LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models | Paper Citation Record

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A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 189

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Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 177

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E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning cites this paper.

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 40

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When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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Next-Generation Phishing: How LLM Agents Empower Cyber Attackers cites this paper.

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 38

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LLaSA: Large Language and Structured Data Assistant cites this paper.

LLaSA: Large Language and Structured Data Assistant LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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Quantized Delta Weight Is Safety Keeper cites this paper.

Quantized Delta Weight Is Safety Keeper LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 6

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Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 145

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Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 34

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V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 19

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Observation 09f26c40-3e2e-4f76-8d2b-d38ee3e38651 · inbound

Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QA cites this paper.

Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QA LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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Boosting Long-Context Management via Query-Guided Activation Refilling cites this paper.

Boosting Long-Context Management via Query-Guided Activation Refilling LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 24

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Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices cites this paper.

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 64

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Adjoint sharding for very long context training of state space models cites this paper.

Adjoint sharding for very long context training of state space models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 11

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Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 18

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Observation 17d67d54-79cf-4899-be83-1e0e439bfa47 · inbound

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning cites this paper.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 18

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LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning cites this paper.

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 12

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RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? cites this paper.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 42

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Observation d71abe2e-6f35-4f4b-8360-3188ae0c8af1 · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 23

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A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) cites this paper.

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 7

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Observation 5a3e52fd-7d4b-4141-b10d-809ffeee38ff · inbound

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference cites this paper.

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 12

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SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters cites this paper.

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 12

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Observation 87c3ae54-3e6f-4fce-97e1-f1eaf69eb6a6 · inbound

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription cites this paper.

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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Long-Context Autoregressive Video Modeling with Next-Frame Prediction cites this paper.

Long-Context Autoregressive Video Modeling with Next-Frame Prediction LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 32

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NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics cites this paper.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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Observation b9816e1a-c8bd-44ca-9029-46553719d0bb · inbound

Training Long-Context LLMs Efficiently via Chunk-wise Optimization cites this paper.

Training Long-Context LLMs Efficiently via Chunk-wise Optimization LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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Observation 489e40cc-41b3-4ad0-bcfa-be93f2e790ce · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 11

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100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 10

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UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes cites this paper.

UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 6

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FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts cites this paper.

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 6

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Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models cites this paper.

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 10

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STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset cites this paper.

STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas cites this paper.

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models cites this paper.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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Structured Attention Matters to Multimodal LLMs in Document Understanding cites this paper.

Structured Attention Matters to Multimodal LLMs in Document Understanding LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 14

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Observation 7a35e741-dad3-4c29-bbea-f817731e613a · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 11

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Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? cites this paper.

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 8

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Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language Models cites this paper.

Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 2024

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Observation ed159e24-e1a6-4d32-9f6d-f8595575f3dc · inbound

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench cites this paper.

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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Observation 3457b028-2f75-4497-9769-e71b5368e70f · inbound

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models cites this paper.

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:55:59.175195Z

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Observation 03c30579-1964-4b88-8555-79f2da6ea54f · inbound

A Decomposition Perspective to Long-context Reasoning for LLMs cites this paper.

A Decomposition Perspective to Long-context Reasoning for LLMs LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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Observation ca74fb13-250b-4141-85ce-ab127e1ca913 · inbound

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge cites this paper.

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:55:59.370857Z

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Observation 499c8aa8-c0dc-4120-8de0-ddf8315b880c · inbound

Feedback-Driven Execution for LLM-Based Binary Analysis cites this paper.

Feedback-Driven Execution for LLM-Based Binary Analysis LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:37.903921Z

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Observation 44e7572c-b329-47dc-b8e2-eae6e317809c · inbound

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing cites this paper.

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:03.209448Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0eb27d87-ba89-4227-89b4-b27a50d363e5 · inbound

Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling cites this paper.

Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:46.989396Z

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Observation e9ea161c-8791-4493-b001-e33c100badc9 · inbound

Simplified Sparse Attention via Gist Tokens cites this paper.

Simplified Sparse Attention via Gist Tokens LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:46:05.326400Z

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Observation 4477b03e-be43-4620-8ff1-fabc8f1822e1 · inbound

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation cites this paper.

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:32:19.478587Z

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Observation 6ded7c8c-307a-48d3-8bd1-6673904b6e59 · inbound

VIP-COP: Context Optimization for Tabular Foundation Models cites this paper.

VIP-COP: Context Optimization for Tabular Foundation Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:09:26.281742Z

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Observation 04f55192-3d5e-46e3-ba13-4a9a350d2f66 · inbound

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context cites this paper.

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.201001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb38e42a-5a2b-44d0-b184-61c9e2ed9639 · inbound

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift cites this paper.

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:18:13.722912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10d470b9-9322-4b0b-a61f-eb940759ce38 · inbound

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents cites this paper.

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:24.470735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0995c3ac-8e51-423c-bf52-978f0a62ca91 · inbound

G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation cites this paper.

G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.238173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e3d0dc0-7a1b-4b41-b658-b0275b8c4b24 · inbound

BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression cites this paper.

BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-07-10T04:06:44.661815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a6e5602d-93df-4ce5-a390-053aeb08cc3d · inbound

Long-Context Fine-Tuning with Limited VRAM cites this paper.

Long-Context Fine-Tuning with Limited VRAM LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T00:12:55.892304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82dc4bc6-e3e1-44a3-bb75-3c905bca1deb · inbound

DOSA: A Tree-Guided, Self-Regressive Framework for Long Document Structure Analysis cites this paper.

DOSA: A Tree-Guided, Self-Regressive Framework for Long Document Structure Analysis LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T07:28:38.497500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8893493d-b293-419b-821c-1f099d6c755e · inbound

RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings cites this paper.

RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:44.407443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0edd5145-ddca-41d6-8f09-68214de72c84 · inbound

LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference cites this paper.

LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T05:46:28.225617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57fe881a-1431-4b94-9e1f-3ef5d3114ae0 · inbound

LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference cites this paper.

LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:59.533410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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