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Paper Citation Record · LEDGER

Deep Anomaly Detection Using Geometric Transformations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1805.10917.

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

pith.paper-citation-record.v1
1805.10917 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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:16:59.412926Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T07:24:21.006385Z

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 0219f4d6-170b-42e9-bcf8-7bb7694f2bc8 · inbound

Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques cites this paper.

Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques Deep Anomaly Detection Using Geometric Transformations

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T10:16:59.412926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:16:59.412926Z digest=sha256:357ffcffb41288a27a9d9a4a4fd823174c415cc32644f91dbc5011aae482ef91

Observation 60d93420-1ec5-4296-a10a-578dc5688c98 · inbound

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection cites this paper.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Deep Anomaly Detection Using Geometric Transformations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:17.604919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.604919Z digest=sha256:f1780da4f04d181d0ebb3024e23cca5bd203d4f3c98a13e15e836aa39a156875

Observation 8b719a9c-631c-4341-b8d0-2d22520b4324 · inbound

VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space cites this paper.

VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space Deep Anomaly Detection Using Geometric Transformations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T08:17:25.334901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:17:25.334901Z digest=sha256:952d7382e9666668b04c2ad3f40976a605ac065d4e09a84e7d63a9150362b5c8

Observation 869b2261-632f-4e17-ac90-e72dd7153b9e · inbound

What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics cites this paper.

What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics Deep Anomaly Detection Using Geometric Transformations

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:24:21.007693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T07:22:51.802751Z digest=sha256:f5884ee60a60a6115a96a2f0dfcb1ad0bb424e0eef9747211d6952f411c99cb7