Paper Citation Record · LEDGER

Is Mamba Capable of In-Context Learning?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.03170.

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

pith.paper-citation-record.v1
2402.03170 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:30:44.809572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:57:34.515266Z

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 2d57c20b-2e61-46e4-a377-8412dbad17b0 · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Is Mamba Capable of In-Context Learning?

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:16:25.760239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a09dccc-611e-48ae-9ad0-60dc9c588146 · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Is Mamba Capable of In-Context Learning?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.224114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbd0dff5-9c2f-4f1e-af96-23b35366f6b8 · inbound

Scaling Algorithm Distillation for Continuous Control with Mamba cites this paper.

Scaling Algorithm Distillation for Continuous Control with Mamba Is Mamba Capable of In-Context Learning?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:44.809572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e0b13e-44c4-4beb-b88f-ab5c52a0008d · inbound

Dendritic In-Context Learning in a Single-Layer Spiking Neural Network cites this paper.

Dendritic In-Context Learning in a Single-Layer Spiking Neural Network Is Mamba Capable of In-Context Learning?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:57:34.517235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.