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Paper Citation Record · LEDGER

A Survey on Semi-Supervised Semantic Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.09899.

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

pith.paper-citation-record.v1
2302.09899 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:40.281206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:48:57.263531Z

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 46fb81e6-4af4-46a1-b2e3-8f654a8c7f0c · inbound

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels cites this paper.

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels A Survey on Semi-Supervised Semantic Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T13:38:40.281206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:38:40.281206Z digest=sha256:fc6940e4955c2a1e9880ea5f8a665e5a79e007563ac4571090808972872bf32c

Observation 3ff5daaf-5143-4497-a760-b8a00c0d87a8 · inbound

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation cites this paper.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:51:32.721700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:51:32.721700Z digest=sha256:2f6aae1512d6c3e8915634eafd7cd39fdbbabc5534977195eef1ab1b93c4e3a0

Observation 47a5c58f-6ebf-4e31-a64a-4c2ebe2ca1f3 · inbound

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness cites this paper.

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness A Survey on Semi-Supervised Semantic Segmentation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:59.813718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:59.813718Z digest=sha256:8a2f631b89af1f037ccca56dcc260bbeb80d5e20e1ea87eec463c31762b900f1

Observation cf8096f1-cad1-4e32-b3f4-3eccab5d616f · inbound

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation cites this paper.

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:33.273865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:33.273865Z digest=sha256:9a48304f33b586dbd3c3859354346e9fbcc9c0077abcf397213bf96d35634bf8

Observation 9b375efd-8ea1-4838-a3a4-1a127c0954a7 · inbound

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation cites this paper.

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation A Survey on Semi-Supervised Semantic Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:27.945603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:27.945603Z digest=sha256:a6af54d91330808b9acdf3e754ddde77aec1932b9f1245ae9caff1366570d60a

Observation e3840254-1dbb-43f6-9d3f-757643c181d5 · inbound

A Semi-Supervised Kernel Two-Sample Test cites this paper.

A Semi-Supervised Kernel Two-Sample Test A Survey on Semi-Supervised Semantic Segmentation

Reference 142

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:26:05.688442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T17:11:00.403911Z digest=sha256:1deaa758ff82071942ce35671b95ab090abb906319e0363657543eaf1b38ebcc

Observation a7c5b4aa-b7a3-41b8-97d4-394cd9c513f9 · inbound

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation cites this paper.

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:48:57.265921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T19:48:28.913654Z digest=sha256:fb939696e87bc8c0593790cd541855b24f6fc0e152ca18eebaab4a5ed434bf94