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Paper Citation Record · LEDGER

Learning Lagrangian Multipliers for the Travelling Salesman Problem

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14836.

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

pith.paper-citation-record.v1
2312.14836 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:03.426135Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:00:13.990063Z

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 bdfd7c1b-0dc7-41e5-8c85-7cca35060f47 · inbound

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow cites this paper.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning Lagrangian Multipliers for the Travelling Salesman Problem

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:03.426135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:05:03.426135Z digest=sha256:f777f8e92400dc964940dac1633e7666e7fe040b4e3cd5bb0c13b7cdb392e56c

Observation bb23ed84-eab3-4e8b-aaaa-d23fb2401ebe · inbound

Cutting Slack: Quantum Optimization with Slack-Free Methods for Combinatorial Benchmarks cites this paper.

Cutting Slack: Quantum Optimization with Slack-Free Methods for Combinatorial Benchmarks Learning Lagrangian Multipliers for the Travelling Salesman Problem

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:00:14.029541Z

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=2026-08-06T17:00:12.765704Z digest=sha256:d722a7c73d62ceecb005b697dd3527f08cff2b551e3ebaebf39f2119ad43a448