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Paper Citation Record · LEDGER

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02615.

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

pith.paper-citation-record.v1
2408.02615 v3

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:32:17.443168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:09:44.599560Z

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 f797b458-8602-4818-9540-35117f99c199 · inbound

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation cites this paper.

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:32:17.443168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:32:17.443168Z digest=sha256:62b594ae4007a2089f7488644b72ab73e3cda594f59151a0faf215c9b5fb7786

Observation 47d6df64-ca99-4439-8328-8a0ffc12025e · inbound

M4V: Multimodal Mamba for Efficient Text-to-Video Generation cites this paper.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:18.953995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:18.953995Z digest=sha256:2f2a45b7ebeefedf5bdca8428e7f365dcd5644874bf90ab781b751dd4b8fb410

Observation 6ddafa0f-614e-4746-945e-585cf6b576a4 · inbound

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting cites this paper.

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:09:44.602850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T05:09:06.254532Z digest=sha256:dfd6522b66c494433ed8741360038a6d473e96057c260eb4e085ca855994371c