Pith. sign in

Paper Citation Record · LEDGER

Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.17089.

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

pith.paper-citation-record.v1
2309.17089 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 2026-08-06T05:05:23.481216Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T06:16:20.379382Z

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 b8062873-b87b-4bca-86ae-29ac4a6b4138 · inbound

On Distributional Dependent Performance of Classical and Neural Routing Solvers cites this paper.

On Distributional Dependent Performance of Classical and Neural Routing Solvers Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:23.481216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:23.481216Z digest=sha256:c400b2b17d3be3652274444def52ef3f14000e0e14dc707f4f90193d472ca833

Observation 8d1fc078-e815-4b22-9f2a-772c29375a32 · inbound

Recurrent State Encoders for Efficient Neural Combinatorial Optimization cites this paper.

Recurrent State Encoders for Efficient Neural Combinatorial Optimization Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:42:52.851199Z

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=2026-08-05T05:42:52.211950Z digest=sha256:c44bcdee4ed40df4c3eecad49b417484f3e10a5404ebdf44cc77de01733cab0e