Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:27.827281Z
Paper Citation Record · LEDGER
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 12 inbound Pith citation observations for arXiv:2505.04623.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:13.645079Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T06:36:10.581673Z
Reference resolution
38 of 38 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved25
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4b583074-11a8-439f-a37f-c14b260aa7d5 · outbound
This paper cites Language Models are Few-Shot Learners.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Language Models are Few-Shot Learners
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.654416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a31147-77fb-4652-b64d-67a13a4d6525 · outbound
This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.660010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a38cfe-52a2-4db5-b38e-7d94f9226696 · outbound
This paper cites Meerkat: Audio-visual large language model for grounding in space and time.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Meerkat: Audio-visual large language model for grounding in space and time
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.487046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d0ff539c-5fd0-4e91-aaa5-997b077ec6c6 · outbound
This paper cites Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.670138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 896af91e-17e4-4d06-9681-f14ead0631b9 · outbound
This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Video-R1: Reinforcing Video Reasoning in MLLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.675101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81be52e9-c157-40db-9323-3d4f55f1569b · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.679804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 604dcc0c-8dae-4bdc-acb1-9d2f44af38ba · outbound
This paper cites Aligned better, listen better for audio-visual large language models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Aligned better, listen better for audio-visual large language models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.473498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f6786f8a-ce2f-41d6-9a5c-376375de6683 · outbound
This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.689476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3755e8f-7520-44c5-b5b9-398597adbc9c · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.693947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9deca145-4eb3-4eda-bfad-e25fc82b5eeb · outbound
This paper cites Reinforcement learning outperforms supervised fine-tuning: A case study on audio question an- swering, 2025.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Reinforcement learning outperforms supervised fine-tuning: A case study on audio question an- swering, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.455823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3fd20983-66b3-40b1-9cba-1b76e40a456a · outbound
This paper cites VideoChat: Chat-Centric Video Understanding.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning VideoChat: Chat-Centric Video Understanding
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.703419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ddb042e-a39a-467e-ba8e-c519944e414a · outbound
This paper cites OmniBench: Towards the future of universal omni-language models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning OmniBench: Towards the future of universal omni-language models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.708273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db271f2e-c079-482e-a40d-b05fe25f8bfd · outbound
This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Visual-RFT: Visual Reinforcement Fine-Tuning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.712721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fa0bc64-62cf-4278-aafd-8ca2b1111978 · outbound
This paper cites Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.717662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf64872e-1e45-4470-a8a4-3c4bd825e0d9 · outbound
This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.722104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55587098-4e55-4ebb-9224-1afc8103add8 · outbound
This paper cites ChatGPT: Optimizing language models for dia- logue.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning ChatGPT: Optimizing language models for dia- logue
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.441405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 02d9c16e-2fd3-410e-85c1-8258fcfb539a · outbound
This paper cites Introducing OpenAI o1-preview, 2024.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Introducing OpenAI o1-preview, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.427094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation af057320-42e9-4ee4-b1d1-493c261e4fbd · outbound
This paper cites Training language models to follow instructions with human feedback.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Training language models to follow instructions with human feedback
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.412309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 818984fb-e77a-47a7-a7f9-31f034ed8550 · outbound
This paper cites Robust speech recognition via large-scale weak supervision.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Robust speech recognition via large-scale weak supervision
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.397688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30d61480-77e3-40eb-a381-12f2b1ae17ec · outbound
This paper cites Direct preference optimization: Your language model is secretly a reward model.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Direct preference optimization: Your language model is secretly a reward model
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.380972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5f052796-5804-430d-a8eb-bd3a3f2c2dcb · outbound
This paper cites Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.749182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e45f8923-ab84-418f-b9ef-4a0d9f455b99 · outbound
This paper cites Proximal Policy Optimization Algorithms.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.753728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29d67698-bd4b-47bf-9fdd-7277381470ef · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.757989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7c95f25-c2f4-4215-9faf-19278f05bbc6 · outbound
