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Paper Citation Record · LEDGER

Explicit and data-Efficient Encoding via Gradient Flow

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.00864.

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

pith.paper-citation-record.v1
2412.00864 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:19:41.055274Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:19:41.219470Z

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 25bd9144-19b3-43c6-b2b2-5285be0d50a0 · inbound

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI cites this paper.

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI Explicit and data-Efficient Encoding via Gradient Flow

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:19:41.226252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:19:41.055274Z digest=sha256:c1e5d528628c50025684b959fec37f7daddc244235a5e94dbe9a48e6cbdeb1d9

Observation 55cb1720-8def-4e0f-bfcd-27ba3800134d · inbound

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization cites this paper.

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization Explicit and data-Efficient Encoding via Gradient Flow

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T23:34:44.325564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:34:44.325564Z digest=sha256:4dec96493afc79334f2c20a27a73cba13586d18ffe90f8f1ef1036c3fc491cec