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Paper Citation Record · LEDGER

Deep Learning and AdS/CFT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1802.08313.

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

pith.paper-citation-record.v1
1802.08313 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:15:54.746539Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:15:10.805808Z

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 6cf47e89-9003-4ddb-abdb-0a851394ce76 · inbound

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Deep Learning and AdS/CFT

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-10T21:15:54.746539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:54.746539Z digest=sha256:590e3cea28fa234408d1570a0494453c61f33b08d18df6ac165934d0d7285683

Observation 7d07346a-043a-4e95-94da-376ea11b6882 · inbound

Bulk-boundary decomposition of neural networks cites this paper.

Bulk-boundary decomposition of neural networks Deep Learning and AdS/CFT

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T00:22:01.180069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:22:01.180069Z digest=sha256:9646dab2788575a2c96c29bac35e2894a4804be7f9f92f75c5127de1188033d8

Observation 88bfdc46-d077-43d4-a448-b66398f8a20e · inbound

Probing bulk geometry via pole skipping: from static to rotating spacetimes cites this paper.

Probing bulk geometry via pole skipping: from static to rotating spacetimes Deep Learning and AdS/CFT

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:02:53.106571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:12:50.614044Z digest=sha256:7d75416bc9f2e5ba43481343b07c9e83bea5e120fb10fc748525311d676f64b3

Observation 083ac116-a329-47f9-8987-4ca8a4c51427 · inbound

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology cites this paper.

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology Deep Learning and AdS/CFT

Reference 96

Resolution
unresolved
no resolver link, observed 2026-07-12T06:32:21.419737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:32:21.419737Z digest=sha256:094254638ebc606419ae2d41d6a618ffcf36da35bf57cff956514bde7135d2e1

Observation dc263661-42e9-4ef7-a05d-3101845c007c · inbound

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology cites this paper.

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology Deep Learning and AdS/CFT

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-02T09:02:09.180656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:02:09.180656Z digest=sha256:af5fcf751eeb8d8ce4359c823632ccc676f019fbac945eda03fa6cff7b94a696

Observation 4fd995a1-421c-469b-b548-51bf5e6a8bd1 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Deep Learning and AdS/CFT

Reference 97

Resolution
unresolved
no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:14:03.658427Z digest=sha256:41c3b25dd865698f45eac0de2e9fbf77ee0b498c666a3844bff12eddce922cfc