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Paper Citation Record · LEDGER

Adversarial Learning for Semi-Supervised Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1802.07934.

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

pith.paper-citation-record.v1
1802.07934 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:53.069347Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:48:20.938721Z

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 5a44efca-a412-4761-914f-878905a0b7f8 · inbound

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

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:53.069347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:53.069347Z digest=sha256:62a8de4a508ec1cd51c9d38e5768df67073cfef3140936a7f3a1269f37c5ac97

Observation 2c6b2f3e-0cb3-4d36-80c0-eda31f309ea8 · inbound

Ensemble Foreground Management for Unsupervised Object Discovery cites this paper.

Ensemble Foreground Management for Unsupervised Object Discovery Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T13:18:08.437593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:18:08.437593Z digest=sha256:b92ccd9956ff99c11f83568cdc4698dd2dae0065ce48cdaf819282d04a33d9fa

Observation 8c887980-8816-4485-929a-716907ca3879 · inbound

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation cites this paper.

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T15:45:41.444827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:45:41.444827Z digest=sha256:ab6340f9b4815c6ac9b860ef07b37303d0dd1139a60f0b279ed3900ba00899ac

Observation 588f930d-db4c-4654-9d08-01ae446cb144 · inbound

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation cites this paper.

MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T12:56:08.652086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:56:08.652086Z digest=sha256:69b9da7690867aa8225582a24cfcb26f86984cdadf5cfa5dc182fa75b77c15b6

Observation 15346113-14fb-42ac-8339-ff963bc49abc · inbound

To GAN or Not To GAN: Segmentation Analysis on Mars DEM cites this paper.

To GAN or Not To GAN: Segmentation Analysis on Mars DEM Adversarial Learning for Semi-Supervised Semantic Segmentation

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:48:20.939831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:32:26.610452Z digest=sha256:6a5dd923da17198b23e32a39aa9235f8fca9f5e8d73a5b2becd2ccaf6c708413