Paper Citation Record · LEDGER

Sparse Low-rank Adaptation of Pre-trained Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2311.11696.

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

pith.paper-citation-record.v1
2311.11696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:54:10.522584Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d6b8a0bd-39bc-432a-b91e-bbc7ac8f6e38 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.988252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b31efd2-9fd9-492e-81dd-255382b70c8b · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.522584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda4a17e-8b4b-4046-9686-83a024d6b536 · inbound

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting cites this paper.

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:59.093074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3c9c56-9ebb-4ecf-9443-872ff52aae0f · inbound

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 Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:12.204135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c057b73e-c910-411f-abdb-66eae6efc873 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.534990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd989852-0977-45ed-b658-fe7f01c8d078 · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T17:33:13.657154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01c779f-28ea-4c6c-a015-d90d5681e30b · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.367387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55b06219-b1c8-45a0-91ce-8411aa6283d7 · inbound

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning cites this paper.

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.334510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 160e22cc-41a2-4171-a2bd-e7f742963661 · inbound

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.480536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60363ae8-cc7d-46f9-9ce0-14fd7e7cf24d · inbound

FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts cites this paper.

FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:57:19.209421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d183daae-99d6-4240-a294-88337b1a913c · inbound

Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation cites this paper.

Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-12T01:54:44.256835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106ff14d-e86e-4835-837e-aa3bb7c0508f · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:48.832025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2089cc76-a68d-4c1c-9dd4-ec733556e7d0 · inbound

Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning cites this paper.

Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:00:02.055379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.