873066b57532c7db3e6ad0c4

Observation ca96cf19-8ecb-4f21-bc28-8662016bbdbb · outbound

This paper cites Audiolm: a language modeling approach to audio generation.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Audiolm: a language modeling approach to audio generation

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.375474Z digest=sha256:7ce821dd33735d734b46e0a814dd7e3c5e0e8e1ab418fd79445faff221f5d1fa

Observation db38e9aa-e405-42f6-8626-822994ef0f0f · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 5

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source=pdf_text observed=2026-08-07T11:37:29.381125Z digest=sha256:fe9bc9611db83801a41c24c1c1494453fc25c791656c48e11d8336ef7fb8b80b

Observation 52535a31-8dc6-4b82-9de6-c4ab3c330995 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 6

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source=pdf_text observed=2026-08-07T11:37:29.387948Z digest=sha256:f6ee1aefd9b6735b4c525e1d8fedcdb696e7fad85197c9878137dcfe951746ca

Observation 9a44d9e3-7d53-4063-97cf-0cb0c20ac3a0 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 7

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source=pdf_text observed=2026-08-07T11:37:29.394082Z digest=sha256:8e97d1f71851dda5dc0708d231e1b8ef0d9a4787fa4b1053f16dec147b52b6e9

Observation b35f5ec1-0f86-42ca-a4e5-1425f62ae257 · outbound

This paper cites MinMo: A Multimodal Large Language Model for Seamless Voice Interaction.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity MinMo: A Multimodal Large Language Model for Seamless Voice Interaction

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.400192Z digest=sha256:03f655ac9b2156acc2b59f297fa7af71634fa270f291fafbee405054a102ac48

Observation 35b9b5af-8439-4a37-ac22-a55620a8a29c · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 9

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source=pdf_text observed=2026-08-07T11:37:29.405699Z digest=sha256:08ae832bfc62b9bda5002c1783971b1442853ae492d8807f5d2d3c2117f03eae

Observation 7ee4bfd6-b237-46f0-82fe-4747c7b343b2 · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 10

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source=pdf_text observed=2026-08-07T11:37:29.411137Z digest=sha256:fa680f5d260505402555c83252f349c4ab29a7a742bbce257328daa8060a4f7e

Observation 3d8b9c4e-c2d0-474e-931d-6168a4fc581d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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source=pdf_text observed=2026-08-07T11:37:29.416871Z digest=sha256:dfdd23cceb25cac29cd7eb9d5f95cc6071e421d645706c5e5752919186ecf5dc

Observation 205bebd4-f948-4f6b-a46b-29ab5bb3ec73 · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Moshi: a speech-text foundation model for real-time dialogue

Reference 12

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source=pdf_text observed=2026-08-07T11:37:29.422356Z digest=sha256:76a077d9b542efb7f0aa059ec5e50940769f05eca0a627f5ab942f18a5a0d2db

Observation a718f664-0e4f-4f66-8744-7b1f5e0cab0b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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source=pdf_text observed=2026-08-07T11:37:29.428310Z digest=sha256:b592b5faa45ed2755078822d292b0c81de86e65bb4f9fe3aea7bd037406f299b

Observation 364c6383-86cc-4d77-8d5f-e928fafe088c · outbound

This paper cites How Far Are We From AGI: Are LLMs All We Need?.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity How Far Are We From AGI: Are LLMs All We Need?

Reference 14

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source=pdf_text observed=2026-08-07T11:37:29.434061Z digest=sha256:a4ab77cdf3fa85aa5b4c39caefa0e93019a1b40172f57bcca2194958a31342a9

Observation 8ec743e0-64da-49fc-9483-588b2c0c3703 · outbound

This paper cites OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Reference 15

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source=pdf_text observed=2026-08-07T11:37:29.440109Z digest=sha256:52d518b797d6a01b998ddeb4bcf2327fe4e0a914d952eb23077bf822289c9577

Observation aa6cc821-136c-4830-bd9b-73701edc8adc · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 16

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source=pdf_text observed=2026-08-07T11:37:29.446207Z digest=sha256:1a2ef29669a3fc58dc8a91fd3c8d9af98de441e2f3a4970826756f245f0e21ba

Observation 2a22f8f6-a9f4-4289-aa66-e239d873b158 · outbound

This paper cites Rae, and Laurent Sifre.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Rae, and Laurent Sifre

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.474400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.452090Z digest=sha256:52db87c2a688f7f5a8bf2f273f78ad300c276583d16e62e063fe7d8a846e3dd9

Observation 78788d98-ae0c-4229-862e-5c5f67551f8c · outbound

This paper cites GPT-4o System Card.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity GPT-4o System Card

