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Paper Citation Record · LEDGER

RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.08617.

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

pith.paper-citation-record.v1
2312.08617 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:34:04.396377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.353732Z

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 267bfea6-d13c-41b0-bed5-3bfdef747ef2 · inbound

QiMeng: Fully Automated Hardware and Software Design for Processor Chip cites this paper.

QiMeng: Fully Automated Hardware and Software Design for Processor Chip RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:04.396377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:04.396377Z digest=sha256:47ae281e2a15a47b2e4fe5e44646323b0e41fadaf2c20fcc7e2178a2dd447f68

Observation ed1710f7-c9ff-4636-8fab-3ddaa7089255 · inbound

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs cites this paper.

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:34.431027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:51:34.431027Z digest=sha256:bd64e6b6bbffc0e489c5e4224f8b0ce90d2a1e86458f98842e183e5e3ef5f817

Observation 84c0b0b9-c2a6-4899-9341-9ccb86a0d787 · inbound

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs cites this paper.

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:19:52.253221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:52.253221Z digest=sha256:c7fff4cea40b47d4d10036ed06b1057117b3c44454f230984a3012fe6525f08e

Observation 0fe74f83-553e-4f91-a8cb-5a962da28f51 · inbound

SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits cites this paper.

SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:39.439485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:39.439485Z digest=sha256:837bf8c48d2e00bb34d03f76494da42a6335a0ee07d4943644b6e958da26fd20

Observation 96b644a8-e289-44c1-8858-c40690391dc6 · inbound

MACO: A Multi-Agent LLM Framework for Automated CGRA Hardware/Software Co-Design cites this paper.

MACO: A Multi-Agent LLM Framework for Automated CGRA Hardware/Software Co-Design RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T16:31:32.458167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:31:32.458167Z digest=sha256:1216fe49773b33fa778d6556933534e098f36c4f8ff807c1626ded631574b56c

Observation 0b0a7f71-b9d6-48b5-a3cc-0707e679fa7f · inbound

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration cites this paper.

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:08.347789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T01:24:08.563327Z digest=sha256:ca8285285138142a86c06e5943466634ad9844f3e18eb357ad81ab55dc5c0873

Observation c65e14eb-20fb-4c0f-be4f-0237e24b7389 · inbound

RefEvo: Agentic Design with Co-Evolutionary Verification for Agile Reference Model Generation cites this paper.

RefEvo: Agentic Design with Co-Evolutionary Verification for Agile Reference Model Generation RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:11:14.615391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:16:00.089055Z digest=sha256:f6d4e8a031a41f42490b76772a653adc3e59d090766d17da0840d879afdefc4b

Observation d9df277e-bc8c-4616-a08f-81057eef75f1 · inbound

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation cites this paper.

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.265943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:49:52.243940Z digest=sha256:97bb436f2f8d98ae3a67977b7032bc8736a2b4faa5d5e9959c60e07763538807

Observation 848f8f92-28ff-4b6f-9ebc-09323e5031a6 · inbound

Alpha-RTL: Test-Time Training for RTL Hardware Optimization cites this paper.

Alpha-RTL: Test-Time Training for RTL Hardware Optimization RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.132730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T07:11:52.187869Z digest=sha256:db644f5979178c4459c40e485d38c50b305409f93b36b1eb4393be52e71525b5

Observation 5b882b5e-8538-47dd-aa4a-26ae5034d4a2 · inbound

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits cites this paper.

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.355587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T03:58:14.042598Z digest=sha256:56b23fc34d9bd477527106ad097c597654ed5ce04d5b8276c1fc869067d583cd

Observation 439ecdb6-d94c-4c47-ac8e-1f8e756ccc81 · inbound

Agentic Hardware Design as Repository-Level Code Evolution cites this paper.

Agentic Hardware Design as Repository-Level Code Evolution RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T18:45:58.292383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T01:49:07.838897Z digest=sha256:2ac426f27db51da94b1ea6c9e50c7e1a4946edbae0dd2403ded54b336919fd91