Paper Citation Record · LEDGER

Semantic-guided LoRA Parameters Generation

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2509.10535.

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

pith.paper-citation-record.v1
2509.10535 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:37:07.368728Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:33:58.924093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:36:01.654182Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4adfb6a1-d1d5-4bde-87d0-1f93ee84d71f · outbound

This paper cites Auto-Encoding Variational Bayes.

Semantic-guided LoRA Parameters Generation Auto-Encoding Variational Bayes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.155369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3afed03b-54ec-4048-a723-2a0e02fc70e6 · outbound

This paper cites Deep Model Fusion: A Survey.

Semantic-guided LoRA Parameters Generation Deep Model Fusion: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.252859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c33b0fe9-81b8-4156-8d14-15fbfd97f78e · outbound

This paper cites Microsoft coco: Common objects in context.

Semantic-guided LoRA Parameters Generation Microsoft coco: Common objects in context

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.328118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3fd6efb-acd6-4217-b4cb-4f3a4193c18e · outbound

This paper cites Meta-Learning via Classifier(-free) Diffusion Guidance.

Semantic-guided LoRA Parameters Generation Meta-Learning via Classifier(-free) Diffusion Guidance

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.463131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8da03d-4285-4e4c-90c9-3055c7c4a931 · outbound

This paper cites In-Context Meta LoRA Generation.

Semantic-guided LoRA Parameters Generation In-Context Meta LoRA Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.665333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d293f28e-97ee-4d0d-9155-5615160c3787 · outbound

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

Semantic-guided LoRA Parameters Generation LLaMA: Open and Efficient Foundation Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:07.020896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602d831f-4634-4850-a98f-fcca70b34668 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Semantic-guided LoRA Parameters Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:07.195660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd40eaa-a6ff-4374-add7-244d80d2f90d · outbound

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

Semantic-guided LoRA Parameters Generation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:07.244148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa38fa3-4503-4c9d-835c-13486607a932 · outbound

This paper cites Cached Multi-Lora Composition for Multi-Concept Image Generation.

Semantic-guided LoRA Parameters Generation Cached Multi-Lora Composition for Multi-Concept Image Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:07.368728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9e960f-6924-4a9a-8523-7b02f82cc3b3 · outbound

This paper cites Learning to Learn with Generative Models of Neural Network Checkpoints.

Semantic-guided LoRA Parameters Generation Learning to Learn with Generative Models of Neural Network Checkpoints

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.534636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c33e8e-015d-41dd-859b-5ea1c3320a80 · outbound

This paper cites Diffusion-Based Neural Network Weights Generation.

Semantic-guided LoRA Parameters Generation Diffusion-Based Neural Network Weights Generation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.908891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00fdbd6-519d-42ad-9c4c-d066329759de · outbound

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

Semantic-guided LoRA Parameters Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:05.950405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3607e9dd-72d6-4334-98d1-783525177c5a · outbound

This paper cites AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.

Semantic-guided LoRA Parameters Generation AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:05.785956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6355b6-8acb-497e-a523-1db14c02eaa9 · outbound

This paper cites HyperNetworks.

Semantic-guided LoRA Parameters Generation HyperNetworks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:05.834174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4201a8-c429-4df8-b51f-3094580d8ad5 · outbound

This paper cites Conditional LoRA Parameter Generation.

Semantic-guided LoRA Parameters Generation Conditional LoRA Parameter Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.024629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9267d36a-6741-431e-a856-d31b66ce8d6d · outbound

This paper cites LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation.

Semantic-guided LoRA Parameters Generation LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:06.770013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 55166bd0-4fa7-4c91-8ed9-9c05ca8d27b3 · inbound

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning cites this paper.

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning Semantic-guided LoRA Parameters Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:01.655600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.