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Paper Citation Record · LEDGER

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.06791.

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

pith.paper-citation-record.v1
2608.06791 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:34:42.597146Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact5
  • verified fuzzy10
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c21a42f-29eb-4948-b86e-5b24f45f0e53 · outbound

This paper cites HLS-Eval: A benchmark and framework for evaluating LLMs on high-level synthesis design tasks,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation HLS-Eval: A benchmark and framework for evaluating LLMs on high-level synthesis design tasks,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.463733Z digest=sha256:202224a8dd66a4ee21217022eaac07a418cc62e5a1bcc4a67f8319488acb1686

Observation 52a52a11-36c2-4968-8092-91c598231736 · outbound

This paper cites HLSFactory: A framework empowering high-level synthesis datasets for machine learning and beyond,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation HLSFactory: A framework empowering high-level synthesis datasets for machine learning and beyond,

Reference 2

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source=pdf_text observed=2026-08-15T14:34:42.468198Z digest=sha256:796912d3708793f2602c8da40b9a84647538a43386b055c95adc7c84ae6016f4

Observation c436e6c7-aed4-4bcb-b27d-1604c1c4cc05 · outbound

This paper cites Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?

Reference 3

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source=pdf_text observed=2026-08-15T14:34:42.471980Z digest=sha256:c223da402399f5f83f7aca7386d3d94a9456546c94242d251c6e748cee016980

Observation 4c75cbc0-ef32-4dad-b42c-c85a7c5b2096 · outbound

This paper cites C2HLSC: Leveraging large language models to bridge the software-to-hardware design gap,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation C2HLSC: Leveraging large language models to bridge the software-to-hardware design gap,

Reference 4

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no resolver link, observed 2026-08-15T14:34:42.476182Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.476182Z digest=sha256:cc691af5bf538f9dbd01f0fa5caf360d00296cfc3cc8649fa017a67b435e24de

Observation 262ab053-7879-4ef6-8e6e-2533186dae7b · outbound

This paper cites Best-effort FPGA programming: A few steps can go a long way,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Best-effort FPGA programming: A few steps can go a long way,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T14:34:43.323638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.480619Z digest=sha256:229abe5f33af9193530f669e8f12a27589c00f6a3cf406f4bdd2634a98947a4b

Observation 60200cfb-378a-4208-98c4-35c8e556396e · outbound

This paper cites Understanding performance differences of FPGAs and GPUs,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Understanding performance differences of FPGAs and GPUs,

Reference 6

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raw_fallback, observed 2026-08-15T14:34:43.303857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.489094Z digest=sha256:4c4c97ac5f8ff8227773dcfb3e323f5821e09efeb0f7acbe9857b6de8f4c6da0

Observation 4944e411-6095-46ca-bd9f-f5d6fe833603 · outbound

This paper cites High-level synthesis for FPGAs: From prototyping to deployment,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation High-level synthesis for FPGAs: From prototyping to deployment,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.493225Z digest=sha256:f38714d983572a89f052186f2ccfc886a92ebd12c6c1fc4e6224d4437abd94f4

Observation b2b0e992-a603-4aad-821f-d189abcfef54 · outbound

This paper cites An introduction to high-level synthesis,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation An introduction to high-level synthesis,

Reference 8

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source=pdf_text observed=2026-08-15T14:34:42.497335Z digest=sha256:fd2f1a6e65a28d4a617abab9a17e7efe0e13b36768729ee2f8fc90a944f59d00

Observation 85dfca30-0356-4632-97db-8ca0f5451a70 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation QLoRA: Efficient Finetuning of Quantized LLMs

Reference 9

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no resolver link, observed 2026-08-15T14:34:42.501460Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.501460Z digest=sha256:10931d059f820a1f0e89084431d6e0cb999cf14cf5c56d6aa40b124bd98039f5

Observation 9474eead-83dc-4f15-9b7c-d63f3d398614 · outbound

This paper cites Benchmarking optimization software with performance profiles,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Benchmarking optimization software with performance profiles,

Reference 10

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raw_fallback, observed 2026-08-15T14:34:43.250915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.506198Z digest=sha256:677a66d62c8f779b45885d13b39c8c33a99b9e1b2347f2d807597f5835fd2b8d

