Paper Citation Record · LEDGER

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 14 inbound Pith citation observations for arXiv:2505.20256.

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

pith.paper-citation-record.v1
2505.20256 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:55.925858Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:07:21.383338Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:27:15.771664Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy18
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2232d5e1-3447-49bc-a637-195515e6dddc · outbound

This paper cites Baichuan-omni-1.5 technical report.arXiv preprint arXiv:2501.15368, 2025.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Baichuan-omni-1.5 technical report.arXiv preprint arXiv:2501.15368, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:50.909522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d14e2908-41ad-4ccf-8550-d93ac69167d0 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.005221Z

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Observation de29e52b-f9c2-48b2-9b1b-4832bbcb07e3 · outbound

This paper cites Attention-based multimodal fusion for video description.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Attention-based multimodal fusion for video description

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.035632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db73eb7c-7f3e-4be0-910c-c0d9f3f905d4 · outbound

This paper cites Merlot reserve: Neural script knowledge through vision and language and sound.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Merlot reserve: Neural script knowledge through vision and language and sound

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.778055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a800756-ad6a-4554-a341-e925a6bc26bc · outbound

This paper cites GPT-4o System Card.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration GPT-4o System Card

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.365763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a787639-7038-44a8-9486-9a03bd435645 · outbound

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

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.438063Z

Source-reported events for the cited work

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Observation be76c2b1-c408-4058-bf43-522ab05a4069 · outbound

This paper cites From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.602440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dba246a-4fb9-4b09-9aae-66b5f621b3a7 · outbound

This paper cites Mavors: Multi-granularity video representation for multimodal large language model.arXiv preprint arXiv:2504.10068, 2025.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Mavors: Multi-granularity video representation for multimodal large language model.arXiv preprint arXiv:2504.10068, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.665984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec614a37-190e-4dd2-9939-6843c541cbfd · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Lisa: Reasoning segmentation via large language model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.626240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b47e923-4132-4fb2-b4e6-cd716d3c4cb8 · outbound

This paper cites Qwen2.5-VL Technical Report.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Qwen2.5-VL Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.849583Z

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Observation da2c69d7-9b43-48ea-8f86-2b0e4b4ecd34 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.955495Z

Source-reported events for the cited work

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Observation 89728534-4ffa-413d-875c-af011ef21c29 · outbound

This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.067992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab764237-0230-4fb1-8c10-aa1c07c08872 · outbound

This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.167671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e81f7b7-2473-478f-ba07-1d29a9a0dee1 · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Glamm: Pixel grounding large multimodal model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.476621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b90be1db-5ac2-4685-bb08-193e845dc734 · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.274294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e806b0ba-fb70-439e-bafa-89354ea7f852 · outbound

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

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.459678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1768ab9d-764b-4ddd-92f2-d163ff7de1c4 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.541895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c77d780-6a4c-4f63-8797-8eaa616d254f · outbound

This paper cites an unresolved cited work.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:59.154520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4127edd4-722e-45d1-831c-5edaeb2445eb · outbound

This paper cites OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.741949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea6870f-df15-4826-9250-2e6d29f1f584 · outbound

This paper cites Ref- avs: Refer and segment objects in audio-visual scenes.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Ref- avs: Refer and segment objects in audio-visual scenes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.977483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7dc7196d-1d7d-4a5b-9b90-e1fa8f024dc9 · outbound

This paper cites VISA: Reasoning Video Object Segmentation via Large Language Models.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration VISA: Reasoning Video Object Segmentation via Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.905262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0836b924-e8b9-452e-96a7-5763e205d746 · outbound

This paper cites GPT-4 Technical Report.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration GPT-4 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.016804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cf3a5c-718e-402e-a6fa-5b117e9945c1 · outbound

This paper cites Qwen Technical Report.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Qwen Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.127369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f867b5-ad9a-4d51-9c38-7b886fb81541 · outbound

This paper cites DeepSeek-V3 Technical Report.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.175517Z

Source-reported events for the cited work

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Observation fb06e6fa-3c67-441d-a998-be2940b55e26 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.295895Z

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Observation 373e72bc-1f8a-40de-bfaa-f65fa07922f0 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.381768Z

Source-reported events for the cited work

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Observation e126d7be-81b3-4c64-988b-4074a4487086 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.820469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 811d0ee5-5e8d-4291-b3e4-a069be9de93d · outbound

This paper cites Visual instruction tuning, 2023.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Visual instruction tuning, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.519220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7f098b-4c37-4905-9a09-dca496a1a4fd · outbound

This paper cites Deepseek-vl: Towards real-world vision-language understanding, 2024.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Deepseek-vl: Towards real-world vision-language understanding, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.724157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fb3a83b-ac11-422f-95b0-30d323ede06c · outbound

This paper cites Qwen2.5-Omni Technical Report.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Qwen2.5-Omni Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.705119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1596d63f-ea15-4435-9835-bba8ac980638 · outbound

This paper cites Omnibench: Towards the future of universal omni-language models, 2024.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Omnibench: Towards the future of universal omni-language models, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.455156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7acc720e-527d-4dd3-ae3e-2dbdd88aae6c · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.893277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2370a3-20a0-475c-ab8b-8c05fdd5def9 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:53.986036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed74b537-c464-4e8c-ae1c-f4a2f2fb4fba · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.059626Z

