Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Parameter-Efficient Fine-Tuning of State Space Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.09016.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:25:10.349083Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:49:50.122088Z
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 d873fb09-0883-420e-a5f1-2577b2dc0a05 · inbound
S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models cites this paper.
S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models Parameter-Efficient Fine-Tuning of State Space Models
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T22:23:21.368380Z
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 b2d4001e-8fa7-43ea-86b7-48e6883803e0 · 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 Parameter-Efficient Fine-Tuning of State Space Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:21:06.915259Z
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 e01b6c89-0b1d-43e1-8feb-abd1cba61078 · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Parameter-Efficient Fine-Tuning of State Space Models
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T20:59:28.569580Z
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 6c092895-025d-4ac6-ace5-023e7a943bc7 · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Parameter-Efficient Fine-Tuning of State Space Models
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T04:59:45.204050Z
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 37c4958a-63e4-4b26-9297-eb6c0b328f4b · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Parameter-Efficient Fine-Tuning of State Space Models
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T21:53:47.218575Z
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 042a81fc-6104-4639-86cb-7cca0e84488a · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Parameter-Efficient Fine-Tuning of State Space Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:49:50.124219Z
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 ea501757-8159-4735-8091-cc06df0f6a91 · inbound
A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines cites this paper.
A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines Parameter-Efficient Fine-Tuning of State Space Models
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:47:44.534813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18746a5b-0cc3-4967-8c25-683a0500e774 · 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 Parameter-Efficient Fine-Tuning of State Space Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:25:10.349083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.