Paper Citation Record · LEDGER

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.02437.

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

pith.paper-citation-record.v1
2606.02437 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

42 of 42 outbound references displayed

verified exact17
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch23

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca57f31a-aa93-435c-b8fd-4c8100977afe · outbound

This paper cites Understanding LoRA as Knowledge Memory: An Empirical Analysis.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Understanding LoRA as Knowledge Memory: An Empirical Analysis

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T15:42:22.012940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7efc7797-6212-45b5-a20c-755e77444180 · outbound

This paper cites LoRA Learns Less and Forgets Less.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters LoRA Learns Less and Forgets Less

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.708715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 796beed7-080d-4e5f-8f43-48aa74688bc9 · outbound

This paper cites OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.713379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e48ecc3-e889-4d37-a2c1-94463967f190 · outbound

This paper cites Punica: Multi-Tenant LoRA Serving.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Punica: Multi-Tenant LoRA Serving

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.702982Z

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Observation e17e8e1b-4d9b-4381-b92b-a1d7a2ef34e7 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.705602Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75dca94c-8472-4bfe-828b-dac2f5ee8eb8 · outbound

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

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.727471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ecc6aceb-2f33-48d7-b8fa-729053589923 · outbound

This paper cites GLM-5 Team.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters GLM-5 Team

Reference 7

Resolution: verified exact; doi, observed 2026-06-28T15:42:22.010546Z

Source-reported events for the cited work

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Observation b165c4ba-a684-44a3-8e43-12d603c3ba63 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters GLM-5: from Vibe Coding to Agentic Engineering

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.710788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf38bed1-5940-4058-a11a-4b329b367fd1 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.687951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0404150f-59c0-4195-9541-65b82ca5af76 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.697653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee815e58-f485-4404-ab33-6ed988d7d2e7 · outbound

This paper cites Reinforcement Learning via Self-Distillation.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Reinforcement Learning via Self-Distillation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.729930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a91e9ce-3d4b-4153-b01a-727aa2c48f62 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.724589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbee9374-15ba-4b29-85ee-275148a6e41e · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.711590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6027d5e6-2d86-4909-ac9a-c1d1bf4e4a66 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Kimi K2: Open Agentic Intelligence

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.714341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e60d7459-57ae-44e4-8710-260ee8de6af5 · outbound

This paper cites doi: 10.18653/v1/2025.emnlp-main.1185.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters doi: 10.18653/v1/2025.emnlp-main.1185

Reference 15

Resolution: verified exact; doi, observed 2026-06-28T15:42:22.008780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1aeb11db-b03c-4165-8e6b-d0df6ce66c51 · outbound

This paper cites $\delta$-mem: Efficient Online Memory for Large Language Models.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters $\delta$-mem: Efficient Online Memory for Large Language Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.722176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0639e92-af1a-4672-a1dc-df8d57560aa1 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.719807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9374eacd-3bf7-4f7b-960b-f689f938a0ab · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.692823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c157e700-e350-4d3d-ac96-2da47146d96a · outbound

This paper cites SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.682950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5546f7ee-956e-45a9-a5b3-ec25122f9665 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.674741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45c10b0c-e695-435d-ab79-29cb078c49a8 · outbound

This paper cites AIME 2024 problem set.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters AIME 2024 problem set

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T15:32:19.456119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5218a34-37b4-4b56-944a-ba86d2ac3bde · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.681673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b1adeb83-441b-4d3d-ae08-cab81d099f99 · outbound

This paper cites MinT: Managed Infrastructure for Training and Serving Millions of LLMs.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters MinT: Managed Infrastructure for Training and Serving Millions of LLMs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.703022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1c278c2-f07d-4601-828d-a3b59acc13f2 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters MemGPT: Towards LLMs as Operating Systems

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.686504Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 85c95a41-71a1-4dc1-a06a-00afb4bbb20b · outbound

This paper cites O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T15:42:22.019332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 368d05bc-cdf9-4eb1-8c1a-1b6d9d1596ed · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.669165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e44e8b7-d934-4145-ba55-2a43e4cc5f06 · outbound

This paper cites Self-Distillation Enables Continual Learning.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Self-Distillation Enables Continual Learning

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.707973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c58c1832-3a95-4926-aaef-a9bad9aa0861 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.689280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0455c41c-56d2-4b73-8ac1-4fca5c78cc8c · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.700730Z

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Observation 1489f951-cf9b-4675-aa16-d8b479d9f46b · outbound

This paper cites Lora vs full fine-tuning: An illusion of equivalence.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Lora vs full fine-tuning: An illusion of equivalence

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.653938Z

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Observation 3e9cca7a-36d8-444d-8165-9820f1eb7861 · outbound

This paper cites MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.705399Z

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Observation 402547f4-54ee-4bba-afde-a297508c2ef8 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.671272Z

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Observation a3a36fe0-1e0f-457e-84e5-ec196437e7ee · outbound

This paper cites Williams.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Williams

Reference 33

Resolution: metadata mismatch; doi, observed 2026-06-28T15:42:22.016806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67f8fb6c-7423-481b-975d-a715f57257d9 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.715719Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 045727b7-7805-4e6c-a551-d3c01be4af6a · outbound

This paper cites Qwen3 Technical Report.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Qwen3 Technical Report

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:16:16.647342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de0c3d54-50eb-47db-8ec4-798875eb26da · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.642255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a88a4a2c-0aac-4739-8e06-1f9092c6663c · outbound

This paper cites OASIS: Open Agent Social Interaction Simulations with One Million Agents.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters OASIS: Open Agent Social Interaction Simulations with One Million Agents

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.676510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2eae38b4-eeac-446a-9f96-9a58addfff0d · outbound

This paper cites arXiv preprint arXiv:2512.23165 , year=.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters arXiv preprint arXiv:2512.23165 , year=

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.700236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ad861bc-ede3-4ec4-9d09-4461b12bd1c2 · outbound

This paper cites Chujie Zheng et al.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Chujie Zheng et al

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T15:32:19.456119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cacec9f-1d76-4fe1-b178-ecdfbd9e4d77 · outbound

This paper cites Stabilizing reinforcement learning with llms: Formulation and practices.arXiv preprint arXiv:2512.01374, 2025a.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Stabilizing reinforcement learning with llms: Formulation and practices.arXiv preprint arXiv:2512.01374, 2025a

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.721054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3fdccc1e-2dbe-4d62-b4c2-873d962f3e4e · outbound

This paper cites Changhai Zhou, Shijie Han, Lining Yang, Yuhua Zhou, Xu Cheng, Yibin Wang, and Hongguang Li.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Changhai Zhou, Shijie Han, Lining Yang, Yuhua Zhou, Xu Cheng, Yibin Wang, and Hongguang Li

Reference 41

Resolution: verified exact; doi, observed 2026-06-28T15:42:22.014879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c43d08f-f497-4de9-b428-f7f7e708cb34 · outbound

This paper cites Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.717437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.