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Paper Citation Record · LEDGER

OoDIS: Anomaly Instance Segmentation and Detection Benchmark

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.11835.

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

pith.paper-citation-record.v1
2406.11835 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:06:37.459091Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T05:17:35.530081Z

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 184f570d-384e-4c83-8fe7-ac7ea510cbc2 · inbound

BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation cites this paper.

BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T16:43:23.310346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:43:23.310346Z digest=sha256:7e65b1474d9804634c04bbad8e225c19405f409bf4bc2cb0447d8e2448778a73

Observation 557c527f-339b-4a13-8a14-5c98f1cb676d · inbound

Open-World Panoptic Segmentation cites this paper.

Open-World Panoptic Segmentation OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T13:51:21.746895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:51:21.746895Z digest=sha256:e8d4053e5953cf424851f58035c20c06e99a3e6492d1f6eb4a5904803d44452b

Observation 7d5468d6-a544-46db-9793-79c94f59836c · inbound

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

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:17:35.534352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T05:16:36.255597Z digest=sha256:8554251f6fb16c31d542c736487e8d7c33b2a55956922580d78180cbd039c0eb

Observation adbc1586-dea8-41e5-a8f2-5f025d5bfa10 · inbound

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving cites this paper.

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T01:06:37.459091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:06:37.459091Z digest=sha256:4c9ca1fe8e9d6064974041efee3174e1363cb056d74e4425ab6a655f692d03aa