Paper Citation Record · LEDGER

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.25956.

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

pith.paper-citation-record.v1
2607.25956 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:03:24.382077Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b008bef-655e-4287-85fe-fe98c7e4b9b0 · outbound

This paper cites PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.265127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7529ca1b-c7cb-427a-8528-52c30607bae0 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.269231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b2089a-688c-4566-bed8-d5962dcc4a1b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.274130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1b2172-ee05-4f7d-bbae-c013a0c80fc4 · outbound

This paper cites Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.277058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c22289-3792-4079-abc8-a8df10835959 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.280041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f77c6a2-2649-46a3-8aba-dba26b02f7bb · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.283194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b440c0-33d8-4fe9-a257-c3b9b8587f66 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.286116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cb1c09-d06a-4156-bbc6-6ff6ab6cb1f5 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.288829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7c0874-7005-48a0-a40c-0a17a9511618 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.291319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35217f7-c9eb-45f5-bbca-4205401c9d03 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Proximal Policy Optimization Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.293841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b25fdb4-8d7f-4071-b89d-6b35b288cbbd · outbound

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

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.369209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321e2e71-787e-4fc7-832b-d5a32ff72ec4 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.371958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 857186f9-b4e6-48e2-9f20-3de1ec007fa0 · outbound

This paper cites Solver-Verified Formulation Generation and Selection for Multi-Warehouse Inventory Allocation Using Large Language Models.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Solver-Verified Formulation Generation and Selection for Multi-Warehouse Inventory Allocation Using Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.374658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eede3fb0-5548-40ba-9cf1-429502f370dd · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.377385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a74472-b63c-42bc-a7c1-d3f19e9a4431 · outbound

This paper cites an unresolved cited work.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.379607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d94cfa5a-10d9-4a6e-9850-db91ea62abc6 · outbound

This paper cites Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.382077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.