Paper Citation Record · LEDGER

SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.16072.

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

pith.paper-citation-record.v1
2405.16072 v4

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:50:29.833591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:49.807564Z

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 32838db4-89fc-44d5-a738-2bdf99f2f5bb · inbound

Revolution or Hype? Seeking the Limits of Large Models in Hardware Design cites this paper.

Revolution or Hype? Seeking the Limits of Large Models in Hardware Design SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T05:50:29.833591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57506864-3cf5-492a-8fed-d87ffd0599b1 · inbound

HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning cites this paper.

HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:32:57.093055Z

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.

Observation 135f4c58-3499-4ee4-9a7d-954ff7746bc7 · inbound

Shift-Left High-Level Synthesis Verification via Knowledge-Augmented LLM Agent cites this paper.

Shift-Left High-Level Synthesis Verification via Knowledge-Augmented LLM Agent SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T18:28:49.809188Z

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.

Observation 8cbe40d6-3de1-4749-a2b0-15114442ead5 · inbound

Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification cites this paper.

Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T03:24:12.839928Z

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.