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Paper Citation Record · LEDGER

Segmenter: Transformer for Semantic Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.05633.

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

pith.paper-citation-record.v1
2105.05633 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:28:45.091380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:44:02.799092Z

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 8a02db8a-6bbe-4747-adeb-988b9cfb9a69 · inbound

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization cites this paper.

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization Segmenter: Transformer for Semantic Segmentation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T12:28:45.091380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:28:45.091380Z digest=sha256:c2fdfde1292ce53eac893a4c7ce71bf71de8bd439d5d4dc9a0b84f50b60df3f4

Observation 4f7e590e-c630-4d3a-b9d4-e4cbdb947ad8 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Segmenter: Transformer for Semantic Segmentation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:53:19.803897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T13:51:35.769341Z digest=sha256:ba595d3956fbad30d00977085915fd919f8d281cfc8f5e94da71548ee7cae27e

Observation 1df0b453-995d-49b4-bd81-fbe90227f2a5 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Segmenter: Transformer for Semantic Segmentation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:44:02.800571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:43:28.627414Z digest=sha256:52461dd605b66c279a55a1b5ab3abc9dc93b10ca2cfd9a5e5dd6719bfb437b70