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Paper Citation Record · LEDGER

M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.18778.

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

pith.paper-citation-record.v1
2502.18778 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:07.736425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.353562Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa731db0-4fbb-40fc-9444-209b2dd5062e · inbound

Ming-Omni: A Unified Multimodal Model for Perception and Generation cites this paper.

Ming-Omni: A Unified Multimodal Model for Perception and Generation M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:07.736425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:07.736425Z digest=sha256:ac67372d3f225919e5a9be1fc20a968c6f96de515b9e466d4c024e779fbafc75

Observation 6907a3a9-4e83-4aa4-a288-2d6d4560034d · inbound

Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model cites this paper.

Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T00:33:19.400418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:33:19.400418Z digest=sha256:c79ea7891240619a44e0120b5695551954b7ed846ed9c1cd6ba93eedfa842d67

Observation 805b04c1-1c96-4661-94d0-dd751898552f · inbound

Advancing the Foundation Model for Music Understanding cites this paper.

Advancing the Foundation Model for Music Understanding M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T05:49:55.162296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:49:55.162296Z digest=sha256:7f90970babfea66981e85e7ab0fbe5f6af68d5ae6577d71ce6b7ce6433bb7221

Observation f9a8df0e-f991-46b5-8342-1d57a6f0328c · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:12:54.167256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T00:12:39.834892Z digest=sha256:9464783d1c2da968e9a2f6b5e640145050cb03abc3d9fbd5ab81eecef471a609

Observation 2e288d0a-e055-45bf-b453-ef3e339e4304 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:05:30.678034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T08:02:15.950975Z digest=sha256:6d992b8faf199422df9ffbf296259542088f423cf219c3a4aed1ae1bc62303e5

Observation e6ebe212-abfe-410f-8d2a-310f614bc7cd · 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 M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T09:25:05.174833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:25:05.174833Z digest=sha256:2c399c4fa79aa813831ac56c1151608a842006fcc9a14e96332b9dc7e42cf55f

Observation d99b17ed-6d6f-4e1c-ae69-0938cd103936 · 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 M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:25:49.805924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:10:52.629490Z digest=sha256:40c2e7e32f619b239a4e749a326a8b2cd13b38a46fec2bb45ab429c4234a7a1e

Observation 439aae04-f783-4de9-b65a-6a4460186be3 · inbound

TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos cites this paper.

TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:15:56.453344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:53:01.939765Z digest=sha256:545c77cc92e40333ac3890396ef429747f2a39dfdc72b00303bddbb0bb4d4fd5

Observation caaa0c47-a13f-4462-a918-f5db6ecdd146 · inbound

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition cites this paper.

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:42:26.160455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T17:40:30.038337Z digest=sha256:656ca12edd250791f92a9d62f662db7c102297764cc20547dfdb723bc39f2167

Observation b4fc0631-36c8-4538-be28-f9a3be7eb260 · inbound

Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration cites this paper.

Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:47.377274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T03:31:02.911020Z digest=sha256:d4a2da75b21e8c0ac1b70493052f65826dbfb7e23efa8f6146002208c4349398

Observation 6a3c823c-a633-4b85-9ad6-db060f13abcb · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:20:06.355613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:31:38.450382Z digest=sha256:efbd9b361e877baa55693c2722468f3cebe096315965314af800e7aa0efbba5a