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Paper Citation Record · LEDGER

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.01029.

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

pith.paper-citation-record.v1
2405.01029 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:59:08.524821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:13.674271Z

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 a7bb880b-393c-4ee6-a3b5-19ffcf790f1d · inbound

Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers cites this paper.

Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T20:59:08.524821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:59:08.524821Z digest=sha256:12925e1644bc13adb86485bcecb6843bd9f0651b845a9fb1619a38c027703e78

Observation 179951b3-becc-40c1-8f31-8631b8b33e67 · inbound

Multi-Agent Environments for Vehicle Routing Problems cites this paper.

Multi-Agent Environments for Vehicle Routing Problems MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:15:43.705603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-23T17:14:04.287133Z digest=sha256:fe966c9783edc5bda5eef81020978761fd1161fb75593cdfe84b224c1c35ec80

Observation 222fd78c-4f84-4ddb-8eb2-f72718de8255 · inbound

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems cites this paper.

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:03.587582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:03.587582Z digest=sha256:909989ae8e5bb98b4ab1c36a83380f07f0624ad514a69a14d1380c3c724cee73

Observation aaf831d2-3826-469d-9a4a-b256449877c0 · inbound

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem cites this paper.

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:15:48.727440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T19:15:34.459877Z digest=sha256:fa6cd573f6ce3e968ca65ddca37ad882523cba53ef092e2f0e1e2792ec98686b

Observation 25e91b3b-5a86-407a-bf50-9b20fa89129c · inbound

Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts cites this paper.

Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:06:13.675780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T17:29:44.881435Z digest=sha256:463862c8fcbc803333b8525918be9436408f4cc12aa125349eabed3e284cebc1