Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SEAM: A Stochastic Benchmark for Multi-Document Tasks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.16086.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:06.720297Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:10:22.998798Z
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 d860a126-1498-4a96-b73a-f519947c2919 · inbound
MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance cites this paper.
MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance SEAM: A Stochastic Benchmark for Multi-Document Tasks
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:14:06.720297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 717c806a-2536-4e8b-a504-769dc2b345a1 · inbound
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization cites this paper.
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization SEAM: A Stochastic Benchmark for Multi-Document Tasks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:37:55.020402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c2be5e5-9947-4027-adfe-92980315949c · inbound
MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications cites this paper.
MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications SEAM: A Stochastic Benchmark for Multi-Document Tasks
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:10:23.000184Z
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.