Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.13091.
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 2026-08-06T18:20:45.280630Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:05:50.412658Z
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 bced2d0e-eae9-47cf-b325-2123d8b20419 · inbound
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate cites this paper.
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:03:18.846385Z
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.
Observation bc7184f1-6fa9-4d17-bd54-9686c59ee9a2 · inbound
Instruction-Following Evaluation for Large Language Models cites this paper.
Instruction-Following Evaluation for Large Language Models Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:36:00.902353Z
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.
Observation 1679e012-7deb-4c66-ab35-cb898c272f87 · inbound
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models cites this paper.
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:01:57.803476Z
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.
Observation 1b0d29de-a677-4d6c-a8f0-18697422ffe8 · inbound
AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters cites this paper.
AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:20:45.280630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a196736-59e8-40db-ab5a-408f9f8b9435 · inbound
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs cites this paper.
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Reference 250
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T17:05:50.414154Z
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.