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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 2026-08-07T06:34:17.273281+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:fb1bdabed684e1f31a0973cfaa4a9c62dca1e3a26d26e9279b14d1d98455ad0a

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:b300c509476b920e16b6da6772295c1e247821f8a8c995081ed1dfa27e007be8

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:f7b7ead32dedec0107f87ec010adce85868d57680f84569f3e1b4aa870cd9450

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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source=pdf_text observed=2026-08-07T11:37:29.375474Z digest=sha256:f7334121a4b5d77a00006b71d093d194698c11ff0001030b473341db18ffaea7

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:a9636ed4b5044b316299ec91e176b33546f3f29f5d51820d9364ac9635320553

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:d6074ecadf0cebc22348de28afc16a32319a95c8ea2fdccb0c00cfb167af8d0b

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=sha256:87679565ec33b137ce4389f540a0e752d3acc7b35a1c373beb0f0aa8ea3aaed8

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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source=pdf_text observed=2026-08-07T11:37:29.400192Z digest=sha256:edc1a81527ad7b485e911bc09b6066904ff695efab3f77c3eb31993525efddab

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:bbfaf57907708022e650d5970b7bbef3b3476293d5159496f174e8a305c9c621

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:bb6d5cc9947f7c0155f8e64738d13efa02e1fff51b980a7da8841bc0198c48bf

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=sha256:2236bdb628c3666624bb6c5f423f05544bfbd1589829fc9f0e1d55145b78da08

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:d457edb3a0a8d6cb53b5fdf3df7b7981d13c4065d3aaabd2a1484bfa799363b9

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=sha256:8ada2396021a62a98f91c14c4ced084407c650b9808b0d0c591d3c481a5334c5

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=sha256:13619a78149398bb4f60d8cb90551391a0731b0d3f6950202f2852d5370f2b4b

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=sha256:0e0932e127ddd2f84fc41ebcc4e9aaec96b6ff9145d6b2bfe60f23f02a525fec

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=sha256:5134bc8ea26ea9aff07690a0a3366f08cba54453ba4938889419b55a504001d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.452090Z digest=sha256:ed30e6f5255780cade176912b3ab5d6c3174eac132368ae07e4a6cd5d43e8501

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=sha256:49bbc7d0d74166f9615fe6ddf7542900f4cef8f64dd57f41ad66d6db4ed87145

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=sha256:0f1c99edd0656f547b7dd1256f0ae0068e8a660a046c1c6de1c3b2d702f19fa8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.468653Z digest=sha256:dc7e024d20c3ec1f4afa3d52c509b39980c1579e7df3e18cc39069f0ef8ff5a1

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=sha256:4a10351b1dc35a111cec42341b4589ec2125514f22153ba5a6ce0b08cf2396e2

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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source=pdf_text observed=2026-08-07T11:37:29.479700Z digest=sha256:153a487669579961d1dc34f336ea3a07c46952a1a0615772787b152d8cf7cd39

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.484656Z digest=sha256:4280d31d80eafdad7f1a1799da16a0d64ef4caf0c102107c6547dd45092f3995

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=sha256:1cbe5cb0178879eca48b846bef05a6995a29cca7846452d4bc9169d48f5ba751

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:dcc66e52232910433cf6b04f77c416b65d5a4542889775bf2a86013476665085

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=sha256:5c4cb4271de8b3b7542ac92c6cbf3e7b23164fec1d8308ff924ed49512772709

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=sha256:7c6d3fb58bcbbd88fd5e4bf8d06af634fcfbd62355b3cdde1d47c63a2513ed37

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.511494Z digest=sha256:ea24955314a4630639fe653696db184d2312f2f96036863dd6b5ee33e0a9021c

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:fcefee14c948339aa3359a72a1fa158c9c1ac97aca6624d7f82a009dfa5c54de

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:dd940f3e9b3dbdb32bb400d05fd7df1966b3cfba841f7e610e52cec89f3b7df0

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:e9d3d563384a8b4c58470242f85bb8d0cc1b31b18b915effd6acc6d78da3b9fd

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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source=pdf_text observed=2026-08-07T11:37:29.532711Z digest=sha256:afe18648f3310b375ef7fbe47c0ca035f10126392652c2b00457df8ab9506cd0

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=sha256:7b093ecf93b3d36ce431df511334b8077f0a6ece9d04512926f8ca0fb3717481

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.544455Z digest=sha256:d6d8df5349121194de9d2e30f6206cdf148bd2524ae884579a4afcd1e510ea38

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=sha256:3ecf2aff60a349bc2cd7aa1f0ea25252a99c59e74842bca617a79892c5d5d331

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:f6d09c64e62d8cb232e4b4f13e3410533f000fbeaf5246443ecb59e754d48dd9

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:d693ee5704af3c2ea88771b90b247187ca1925d5a02b74dea8a6678791b4cb31

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:bc1daf6a56210b4b0d1c09583a2fb52e305e06f3d038954fc6ecbc4d335c714f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.573571Z digest=sha256:7028c3b61977722596ce7a6640c1fb0177c8bb32b94ab05b649f8473ed2788b3

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=sha256:549f25f2c9f9788c2ae8b508241ff6edf5bfa0e36c301a8c6c3386864e03c672

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:37:29.583577Z digest=sha256:68925af1edfabbe3a86bdc038074f402b7e5ff90dc17fa42e3c4449c4c3d9057

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=sha256:9c9c8d9d2763e0fc092adab13775f5f5c2cc6bca568ccb32b49ef0a5ef6b7318

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=sha256:2a01def41c63957a0d26331218272ac6c42ef43491fc30aa031d290d3cbe7afd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:56:19.815569Z digest=sha256:6e906f2ef93bb6c3316cc9b72ac41f83c5c15064caf538f1e3ee2474f92ae5f8