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Paper Citation Record · LEDGER

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.06800.

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

pith.paper-citation-record.v1
2403.06800 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:31:26.902028Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:36:23.657251Z

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 c4aefde6-d006-4cce-8d33-ab7c29997c0a · inbound

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image cites this paper.

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:26.902028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:31:26.902028Z digest=sha256:66b0246096bb9b0bc1e37c33d6634358ec1219e7fa71f8e248dceca37deaffdd

Observation fe7a94c4-ed2a-4dc2-927d-ae815c20fef3 · inbound

Look a Group at Once: Multi-Slide Modeling for Survival Prediction cites this paper.

Look a Group at Once: Multi-Slide Modeling for Survival Prediction MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T18:30:58.783557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:30:58.783557Z digest=sha256:8a2dfdbc33ad2503f57973a577b0d6d8b19efac3c0eef590613e8e2466f04805

Observation 452c06e8-13d5-4eaa-b7ff-a8c8d2d56774 · inbound

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba cites this paper.

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T10:23:54.902860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:23:54.902860Z digest=sha256:f32aa9b6dfef5dd7e8f8ab567b17592f63195aae611345ca6064b262f604f10b

Observation 46856c10-9364-45fa-915e-c88f3bd84f9e · inbound

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation cites this paper.

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:40.424082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:41:40.424082Z digest=sha256:496f7434ed2728b2b8e08339299b6b4b2f1db4cc8ebb93156c5a13bdbdefa1c8

Observation 68feddfa-c382-4fae-bb7d-49084f20ac09 · inbound

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition cites this paper.

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T21:51:58.389943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:51:58.389943Z digest=sha256:db44c0bb14a69af7bc87c4573ced7940bcffc6e6e1d021e4b8a29908759d5b3b

Observation b0a3bb0c-c465-474a-9ec5-8e9fa183cdf8 · inbound

Toroidal area-preserving parameterizations of genus-one closed surfaces cites this paper.

Toroidal area-preserving parameterizations of genus-one closed surfaces MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T23:36:23.713911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T23:36:18.918958Z digest=sha256:066868cd7a5607a108430239fc7da6f8db074a8f6286dacdbac53a403bba505b