Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.15299.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:27:44.848333Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:47:38.488035Z
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 77b90e99-0456-4fcc-90b5-6f7786c7ba71 · inbound
SynDelay: A Synthetic Dataset for Delivery Delay Prediction cites this paper.
SynDelay: A Synthetic Dataset for Delivery Delay Prediction SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:27:44.848333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c6ee0c3-5be1-4d81-90ee-b05dc450a317 · inbound
From Topology to Trajectory: LLM-Driven World Models For Supply Chain Resilience cites this paper.
From Topology to Trajectory: LLM-Driven World Models For Supply Chain Resilience SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:31:04.742304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c75775e0-d71c-4012-8ac7-e56f46f7d508 · inbound
ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience cites this paper.
ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:47:38.489581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9b885b04-3748-456b-b369-8373897e8fb5 · inbound
On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions cites this paper.
On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:03:54.361207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551ff767-50a5-49c1-b717-6bb9127f0dd7 · inbound
SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination cites this paper.
SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T05:47:46.103463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.