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Paper Citation Record · LEDGER

DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.11357.

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

pith.paper-citation-record.v1
1907.11357 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:16:00.882806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:55:29.044403Z

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 b8b1d0dc-6cef-48b5-a879-9635d7af2349 · inbound

MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration cites this paper.

MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:55:29.046796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:52:34.592172Z digest=sha256:3ac70855106f5313cb87050e0920415f4132453087edb29fcdf63888215ca663

Observation 25d99781-c583-47ce-a3f5-7331db3f1ba2 · inbound

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing cites this paper.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-01T12:16:00.882806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:16:00.882806Z digest=sha256:48627492133cecb1610c279e7d320e80f00fc4ebd5e1ae707e130e1ac282eb3e