Pith. sign in

Paper Citation Record · LEDGER

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.10194.

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

pith.paper-citation-record.v1
1911.10194 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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:37:11.767418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:44:02.806812Z

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 21dc5c17-c78d-47b9-a496-657c0131eff9 · inbound

Panoptic Segmentation of Environmental UAV Images : Litter Beach cites this paper.

Panoptic Segmentation of Environmental UAV Images : Litter Beach Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T17:37:11.767418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:37:11.767418Z digest=sha256:a6307c2e4876bfc1b4a0ec02500d6a9a7100150d66a85e522dfb75116b51701d

Observation 7b24bbac-b111-495e-9795-2d5fe897f51b · inbound

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

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:53:19.839742Z

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=2026-05-20T13:51:35.769341Z digest=sha256:4da7e14b2f7126267f1b82aa182b40a495c9df0f94b994709936f8fcc4540d3c

Observation 3f7f18a5-c0b0-497d-9217-0f349b351d52 · inbound

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

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:44:02.808079Z

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=2026-05-21T07:43:28.627414Z digest=sha256:d0d369ed2e32ee8cb3ff7141ad0ec2c7d22eea2e5b832687e34827f69296e57e