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Paper Citation Record · LEDGER

The ALAMO approach to machine learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.10918.

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

pith.paper-citation-record.v1
1705.10918 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:32:08.643491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:52:49.107415Z

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 8c0d5548-b1bc-4eef-b42c-c44dda99d761 · inbound

SINDybrid: automatic generation of hybrid models for dynamic systems cites this paper.

SINDybrid: automatic generation of hybrid models for dynamic systems The ALAMO approach to machine learning

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:52:49.113909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:52:48.905117Z digest=sha256:84f10bd1b3c6653c6c18020ff20fc897401662d022ffe62091c60a38824d0804

Observation 0f653165-4aeb-4c9f-8a66-b643ed66a879 · inbound

Uncovering expert objectives in production planning via inverse optimization: An industrial case study cites this paper.

Uncovering expert objectives in production planning via inverse optimization: An industrial case study The ALAMO approach to machine learning

Reference 280

Resolution
unresolved
no resolver link, observed 2026-08-15T14:32:08.643491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:32:08.643491Z digest=sha256:28829ff61717e4df0c690d54457dadd82c9654e1a0b32fa189d53555af4b75ce