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Paper Citation Record · LEDGER

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.11493.

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

pith.paper-citation-record.v1
2402.11493 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:31:17.738170Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-04T23:34:32.353871Z

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 c7eef821-329f-470b-81e7-932c3f3c5410 · inbound

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models cites this paper.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.738170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.738170Z digest=sha256:7cec4cba01350436d3301e178b1e0dc1d5defd8564f375229a023c537c3fd55e

Observation 30222594-8da4-4c99-bff5-a8c74e2ba688 · inbound

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking cites this paper.

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:34:32.358622Z

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.

source=pdf_text observed=2026-08-04T23:34:29.219355Z digest=sha256:b770de177d95110043534e1a01accd320ec7840a96e05b36f6cbbda1abe94441