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Paper Citation Record · LEDGER

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.05447.

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

pith.paper-citation-record.v1
2503.05447 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:02:34.964681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:44:28.012784Z

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 3a54b0c2-3903-4112-8156-c39f53c51fa1 · inbound

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:28:16.524229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T09:28:16.189617Z digest=sha256:769fc0a08cdff9a9fc701f8c5ad7551e916faeb9cd7e6b15c19576891dc12e9b

Observation d2e80d1e-e17f-483a-9f4b-00104bb7aee9 · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:44:28.014211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T05:56:51.447893Z digest=sha256:4a95445ecb548cc6e4fa6bde8b8bc809d50ee4c0a680eda422b4e9b863b7273f

Observation 7820884f-55fc-487b-aea3-d53f31c91048 · inbound

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift cites this paper.

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T14:02:34.964681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:02:34.964681Z digest=sha256:1d1079810b157a0c43476aff649a57de3efa3a6a0e89d700c1babfdef5417cfd