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Paper Citation Record · LEDGER

Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.01997.

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

pith.paper-citation-record.v1
2405.01997 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:34.673466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:59:32.548779Z

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 dba18f8b-5585-4920-9f28-9ececfd58dc2 · inbound

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention cites this paper.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.673466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.673466Z digest=sha256:f7d640539280d78737a50d687c0fa3e05051155054c6aaf7fb09660923107e12

Observation 917a5e99-014d-4b9a-b2a1-45df19acd836 · inbound

MARIC: Multi-Agent Reasoning for Image Classification cites this paper.

MARIC: Multi-Agent Reasoning for Image Classification Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T16:14:54.916846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:14:54.916846Z digest=sha256:a10d1adb421bb6e69c4d825582528d6a3a73c00f0a5af5b0f870cc029cc939b8

Observation ddb7deaf-c1e6-4d57-bff8-fc52185b7e1b · inbound

Budget-Efficient Automatic Algorithm Design via Code Graph cites this paper.

Budget-Efficient Automatic Algorithm Design via Code Graph Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:56:32.251863Z

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=2026-05-12T03:46:09.715264Z digest=sha256:ccff3de77623f7bcfae0e831dab1f78651f0fd4c47c3c04bce91f869e7121725

Observation 6075abfa-94f8-4f78-9200-c9b718fff956 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.550205Z

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=2026-05-21T03:56:29.983335Z digest=sha256:edf563304d4863a74b799b19b819debd09702d43ee42bc5878a32b8e7b4bc5be