Paper Citation Record · LEDGER

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2603.02156.

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

pith.paper-citation-record.v1
2603.02156 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:32:20.957294Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 831ed6eb-0d8d-40a0-ab8a-eb9eced58183 · outbound

This paper cites F-iran: Performance analysis of 6g fog intelli- gent radio access network,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks F-iran: Performance analysis of 6g fog intelli- gent radio access network,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:18.549966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad983a0e-cd85-475d-8672-903fa5edde07 · outbound

This paper cites Study on 6g use cases and service requirements,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Study on 6g use cases and service requirements,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:18.669859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6f318b-2a32-4882-ad2a-6b6a79b514d8 · outbound

This paper cites Generative ai use cases and requirements on 6g network,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Generative ai use cases and requirements on 6g network,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:18.873489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da64b642-e2a0-4882-86c8-19c5d708364c · outbound

This paper cites GS MEC 003 V3.1.1, Mar.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks GS MEC 003 V3.1.1, Mar

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.005850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bc658e-7cdf-4d5a-8d7a-df1a4116a104 · outbound

This paper cites Requirements and enabling technologies of agent protocols for 6g networks,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Requirements and enabling technologies of agent protocols for 6g networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.199895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b959d9-c356-4c93-9476-5bd7b1f71d24 · outbound

This paper cites 6g cellular networks: Mapping the land- scape for the imt-2030 framework,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks 6g cellular networks: Mapping the land- scape for the imt-2030 framework,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.286866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e3f8ff-dbb7-4ca6-9674-913f341a7399 · outbound

This paper cites Extremely large aperture array (elaa) communications: Foundations, research advances and challenges,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Extremely large aperture array (elaa) communications: Foundations, research advances and challenges,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.402046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245ab6cd-0092-4403-bb72-867ea97bf719 · outbound

This paper cites Energy-efficient ris-aided cell-free massive mimo systems: Application, opportunities, and challenges,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Energy-efficient ris-aided cell-free massive mimo systems: Application, opportunities, and challenges,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.481366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8870e6cd-71c8-4c7c-9324-53a3b964566e · outbound

This paper cites 6g phy: Insights from 6g-anna research initiative,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks 6g phy: Insights from 6g-anna research initiative,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.545714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b1b38d8-541e-43f3-81a9-bf736d7da891 · outbound

This paper cites Resource optimization for semantic communication in 6g networks: A survey,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Resource optimization for semantic communication in 6g networks: A survey,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.635729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1474d37f-b14e-4174-a0e0-0cd092873fd8 · outbound

This paper cites Towards 6g authen- tication and key agreement protocol: A survey on hybrid post quantum cryptography,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Towards 6g authen- tication and key agreement protocol: A survey on hybrid post quantum cryptography,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.701501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cde823f-44ca-4790-af18-d8585b65c7c8 · outbound

This paper cites Llms on a budget: System-level approaches to power-efficient and scalable fine-tuning,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Llms on a budget: System-level approaches to power-efficient and scalable fine-tuning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.773957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4860c0fc-e1e1-4e4b-bfc0-0eaa0c40145a · outbound

This paper cites α 3-bench: A unified bench- mark of safety, robustness, and efficiency for llm-based uav agents over 6g networks,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks α 3-bench: A unified bench- mark of safety, robustness, and efficiency for llm-based uav agents over 6g networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.835831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6fabd5-fecd-4c63-8158-05d2ab3de859 · outbound

This paper cites Training Compute-Optimal Large Language Models.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Training Compute-Optimal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.913142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48d27ec-f413-4bc6-96d6-a5c5025e62fa · outbound

This paper cites Scaling Laws for Neural Language Models.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Scaling Laws for Neural Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:19.952089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7b649b-04ae-42b5-a531-feb2875e03ef · outbound

This paper cites Emergent Abilities of Large Language Models.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Emergent Abilities of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.112627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a7d2c2-c97e-43e2-b6fb-b2d11e8587ab · outbound

This paper cites 6g-bench: An open benchmark for semantic communication and network-level reasoning with founda- tion models in ai-native 6g networks,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks 6g-bench: An open benchmark for semantic communication and network-level reasoning with founda- tion models in ai-native 6g networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.119453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83cf7c41-c198-4a0c-be80-51d412d2ab83 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.183146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64db1a58-7936-4b18-a0ba-b6cc89d0daf2 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.299756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe254f0-88f1-4316-b233-a05e2e814667 · outbound

This paper cites Granite 4.0 nano language models,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Granite 4.0 nano language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.400438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7572fa5-33c7-478a-b055-075ca7286968 · outbound

This paper cites Lfm2 technical report,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Lfm2 technical report,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.469031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c957cfdb-b132-440d-b352-92813db95a41 · outbound

This paper cites The Llama 3 Herd of Models.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.641158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dadd429-4bdc-45bc-94f3-a25e8edde773 · outbound

This paper cites Qwen2.5: A party of foundation models,.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Qwen2.5: A party of foundation models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.736007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24461beb-cab8-4f3c-8581-111c36abd4bd · outbound

This paper cites Qwen2 Technical Report.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Qwen2 Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.834963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a993439-84e5-4fea-830f-82b45bfe8f20 · outbound

This paper cites Olmo 3.

How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Olmo 3

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T19:32:20.957294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.