Paper Citation Record · LEDGER

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.11638.

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

pith.paper-citation-record.v1
2506.11638 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:27.431883Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:21:09.820376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:24:19.104949Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy3
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cac1b5f5-1052-40dc-bb3f-aedcd42f2beb · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:23.918155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e1579ba-7cd4-415f-aaf4-a41f7775d01c · outbound

This paper cites Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.368828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498474b8-c946-4c7e-b815-d4b07503475d · outbound

This paper cites Higher Layers Need More LoRA Experts.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Higher Layers Need More LoRA Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.458205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d10551-246b-4e52-84db-f5bb4b6d8559 · outbound

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

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.608229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06fa9477-5f8b-4c38-9591-563c896b1c80 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.954151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6889b1fe-7b49-4604-9e62-edb7fb0c31bc · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.081248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500c4f1e-7ab0-418c-a905-addc6a1e6c91 · outbound

This paper cites Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.171534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa505fc0-417f-46cf-a035-2193ac830b73 · outbound

This paper cites 500xCompressor: Generalized Prompt Compression for Large Language Models.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.403597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3a23f88-7d2a-4015-b879-37029e6b011e · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.576794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5904168-11f1-47d7-9c95-1bd57d1d5200 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:28.835760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fd12fddb-4a22-4bdb-93c9-7010e8a6d45f · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.997038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca791c63-f808-46a2-8987-f2701024408e · outbound

This paper cites Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.108424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bf1696-440d-43fa-ad2f-b756b6f50001 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.239745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8691ac16-7b68-4baf-b9fc-5331fe77b6fa · outbound

This paper cites Taming Rectified Flow for Inversion and Editing.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Taming Rectified Flow for Inversion and Editing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.439799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15fdf608-50a4-443a-b870-878a7cd630e2 · outbound

This paper cites MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.605018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6c3304-068c-4764-a472-2ad73a87ab93 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.949768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558f6525-fdee-4741-8e43-d8c1d777f047 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:27.099312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdfb2a2-b038-477a-8d7b-474474f6f5b5 · outbound

This paper cites Training details The models are trained with eight NPUs (64GB memory per device) by default.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Training details The models are trained with eight NPUs (64GB memory per device) by default

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:09:28.405238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a80eee9f-6cd5-4076-aa35-e973f35dbff3 · outbound

This paper cites an unresolved cited work.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:28.225287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 301e31db-ef16-4d06-b512-2e5604593f8e · outbound

This paper cites an unresolved cited work.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:28.014363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e124af92-2f31-4cb7-8f8f-472b90af3168 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Categorical Reparameterization with Gumbel-Softmax

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.763167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c66b28-ef66-4141-869a-21143b03c1c4 · outbound

This paper cites Scaling Laws for Neural Language Models.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Scaling Laws for Neural Language Models

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.873886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d84b6d-e533-4cd1-aaac-86815c522721 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.837387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fea190-bdf6-4b6c-990b-621dd575322e · outbound

This paper cites A Survey on In-context Learning.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation A Survey on In-context Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.225351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6c31b6-6fd1-4844-b6ee-e44feafbe1da · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.086147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712ba173-b534-498d-8a7f-9ce9e02797b4 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.687837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 186ef74d-5ff1-463a-a850-cd782239eb58 · outbound

This paper cites Loramoe: Al- leviating world knowledge forgetting in large language models via moe-style plugin.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Loramoe: Al- leviating world knowledge forgetting in large language models via moe-style plugin

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:29.195568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c27989db-2d71-42bb-b665-81aac0272e94 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:29.586921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19789934-f141-4248-808e-e475674472e5 · outbound

This paper cites Need a Small Specialized Language Model? Plan Early!.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Need a Small Specialized Language Model? Plan Early!

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.523819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff4f414-c2d4-4a81-b6dd-f57c0d530d9a · outbound

This paper cites MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:26.778127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 03da7f92-c284-4cbe-92d4-6b5b0e74c3ce · inbound

Parametric Skills cites this paper.

Parametric Skills LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.106667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.