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Paper Citation Record · LEDGER

A Hybrid Transformer-Mamba Network for Single Image Deraining

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00410.

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

pith.paper-citation-record.v1
2409.00410 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:25.885174Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:48:13.629736Z

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 bfca7ca8-a86b-42aa-939a-ccf879acdb83 · inbound

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining cites this paper.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A Hybrid Transformer-Mamba Network for Single Image Deraining

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:25.885174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:25.885174Z digest=sha256:c3b1d932e73ecccdf9b27714e10eef1aba912c2f982646cac7ad40c30acbaa02

Observation fbfa5f6f-e4fa-4034-a0db-8d626ab0d4a2 · inbound

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection cites this paper.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A Hybrid Transformer-Mamba Network for Single Image Deraining

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:48:13.678177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:48:13.074091Z digest=sha256:1b9779963a74d9453c66ce24bbbd10da1219efd4a2a0c6abbc952e35d78fece0