Paper Citation Record · LEDGER

AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.18627.

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

pith.paper-citation-record.v1
2406.18627 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:22.937013Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:35:55.935769Z

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 0f195651-f9cd-40ad-8fc1-8022bbd9d75a · inbound

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models cites this paper.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T22:55:09.388266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e45d05f-405c-4b11-b5b4-0927779ce0b3 · inbound

Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVA cites this paper.

Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVA AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:22.937013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4157b4db-5035-4cb8-a4de-e2ee3e98facf · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.937307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cf2915d-e868-4511-9288-b0d8d8e336cf · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T18:43:44.175570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.