Paper Citation Record · LEDGER

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.12433.

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

pith.paper-citation-record.v1
2505.12433 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:53.866722Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10f3e969-6894-4ee7-a636-3ae4bf870db0 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.441524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc370ccb-a031-4389-9325-6353887578f1 · outbound

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

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.447544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e290684c-8b4c-4008-9a79-9bae26a84d71 · outbound

This paper cites DeBERTav3: Improving deBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization DeBERTav3: Improving deBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.940086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d0e84c8-7d1e-4e58-a75d-072555fcffb5 · outbound

This paper cites Parameter- efficient transfer learning for nlp, 2019.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Parameter- efficient transfer learning for nlp, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.865291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fd07a57-bb84-4b69-b197-f73ded2492cb · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization LoRA: Low-rank adaptation of large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.825417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ba3366c-a7ea-48d9-95cf-9057824b1379 · outbound

This paper cites LLM-adapters: An adapter family for parameter- efficient fine-tuning of large language models.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization LLM-adapters: An adapter family for parameter- efficient fine-tuning of large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.779698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17e40a80-ca00-413d-8030-657c90a2c44e · outbound

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

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.483920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06671a20-7f6d-4828-82c8-e12b84ca6ad6 · outbound

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

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.546734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e1fea5-64b7-4424-b24e-d649a8782b11 · outbound

This paper cites Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.658487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e27a82e-940e-4cb8-b6c8-784e1f89b3ed · outbound

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

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization PiSSA: Principal singular values and singular vectors adaptation of large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.657214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c14c590-e01b-4db6-bd78-b3c08cd0f7e9 · outbound

This paper cites Are Sixteen Heads Really Better than One?.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Are Sixteen Heads Really Better than One?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.671132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d229f685-0811-45c9-8b6f-e635a1c09543 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.679280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d084f88-1277-40a0-84be-2015041c5a6d · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.687554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae74fcf-0177-4bc5-b3c7-0a0175e7b482 · outbound

This paper cites LoRA-GA: Low-rank adaptation with gra- dient approximation.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization LoRA-GA: Low-rank adaptation with gra- dient approximation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.598397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3d94cb3-64bd-4405-ae2e-4a25dc875717 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.842572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1a915f-9a74-4c6a-9599-4eacd0015f40 · outbound

This paper cites Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models, 2022.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models, 2022

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:53.848826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc12eea0-9de6-4d07-941d-a2d443b732a7 · outbound

This paper cites PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:54.011331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a33aa57-f419-46c8-bf5a-721bc54a3384 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization Adaptive budget allocation for parameter-efficient fine-tuning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:54.571784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.