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Paper Citation Record · LEDGER

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.05266.

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

pith.paper-citation-record.v1
2403.05266 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:33:21.782301Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:16:16.768632Z

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 18703650-acc9-4f0d-9a8f-3a6ccad8fd0e · inbound

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking cites this paper.

ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:33:23.731303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:33:21.782301Z digest=sha256:1992d2997ccfadad7f5f3cb8f12e1213d998a7d457eb8111a6bc60afead69457

Observation 14a96be2-2df9-4db1-95d5-0b386e248d02 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:36.293010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:36.293010Z digest=sha256:91e92ab7d104b272b561192add07aeb57eda88f03d4d3b03832f1fffb2b3d711