Source-reported events for the cited work

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Observation 5f7eead2-aa70-42dd-8e9d-189cd6d4bd3a · outbound

This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.164163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84479aa3-2f2e-43ac-82ad-7c4c856e9879 · outbound

This paper cites R1-omni: Explainable omni-multimodal emotion recognition with reinforcement learning, 2025.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration R1-omni: Explainable omni-multimodal emotion recognition with reinforcement learning, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.301784Z

Source-reported events for the cited work

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Observation 76ba6c11-fdad-4b64-8791-6417ff75765f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration SAM 2: Segment Anything in Images and Videos

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.312129Z

Source-reported events for the cited work

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Observation 091839ed-40c2-4cb8-931b-5ad43caaca4f · outbound

This paper cites End-to-end object detection with transformers.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration End-to-end object detection with transformers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.165672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee01d021-eb3e-42d2-a4e6-7f0ab97fa304 · outbound

This paper cites MeViS: A large-scale benchmark for video segmentation with motion expressions.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration MeViS: A large-scale benchmark for video segmentation with motion expressions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.046533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a828aec-1762-4492-81f7-72aa9620e47a · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Generation and comprehension of unambiguous object descriptions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.852661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2760fb1d-f276-4eb6-8b9e-6aae6a500311 · outbound

This paper cites Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:54.636835Z

Source-reported events for the cited work

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Observation b1dfba77-6695-479a-82fd-bed20612b408 · outbound

This paper cites Avsbench: A pixel-level audio- visual segmentation benchmark.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Avsbench: A pixel-level audio- visual segmentation benchmark

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.620689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d024c242-252c-4501-ae1f-6bcb9173d017 · outbound

This paper cites Avsegformer: Audio-visual segmentation with transformer.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Avsegformer: Audio-visual segmentation with transformer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.429546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2121f94a-ed7e-481f-ac14-118ba329eea8 · outbound

This paper cites Prompting segmentation with sound is generalizable audio-visual source localizer.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Prompting segmentation with sound is generalizable audio-visual source localizer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.234971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fff28671-19d9-4f53-95d3-f7cedab4b6f5 · outbound

This paper cites Language as queries for referring video object segmentation.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Language as queries for referring video object segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.080900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b616ca86-1092-41be-9e2b-4c47089ceeb6 · outbound

This paper cites Robust referring video object segmentation with cyclic structural consensus.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Robust referring video object segmentation with cyclic structural consensus

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.912927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28b03452-ecb1-438a-bf2a-f2a1a82b46a0 · outbound

This paper cites TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.274394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05bc131d-b4c1-4755-91d1-174dceae61f9 · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.376208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5cd32a-4c1b-4cbd-b21c-9fe3843808f9 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration LLaVA-OneVision: Easy Visual Task Transfer

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.437771Z

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Unavailable: canonical work link unavailable.

Observation a3fcd63b-ceaa-46f9-bd7f-2fcd422481f8 · outbound

This paper cites Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.535106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41704680-dbff-4445-9e9d-9142addf6d12 · outbound

This paper cites VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.605882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54bdf31a-b38e-46dd-8339-8ec5817828e8 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.662704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c68b51-6c35-4cf8-b986-ded5388dec21 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.721329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8162af0-fae5-4271-94fb-4f446fa0a774 · outbound

This paper cites an unresolved cited work.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:56.762742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec44756a-9734-4793-b05a-a27563163f71 · outbound

This paper cites AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models.

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:55.925858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 748bcc57-ef43-4c6c-874a-623cafbcc7f9 · inbound

Group Relative Policy Optimization for Speech Recognition cites this paper.

Group Relative Policy Optimization for Speech Recognition Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T12:07:21.383338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fa81bf-7cdf-4185-802d-a848fa6ccfb4 · inbound

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models cites this paper.

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:45:56.128382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a349702-83c9-405d-ae4c-4abb8a12968e · inbound

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:31:32.120343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60a8a706-ac62-4312-9138-576e90d3bfca · inbound

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning cites this paper.

Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:37:59.982181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a35bda6a-7128-40f8-b307-a518e00bcfc2 · inbound

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering cites this paper.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:11:01.973351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cd62825-00f7-443b-b17b-2f24b32fc7a8 · inbound

Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding cites this paper.

Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:03.827672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3eb7c43c-ccbd-4e9a-a055-c0581c6ba1b4 · inbound

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models cites this paper.

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:28.298818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6eb1a9ba-ff0e-40fe-a774-7737a268bd6a · inbound

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models cites this paper.

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T21:18:46.566338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33213efd-ece5-4758-826a-c2693ae4e7c5 · inbound

Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs cites this paper.

Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:22.082628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6baa4af0-3229-4b99-b6c1-dfea506983bf · inbound

AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers cites this paper.

AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:18:32.211166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf8a1670-c68e-4524-ad51-1587028d1389 · inbound

PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition cites this paper.

PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:30:53.325802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e46a2ae7-4b41-41ec-9c82-fcdb79ddfe19 · inbound

RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation cites this paper.

RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:59.904231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59631231-82f1-48ef-91b3-68a6c3106ccb · inbound

Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching cites this paper.

Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.106597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c937d94-f391-4895-86bf-b614ce2e5c02 · inbound

Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

Reference 202

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.773107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.