Paper Citation Record · LEDGER

Neural ODEs for holographic transport models without translation symmetry

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.09946.

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

pith.paper-citation-record.v1
2401.09946 v3

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:29.646410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:15:10.744216Z

Reference resolution

0 of 0 outbound references displayed

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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 c9a59698-89e6-42ec-9bb5-a21173561726 · inbound

Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments cites this paper.

Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments Neural ODEs for holographic transport models without translation symmetry

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:29.646410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d2ba2a-d4ce-41ee-98f5-98982383287a · inbound

Discover physical concepts and equations with machine learning cites this paper.

Discover physical concepts and equations with machine learning Neural ODEs for holographic transport models without translation symmetry

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T17:53:25.112594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22ec640-2ca1-4ade-86cf-7b57dae5f634 · inbound

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model cites this paper.

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model Neural ODEs for holographic transport models without translation symmetry

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T08:12:17.869924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a49d4c-f326-45dc-b56b-e69f8cb50de2 · 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 Neural ODEs for holographic transport models without translation symmetry

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:15:10.746545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.