Pith. sign in

Paper Citation Record · LEDGER

DeepForm: Reasoning Large Language Model for Communication System Formulation

As of 7 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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-07T05:12:47.049536Z digest=sha256:fb8772c42ce67bacf597ee267b4c3b6297ab2e5d8bdec269581a23e3734dc341

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.

source=pdf_text observed=2026-08-07T05:12:47.054554Z digest=sha256:4905790d215ec1d3fcdfa3344f91a6ee834a2e749c0ead1fbcfd99ff3e519b86

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.

source=pdf_text observed=2026-08-07T05:12:47.058303Z digest=sha256:49c79ab3b7659f0a31e3322dcc92d71ad9ec3d235cc8454cd2508b7e3f9f7050

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.

source=pdf_text observed=2026-08-07T05:12:47.062676Z digest=sha256:4a431ffbffec3cbc2cce0d7a750729799649a0502a083714eb858b4c32b60a4a

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.

source=pdf_text observed=2026-08-07T05:12:47.066674Z digest=sha256:8ba160c2a215de6fa6dfe795c92494cb949f7ce00e66512ccdb1c10c9ed52ef3

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.

source=pdf_text observed=2026-08-07T05:12:47.071041Z digest=sha256:8188c78834dab7cc05b3e7fd5715c7000530266cba3da39b680da2d2ae387e7f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.075036Z digest=sha256:372cfc0ff50143ec027d213ce2cd7efbb7ec79a63488aca236a730a011710753

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.078651Z digest=sha256:bb1baf53b031c07b46e4491f1f75480c631b38c5405225dbc2de87c31d0d2ad6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.082003Z digest=sha256:6cb48f1fa9f8dc3db890f964ecb594a5e7193a3446f483a0629590ad3ed83c8d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.085379Z digest=sha256:b702e3fdd2071e9755662509e679bc42188ccd1f1eba5b2c3e5c484a9b494e7a

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.

source=pdf_text observed=2026-08-07T05:12:47.088677Z digest=sha256:db3ef01733efb9462897637dd3efc46002b4151b6954ee3fb519df4077b4070d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.092124Z digest=sha256:99ee1780d1f3660d15463fd56ada03db42d8038f382b39e18de553a2b7d3d25d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.095459Z digest=sha256:35fa8646b731cf41f6de2c928bcb426901fc8f09e53ffdfde8eb4ff127ac6d27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.098435Z digest=sha256:e3e944d6aa93f1c77e23ce51b429a58b06eff20ccf77e39d1b7502d974caad37

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.

source=pdf_text observed=2026-08-07T05:12:47.101533Z digest=sha256:92186eeacb88e62a650f601fb83924a877509ac897ff43e04078db48c8313f31

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.

source=pdf_text observed=2026-08-07T05:12:47.105008Z digest=sha256:a161072d9c510956bc955e669aa8def1c3d11376d825e465c70914ad5b319e73

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.108565Z digest=sha256:7175e59e8ccf124ba8a24937b57fc50e82041a7c36a8cbcc6357e0099577f63a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.111828Z digest=sha256:dd201bf426f7b76721dcb5f143dd2287499c7bb9a03233a9ab6b139012d88391

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.115132Z digest=sha256:53705e7690990ac092b43338ff4774c0bac776627917b041e93322d407ada27f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.118511Z digest=sha256:1d38df2f5888ec66d4d5d14d86a766b53672f841e05ab9f3348e3144bb97ebf2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.122032Z digest=sha256:4c23ad9adfbb13a64782c5539fb46b5aedd637b753aa6a1349d0aca1d308f270

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.125323Z digest=sha256:5eb638cfdf99f8584fbc4472907ae4e0878da034bf01c5c9f28b0d388588538f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.129112Z digest=sha256:b28d4cd275188148275a2f89c5b57a302ab47505c2051d8b90c8412601208cce

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.

source=pdf_text observed=2026-08-07T05:12:47.132319Z digest=sha256:9db18cc8b8a7b9ec3c1554f21f300a620521606849d0f45e806b5be40f3e3b6c

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.

source=pdf_text observed=2026-08-07T05:12:47.136920Z digest=sha256:db308d5a5e57e9b5aa5ae5085d7c99438810854bcf57d4439885a91c581432f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.140596Z digest=sha256:6efbcdeb2b30d3636a096616a1d5c1401c0f03934a08023c154cef8b1b66e31d

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.

source=pdf_text observed=2026-08-07T05:12:47.143800Z digest=sha256:d37f9511822a4d50b932edc179d99ca2262b5514c3eb467b3dfba14f109c3a04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:12:47.147304Z digest=sha256:ae3221368b05cec913c0c51d2bab18c962cda793cb31868f5b13f9e0fa47f5c1

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.

source=pdf_text observed=2026-08-07T05:12:47.151358Z digest=sha256:faf3e794b0f489b98c705b541d542ba6437b4ada121947155a05e3edb7dea65a

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.

source=pdf_text observed=2026-08-07T05:12:47.156231Z digest=sha256:102aaab1026f71b387d52fbd6e199e855352152ed23ae16e7f65d5f9f740a6cb

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.

source=pdf_text observed=2026-08-07T05:12:47.159492Z digest=sha256:026f66e17b574bd5b8a4a9faca052b017922743e2e96c477256d815132053447

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.

source=pdf_text observed=2026-08-01T16:15:57.301663Z digest=sha256:31d9c25e85e9a134a3ed44c3bd275a3ed535adc79a379d7cb7f85c322771af17