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Paper Citation Record · LEDGER

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2504.14641.

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

pith.paper-citation-record.v1
2504.14641 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:42.004314Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

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  • verified fuzzy35
  • unresolved4
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation bf79faf3-8b15-4f24-b900-699d2a67a1dd · outbound

This paper cites Machine Learning in Advanced IC Design: A Methodological Survey,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Machine Learning in Advanced IC Design: A Methodological Survey,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:46:41.826326Z digest=sha256:f59c44128d94026bdd73ef91dcb3d21c4847835fb374f2a30be021d01f46d0f6

Observation c6329a3d-0b93-4dc5-9d1b-8d999bdfb654 · outbound

This paper cites High-Level Synthesis for FPGAs: From Prototyping to Deployment,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis High-Level Synthesis for FPGAs: From Prototyping to Deployment,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.601489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.831789Z digest=sha256:423ddfe543bf2bdf5e5f0c6b524be980c4172425d8de50c3143a5ddec43be4b2

Observation 24057ab1-12da-4cd5-8efe-1bfdae32c6e3 · outbound

This paper cites CPU-FPGA Coscheduling for Big Data Applications,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis CPU-FPGA Coscheduling for Big Data Applications,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.836878Z digest=sha256:df950c1e8b4bc12890a81f6ff8904eeb7b33eb2ce1e3ff147342d56cd768e23b

Observation 80ded902-1bd7-40b1-a087-f073defb57f5 · outbound

This paper cites FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.572275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.841584Z digest=sha256:d4222b94fbe3d872f65b2a34dc10b1b7ae7f0611caa7e6c512b8c9ef51b50b75

Observation 16c8db16-a83f-4cf9-800b-0e59b8e3e232 · outbound

This paper cites Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.846766Z digest=sha256:1f4639a9f58350ac19ecd1ba97a19742c4af53ab1ecded6399985fefa7e8d35a

Observation db56b0f7-9f68-4f5b-b655-9703839315a1 · outbound

This paper cites RapidStream: Parallel Physical Implementation of FPGA HLS Designs,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis RapidStream: Parallel Physical Implementation of FPGA HLS Designs,

Reference 6

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raw_fallback, observed 2026-08-16T11:46:42.543661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.851833Z digest=sha256:f9c61c0ce160766ccdc29aad3dd883fc390d19f39ce2264a40da19f12be6001b

Observation f615e018-9c70-4961-bf94-4784653d3ed4 · outbound

This paper cites Refactoring for Heterogeneous Computing with FPGA,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Refactoring for Heterogeneous Computing with FPGA,

Reference 7

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raw_fallback, observed 2026-08-16T11:46:42.528914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.857064Z digest=sha256:65daebf1c77ec5d0f9ff2e125992fa1b9ad45935d73854cb7e458cc753de5dde

Observation 03aae48b-effe-4585-a93b-c3f6012babba · outbound

This paper cites Vitis High-Level Synthesis User Guide,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Vitis High-Level Synthesis User Guide,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.861806Z digest=sha256:9fe11b9ac0b53909534e18f9b6e1827224a2eaa579744f6e92bbaed9a3b010e8

Observation a24f761b-4552-41da-9b22-e55b51dc9bb8 · outbound

This paper cites Border Control: Sandboxing Accelerators,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Border Control: Sandboxing Accelerators,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.866559Z digest=sha256:0b7ec7f93f267c3e492a69ba29e67f214c3da9de661e6db3fadaa498bce0ec14

Observation c1c1a032-3fe7-4a55-b511-85e578e65811 · outbound

This paper cites Mu-grind: A Framework for Dynamically Instrumenting HLS- Generated RTL,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Mu-grind: A Framework for Dynamically Instrumenting HLS- Generated RTL,

Reference 10

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raw_fallback, observed 2026-08-16T11:46:42.482885Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.871271Z digest=sha256:5bc7641c60cf9d0de6c9ab114b257c149bca75bc3c015a257256f55d044ca9c8

Observation f05afa69-7569-49d6-b7ea-8de538237aeb · outbound

This paper cites American Fuzzy Lop (AFL),.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis American Fuzzy Lop (AFL),

Reference 11

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raw_fallback, observed 2026-08-16T11:46:42.467983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.875881Z digest=sha256:04999ae9932744f40b9d09a8f9a422a67747cadb7c3bfae2bc9155cf9961fc22

Observation 1e26ed63-ac61-4dca-af84-89ed726842ef · outbound

This paper cites The Art, Science, and Engi- neering of Fuzzing,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis The Art, Science, and Engi- neering of Fuzzing,

Reference 12

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raw_fallback, observed 2026-08-16T11:46:42.453795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.880792Z digest=sha256:a54e8b953954a4509a6769fd6203f52a54724dbee398759c53308c02cce3cae5

