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Paper Citation Record · LEDGER

Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2206.06363.

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

pith.paper-citation-record.v1
2206.06363 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 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:18:59.499002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:53:57.269871Z

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 fdaf9936-547a-4b44-8461-201b8ca5720b · inbound

Causal Unsupervised Semantic Segmentation cites this paper.

Causal Unsupervised Semantic Segmentation Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:53:57.273415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T05:53:15.996646Z digest=sha256:d851515c14f1f37eac07b55fdde838fe0b6d3d2db94c26141751155241c15a29

Observation 3562cca1-af12-4ec2-a2f7-1a59aedd45c2 · inbound

CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation cites this paper.

CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T13:18:59.499002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:18:59.499002Z digest=sha256:b8f4597ed7253188f92628f710619e5fc855153249a34777bdfb1f1a3520278e

Observation 04cc993d-d815-420e-b3ea-bcc5b2b34e4d · inbound

Probing the Mid-level Vision Capabilities of Self-Supervised Learning cites this paper.

Probing the Mid-level Vision Capabilities of Self-Supervised Learning Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T12:51:40.805720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:51:40.805720Z digest=sha256:960a2e6eb4ce5209ca888ccd1b26dbf96edf36728bb8f3a44861bcceefb92072

Observation 88766d13-e528-4562-85c2-5a017eca1b37 · inbound

Discovering and using Spelke segments cites this paper.

Discovering and using Spelke segments Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T15:25:14.528753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:14.528753Z digest=sha256:b884908744a3d33051b9747b64e2b5dd6b3510d62bced824e685410dda7aaab1

Observation bf92eded-4d86-491e-b3f2-3a962ecd9672 · inbound

Ensemble Foreground Management for Unsupervised Object Discovery cites this paper.

Ensemble Foreground Management for Unsupervised Object Discovery Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T13:18:08.545528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:18:08.545528Z digest=sha256:4a0464f91d9037c3bea2ca4afd10ef33f359842e0336ad24d7b0174e14601dfe

Observation 543322dd-0fc9-4565-862b-fdeca6f778d9 · inbound

Unsupervised Instance Segmentation with Superpixels cites this paper.

Unsupervised Instance Segmentation with Superpixels Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T11:20:59.235973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:20:59.235973Z digest=sha256:547599a01119eb5cbee6248181af838a20ae1226172fa0a0ba3ba63c3f19aa54

Observation 686ae4d0-7858-43a9-88c0-0f70737efd4a · inbound

Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness cites this paper.

Reference-based Category Discovery: Unsupervised Object Detection with Category Awareness Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:46.315177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T18:27:24.286872Z digest=sha256:e3391b8353de188bb5ee7448cb99b8a598ff5bbc53d51e6364285bcaf096f322