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Paper Citation Record · LEDGER

DeciMamba: Exploring the Length Extrapolation Potential of Mamba

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.14528.

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

pith.paper-citation-record.v1
2406.14528 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:19.712744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:21:14.915687Z

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 7a938626-bc81-4701-9e58-4cf7c375e58d · inbound

Teaching VLMs to Localize Specific Objects from In-context Examples cites this paper.

Teaching VLMs to Localize Specific Objects from In-context Examples DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T16:39:40.469752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:39:40.469752Z digest=sha256:63370d583d3d095df431fb9ce1198ea733a7c4643c4040a24a1ee3f16c3f6fd3

Observation e0d11af2-eaeb-46be-b550-ef666c06c5e9 · inbound

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:33.368101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:33.368101Z digest=sha256:0b842b17169240a2a357449b7a9b3b7fa3d191b7858a421d67aec66194cf4485

Observation f79a463f-8a1e-48c1-9a7a-610cec6d008d · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.383121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.383121Z digest=sha256:f5207e5d4f96e10fcb348dc940bb82c8778b7d510b9d7d511c4c7318a88e1cb3

Observation 9a8824e7-f577-4f62-89c5-822cc4b57b4c · inbound

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement cites this paper.

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:19.712744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:16:19.712744Z digest=sha256:981835e0dfb861bae2a6c66364f48206d31c9da8664a51b8156413ff0ae8f047

Observation f13658b8-5ef2-4715-a90d-44e7ce5040ff · inbound

Overflow Prevention Enhances Long-Context Recurrent LLMs cites this paper.

Overflow Prevention Enhances Long-Context Recurrent LLMs DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:58.576118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:58.576118Z digest=sha256:c3c4b282aab5afd9a506378da12d9b3cc97520834c889d0ad5766ff335efb39b

Observation 3b11432c-7289-4214-a0e8-0356dc373cd5 · inbound

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention cites this paper.

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:48.617700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:58:48.617700Z digest=sha256:8ce6a10500a040357b2195a746ea11d47d3009f99df19b886664944d690e951d

Observation 543f5233-02c4-4b56-9cc3-523bf977d1bc · inbound

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers cites this paper.

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:40.814395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:40.814395Z digest=sha256:78c2a63ceecf3593a570325d2d1bfd9c34364d5507d148ffaf10d68dae00203b

Observation c3993978-42db-4f54-a94e-cb414432ddd3 · inbound

TTT3R: 3D Reconstruction as Test-Time Training cites this paper.

TTT3R: 3D Reconstruction as Test-Time Training DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:41:16.449446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T06:41:16.306593Z digest=sha256:9b57b154a927a5a6178863ab6a8baa0f468fee60a5a852bb4af7de74977dd3a8

Observation e09cbeb2-d77a-43c4-b5e7-18ee38b370b2 · inbound

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:21:14.918191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T10:18:04.431436Z digest=sha256:52218c3601d7f9d76dee442198fdeb314bed89d25f03ed3140f60712d94f1734

Observation aff1dbde-1675-44be-be92-812acdc08db7 · inbound

Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks cites this paper.

Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:38:02.883043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T17:34:13.306368Z digest=sha256:7807dca28872843226184c1452ba1403ab4177c393d68d7f1020056744e086ac