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Paper Citation Record · LEDGER

ALCUNA: Large Language Models Meet New Knowledge

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.14820.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.14820 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:24:21.780350Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-11T10:24:21.780350Z digest=sha256:5dc5cf41e8d64ec2081eb134f7f53c2caba391fada544198a90fdeb8b9a9552b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T21:45:02.174033Z digest=sha256:d30ee42adedb7cd41d96fb6159d35ae6cde1d2cdf7c2da2cec56fe50a790cb56