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Paper Citation Record · LEDGER

Optimizing Millions of Hyperparameters by Implicit Differentiation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.02590.

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

pith.paper-citation-record.v1
1911.02590 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:33:52.282275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:59:25.815548Z

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 5b8c3ab1-ee23-4537-86aa-73cb9e83704b · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Optimizing Millions of Hyperparameters by Implicit Differentiation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:52.282275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:33:52.282275Z digest=sha256:a3d472f17a48bd1e52d5420d87835bf344b5741e4a275ca19a7828eb1f222645

Observation 49f2052f-1cc3-46dd-b34a-224b76b1fcac · inbound

Fusion Sampling Validation in Data Partitioning for Machine Learning cites this paper.

Fusion Sampling Validation in Data Partitioning for Machine Learning Optimizing Millions of Hyperparameters by Implicit Differentiation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:43.273021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:43.273021Z digest=sha256:a39a9049f2625dd4ace7caf09e91fd4c32838f0b60bf54f184e7b624c7e1cdd0

Observation 13a57de3-0001-42ef-bf5e-edae280c6355 · inbound

CHAL: Council of Hierarchical Agentic Language cites this paper.

CHAL: Council of Hierarchical Agentic Language Optimizing Millions of Hyperparameters by Implicit Differentiation

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:59:25.818682Z

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=2026-05-14T19:59:13.378797Z digest=sha256:fd62865ef90dc88b6d0e0ba9944e70c7ba388b0a4c14ee1590bd480c59537235