Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:14:28.249801Z
Paper Citation Record · LEDGER
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2411.19455.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T01:32:13.445719Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:56:26.679407Z
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e1524eaf-ca0a-48d7-8933-6eef02bcd954 · outbound
This paper cites Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.203535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1b82928-000b-4d84-9f7f-d8aa7ecd896e · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.211923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1f84f7f-d89a-4ef0-ac6a-08499177ef2d · outbound
This paper cites an unresolved cited work.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:14:28.418001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 915d7552-9f78-4917-8a43-09d0d861c5e7 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Adam: A Method for Stochastic Optimization
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.224223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db051f0-3769-4698-aee2-39bb156b54c8 · outbound
This paper cites VMamba: Visual State Space Model.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models VMamba: Visual State Space Model
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.228615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81fef3eb-2662-44fd-9344-49236850b4cf · outbound
This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.239229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58416053-4d03-4acb-89a7-c49da1aae0c8 · outbound
This paper cites HOPE for a Robust Parameterization of Long-memory State Space Models.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models HOPE for a Robust Parameterization of Long-memory State Space Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.243039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a20bca1-2d29-49e2-8a2e-eb828e3c9728 · outbound
This paper cites Recurrent neural networks: vanishing and exploding gradients are not the end of the story.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Recurrent neural networks: vanishing and exploding gradients are not the end of the story
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.246519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780fda69-06da-4824-b142-3ed5c00dc316 · outbound
This paper cites Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.232077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6018fadc-a3ff-4f2c-90cc-c3f858b3af18 · outbound
This paper cites Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.219759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62c2a065-7225-4980-8545-f1354d0e37db · outbound
This paper cites An Empirical Study of Mamba-based Language Models.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models An Empirical Study of Mamba-based Language Models
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.235767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0524886-4481-4a6e-8553-a5e472254413 · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Gaussian Error Linear Units (GELUs)
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.216027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d443c0eb-ca99-47ae-95c5-7194d3fd9812 · outbound
This paper cites Theoretical Foundations of Deep Selective State-Space Models.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Theoretical Foundations of Deep Selective State-Space Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:14:28.208016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation bdf68db8-54f2-49ad-ab15-86205b94643d · inbound
Continuity Laws for Sequential Models cites this paper.
Continuity Laws for Sequential Models Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:56:26.687343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.