Paper Citation Record · LEDGER

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model

As of 20 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2505.10003.

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

pith.paper-citation-record.v1
2505.10003 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:49.700021Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e594b9ce-04b0-4e7d-949e-1fbf3d6c766d · outbound

This paper cites Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.922595Z

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 a04c128c-c413-4d8f-b664-08b375b5d99c · outbound

This paper cites Large generative AI models for telecom: The next big thing?,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model Large generative AI models for telecom: The next big thing?,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.905766Z

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 7f74ea11-1f9f-444d-bd84-4d28ae85393f · outbound

This paper cites Large multi-modal models (LMMs) as universal foundation models for AI-native wireless systems,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model Large multi-modal models (LMMs) as universal foundation models for AI-native wireless systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.888797Z

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 43308b90-ed6c-41d8-8cee-1fe914535405 · outbound

This paper cites MAPLM: A real-world large-scale vision-language bench- mark for map and traffic scene understanding,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model MAPLM: A real-world large-scale vision-language bench- mark for map and traffic scene understanding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.867995Z

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 bcb319a3-e3dc-43f2-b8cf-3cfa75118db0 · outbound

This paper cites Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:49.666020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00750c3-9df4-46bf-adca-f91d072e7e5a · outbound

This paper cites NetLLM: Adapting large language models for networking,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model NetLLM: Adapting large language models for networking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.851014Z

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 52b7a99d-3271-44f1-b3d3-d8ca8ead5411 · outbound

This paper cites 6G-oriented CSI-based multi-modal pre-training and down- stream task adaptation paradigm,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model 6G-oriented CSI-based multi-modal pre-training and down- stream task adaptation paradigm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.833832Z

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 cc7348db-5208-4efa-a4d2-20e8ef05f03f · outbound

This paper cites Addressing the curse of scenario and task generalization in AI-6G: A multi-modal paradigm,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model Addressing the curse of scenario and task generalization in AI-6G: A multi-modal paradigm,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.817373Z

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 56af6f6d-4abc-4ffb-a2ce-1b0a6ac127b5 · outbound

This paper cites WAIR-D: Wireless AI Research Dataset.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model WAIR-D: Wireless AI Research Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:49.689392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f08911-1663-4bf3-bd84-f60dea0dae1f · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:49.694467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffef116b-db39-49a3-a29c-60f7be234be9 · outbound

This paper cites LLM agents as 6G orchestrator: A paradigm for task- oriented physical-layer automation,.

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model LLM agents as 6G orchestrator: A paradigm for task- oriented physical-layer automation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:49.800785Z

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.

Pith citing papers

No inbound Pith citation observations are available.