Observation 979b0e0e-7d50-4128-a50e-1b2c0f94dffd · outbound

This paper cites HAsim: FPGA-based high-detail multicore simulation using time-division multiplexing,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis HAsim: FPGA-based high-detail multicore simulation using time-division multiplexing,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.885488Z digest=sha256:bcc8f3f53f321a85d30c5ade671b95dfc76d6df9e51af95bc3bf4363db06af59

Observation b0fc339f-c059-49e3-b4e6-e8d9f18d983d · outbound

This paper cites New solutions on LLM acceleration, optimization, and application,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis New solutions on LLM acceleration, optimization, and application,

Reference 14

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.890200Z digest=sha256:427de5fe411eb2b1ed05f6248b61b694e4dc99ae34e88e90644334907990b6ca

Observation ed7cfab1-9801-4b65-b0ec-c6e6ca3c94d1 · outbound

This paper cites GPT4AIGChip: Towards Next- Generation AI Accelerator Design Automation via Large Language Mod- els,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis GPT4AIGChip: Towards Next- Generation AI Accelerator Design Automation via Large Language Mod- els,

Reference 15

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raw_fallback, observed 2026-08-16T11:46:42.409512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.894748Z digest=sha256:1d85a336988f31bdc6632f4fbbf926b1f228077a0bc9b7c0d552b6fce884446a

Observation 60141a61-f8c0-4b90-a641-d66d1e30324d · outbound

This paper cites A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:46:41.899524Z digest=sha256:deba0f743ea8f8231636e9fe40b1be3839157a3537284caa8bee5e3450678275

Observation 32e61fd9-389e-4e84-9637-92c41dc2d34f · outbound

This paper cites Large Language Models for Verification, Testing, and Design,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Large Language Models for Verification, Testing, and Design,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.904695Z digest=sha256:8a35a8249f6ec36ef84824ba851dc38171e56d000d9311c1ed46329501598aae

Observation 3855ab2d-2fd8-4544-891b-8f7b31d0c4ac · outbound

This paper cites VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency,

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.909095Z digest=sha256:7fad49d96b0f8094efab8430303d2a9d8b10d844891f0c452cd799dfd5b5f038

Observation 1e6ed048-d553-42f5-bc9c-517d8e2f9850 · outbound

This paper cites LLM-Aided Efficient Hardware Design Automation.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis LLM-Aided Efficient Hardware Design Automation

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:46:41.913884Z digest=sha256:733f74627f6216b5cb15cdcb7e5cf48b09bb219f32f3167a1dee327408c74638

Observation f103f08a-080b-4351-829a-36f02eaacca8 · outbound

This paper cites Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression,

Reference 20

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raw_fallback, observed 2026-08-16T11:46:42.365293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.918708Z digest=sha256:cda3c0562ef43e241e59f41944f02a5bfaf892867efb23e699988d13be96803f

Observation d425affe-ec81-42cc-83c3-ae786ed3d095 · outbound

This paper cites AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design,

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.923126Z digest=sha256:708a6ef8c45fd94e264de92ee6719909bbbac11961fbabd218ab5a0105718816

Observation ef6cd342-ccca-4adc-b6b3-3e4d7d6e1af5 · outbound

This paper cites Paradigm-Based Automatic HDL Code Generation Using LLMs,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Paradigm-Based Automatic HDL Code Generation Using LLMs,

Reference 22

Resolution
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raw_fallback, observed 2026-08-16T11:46:42.335586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.927643Z digest=sha256:5c7cccc23311de5b9d8453c50319b0460abd09b9218c9358be79b190c5baa41e

Observation b1d59bf0-5f21-4b7f-825b-db24308b8e4b · outbound

This paper cites CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:41.932599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:46:41.932599Z digest=sha256:9c403ea6decdead56eeac0d3e08b470408f6adf68eb10c599acb31bc31ad2c74

Observation 46f919b1-b1be-4947-85ce-8aa2492151e8 · outbound

This paper cites CorrectBench: Automatic Testbench Generation with Functional Self- Correction using LLMs for HDL Design,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis CorrectBench: Automatic Testbench Generation with Functional Self- Correction using LLMs for HDL Design,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.319302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.937623Z digest=sha256:8f12a3ebf35a3d5643f78aba668ea41cc35f2dac5ba6fe3386953832ca5e9311

Observation b8216a51-f05d-4cc0-aaea-174767165531 · outbound

This paper cites HTransformations of High-Level Synthesis Codes for High-Performance Computing,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis HTransformations of High-Level Synthesis Codes for High-Performance Computing,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.304066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.941949Z digest=sha256:387997ecbaebf4e322e60a1964911432d9f5b6fbb9fde5bcd506c27a32e94528

Observation c22f836e-9485-4eab-81b6-cd18469fa8c0 · outbound

This paper cites Synthesisable recursion for C++ HLS tools,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Synthesisable recursion for C++ HLS tools,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.289652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.946244Z digest=sha256:98ba7ffdc9be0b122d9addea83308d72308d8662f2d9b25a51b71e291e1a811f

