Pith. sign in

Paper Citation Record · LEDGER

Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.06323.

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

pith.paper-citation-record.v1
1809.06323 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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:18.180005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T18:09:47.794140Z

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 1180f4b1-2484-4b31-8a6d-c1abd80a646e · inbound

Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks cites this paper.

Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:09:47.797162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T18:08:06.279690Z digest=sha256:fe8d4e1272026c698823ffdcf351a430d5d93d9faa6f7d1f5ff164b6f2a93a51

Observation 8fafae1a-3b8e-4f0c-90f6-56bb7943b903 · inbound

SqueezeNAS: Fast neural architecture search for faster semantic segmentation cites this paper.

SqueezeNAS: Fast neural architecture search for faster semantic segmentation Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:18.180005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:18.180005Z digest=sha256:eaa4b9045a53d40d1293b086b751bcf7b52c49cdbe5a4de0263083098ee1e7f9

Observation b1abd261-eb76-4d40-89dd-43a118466c31 · inbound

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks cites this paper.

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T14:01:23.012055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:23.012055Z digest=sha256:6e9f8a7288015eaa7c89cd0a0d8e0458f25b19921b10175699f893a6687e4004