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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:42:00.608493Z

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 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.

source=arxiv_source observed=2026-08-11T15:42:00.608493Z digest=sha256:d67ddfbaa63bf4e68add37409a596b5016e88d4799aa201d787088c9df33fa57

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.

source=arxiv_source observed=2026-08-11T15:23:57.053582Z digest=sha256:0e6bc31a1f7540e75ad718cb45f28a5a033c4614669c7a3719002715e060649b

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.

source=pdf_text observed=2026-08-10T20:33:05.834464Z digest=sha256:13572ad1fa38030ba1de363515323a094040f63b196fc4ae2bbfa63de0bbe252

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

source=pdf_text observed=2026-05-08T18:33:29.066072Z digest=sha256:2e0b25d3d1e82b5c6118f4256053fcf1ef57529c4b7dd317db09df323af9e414