Observation adbe9c8e-4a96-4865-8e50-d3b252d473bc · outbound

This paper cites Finding and Understanding Bugs in FPGA Synthesis Tools,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Finding and Understanding Bugs in FPGA Synthesis Tools,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.274611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.950581Z digest=sha256:a1ccaf9fb9d8e5406746164f5a030d332464a7deb0bd22edf1236113c7e43054

Observation 6b6b7e13-bc1a-44ba-95bd-0ee88954e864 · outbound

This paper cites RFUZZ: Coverage-Directed Fuzz Testing of RTL on FPGAs,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis RFUZZ: Coverage-Directed Fuzz Testing of RTL on FPGAs,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.259868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.955099Z digest=sha256:9a8141449f8d1632cebed758aa6c3394b70386b07b11eb6d61667f6ffcfdcba0

Observation 6cffb017-e903-4737-8dc9-868db51a66bd · outbound

This paper cites Fault Testing and Diagnosis Techniques for Carbon Nanotube-Based FPGAs,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Fault Testing and Diagnosis Techniques for Carbon Nanotube-Based FPGAs,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.244830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.959572Z digest=sha256:4abc7adadb9121b49b41cd2a0925268d8e1fec0c5ff64a21e4b92cf4a07579ed

Observation d45a1335-c04b-4b41-939d-14f317526cfa · outbound

This paper cites Testing and Fault Tolerance Techniques for Carbon Nanotube-Based FPGAs,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Testing and Fault Tolerance Techniques for Carbon Nanotube-Based FPGAs,

Reference 30

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raw_fallback, observed 2026-08-16T11:46:42.228856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.963972Z digest=sha256:c7ff941785f3606eb3426280cfce93ad8a7bce670b71367c835afd3edc9ed118

Observation 8a0952db-bca9-4e3a-af78-ea570f38cdaf · outbound

This paper cites Automated C/C++ Program Repair for High-Level Syn- thesis via Large Language Models,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Automated C/C++ Program Repair for High-Level Syn- thesis via Large Language Models,

Reference 31

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raw_fallback, observed 2026-08-16T11:46:42.213614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.968432Z digest=sha256:4d0a3af1993f8e1d4579d24c4e2ffd1379f4012bdbb247ef7989ac39a771c2ae

Observation 145c78c2-b79f-4833-b535-b1de697111ce · outbound

This paper cites HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for HLS,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for HLS,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.198178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.972608Z digest=sha256:ef8af98396e8b96ea2b320b5a6e98333807ba10bda498eeb26569dfcb7bf774b

Observation d06bc9fd-8c2c-4b9e-9b42-b3d5e97c5eb3 · outbound

This paper cites Open Source Computer Vision (OpenCV),.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Open Source Computer Vision (OpenCV),

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.181880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.977037Z digest=sha256:c725fb96991c025e8f800bef0d0be9c62de6fecbbb4bdbe72d9ae27e04b11ef8

Observation cc0e2bd2-5ce0-4be6-ac06-47de45b0ee77 · outbound

This paper cites Leetcode Problem Set,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Leetcode Problem Set,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.166061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.981458Z digest=sha256:c0c46fa9e31567d2b02c2b1ae810f71c50e1c5703d423fbacf2411b1242b83eb

Observation 029d360f-5167-401d-baa8-93b5d3abcb36 · outbound

This paper cites GPT through OpenAI API,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis GPT through OpenAI API,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.149828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.985949Z digest=sha256:8b8793284bd1ac5555d1025374f6fc977ec6259a49f67ba0a5ce63c1dc010e8c

Observation 42a92582-4a36-4002-9955-2ccdac4782e5 · outbound

This paper cites A Survey on Software Fault Localization,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis A Survey on Software Fault Localization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.133984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.990616Z digest=sha256:522b7226bc30bdcdb6d448c90e9a2db7b6e00ce66958f4fa27747b37215ba386

Observation 0b04ae60-93f0-454d-b64d-3dc98f9d5a02 · outbound

This paper cites An Em- pirical Examination of Fuzzer Mutator Performance,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis An Em- pirical Examination of Fuzzer Mutator Performance,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.118636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.995301Z digest=sha256:1e79447705b3e57fc7ba720743d0e14e47eb92c1e44a0bcb773e5c08405cf05e

Observation 33cf0d44-a779-4680-ae76-2ea1a514ece4 · outbound

This paper cites Logic Design of Neural Networks for High-Throughput and Low-Power Applications,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Logic Design of Neural Networks for High-Throughput and Low-Power Applications,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.103351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:41.999789Z digest=sha256:21995ed3cd87cf58e31b0975bbcb7a1b6252f8e388d364b3c924a12de5782850

Observation 9f623f3d-f9d4-474f-8cf9-9082effe5765 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,.

HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:42.088272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:46:42.004314Z digest=sha256:2bee8083ecc2a7589d20c02d270c1182fcd669ddf4ecacc3d84bd0fceaa1b226

Pith citing papers

No inbound Pith citation observations are available.