Observation 46fb6441-eda1-4abb-9805-e2001b22e5a9 · outbound

This paper cites Efron and R.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Efron and R

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T14:34:43.230867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.510999Z digest=sha256:746d6ceaa61841d0357dafd0634fd349da7c0971ba4fb52f77070b9ad766590d

Observation 5717ecfd-1b9f-4649-8d0c-d1edde019f2b · outbound

This paper cites Exploring code language models for automated HLS-based hardware generation: Benchmark, infrastructure and analysis,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Exploring code language models for automated HLS-based hardware generation: Benchmark, infrastructure and analysis,

Reference 12

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source=pdf_text observed=2026-08-15T14:34:42.516888Z digest=sha256:a4281ecb7f906b389941ad1aeaee4a39143806ab308fec6c9adc432f2646d4f5

Observation 93e2e707-0a7b-4098-8a24-b5f6a5c60412 · outbound

This paper cites ChatHLS: Towards systematic design automation and optimization for high-level synthesis,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation ChatHLS: Towards systematic design automation and optimization for high-level synthesis,

Reference 13

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raw_fallback, observed 2026-08-15T14:34:43.192115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.521179Z digest=sha256:218d968c515ad62ee74fc34cfdd3a06b8427dda21e288f09767c5b715a821ab3

Observation fffc7e67-05d5-49a9-8b18-f44dccc2d782 · outbound

This paper cites CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs

Reference 14

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verified exact
local_arxiv, observed 2026-08-15T14:34:42.828122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.525122Z digest=sha256:b6b62970bc197a527002cb34750a6ad4d95294992e799d40474ed1ffbee3355a

Observation 0b409ce7-2dfa-4698-b2c3-2a1f4fad2117 · outbound

This paper cites TimelyHLS: LLM- based timing-aware and architecture-specific FPGA HLS optimization,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation TimelyHLS: LLM- based timing-aware and architecture-specific FPGA HLS optimization,

Reference 15

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raw_fallback, observed 2026-08-15T14:34:43.173866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.529799Z digest=sha256:54cc5aa8ce6a30ae63b0925a399180004ca5553f5bd8a90ba4fc04d73a0ce200

Observation e3a92e9c-1d5e-4622-bf8f-a36e8adb05c3 · outbound

This paper cites LAAFD: LLM-based Agents for Accelerated FPGA Design.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation LAAFD: LLM-based Agents for Accelerated FPGA Design

Reference 16

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verified exact
local_arxiv, observed 2026-08-15T14:34:42.811138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.534015Z digest=sha256:a5c8888bd67361d0c7acff00c6fe4659cbeca97783b379505db60609d434a7fd

Observation 0dd7482b-8619-4ae4-95e3-46081bcc2902 · outbound

This paper cites PolyBench/C: The polyhedral benchmark suite,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation PolyBench/C: The polyhedral benchmark suite,

Reference 17

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raw_fallback, observed 2026-08-15T14:34:43.158875Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.538842Z digest=sha256:1935f58d2c8e9da944ef9b5cce0856b35bc92aa55fb270d64e20276c865732cb

Observation 19562361-ec80-4010-8483-06ced6845dcf · outbound

This paper cites A unified framework for automated code transformation and pragma insertion,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation A unified framework for automated code transformation and pragma insertion,

Reference 18

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raw_fallback, observed 2026-08-15T14:34:43.144542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.545221Z digest=sha256:bdf7ca9b17af74509662a89ae791a320a2b0469641de0ef903bb2730ff61cedc

Observation 3e4d5d5a-034a-44f9-b132-24d2c9f4c45e · outbound

This paper cites LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning

Reference 19

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T14:34:42.549400Z digest=sha256:9bad38c47771d1f981e4d6ac40ce129751217506778a918eb91b1d99a774314d

Observation f277598b-b8b5-42c5-b21c-90e0e22d6852 · outbound

This paper cites Qwen3.6-27B: Flagship-level coding in a 27B dense model,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Qwen3.6-27B: Flagship-level coding in a 27B dense model,

