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Paper Citation Record · LEDGER

Quadratic models for understanding catapult dynamics of neural networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.11787.

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

pith.paper-citation-record.v1
2205.11787 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:58:27.100942Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:06:27.116089Z

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 31cb38e9-0646-4d01-a54a-715e3bad237f · inbound

Parameter Symmetry Potentially Unifies Deep Learning Theory cites this paper.

Parameter Symmetry Potentially Unifies Deep Learning Theory Quadratic models for understanding catapult dynamics of neural networks

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-08T19:58:27.100942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:58:27.100942Z digest=sha256:2504a0498b014293385c4c2e694cfa3d2362191369e688bb566ade82919b64fc

Observation d55a0a83-145c-46e7-8fba-063698522ef5 · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Quadratic models for understanding catapult dynamics of neural networks

Reference 254

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:06:27.121217Z

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=arxiv_source observed=2026-08-04T21:06:27.076750Z digest=sha256:8d1cb1208f95e37a072b7ba3053adc7360de11f2a2c6fcb8d94cb04e29b17f46