This paper cites Audio-Visual LLM for Video Understanding.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Audio-Visual LLM for Video Understanding
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.762524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 794e8067-f56a-4b2e-bde6-ff49c4c7946f · outbound
This paper cites Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.767079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 963ef653-9f17-4b5f-a022-d3f4d8471171 · outbound
This paper cites Hawk: Learning to understand open-world video anomalies.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Hawk: Learning to understand open-world video anomalies
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.364887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c0f5dbda-e996-4b8e-9ae8-c033c9bea811 · outbound
This paper cites Sari: Structured audio reasoning via curriculum-guided reinforcement learning, 2025.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Sari: Structured audio reasoning via curriculum-guided reinforcement learning, 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.350237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2cec31b1-09f4-451e-99bf-792fb76c1a22 · outbound
This paper cites ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.781024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c7eab77-d681-4a8d-a209-6c61a6932a84 · outbound
This paper cites Audio-reasoner: Im- proving reasoning capability in large audio language models,.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Audio-reasoner: Im- proving reasoning capability in large audio language models,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.335871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e800d49-314d-4a38-8678-63d2554c9d14 · outbound
This paper cites EchoTraffic: Enhancing traffic anomaly understanding with audio-visual insights.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning EchoTraffic: Enhancing traffic anomaly understanding with audio-visual insights
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.320586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 14e74d12-223f-40c8-99e1-52830f61462b · outbound
This paper cites Qwen2.5-Omni Technical Report.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Qwen2.5-Omni Technical Report
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fd210cb-f8a9-4e66-b6f0-a45c09f85238 · outbound
This paper cites Avqa: A dataset for audio- visual question answering on videos.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Avqa: A dataset for audio- visual question answering on videos
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:28.304745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a93e76ce-37e0-45b8-9e13-c96ca0fc2221 · outbound
This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.803799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bc1a75f-25e6-4a3b-b580-c93f4834e014 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.808323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a53c6b4-b4dd-47ae-b0eb-acb21f4e9081 · outbound
This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.813403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef2f2f44-9146-4cf3-ba64-eafcc5f6c11e · outbound
This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.818013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7c1a011-9a13-42f2-a884-9b0061a923b5 · outbound
This paper cites R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.822566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd67daff-5bc9-4a8a-8bf3-cf5a2b685f90 · outbound
This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:27.827281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation bb8cd184-7364-4401-a920-23f1239dae01 · inbound
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:31:13.645079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8809531c-3f7a-4032-8af3-4ab46ef679fb · inbound
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design cites this paper.
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:40.398754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2caf0f52-2c2f-4cb8-bcf5-c365bbbc7f9b · inbound
HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context cites this paper.
HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:15.038514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f29198a-1efa-4caf-8739-a82b313520b7 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 264
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:48.404714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e0a7d057-b8c4-4e62-9dde-6caf0ffe500f · 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 EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:45:56.120572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6cbf7b30-a75b-4436-97f2-cf6cb8b1392d · inbound
Development of a 3D-CNN-based Prediction Model for Migration Barriers in Plasma-Wall Interactions cites this paper.
Development of a 3D-CNN-based Prediction Model for Migration Barriers in Plasma-Wall Interactions EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T09:25:05.174833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a9dfaff-cf0c-4434-995f-49833a1bc469 · inbound
Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs cites this paper.
Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:25:49.792701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb2b7095-f2cf-4861-8605-52d8989c1bad · 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 EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:11:03.503815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 87eebf59-fac5-45cc-b15c-4399c9236ab6 · inbound
Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale cites this paper.
Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:03.279034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1afb3801-19f9-4cf1-a99e-336a9f694b0a · 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 EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:10:22.117814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 43e2786f-801b-4e1b-aab3-a201e66cfbbc · inbound
AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers cites this paper.
AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:18:32.200681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dcd6a649-c1a0-4046-af9f-6f01963efd5f · inbound
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning cites this paper.
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:36:10.587746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.