Paper Citation Record · LEDGER

DeepForm: Reasoning Large Language Model for Communication System Formulation

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.08551.

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

pith.paper-citation-record.v1
2506.08551 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:47.159492Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:15:57.301663Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy16
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f31f0472-25c9-4c9e-8d97-fdef339077a2 · outbound

This paper cites GPT-4o System Card.

DeepForm: Reasoning Large Language Model for Communication System Formulation GPT-4o System Card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.049536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0063641-33f3-400a-831f-383076f0e880 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DeepForm: Reasoning Large Language Model for Communication System Formulation LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.054554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060a1192-b4de-4bf6-bb99-e108e23163a9 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

DeepForm: Reasoning Large Language Model for Communication System Formulation Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.058303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bf2ca3-c781-4763-976f-6c0d6c2a37d3 · outbound

This paper cites Scaling Laws for Neural Language Models.

DeepForm: Reasoning Large Language Model for Communication System Formulation Scaling Laws for Neural Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.062676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b7d1d8-ef1f-423c-9de4-6e08705465b3 · outbound

This paper cites ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

DeepForm: Reasoning Large Language Model for Communication System Formulation ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.066674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b7e791-2d8e-4e9f-8149-5f445c06632a · outbound

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

DeepForm: Reasoning Large Language Model for Communication System Formulation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.071041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544c0405-0200-4b1a-a2e8-1c28dd139c07 · outbound

This paper cites HuatuoGPT, towards taming language model to be a doctor,.

DeepForm: Reasoning Large Language Model for Communication System Formulation HuatuoGPT, towards taming language model to be a doctor,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.671692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bfeb20f-6c21-47db-a3f0-0c351df25a7c · outbound

This paper cites Lawllm: Intelligent legal system with legal reasoning and verifiable retrieval,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Lawllm: Intelligent legal system with legal reasoning and verifiable retrieval,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.661957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28cae75d-0d25-4227-a5ba-8cad63cc5e44 · outbound

This paper cites Disc-finllm: A chinese financial large language model based on multiple experts fine-tuning,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Disc-finllm: A chinese financial large language model based on multiple experts fine-tuning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.652345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ef5757e-6ce9-4910-9876-11e5fd3e13ef · outbound

This paper cites Oceangpt: A large language model for ocean science tasks,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Oceangpt: A large language model for ocean science tasks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.642822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b885ad2b-3723-4ca8-b896-ba851a343582 · outbound

This paper cites Starwhisper telescope: Agent-based observation assistant system to approach ai astrophysicist,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Starwhisper telescope: Agent-based observation assistant system to approach ai astrophysicist,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.088677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22baebc8-2297-4aa5-ae7d-ba556934486a · outbound

This paper cites Mutaplm: Protein language modeling for mutation explanation and engi- neering,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Mutaplm: Protein language modeling for mutation explanation and engi- neering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.633336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f69dcb9-9cda-4033-bb0f-be00682ae05b · outbound

This paper cites Ecomgpt: Instruction-tuning large lan- guage models with chain-of-task tasks for e-commerce,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Ecomgpt: Instruction-tuning large lan- guage models with chain-of-task tasks for e-commerce,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.623308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8bd26a5-e29d-4e32-b155-1878a61a0ac8 · outbound

This paper cites Mentallama: interpretable mental health analysis on social media with large language models,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Mentallama: interpretable mental health analysis on social media with large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.612834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f17be88-24d6-4406-b42a-9340e97bcbd0 · outbound

This paper cites DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task.

DeepForm: Reasoning Large Language Model for Communication System Formulation DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.101533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3283548d-3646-4860-bfb3-e23063abfb8a · outbound

This paper cites WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

DeepForm: Reasoning Large Language Model for Communication System Formulation WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.105008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391c7e3e-e49c-424d-b15b-056eacff9401 · outbound

This paper cites Rethinking generative semantic communication for multi-user systems with large language models,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Rethinking generative semantic communication for multi-user systems with large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.603016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea74d33a-7b8f-4654-af02-a667f83b233e · outbound

This paper cites Large language model enhanced multi-agent systems for 6g communications,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Large language model enhanced multi-agent systems for 6g communications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.593003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de2a078e-d2d5-4253-811f-aaa1bee1189a · outbound

This paper cites Efficient prompting for llm-based generative internet of things,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Efficient prompting for llm-based generative internet of things,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.582973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fae0deb-5597-4f0d-b25e-1abddac8fe6b · outbound

This paper cites Intent-based man- agement of next-generation networks: an llm-centric approach,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Intent-based man- agement of next-generation networks: an llm-centric approach,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.572146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 275e40a0-32ae-493e-b573-98951914d62d · outbound

This paper cites Large language model (llm)-enabled graphs in dynamic networking,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Large language model (llm)-enabled graphs in dynamic networking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.561580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c23b770f-73a0-4ecd-9ed3-d565a360ea6a · outbound

This paper cites Evaluating large language models for enhanced intrusion detection in internet of things networks,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Evaluating large language models for enhanced intrusion detection in internet of things networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.551022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fdd384f-7c13-4707-b275-c58ef975ee62 · outbound

This paper cites On combining xai and llms for trustworthy zero-touch network and service management in 6g,.

DeepForm: Reasoning Large Language Model for Communication System Formulation On combining xai and llms for trustworthy zero-touch network and service management in 6g,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.540828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7d54fd3-8b24-42c5-b48f-cc8ae6cfd106 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

DeepForm: Reasoning Large Language Model for Communication System Formulation MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.132319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c055a733-643b-409b-b059-e09afaa3df0d · outbound

This paper cites OpenDataLab: Empowering General Artificial Intelligence with Open Datasets.

DeepForm: Reasoning Large Language Model for Communication System Formulation OpenDataLab: Empowering General Artificial Intelligence with Open Datasets

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.136920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f64f0d1-8179-4f63-8fdd-0a6ad131b14f · outbound

This paper cites Binary codes capable of correcting deletions, insertions, and reversals,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Binary codes capable of correcting deletions, insertions, and reversals,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.530282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8bf519f-edf2-4758-afe8-cf580a17f4ba · outbound

This paper cites Lora: Low-rank adaptation of large language models.

DeepForm: Reasoning Large Language Model for Communication System Formulation Lora: Low-rank adaptation of large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.143800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c7a3f9-1233-431e-9051-cf3ce451bb0f · outbound

This paper cites Decoupled weight decay regulariza- tion,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Decoupled weight decay regulariza- tion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:12:47.512901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34ea3fec-8ac3-4f1c-ba0d-1603571c3b24 · outbound

This paper cites Qwen3 Technical Report.

DeepForm: Reasoning Large Language Model for Communication System Formulation Qwen3 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.151358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897254d8-5e1c-43b3-95ee-f786c5ee587c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

DeepForm: Reasoning Large Language Model for Communication System Formulation Direct preference optimization: Your language model is secretly a reward model,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.156231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3460f9a5-b3bd-4744-b9bb-405be6c95c37 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

DeepForm: Reasoning Large Language Model for Communication System Formulation KTO: Model Alignment as Prospect Theoretic Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:47.159492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 57a6dd1b-de5f-43e4-88f5-80303e7e9ed7 · inbound

Human Grounded Evaluation of Large Language Models for Optical Network Automation cites this paper.

Human Grounded Evaluation of Large Language Models for Optical Network Automation DeepForm: Reasoning Large Language Model for Communication System Formulation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T16:15:57.301663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.