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Paper Citation Record · LEDGER

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.07853.

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

pith.paper-citation-record.v1
2003.07853 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T14:22:09.499541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T14:24:34.623078Z

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 0fd4f68d-81cb-4589-905f-8c2493d34a86 · inbound

Deformable DETR: Deformable Transformers for End-to-End Object Detection cites this paper.

Deformable DETR: Deformable Transformers for End-to-End Object Detection Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:47:17.022052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T09:47:16.915936Z digest=sha256:f1aa7ff08b8cc5be902dab9e9aa3ba04fc97b7d126db17c99d1518ff03b6aa32

Observation c2dbd09d-0ab3-4eac-9fa6-32e7a52bce88 · inbound

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale cites this paper.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-24T14:24:34.626461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T14:22:09.499541Z digest=sha256:ff3cc1af242296c75d39f05920fe673344798b079b1fa5c7bd74b81b03ab1b37