Reference 18

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source=pdf_text observed=2026-08-07T11:37:29.457403Z digest=sha256:40bbabbc7e1c5cb43109a824b4f178d166164ce416e137bba4ecadc6f6375df1

Observation 85d532d8-5615-47e3-99ff-c3e152556736 · outbound

This paper cites OpenAI o1 System Card.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity OpenAI o1 System Card

Reference 19

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source=pdf_text observed=2026-08-07T11:37:29.463050Z digest=sha256:c024674f44e60f65e00802aed3172f620630f15e3d28054c3e1d76a1ec3fe078

Observation 0c5a5767-4ff6-4f06-898d-3982d124a165 · outbound

This paper cites Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, and Chelsea Finn.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, and Chelsea Finn

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.453994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.468653Z digest=sha256:a02c6203277f2f5ba42034e0b2f20d4b79c845853f5de19f6d117d07a1c75671

Observation ff315ce8-c3b8-4a2f-92e9-141879c86774 · outbound

This paper cites Hashimoto.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Hashimoto

Reference 21

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source=pdf_text observed=2026-08-07T11:37:29.474644Z digest=sha256:687436881a3e4798d85c1fd3c2de8f3280729f71ab45f0f26031d83ff59b624a

Observation cabe497e-c6ff-4387-b2b0-3e4a29c6591e · outbound

This paper cites DeepSeek-V3 Technical Report.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity DeepSeek-V3 Technical Report

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.479700Z digest=sha256:c220b36561ab04cd359ea058acc4fc2169412df6ccdeffedc2c35235ad12df39

Observation 2bb8a380-5e3c-43e2-87b1-7bb621fae84b · outbound

This paper cites Visual instruction tuning.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Visual instruction tuning

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.421631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.484656Z digest=sha256:7af46646bd89b48e5600a31b7f9f0e0695f2b3a83dcdb6e9aebea528d775ae2d

Observation bc1d0369-1056-47e4-aeea-0cb04b77de71 · outbound

This paper cites Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Reference 24

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source=pdf_text observed=2026-08-07T11:37:29.489626Z digest=sha256:0d0e928735647864af77106a73e55285e54ccbb86552858f926761befbe718e4

Observation f3d92625-db85-4e81-b8cb-5f32161f443c · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Introducing meta llama 3: The most capable openly available llm to date

Reference 25

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source=pdf_text observed=2026-08-07T11:37:29.495560Z digest=sha256:aecbf396e8ff1d3390753cbc1d777f5c828c8376f478e379a9aa32506a9eed55

Observation a82b8b51-06c7-4edb-8cc2-9f5c41cb3203 · outbound

This paper cites Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM

Reference 26

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source=pdf_text observed=2026-08-07T11:37:29.500611Z digest=sha256:e9184c45a1eab38933777380ef3b2d33fc6f26211608668c7750f13317ab7796

Observation bad060aa-ea46-4570-95f6-d04403a5d19c · outbound

This paper cites GPT-4 Technical Report.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity GPT-4 Technical Report

Reference 27

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source=pdf_text observed=2026-08-07T11:37:29.505954Z digest=sha256:004d062c8f84cc8cc1c111eb8b4b05e305267e8f308fe20d1eeb44bf532df394

Observation d02f64a9-f68b-4216-9716-c1ad985ecbd4 · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Librispeech: an asr corpus based on public domain audio books

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.391532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.511494Z digest=sha256:cd328e6950fc8c0fa44185ec43b6c3c5259278f6335c95c673313d0867a75953

Observation dd42e150-6283-4597-943b-55f0b29e69d5 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Robust speech recognition via large-scale weak supervision

Reference 29

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no resolver link, observed 2026-08-07T11:37:29.516219Z

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source=pdf_text observed=2026-08-07T11:37:29.516219Z digest=sha256:7e15ace2492803ffa1dd3cfcf9f667a9acadaf2d60587ada9b863da3573c6c97

Observation 700daae0-b968-4cde-a896-0c462a505c51 · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Cambrian-1: A fully open, vision-centric exploration of multimodal llms

Reference 30

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source=pdf_text observed=2026-08-07T11:37:29.520942Z digest=sha256:e0e808ddbffab9cba7a00146d736cd9c2621ec024e19ba3f75cd84ce452184b8

Observation 0ef88fd6-a900-4fa0-9932-4189ab38e674 · outbound

This paper cites Attention is all you need.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Attention is all you need

Reference 31

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source=pdf_text observed=2026-08-07T11:37:29.525946Z digest=sha256:90835d8a16bb0dbcfccffd62fe2168fcca90824413f6d76f4ca17ba9954e0fb5

