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Paper Citation Record · LEDGER

ReMamba: Equip Mamba with Effective Long-Sequence Modeling

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.15496.

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

pith.paper-citation-record.v1
2408.15496 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:22.150018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:38:02.871981Z

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 5e9056e8-1c54-4971-9102-b67263794251 · inbound

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction cites this paper.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:33:05.765017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:05.765017Z digest=sha256:fb64a6a568082512108e96d12b9fee696f6a551e4ac6f7b121edc236e89d7130

Observation febc9cb6-46fb-44b5-8b90-95682181d396 · inbound

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation cites this paper.

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:22.150018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:56:22.150018Z digest=sha256:5d5468c68c68de6b34925b94784a02e2dcef4c84529a2c8a09424be88f6b95c9

Observation b7806e44-e988-447d-acc3-a0eb3050dde2 · inbound

Rethinking the long-range dependency in Mamba/SSM and transformer models cites this paper.

Rethinking the long-range dependency in Mamba/SSM and transformer models ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T10:22:53.191008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:22:53.191008Z digest=sha256:2cff8dbcf13187f7112b74aa9b611c077ec7d0275503cad2c7047d43887a0b91

Observation a5d719e9-637b-4c08-afbe-69b2968e412d · 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 ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:38:02.874296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T17:34:13.306368Z digest=sha256:2cb11559b0ea1d7d7a1ddf1150f0dca031eb53316617cf2425af236012ab42b7

Observation 233de138-d0a8-46c2-850c-ba0972aa8ca6 · inbound

User-Centric Modeling of Transactional Sequences with Explainable State Space Models cites this paper.

User-Centric Modeling of Transactional Sequences with Explainable State Space Models ReMamba: Equip Mamba with Effective Long-Sequence Modeling

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T10:27:22.021947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:27:22.021947Z digest=sha256:ca0ccbcd021031bdaee6df8b30d1e59ecb54886e867dcbc413ede54957bcf9c5