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Paper Citation Record · LEDGER

Sparse Low-rank Adaptation of Pre-trained Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:59.093074Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:7e65f9cadae37c7729a3e95735602f7df46b65c8c7e501e268593d7e4ab1cf20

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.

source=pdf_text observed=2026-08-07T14:45:59.093074Z digest=sha256:9370244c3fcc91cce928d1d4daf0ab52d9f9e1b8b47d02f92be8bdf6165dade5

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.

source=pdf_text observed=2026-08-07T12:09:12.204135Z digest=sha256:7d7136161472f16c5af685bc365fc8ee2d88fb08af0bfe2e5854a19b432c83d2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:c1614fc9a48064af460aa8da4b7db8629c941c80d3a4dc3b9ed4bb343578f751

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.

source=arxiv_source observed=2026-08-05T17:33:13.657154Z digest=sha256:4008cd46739029cb43a804d64205f43e8e0141ca582111c9d30d11449146e3b2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:93272ee5d2edf632134d5ee18e19b96a15ad832035e775cc632535cce5d7642a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:38:14.029660Z digest=sha256:4bcb9a8036310f6264d0230580eea194bd9b5cf1af73aa04f218ea747fb501ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:55:13.502149Z digest=sha256:6b78a6d67b69c6b648732b4e9f249c08e00bdcec3712668576497601c2745829

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T19:48:16.399195Z digest=sha256:8a68b098d19d73a835b4ab9b420346b44f2d1051adaf71b3db93d0a8c4c4a4af

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.

source=arxiv_source observed=2026-07-12T01:54:44.256835Z digest=sha256:94e3d74ff0d1ac43cdfff2170f3266b953bee4998e8e08a0b36e720e215708dc

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.

source=arxiv_source observed=2026-08-02T09:01:48.832025Z digest=sha256:84db3b82b7137b1a2e934612f516b1b272bc79a81ec5524a47f493319d26fd66

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.

source=pdf_text observed=2026-08-01T03:00:02.055379Z digest=sha256:d06127f62846df2fdf268c67d5f01c482d24c98a681c1c64f47b22cc037ffaaf