Paper Citation Record · LEDGER

MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.03855.

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

pith.paper-citation-record.v1
2411.03855 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:25:10.358968Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:23:21.332656Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 23a540f1-ef74-4f48-8b81-7cdcee306477 · inbound

JCAPT: A Joint Modeling Approach for CAPT cites this paper.

JCAPT: A Joint Modeling Approach for CAPT MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:57.344794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 576e1620-993c-437d-886a-214cab3398f3 · inbound

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

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.334574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33a5f326-87e5-4c70-b128-1340a7f75f76 · inbound

Where Should LoRA Go? Component-Type Placement in Hybrid Language Models cites this paper.

Where Should LoRA Go? Component-Type Placement in Hybrid Language Models MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:06.861085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf345921-9ff4-4f4e-806d-fc0ef3ddcbd8 · inbound

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs cites this paper.

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:10.358968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.