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Paper Citation Record · LEDGER

Less is More: Efficient Weight Farcasting with 1-Layer Neural Network

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2505.02714.

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

pith.paper-citation-record.v1
2505.02714 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:32.006857Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:05:33.485363Z

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 76206885-e11a-4df8-b3e0-f21e22f0595a · inbound

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training cites this paper.

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training Less is More: Efficient Weight Farcasting with 1-Layer Neural Network

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:05:33.592851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:05:32.006857Z digest=sha256:92f158a47ccce3b8f1cf66055ca7b52b3f371a50158cec587d4e0880a0320f2d