Observation 77089db2-4afc-4d26-adc4-7de818332873 · outbound

This paper cites A Full-duplex Speech Dialogue Scheme Based On Large Language Models.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity A Full-duplex Speech Dialogue Scheme Based On Large Language Models

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.532711Z digest=sha256:fc88dda959cbacf3d04710a205b3583f8541b46efb352b5f602168971d4cc15e

Observation f9f5c89c-e45a-466c-8a39-ce634b0e827a · outbound

This paper cites Toward Embodied AGI: A Review of Embodied AI and the Road Ahead.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Toward Embodied AGI: A Review of Embodied AI and the Road Ahead

Reference 33

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source=pdf_text observed=2026-08-07T11:37:29.538961Z digest=sha256:f18f4e1bdd5f0ab4ec4a5d8f6d9bfa80a7d4b3d650d5d82d819e437e1881fb55

Observation 1497ecc2-ba79-45d4-beed-495bb4be1ccb · outbound

This paper cites Realworldqa, 2024.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Realworldqa, 2024

Reference 34

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T11:37:30.339146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.544455Z digest=sha256:61baea279ce10aa6cb188adaf248f935b5dbb101a1f94d20886fd260456297a0

Observation 3f01608d-d34d-4441-ae77-948c9a6e6f7c · outbound

This paper cites Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Reference 35

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source=pdf_text observed=2026-08-07T11:37:29.549793Z digest=sha256:cd09d4c50ebf6b3938dd6fa9911e8a21eaa0543ee797a2488fc6b8184cf8d7db

Observation 43ecb25e-55e9-4531-9a7a-c1b9d7121b3a · outbound

This paper cites Qwen2.5-Omni Technical Report.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Qwen2.5-Omni Technical Report

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.555975Z digest=sha256:b43724d9bd3494af7502fcb42c4cda1584b50404f6595069c201a1724622ec82

Observation 1ce45bce-61fd-40c5-87a5-094ce26829c4 · outbound

This paper cites Qwen3 Technical Report.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Qwen3 Technical Report

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:29.561570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.561570Z digest=sha256:970e049a427acf8ef9f4ac6e9f240f5c588c19af807b2a5416f5da4651ac418c

Observation 8672deed-b502-4933-8609-e00e170f9591 · outbound

This paper cites nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:29.567091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.567091Z digest=sha256:672bb0919bb96bc5cca05c2b0c2cd296bc0f30df805ab920f45dd89129ba2058

Observation 3b4f3436-19cd-489e-916d-b31c41bebdc1 · outbound

This paper cites Minicpm-o 2.6: A gpt-4o level mllm for vision, speech, and multimodal live streaming on your phone, 2025.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Minicpm-o 2.6: A gpt-4o level mllm for vision, speech, and multimodal live streaming on your phone, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.322555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.573571Z digest=sha256:64e1070908d78c1b0a9a1a9bff80e507adfa66c98d11e21f9ed770a1c0a7602d

Observation 15c2a814-dcf7-46ae-8d30-826439d4d860 · outbound

This paper cites Scaling Speech-Text Pre-training with Synthetic Interleaved Data.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Scaling Speech-Text Pre-training with Synthetic Interleaved Data

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:29.578574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.578574Z digest=sha256:497c2bf69d24cf400bcc76aafcf25684979d4d53d13153c36c84fdbc120bcd5e

Observation b9d5610c-f5b1-48bc-b077-e47adcf00a40 · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:37:30.303980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:37:29.583577Z digest=sha256:92eda2fb185f55f0a59e497b866a626e062a030ae446493f2760ef5116bfa661

Observation be8c39de-ae70-4e0d-8c33-8fc5ed74d9d9 · outbound

This paper cites OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:29.589186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.589186Z digest=sha256:634a3bea0c8e9501a3b1435f3ac830709f099d3ea9b169bf33691b27a28a1afe

Observation 3f76f1c3-893c-4f7f-8ca5-7082a4e55d05 · outbound

This paper cites Beyond the turn-based game: Enabling real-time conversations with duplex models.

RoboEgo System Card: An Omnimodal Model with Native Full Duplexity Beyond the turn-based game: Enabling real-time conversations with duplex models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:29.595125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:29.595125Z digest=sha256:fabe287aeecd10b7a0160df12e396abf4742873befa421b6c5c1c3cfedc3a564

Pith citing papers

Observation 1a1e656d-e8ba-4e08-9c87-914b48a15b8f · inbound

Do Audio-Visual Large Language Models Really See and Hear? cites this paper.

Do Audio-Visual Large Language Models Really See and Hear? RoboEgo System Card: An Omnimodal Model with Native Full Duplexity

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:58:15.859076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:56:19.815569Z digest=sha256:b1351a3e92b4d6c08082ec41881b000a464420ea534922be9fd66e9f6dbde163