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Paper Citation Record · LEDGER

Block-diagonal Hessian-free Optimization for Training Neural Networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.07296.

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

pith.paper-citation-record.v1
1712.07296 v1

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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:31:05.703639Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:56:06.768972Z

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 b6ff9d6a-c44d-496f-80fd-7ddb175e5aec · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation Block-diagonal Hessian-free Optimization for Training Neural Networks

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-04T13:31:05.703639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:31:05.703639Z digest=sha256:f6186f58ef9889b85a3a7657b818f18d4206de9cfd9de68a0eaae17128d14801

Observation 9076e9fd-5905-4687-bcea-19e5658be26d · inbound

Importance-Guided Basis Selection for Low-Rank Decomposition of Large Language Models cites this paper.

Importance-Guided Basis Selection for Low-Rank Decomposition of Large Language Models Block-diagonal Hessian-free Optimization for Training Neural Networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:25:49.295330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T14:30:07.619159Z digest=sha256:c9bb4f60bfcddf039465650ece625e02dba39220b4c19b42a5ca8524c1ae30fc