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Paper Citation Record · LEDGER

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.09310.

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

pith.paper-citation-record.v1
2411.09310 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:51:59.972619Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5824ab88-60c9-457a-a420-eb0045bde19f · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:52:03.425470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.916956Z digest=sha256:a0752a32c942dc98689a8544471cc90ae4d2fc49e3bfc08a5a586c4ce7fbbc84

Observation 476c5f10-9a9d-439a-ad6a-90f9be015d23 · outbound

This paper cites Segato, A.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Segato, A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:52:03.415292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.920636Z digest=sha256:0dec8f16f0cc52dd67eb0ddff92ead790efeaed0b72ec9e8b4a2390686d2b45f

Observation 7bce0023-51d6-4175-9cc8-09182afa12d2 · outbound

This paper cites Radford, J.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Radford, J

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.923727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.923727Z digest=sha256:6a3b4ed1a50f03d89e995bb5b246aff364d8ccb78be69bffd43e6f4f6d398787

Observation 5e0f8b07-0c0c-4102-8d61-2214dfdce57a · outbound

This paper cites CLIP in Medical Imaging: A Survey.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? CLIP in Medical Imaging: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.927301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.927301Z digest=sha256:046d105fe67f41447a15ac65374ce7882f6a0867eed87856f4b7970090fd4d7c

Observation 1f45b474-bcc9-4824-9694-86f8b3dbdb21 · outbound

This paper cites The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.930667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.930667Z digest=sha256:6a5cd94d4d9631cf9e015808cd917b46c49dcc0084be5aee7def5a23f5a99581

Observation fcf7f0c2-e70f-4d1c-a76d-2b48c9a3fd43 · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.934225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.934225Z digest=sha256:1b8114cd29c0fa0bff0ce7cb9c8afd5ae435379dffabca4520c08d8997763566

Observation 23bd0412-b700-4983-b79b-3374611bcc92 · outbound

This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.937453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.937453Z digest=sha256:41e2d69aacb36eacec14bb9ede376515b20fbaf889f9f050f1e82d537316d6ca

Observation 65eaf7e3-3704-4352-89bd-16910a015413 · outbound

This paper cites Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.941107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.941107Z digest=sha256:a21f7e2e779bcc9f7f85432f0805dec3e4877e33ff55da11c7a693f1cf93e8b0

Observation 99bf8b67-55a8-418b-8b37-bac8131f14e5 · outbound

This paper cites AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.944969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.944969Z digest=sha256:a613fa39f85a82d461ead96dfb406ecc1a0b20c517cd9109252c4879f9ae3a8f

Observation 7bc16e7e-d846-4d21-9ff9-e763a8e6a8c9 · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:52:03.398074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.949001Z digest=sha256:65d8cbeec97e97153a025cb699d89ac659f867f85cce09532719e63566f6fe43

Observation 0db2ef9f-7144-4901-82fa-ca71d3455b27 · outbound

This paper cites WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.952143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.952143Z digest=sha256:8b0f5ff2076b66b7912c470720cbbdd906ccd7bdbabc60352cec68ae94e41825

Observation 956ad282-ca15-448e-8133-60d1211c8758 · outbound

This paper cites Davis, M.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Davis, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:52:03.387668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.955972Z digest=sha256:0ffc19932c6f684251e03166424d46881272f27782ae46791cc9e1c5c1c7ca5b

Observation b7e35740-994f-4118-8a9d-c47ffe013794 · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:52:03.377052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.959081Z digest=sha256:7da96a169e0725c08bf61b972a965594563b468b44bcf83f7e8d6cacddbb1b6d

Observation 3302f5e5-8c48-4c36-afd0-9c69a48ee5e7 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.962705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.962705Z digest=sha256:a3409b9c7c3394309912ed4ce9ebfea864c15e497907d181f2c9109403c91192

Observation 068bbe2c-9254-4db6-b0c6-b25862aac1cc · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:52:03.366987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.966127Z digest=sha256:b57e73955f5f404fdb17e62e4ab9315d736d22c2e973df434ec1ec960e1f95c2

Observation d70b09dc-3367-4dd0-a98f-7758bc102848 · outbound

This paper cites MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T20:51:59.969224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:51:59.969224Z digest=sha256:7bf42908cef9780a6b3a2428abc6c3034b07d5802c20abc4a5026328fa8a6302

Observation eb952c09-b53e-4841-b4d0-581821669dfc · outbound

This paper cites Huang, A.

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? Huang, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:52:03.356034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T20:51:59.972619Z digest=sha256:770e757e40e304f1c62bccecf51f94284a97a6352080f12d188877b85f8f16a7

Pith citing papers

No inbound Pith citation observations are available.