Paper Citation Record · LEDGER

Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.08195.

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

pith.paper-citation-record.v1
2404.08195 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:46:37.185933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:20:42.307244Z

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 25956519-9a99-42f2-8eb3-96205a287fb7 · inbound

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction cites this paper.

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T18:46:37.185933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c8a43b-c7b0-404d-bfb4-8196bd115d77 · inbound

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification cites this paper.

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:00.608493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727a7e06-fb29-4e51-ba1f-ec51a19eb099 · inbound

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation cites this paper.

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T15:23:57.053582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecaffe7f-5974-4c16-9f07-c6ac17e4d795 · inbound

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction cites this paper.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.834464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d58072-ca0e-4eaa-bd77-dab2e79f93d3 · inbound

DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation cites this paper.

DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:42.309303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.