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Paper Citation Record · LEDGER

Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.11137.

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

pith.paper-citation-record.v1
2201.11137 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:10:03.866076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:39:40.977084Z

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 3a2e740d-1e4b-4627-8549-4ee282903796 · inbound

Machine Learning Gravity Compactifications on Negatively Curved Manifolds cites this paper.

Machine Learning Gravity Compactifications on Negatively Curved Manifolds Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T23:10:03.866076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:10:03.866076Z digest=sha256:5d49f506bd57958fe83a78d8d3093ac44b255b858d015f41b801b7acbdcb7a46

Observation f4d23ffa-d4f6-41be-935e-581b10c2a09e · inbound

The Optimiser Hidden in Plain Sight: Training with the Loss Landscape's Induced Metric cites this paper.

The Optimiser Hidden in Plain Sight: Training with the Loss Landscape's Induced Metric Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T10:55:59.130274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:55:59.130274Z digest=sha256:2afe8176fbd1a8914d2d8ff5eec82adeee41c66c175836c5459cf0da8f732847

Observation 8a93f89d-a38f-4600-ad26-c57d25da5e55 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:39:40.978999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:84a0ce72630845eb65d66139de6e7109def6f965417e843957f35309ef1eb5af

Observation a1ae22da-5d14-465f-b2aa-f5285be2530e · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:25.524456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:a30b100255c0d55de7e73fc82383eed8a9d1a4aab4ad140eef288f40b9faca9b

Observation 6e4f1bb4-6a19-40e0-934c-7eb7cc20f753 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization

Reference 18

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=sha256:09555ecec4387505e3661e34fa45c76f090f37314bfa4e814f20c90f47725372