Reference 20

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source=pdf_text observed=2026-08-15T14:34:42.553493Z digest=sha256:5931be1ebb661d22972c140661b194fe3e4d9ad97fc130edf44de7f9b74e6f77

Observation 4ae1b8c1-d376-4caf-b51a-d826ef72881f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 21

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source=pdf_text observed=2026-08-15T14:34:42.557301Z digest=sha256:c94220ca35442350ae279906424261f8a7e7fc99d2298c4cc4725ff790cadf03

Observation d1d8b425-2814-4ecf-806b-690e0d3dd639 · outbound

This paper cites Autodse: Enabling software programmers to design efficient fpga accelerators,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Autodse: Enabling software programmers to design efficient fpga accelerators,

Reference 22

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source=pdf_text observed=2026-08-15T14:34:42.561423Z digest=sha256:5cff7151cf3ab62f55d53898098e8c6222d69805dc55e0eca08033c7ec7e1b59

Observation 3fd2f60b-b047-48e0-b200-65ba1914e0f7 · outbound

This paper cites Gemma 4 Technical Report.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Gemma 4 Technical Report

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.565325Z digest=sha256:d61b052751110031aef98eb97502213549f557dee1f29cf4b32e5feaa16df03f

Observation 80539f25-1e3d-4cd5-87b8-27ab1002f5fe · outbound

This paper cites HLSPilot: LLM-based High-Level Synthesis.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation HLSPilot: LLM-based High-Level Synthesis

Reference 24

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no resolver link, observed 2026-08-15T14:34:42.569977Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.569977Z digest=sha256:ef30db331db5b9e0e26c2c707879f6cffb1e7d43bea7c1fc64c5856db9701293

Observation f694c7ca-4d0e-49b8-a032-b1462d34ed01 · outbound

This paper cites Deepseek-v4: Towards highly efficient million- token context intelligence,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Deepseek-v4: Towards highly efficient million- token context intelligence,

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:34:42.575268Z digest=sha256:6895ce0cd782a1dc312c1dad99bb9a21575e7533a40ac9d0befc11cd6785cf4d

Observation 8c824975-5e32-45ea-88e6-b1048fbdaa6a · outbound

This paper cites Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T14:34:43.117904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.580677Z digest=sha256:eb7d5b9584aea67cc704521bf9830e22f43b3f38891fe66ad1af9c84bd6481e8

Observation 6fda06fb-1e15-494c-93c7-dcac96e42b85 · outbound

This paper cites HLSRewriter: Efficient refactoring and optimization of C/C++ code with LLMs for high-level synthesis,.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation HLSRewriter: Efficient refactoring and optimization of C/C++ code with LLMs for high-level synthesis,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T14:34:43.100938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.584435Z digest=sha256:6fcd839043ae40a03bd7bc165e790823f17e072924d70331690ef6715f9545d6

Observation 89e93358-aa5c-4c59-8a0b-730ee967bbed · outbound

This paper cites ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

Reference 28

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verified exact
local_arxiv, observed 2026-08-15T14:34:42.691470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.588825Z digest=sha256:d63361c779e55262827b58611ba892c6bbd66e3d4b7b06101b255cb174c9ae13

Observation 00fda08e-0a8f-452b-95f3-1097fa5807f6 · outbound

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

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:34:42.673713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.593114Z digest=sha256:a7f6a8c84c82c126ce544f35c34ba36f5f80084fdb52d5c0dc4e30acb3bfd6f3

Observation 54f6d273-379e-427e-8f38-0bd0a34212c3 · outbound

This paper cites AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:34:42.656431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.597146Z digest=sha256:5133d7525ac96457090ede93c55539222743717c9075002b494132150ad8d9d2

Observation f131ccc9-e82e-414f-ad02-5fcd0fd86084 · outbound

This paper cites Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.

HLSmith: An Expert-Guided Agentic Framework for C/C++-to-HLS Translation Best-Effort FPGA Programming: A Few Steps Can Go a Long Way

Reference 2018

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metadata mismatch
local_arxiv, observed 2026-08-15T14:34:42.926078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T14:34:42.484453Z digest=sha256:3c074bf334c01d1f4e11b5ba6e56ddb9dcc4a87fede496bdd94f16e408783d1d

Pith citing papers

No inbound Pith citation observations are available.