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Paper Citation Record · LEDGER

On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.11221.

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

pith.paper-citation-record.v1
2408.11221 v1

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 2026-08-06T21:36:18.549547Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T05:17:35.569919Z

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 c7f58b06-5d5b-4dbe-a62c-a85ac68b220b · inbound

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving cites this paper.

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:17:35.574484Z

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=2026-05-23T05:16:36.255597Z digest=sha256:d45a9ee01ca3de471a402eacba72fe920ee4b97c127e959cb7c9d37ed5fdfdfd

Observation 989687e5-18d6-43b5-bb1c-f1c222a726bd · inbound

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? cites this paper.

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:18.549547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:18.549547Z digest=sha256:d7419e16bc2d42e193194d92941bda5353677e3365ac5e62b237c81e614d0d08

Observation b8d38076-b416-46c3-ac54-fc47037edef7 · inbound

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning cites this paper.

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:00:21.611396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:00:21.611396Z digest=sha256:77bbb0c045b95f380868ed40aec7e8a5cba07150e55b139979b4b62eab370939