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Paper Citation Record · LEDGER

Composition Vision-Language Understanding via Segment and Depth Anything Model

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.18591.

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

pith.paper-citation-record.v1
2406.18591 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:47.521592Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:58:24.210371Z

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 78987285-6ead-49e2-8da2-2ca6ed107c8b · inbound

First-place Solution for Streetscape Shop Sign Recognition Competition cites this paper.

First-place Solution for Streetscape Shop Sign Recognition Competition Composition Vision-Language Understanding via Segment and Depth Anything Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:47.521592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:47.521592Z digest=sha256:9c1caaeb5320410745538eba477ea669b110ab70e14f7f440b70723b87fdde0e

Observation 5f87289d-1f85-4537-b73d-e6d7b4feac02 · inbound

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving cites this paper.

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving Composition Vision-Language Understanding via Segment and Depth Anything Model

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:58:24.279948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:58:22.283808Z digest=sha256:ddc079d156d2d897df013b68f9b335bfabdcce0b88971ad21131a6d629f22b47