Paper Citation Record · LEDGER

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2502.04958.

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

pith.paper-citation-record.v1
2502.04958 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:54:10.668785Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T22:20:38.938305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:23:21.326850Z

Reference resolution

38 of 38 outbound references displayed

verified exact3
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f63371b4-b36d-4507-9685-231aadac7dd1 · outbound

This paper cites Structured Pruning of Deep Convolutional Neural Networks.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Structured Pruning of Deep Convolutional Neural Networks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:54:11.197149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caead39c-5d37-4cb8-9a2e-a412c3c40dbe · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.490879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab06dbc-d845-4aae-86ce-03c708de9917 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.496091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d961e195-a815-4ae1-86ff-16efccf4778f · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.501865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be03b876-e26b-4e5b-9705-afb7f58fdcf7 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.506847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3963d838-6f72-4e7b-b86b-02cce32013ca · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model QLoRA: Efficient Finetuning of Quantized LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.517785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Sparse Low-rank Adaptation of Pre-trained Language Models.

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 d5c5cb5a-8c57-4f2a-b977-295868625434 · outbound

This paper cites Dolan and Chris Brockett.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Dolan and Chris Brockett

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.527384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36327ce8-4612-4138-9a2d-b6834583184c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.531999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c75efd-5040-4c58-9678-0fa52a687682 · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.536813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92600ea-85fd-4b9e-9354-3dfe982ae3ff · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:54:11.303866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12f6c73a-93b7-4b6f-84a9-50152ed69620 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.546588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d66d06c7-9c70-4025-ab40-7367442bf234 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Parameter-Efficient Transfer Learning for NLP

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.551378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3555d198-4914-4b1e-af3c-2a4a0a5102c3 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.555997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b3ff50-a83c-4cd5-99f4-743e78a916fc · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.560517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c293a8-c330-4f0b-8c3f-1d75a8e1fab4 · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model VeRA: Vector-based Random Matrix Adaptation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.564810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b893dcd-8f27-4e9e-8a7d-40db187d7e59 · outbound

This paper cites The NarrativeQA Reading Comprehension Challenge.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model The NarrativeQA Reading Comprehension Challenge

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.569693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5fc609-49c2-4b1c-90dc-6cd3b89314e2 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.574422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91b2cca-f942-4f5c-8c3f-137ea382a018 · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.579181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba29d1fd-e405-4833-8ee2-1b9a795413e1 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.584009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df072850-be06-4ed9-9d18-47e2a91ecabc · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.588783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cea7b6d-03f0-4d79-b005-f3be4fb59c66 · outbound

This paper cites HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.593617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6da912-f647-4ac9-b5d1-0898e2c014a1 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-08T20:54:10.728549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3c51b38-47c8-4d6d-9fc3-bf6104c821f8 · outbound

This paper cites WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.603068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1e0a5a-2ced-4212-9f22-24402fcc7a43 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.607834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 918b440a-68b7-4579-a8cd-44ca445cf393 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.612599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5d709e-fe13-4141-b20f-8b7f9aa10d77 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.617242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd94553-9ef4-4da5-a61f-8eda27aa921a · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.621733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f38e15f7-c06d-4b28-881c-ec9eb291dc65 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.626309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0254b9ec-3565-4b91-8db5-7bf555c043f3 · outbound

This paper cites Neural Network Acceptability Judgments.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Neural Network Acceptability Judgments

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.631118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8dad6fe-358e-4ecc-a6e1-1b2f2c813992 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:54:11.235516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4927c62-88e1-486b-9fd8-93c7ba27d657 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.640031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deeb3919-5091-460d-9ed0-2fdfde551f54 · outbound

This paper cites IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:54:10.909097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5734132b-240e-4add-8d89-1260e5934860 · outbound

This paper cites an unresolved cited work.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.649457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760a7d2e-79eb-4702-9abc-2ac4208b86cd · outbound

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

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.654211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8bcbba-7737-4ee6-bcde-5841c033d5aa · outbound

This paper cites ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.659073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793592b3-e2bb-41b4-8d2f-4546d1316ca8 · outbound

This paper cites URL: " 'urlintro :=.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model URL: " 'urlintro :=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.663757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb53ff5-a892-470d-986a-ea2407716389 · outbound

This paper cites write newline.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model write newline

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.668785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ec94f833-e1c1-4fb8-bf0e-727f8c672594 · inbound

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models cites this paper.

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.328512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.