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Paper Citation Record · LEDGER

Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.07995.

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

pith.paper-citation-record.v1
2505.07995 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:21.361536Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:49:38.661163Z

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 3dd9905c-b25c-49dc-84da-6f4a7e0b705f · inbound

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

Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVA Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:18:21.361536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:18:21.361536Z digest=sha256:2fda99963b6e1fd15e78f6deddeabb52cd29ca0e7860a823f111b43e87b0a1c7

Observation b6b3cae5-83fb-4ab3-bc9c-6ed281f501d0 · inbound

AssertCoder: LLM-Based Assertion Generation via Multimodal Specification Extraction cites this paper.

AssertCoder: LLM-Based Assertion Generation via Multimodal Specification Extraction Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:37:24.915297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:37:24.915297Z digest=sha256:df7a939e1eb5444fd622bace5f43a31e3bff93b11964e9663f4a07e26d6e689b

Observation 293a40f4-46f4-4ec4-8a5d-00fe4db0cc61 · inbound

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations cites this paper.

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:05:50.977267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:41:42.906023Z digest=sha256:9d789bd68d7418be3e760a222ff5be8203d180b59a75299ae17891ca79c8db8e

Observation e65c3f82-422b-4ec1-8b69-69a21e18260a · inbound

From Indiscriminate to Targeted: Efficient RTL Verification via Functionally Key Signal-Driven LLM Assertion Generation cites this paper.

From Indiscriminate to Targeted: Efficient RTL Verification via Functionally Key Signal-Driven LLM Assertion Generation Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:46:49.997830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:26:47.139265Z digest=sha256:710c864fb508a0d6068ca3302d7bdae519fef723580288add4159edbad6b7929

Observation 5230f276-552c-4417-8650-b73110402048 · inbound

Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring cites this paper.

Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:51:29.516209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:52:06.251523Z digest=sha256:450feb43a7c4daf81c917ab6ca22cee11c298a29ca7ca4ecfb3dcd8ae46e5360

Observation eb70dec3-e5a9-4f88-b2ae-88ab113a662b · inbound

AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications cites this paper.

AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:25:49.894797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T16:15:54.347613Z digest=sha256:3ed78ad34bdce89186b8828244116680399b3ddeeff8f53851f00dae863b9bc1

Observation 102c852a-6c1b-4659-a669-df2b0004d87b · inbound

Closing the Loop on LLM-Generated RTL Assertions with Quality-Aware Formal Verification cites this paper.

Closing the Loop on LLM-Generated RTL Assertions with Quality-Aware Formal Verification Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:49:38.662768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T12:52:27.936359Z digest=sha256:9c86781d9831274fb69091200833ef4f19281ad82e9afb430cfe5172a41661a1

Observation 8a987385-b8a0-467e-856e-29ac687c7826 · inbound

GoGoTB: Agentic RTL Verification with Specification-Grounded Coverage Closure cites this paper.

GoGoTB: Agentic RTL Verification with Specification-Grounded Coverage Closure Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T00:37:11.496655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:37:11.496655Z digest=sha256:145d2a6a66c560c706162a3f63370805eec77553fc2bb91e11dd3f749d1d892d