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Paper Citation Record · LEDGER

Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.03112.

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

pith.paper-citation-record.v1
2305.03112 v2

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:31:59.524484Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:21:25.900508Z

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 c6fcfb3f-b9b0-4c66-958c-fbf697ffeddf · inbound

FoPru: Focal Pruning for Efficient Large Vision-Language Models cites this paper.

FoPru: Focal Pruning for Efficient Large Vision-Language Models Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:59.524484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:59.524484Z digest=sha256:116c0feb063f64f725fc6f2f94275ae941a97aecd4010bc1716bb7f62921a5ba

Observation a381c732-f90e-475b-8017-eeb86c8f6b82 · 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 Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T15:23:56.828297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:23:56.828297Z digest=sha256:e0b5e8aa3c169448dc39be8436214a3f56b8906f8032bddea4f62a889a2ce5ba

Observation 434cf4cb-4b7a-4028-87d2-023990bdfbac · inbound

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement cites this paper.

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:20.237731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:20.237731Z digest=sha256:acca1e182225c734aac3edeadd4e4d5fc87b4d410f5234086dbcd20cd75f8d0e

Observation 11cedf69-7e0f-41f1-9a53-7ef7f45e6307 · inbound

Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization cites this paper.

Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:21:25.905174Z

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.

source=pdf_text observed=2026-08-06T12:21:25.590334Z digest=sha256:f5c1502f4a3602115327ab66cd5e58c51d95a4eeed600f7f68d77e4c774f19e8