Paper Citation Record · LEDGER

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models

As of 5 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2509.03057.

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

pith.paper-citation-record.v1
2509.03057 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:10:16.816767Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact4
verified fuzzy15
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e0c0be9-1447-45e3-a178-cec1b2066f87 · outbound

This paper cites Parameter-efficient fine-tuning of large- scale pre-trained language models,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Parameter-efficient fine-tuning of large- scale pre-trained language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.604675Z

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 02449eea-ae94-44cf-87e1-6bbf2c84d6b1 · outbound

This paper cites Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:14.819869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497d96e5-94be-459e-bcbb-5aa74bb4c199 · outbound

This paper cites Improving Large Language Model Fine-tuning for Solving Math Problems.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:14.915393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e74ec55-fe8e-4794-a862-6116b5af3d17 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

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

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:14.991611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4750a408-0246-4dec-aab3-9ee548da8b14 · outbound

This paper cites Fine-tuning large neural language models for biomedical natural language processing,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Fine-tuning large neural language models for biomedical natural language processing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.580358Z

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 81da3091-4385-48f3-a9e1-2254641611d0 · outbound

This paper cites Automating research synthesis with domain-specific large language model fine-tuning,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Automating research synthesis with domain-specific large language model fine-tuning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.559053Z

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 0adac42d-7510-4a5f-8191-7b5adc7a6117 · outbound

This paper cites Comparison between RLHF and RLAIF in fine-tuning a large language model,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Comparison between RLHF and RLAIF in fine-tuning a large language model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.537525Z

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 2eef4d55-8af3-4c02-8798-c13bc50bd6c4 · outbound

This paper cites Vision-Oriented Multi-Object Tracking via Transformer-Based Temporal and Attention Modeling,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Vision-Oriented Multi-Object Tracking via Transformer-Based Temporal and Attention Modeling,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.385289Z

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 c9f98af3-6ed7-49b8-a6af-414171623a0c · outbound

This paper cites Collaborative Optimization in Federated Recommendation: Integrating User Interests and Differential Privacy,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Collaborative Optimization in Federated Recommendation: Integrating User Interests and Differential Privacy,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:20.143057Z

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 f92d6dd4-0345-4beb-9c3e-a8436532178e · outbound

This paper cites Structuring Low- Rank Adaptation with Semantic Guidance for Model Fine-Tuning,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Structuring Low- Rank Adaptation with Semantic Guidance for Model Fine-Tuning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:19.897134Z

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 b1124208-7755-47f1-85ee-8ee67dd4856c · outbound

This paper cites Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:19.627316Z

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 97c50104-3a64-4d44-a918-5e45da1e8186 · outbound

This paper cites Structured Memory Mechanisms for Stable Context Representation in Large Language Models.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Structured Memory Mechanisms for Stable Context Representation in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:15.653320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26eab865-3cb9-4c35-b6ff-206f5d4ed9ad · outbound

This paper cites Layer-Wise Structural Mapping for Efficient Domain Transfer in Language Model Distillation,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Layer-Wise Structural Mapping for Efficient Domain Transfer in Language Model Distillation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:19.326365Z

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 75098990-264e-4e3e-bd04-184f85d2f058 · outbound

This paper cites Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.687754Z

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 1f16cdce-ec02-4042-94e8-79a645d54490 · outbound

This paper cites Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.584756Z

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 5441f43d-d8e7-4dd6-9310-133c5ee226b7 · outbound

This paper cites Fusion- Based Retrieval-Augmented Generation for Complex Question Answering with LLMs,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Fusion- Based Retrieval-Augmented Generation for Complex Question Answering with LLMs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:19.025537Z

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 d9b057bb-e1f4-476a-bb04-ca8799d69fb5 · outbound

This paper cites Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.383261Z

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 e67b188a-e205-4ad6-85f2-0b96269438cc · outbound

This paper cites Selective Knowledge Injection via Adapter Modules in Large-Scale Language Models,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Selective Knowledge Injection via Adapter Modules in Large-Scale Language Models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:18.762238Z

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 56ae60f0-0391-499c-a8e3-28f001a391c9 · outbound

This paper cites Structured Compression of Large Language Models with Sensitivity-aware Pruning Mechanisms,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Structured Compression of Large Language Models with Sensitivity-aware Pruning Mechanisms,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:18.491622Z

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 9a17e22f-9531-45fb-b9ab-fd0f89a40306 · outbound

This paper cites Internal Knowledge Adaptation in LLMs with Consistency- Constrained Dynamic Routing,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Internal Knowledge Adaptation in LLMs with Consistency- Constrained Dynamic Routing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:18.258235Z

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 dd659ce3-b4cd-4f6a-b8a2-c0cfe1b3ff68 · outbound

This paper cites Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.157414Z

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 4310bf94-4d72-42f8-ba77-0f554f6a5502 · outbound

This paper cites Full Parameter Fine-tuning for Large Language Models with Limited Resources.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:16.458083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6265bad3-f4c9-4435-b4c2-08e5a2203512 · outbound

This paper cites A survey on lora of large language models,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models A survey on lora of large language models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:18.037620Z

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 1322a65f-fa14-4192-aa6f-537e6ff20e23 · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:16.636580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744a6144-5c02-43d8-bc52-b9bd40a1f7ee · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:16.751547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20dd5f04-019c-4896-962e-3c4396fccf23 · outbound

This paper cites Pissa: Principal singular values and singular vectors adaptation of large language models,.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Pissa: Principal singular values and singular vectors adaptation of large language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:10:17.903517Z

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.