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Paper Citation Record · LEDGER

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06136.

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

pith.paper-citation-record.v1
2407.06136 v4

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:37.620865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:32:19.469565Z

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 1e0fd3f2-1a95-4629-a985-ffc402869e5c · inbound

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization cites this paper.

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T05:04:45.632308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:04:45.632308Z digest=sha256:2dc1a041312dc8df0a73ca7926ae9869d4e8a9cda1b1a3c5424eb718dccaff33

Observation 272355ec-867d-499c-b953-edb3b21463bd · inbound

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning cites this paper.

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:20.617097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:20.617097Z digest=sha256:7c9087ac257671197469bbb9320b8ea43dd0cd5510f7617d6e17ed80cb20fd93

Observation 11d41a8d-e730-4594-9616-b5041fd6b769 · inbound

Few-Shot Vision-Language Action-Incremental Policy Learning cites this paper.

Few-Shot Vision-Language Action-Incremental Policy Learning Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:37.620865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:28:37.620865Z digest=sha256:e31563ac03e5f34c7afc49e5d7d2723683b3930083994abe67cc7fad5dd346c5

Observation be136d58-d185-4241-b0f2-2b771b336044 · inbound

Exemplar-Free Continual Learning for State Space Models cites this paper.

Exemplar-Free Continual Learning for State Space Models Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-24T02:14:45.134262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T13:27:20.403879Z digest=sha256:689ba2f363a1d8b76cbb15948dfb4b32427dc0720571672ba0f8d321cc9df141