Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09184.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:45.060162Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T18:44:49.789128Z
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 31af8e20-4417-4f4a-b150-161f0a7280d9 · inbound
Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.
Lessons from the Trenches on Reproducible Evaluation of Language Models Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T18:44:49.791162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9a2141ba-3724-4c42-a933-4437375ea966 · inbound
LCTG Bench: LLM Controlled Text Generation Benchmark cites this paper.
LCTG Bench: LLM Controlled Text Generation Benchmark Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:45.060162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.