Pith. sign in

Paper Citation Record · LEDGER

Efficient Training of Multi-task Neural Solver for Combinatorial Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.06361.

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

pith.paper-citation-record.v1
2305.06361 v5

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:12.734919Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:20:47.957783Z

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 e1ac4edb-4ad7-478d-bd7c-6566308a62b6 · inbound

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy cites this paper.

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy Efficient Training of Multi-task Neural Solver for Combinatorial Optimization

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:12.734919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:12.734919Z digest=sha256:20827394100d4344705ebec2c7cda3baeedbb84af8fa71bf64a8a4f1234ec872

Observation 02f62262-5b18-434c-8cb1-083e7c0da726 · inbound

LRM-1B: Towards Large Routing Model cites this paper.

LRM-1B: Towards Large Routing Model Efficient Training of Multi-task Neural Solver for Combinatorial Optimization

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:20:48.039138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:20:46.180272Z digest=sha256:86a69013aa8c8cc339d2c02d88551cc2c89397ef2ef51013a4bb16d33c3ee3b4