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Paper Citation Record · LEDGER

Searching for New Physics with Deep Autoencoders

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1808.08992.

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

pith.paper-citation-record.v1
1808.08992 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:19:24.349222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:15:51.626988Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 003e89e4-12b4-466e-ada0-4c5a8c3a232f · inbound

Enhancing anomaly detection with topology-aware autoencoders cites this paper.

Enhancing anomaly detection with topology-aware autoencoders Searching for New Physics with Deep Autoencoders

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:24.349222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:24.349222Z digest=sha256:3d6bd125eb6138ff60f7f06134e2a37dee03ffb64f0bb66ea4c4af03a908dab1

Observation 988294cc-eead-424d-ada0-18f40872158e · inbound

Theory-informed neural networks for particle physics cites this paper.

Theory-informed neural networks for particle physics Searching for New Physics with Deep Autoencoders

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:12.833137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:12.833137Z digest=sha256:2b3d359238434bfeb288587a97a56b7b47fb97c60e74af70ae5c9021796fbf5a

Observation 87237acc-e8e5-441b-b410-bcc35c497ed7 · inbound

AI-powered full-data set search for new physics in ultraperipheral and diffractive events cites this paper.

AI-powered full-data set search for new physics in ultraperipheral and diffractive events Searching for New Physics with Deep Autoencoders

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:06:30.144245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:06:30.144245Z digest=sha256:34b8391357be875442ad2c87586afd8c7eb56a30010c8366b89131dcce6a874b

Observation 6055653d-73da-4cdc-8dad-9fb176367b3c · inbound

Wasserstein normalized autoencoder for anomaly detection cites this paper.

Wasserstein normalized autoencoder for anomaly detection Searching for New Physics with Deep Autoencoders

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T12:47:51.358946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:47:51.358946Z digest=sha256:55b098b6705e6cb8daafa4a0d7dc7fe5972399648f32e50bf6cc96fa7726e9db

Observation 12ac093d-5770-461b-b9ce-6178c3acc3e7 · inbound

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach cites this paper.

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach Searching for New Physics with Deep Autoencoders

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:51.630589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:38:36.907681Z digest=sha256:fd4b48438cafe4e65c145c4c7e04eda23308016bdbc05775d6b5ed6c6d7597d5

Observation 33ae7536-3d01-43e2-9ba3-7b7801d32943 · inbound

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning cites this paper.

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning Searching for New Physics with Deep Autoencoders

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T12:51:45.669029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:51:45.669029Z digest=sha256:589bddae53472def86ee7b31935f039f6a8a610f6d76f34af75bd0208b26f9b4