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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:24:46.781674Z

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 c5c3b70f-fcc1-4146-bd16-56d6f8bf1094 · inbound

Deep High-Resolution Representation Learning for Visual Recognition cites this paper.

Deep High-Resolution Representation Learning for Visual Recognition Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T12:24:46.781674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:24:46.781674Z digest=sha256:5783de7a2598ceda12d0431098bd143ee28c33eb96c941a5e65d9383d5e28af3

Observation 8d03eac3-91c8-4ced-b33a-05647434d275 · inbound

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions cites this paper.

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:09:59.557502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:59.557502Z digest=sha256:ac54b6c2773b9414abc97402408389cf3c063d8d3a85c4704d8ffdbb1d857f72

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=sha256:4e472efdf3cb1aeec6501071182b636d91950d7d940236fe628586232863680e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T13:51:35.769341Z digest=sha256:35d9e747d76da40e81fab9c95e5bb2b55f153a45c9115ad32c6154be8bb64dfe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T07:43:28.627414Z digest=sha256:9f7439e335e041abb25cfa1bbf2a27e555ee7eba1af5ef7d6cf4bc5a22dcb579