Paper Citation Record · LEDGER

Vision Foundation Model Embedding-Based Semantic Anomaly Detection

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2505.07998.

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

pith.paper-citation-record.v1
2505.07998 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:10:22.767326Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T05:22:43.072750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:23:03.581650Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy18
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d07bb0f-5557-404a-a902-c4dbb6bda7d4 · outbound

This paper cites Scaling waymo one safely across four cities this year,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Scaling waymo one safely across four cities this year,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.172188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da82dd67-f712-4d0d-a490-c5ae5ed6089b · outbound

This paper cites Any tesla driver can now join full self-driving beta regardless of safety score,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Any tesla driver can now join full self-driving beta regardless of safety score,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.158403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f13460f-faf2-4e3a-bccf-dab3c4814a90 · outbound

This paper cites A System-Level View on Out-of-Distribution Data in Robotics.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection A System-Level View on Out-of-Distribution Data in Robotics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.645740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5563229b-d6de-45d9-b1be-02227daa87cb · outbound

This paper cites Semantic anomaly detection with large language models,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Semantic anomaly detection with large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.145523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ac2f22a-5115-49bd-8aaf-a187c4c904e8 · outbound

This paper cites Watch tesla autopilot get bamboozled by a truck hauling traffic lights,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Watch tesla autopilot get bamboozled by a truck hauling traffic lights,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.133032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 105078ec-462b-49c9-b442-f37f99cba426 · outbound

This paper cites (2021, April) Tesla keeps ”slamming on the brakes” when it sees stop sign on billboard.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection (2021, April) Tesla keeps ”slamming on the brakes” when it sees stop sign on billboard

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.120055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65114041-cb85-4dbd-83e2-14e00ae4a4df · outbound

This paper cites Real-time anomaly detection and planning with large language models,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Real-time anomaly detection and planning with large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.107721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ee62643-1bc0-4c83-aa25-c0622a069e66 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Masked autoencoders are scalable vision learners,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.087110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ad54e2b-00e2-4b90-a59c-3002f4c54adf · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Dinov2: Learning robust visual features without supervision,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.679058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0fe6614-40ea-4b0b-8e54-9926670f5763 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.683100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c60220-b2b7-405c-a98d-96755803134c · outbound

This paper cites It’s not just a stop sign,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection It’s not just a stop sign,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.067119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62f2105b-7ffa-40d8-b2a8-dec06155d607 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection On the Opportunities and Risks of Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.691931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7412e807-663b-4e8e-ab07-06f945c2321e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Learning transferable visual models from natural language supervision,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.696282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fdb7ffa-9eaa-4359-8670-c281f7ed498b · outbound

This paper cites Emerging properties in self-supervised vision trans- formers,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Emerging properties in self-supervised vision trans- formers,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.700025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905fdeac-5e09-4a2a-8680-067e40f6b50f · outbound

This paper cites Vision transform- ers need registers,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Vision transform- ers need registers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.046335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f2d7906-f3e9-4081-b89e-dbcf91ca1ea5 · outbound

This paper cites Segment Anything.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Segment Anything

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.707349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92267ad3-98a7-4513-821d-86f9704edaf8 · outbound

This paper cites SAM 2: Segment anything in images and videos,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection SAM 2: Segment anything in images and videos,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.033266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1a9914d-5ded-4f4d-a3b1-e4ad01507be8 · outbound

This paper cites Simple open-vocabulary object detection,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Simple open-vocabulary object detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.021003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 30ad83c7-5f65-40c5-acdf-b2637e189f15 · outbound

This paper cites Scaling open- vocabulary object detection,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Scaling open- vocabulary object detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:23.008770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 816bb544-ff51-4f2e-b28d-2627c71abb8c · outbound

This paper cites Segment every out- of-distribution object,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Segment every out- of-distribution object,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.995757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7444da1-5e29-40f5-9478-37e31d30fc94 · outbound

This paper cites Anomalyclip: Object- agnostic prompt learning for zero-shot anomaly detection,.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Anomalyclip: Object- agnostic prompt learning for zero-shot anomaly detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.981312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3b12d7e-13bd-4c04-8d0f-3b03033bdb17 · outbound

This paper cites 7 visualizes interme- diate steps of the embedding-based anomaly detection.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection 7 visualizes interme- diate steps of the embedding-based anomaly detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.967970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14e13718-2a9e-4e9a-8000-3aee1a1ded15 · outbound

This paper cites 8 shows all intermediate steps.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection 8 shows all intermediate steps

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.954067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a53f5d3-54fc-4eab-8a86-f47ab2963c20 · outbound

This paper cites an unresolved cited work.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:22.941426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9354faa6-43ec-4294-a18a-1578b2cc88b3 · outbound

This paper cites an unresolved cited work.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:22.927644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38dc16bc-86e6-4afb-ae63-4581369f73be · outbound

This paper cites an unresolved cited work.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:22.912985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation faf3425b-992a-4dce-a46a-5f9f5929dbc0 · outbound

This paper cites • Anomaly: May pose risks, lead to unsafe be- havior, or cause violations.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection • Anomaly: May pose risks, lead to unsafe be- havior, or cause violations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.899916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebc518e2-5d2c-4995-9057-a0a6573370e8 · outbound

This paper cites an unresolved cited work.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:22.886697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 690edc38-4de2-4c13-8feb-a4c0cdc4f3c9 · outbound

This paper cites an unresolved cited work.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:22.873619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adb0da28-cd08-4599-820d-e2671fd00c3e · outbound

This paper cites Example: The vehicle observes: • A cyclist riding on the sidewalk Classification: Normal (a) Anomaly scoring heatmap (b) Anomaly classification result.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Example: The vehicle observes: • A cyclist riding on the sidewalk Classification: Normal (a) Anomaly scoring heatmap (b) Anomaly classification result

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:22.860696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66147229-86a2-4f1f-ae29-83248c1dc728 · outbound

This paper cites Semantic Anomaly Detection with Large Language Models.

Vision Foundation Model Embedding-Based Semantic Anomaly Detection Semantic Anomaly Detection with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:22.654491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2b1cbd3a-6b7f-4b9a-9574-a63d2e76446b · inbound

NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving cites this paper.

NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving Vision Foundation Model Embedding-Based Semantic Anomaly Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:46:24.152658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8806caa0-dc7f-4c91-948b-e8b894a1cda0 · inbound

Real-World On-Vehicle Evaluation of Embedding-Based Anomaly Detection cites this paper.

Real-World On-Vehicle Evaluation of Embedding-Based Anomaly Detection Vision Foundation Model Embedding-Based Semantic Anomaly Detection

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:23:03.584766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.