Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ALCUNA: Large Language Models Meet New Knowledge
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.14820.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:53:38.951953Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:45:02.258572Z
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 9205b45c-32ee-4540-b1bf-0532877ac26e · inbound
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? ALCUNA: Large Language Models Meet New Knowledge
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:53:38.951953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b154b17c-b9f0-4fdd-a1c6-70cfb161c492 · inbound
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks cites this paper.
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks ALCUNA: Large Language Models Meet New Knowledge
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:24:21.780350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfd065d6-b13c-4793-8dbe-5967b7222084 · inbound
AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data cites this paper.
AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data ALCUNA: Large Language Models Meet New Knowledge
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:45:02.341402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.