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Paper Citation Record · LEDGER

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem

As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2604.06940.

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

pith.paper-citation-record.v1
2604.06940 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:59:33.189911Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact5
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28f22458-ff84-427c-a58c-e69ae749a38c · outbound

This paper cites Neural large neighborhood search for the capacitated vehicle routing problem.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem Neural large neighborhood search for the capacitated vehicle routing problem

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:49:15.791502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:a8e7fd61b234768af3ae2d92118e4b75dc3339923b26381b9b7499ac882f8b52

Observation e1931d87-0908-4934-9720-7de3606f31de · outbound

This paper cites Efficient Active Search for Combinatorial Optimization Problems.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem Efficient Active Search for Combinatorial Optimization Problems

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:01.255088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:6ce1e33c3b8b615e3a40375e36c1ed3b8bd74112fbd678c2643176ddf63bb693

Observation 65207f85-dc04-4465-86ba-007d00ea5670 · outbound

This paper cites EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:01.223064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:4c3842fc9a0bf9c1475a2403ac868476f6aa809ab573ae8ca6e3def0ad711b82

Observation 81689056-16b9-4e7c-91b9-9eed518c6263 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem Proximal Policy Optimization Algorithms

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:41:01.236425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:1cef2f5d6d90dedd58134e2a00b7707c1da432d633fa2e2cad0e17ef2bc4ad1f

Observation c5dec509-8ada-43a7-8521-ecff861cc237 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:41:01.260575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:4f77fdf859c58f93b6f48a829378fd71613e88445c4bc618ff08c09a71ca4538

Observation 49381f5f-2c3f-4412-a9f0-3e0d9aa2ec5c · outbound

This paper cites The sine terms correspond to the signed 2D cross product and therefore disambiguate left vs.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem The sine terms correspond to the signed 2D cross product and therefore disambiguate left vs

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T07:49:15.787989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:a1eed16f2f5caa5a3f4737e50e07c5cac666d4c24f15ecb6a0e087b680158a6d

Observation 69dff488-9f68-4f9d-9974-19d0f96cad48 · outbound

This paper cites It combines a factorized move parameterization with a recurrent dual-stream decoder, and further introduces guided exploration of both feasible and infeasible intermediate states.

A First Guess is Rarely the Final Answer: Learning to Search in the Traveling Salesperson Problem It combines a factorized move parameterization with a recurrent dual-stream decoder, and further introduces guided exploration of both feasible and infeasible intermediate states

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:01.246235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:59:33.189911Z digest=sha256:928a94de7a19a9101104cd8cc39c993f01b8a847946e4560c6db4daa0474c196

Pith citing papers

No inbound Pith citation observations are available.