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Paper Citation Record · LEDGER

Are LLMs Any Good for High-Level Synthesis?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.10428.

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

pith.paper-citation-record.v1
2408.10428 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:29.921798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:41:31.530176Z

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 ae9fdb86-4331-42f8-99fb-356fd7bc9189 · inbound

C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap cites this paper.

C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap Are LLMs Any Good for High-Level Synthesis?

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:41:31.535490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T05:41:30.959493Z digest=sha256:0f2919139f52b4ef4c5a51f407e0eef3754c59e1e48055abd98a02e427fc82bc

Observation 20ee1fc6-e263-497f-8dda-8ab8e6fcf7d7 · inbound

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization cites this paper.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Are LLMs Any Good for High-Level Synthesis?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:29.921798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:29.921798Z digest=sha256:5d6ca3cadb260e0a2b7b4ba7499430f2e96f235acbb74a51ea51f5422fd9037f