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Paper Citation Record · LEDGER

Enabling New HDLs with Agents

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2501.00642.

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

pith.paper-citation-record.v1
2501.00642 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:50:40.075299Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 106792c3-9a22-4108-9362-8114c3c1e44f · outbound

This paper cites https://artificialanalysis.ai/ models/gpt-35-turbo.

Enabling New HDLs with Agents https://artificialanalysis.ai/ models/gpt-35-turbo

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.839554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.861472Z digest=sha256:5e03c5da3ad51819d647d772e13b246f06c7125542451a60df589832d8813989

Observation b6b2b55d-df7c-4fa8-9850-33a4ae03d6b1 · outbound

This paper cites https:// github.com/MikePopoloski/slang.

Enabling New HDLs with Agents https:// github.com/MikePopoloski/slang

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.825672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.866435Z digest=sha256:7d972f5695e666bbaf2b75cc70cf7ffeb4a611b83cb838d1d108de8f3a68d3c8

Observation 3086b714-27db-4395-a10a-8f1f05f0673b · outbound

This paper cites website, November 2017.

Enabling New HDLs with Agents website, November 2017

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.810448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.871056Z digest=sha256:8d3ad6cf1ac84682409d78a6f7b7174fbc197f9b93382f37dbfcf2147b778442

Observation 5fd30ebd-8a34-49ec-bd00-57a8457dad91 · outbound

This paper cites website, November 2023.

Enabling New HDLs with Agents website, November 2023

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.796274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.875463Z digest=sha256:4433bfb6f69b0e935bd68f47ff306e1520f383eecc2aa6d9d3a418333deaffff

Observation 79ebe2f3-7f45-412a-97d5-9f4384acddd7 · outbound

This paper cites Few-shot training LLMs for project-specific code-summarization.

Enabling New HDLs with Agents Few-shot training LLMs for project-specific code-summarization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.880069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.880069Z digest=sha256:2f3aeb8b1a5ee438cbb3111ba752dab9218c55853038d7f79d22f1a4919009ea

Observation 3d555244-1ba5-4ad4-af86-54d707e525c6 · outbound

This paper cites Chisel: constructing hardware in a scala embedded language.

Enabling New HDLs with Agents Chisel: constructing hardware in a scala embedded language

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.782296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.884967Z digest=sha256:68cf975d3bb1e4e68dfdd5175a09840f4a2f36778c9fcd0301f5ec80bcf542b1

Observation 0280f5f1-3d10-4324-a58d-e0102b617ab7 · outbound

This paper cites Teachinglargelanguagemodelstoself-debug, 2023.

Enabling New HDLs with Agents Teachinglargelanguagemodelstoself-debug, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.767055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.889937Z digest=sha256:a37a319b4e645eedd9f8a27ed3b13c832f0c0206abe3354a618d608db1f8c410

Observation 2a0ff2ec-c71a-47c2-96b6-3ddb4c1d053f · outbound

This paper cites A pythonic approach for rapid hardware prototyping and instrumentation.

Enabling New HDLs with Agents A pythonic approach for rapid hardware prototyping and instrumentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.751630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.893965Z digest=sha256:9f38c854acd0cf98da4fa0b98295953f1f9210a149df01382ad9e61744555008

Observation 76eb006e-c557-47e5-bb8c-01aa85042005 · outbound

This paper cites Self- collaboration code generation via chatgpt, 2023.

Enabling New HDLs with Agents Self- collaboration code generation via chatgpt, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.736357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.897979Z digest=sha256:fd920033e933f22adff84c9d709f08e2319c217b889c2f6fac91a268c5d0b72f

Observation d1f88cc1-fffb-4cd5-9ddc-05c34a4a6ccf · outbound

This paper cites Efabless 1st competition winners.

Enabling New HDLs with Agents Efabless 1st competition winners

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.719931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.902138Z digest=sha256:ff420ad0acd4e974fea9c7d53d996befd2f22d1164046f71a594b954a8c4f765

Observation deefb27d-9b1f-45a7-86d0-c2009d4cceb4 · outbound

This paper cites Efabless 2nd competition winners.

Enabling New HDLs with Agents Efabless 2nd competition winners

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.704528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.906688Z digest=sha256:f6d7da0cfb09962caa18eede4d95e2e8e348a822282e8e94460937965117b08f

Observation 375e21ae-3377-4b06-b6ce-1f53a8021210 · outbound

This paper cites Automated Repair of Programs from Large Language Models.

Enabling New HDLs with Agents Automated Repair of Programs from Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.910710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.910710Z digest=sha256:14fdc21ce579c90c4374d8e00220390e45588d19cd932e214993f8257c1a2162

Observation ef6a3694-e671-4f07-bc8c-469fa169ad1b · outbound

This paper cites XLS Website.

Enabling New HDLs with Agents XLS Website

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.687448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.914889Z digest=sha256:d8fbaacb474ec9c3dad95c34e8885f32caf9ab6d23f0e94319fedd16b00538c7

Observation 32de6a52-ebf0-41fe-b556-cb1892be09e4 · outbound

This paper cites Financebench: A new benchmark for financial question answering, 2023.

Enabling New HDLs with Agents Financebench: A new benchmark for financial question answering, 2023

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.671957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.918715Z digest=sha256:46356715f809c769629a0ab4e3d509a04650ae6df29c27a736f4de1e9fe1c1c4

Observation dea90c6e-4137-4f65-8f3e-f02d0ff76537 · outbound

This paper cites Self-planning code generation with large language models, 2023.

Enabling New HDLs with Agents Self-planning code generation with large language models, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.655771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.922650Z digest=sha256:8939128648f9f3d89bd205153182bd719ed4db60444468174376cbe0fc3427ca

Observation 06e52206-49b3-465e-8531-d3117e35cdc1 · outbound

This paper cites Towards llm-powered verilog rtl assistant: Self- verification and self-correction, 2024.

Enabling New HDLs with Agents Towards llm-powered verilog rtl assistant: Self- verification and self-correction, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.641011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.926708Z digest=sha256:6187eb0e80856e89fd8502140f8750241adc8f4080227cbd20d30fe97a7e454d

Observation e9ba1566-7fcc-4b7d-a88f-58bed9ccfc00 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021.

Enabling New HDLs with Agents Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.626087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.931148Z digest=sha256:f3317dfee997ea4a26d9ea3947b50f010ad9331b827992dc30dee4535b959692

Observation a68fd763-5240-4f3e-bddb-0467fb80e11a · outbound

This paper cites The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023.

Enabling New HDLs with Agents The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.935524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.935524Z digest=sha256:c33192ae2e57406f134c6e6e30c7cd9d153462424312ec19178e89c6188813d2

Observation 466cab17-5f36-4592-8cfd-6c2cbb8c30b4 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.Advances in Neural In- formation Processing Systems, 35:1950–1965, 2022.

Enabling New HDLs with Agents Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.Advances in Neural In- formation Processing Systems, 35:1950–1965, 2022

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.600825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.940155Z digest=sha256:e957c6d17f254345a76da322c096f7ec472e5cc3a8731cd49df7ccf163c6407e

Observation 989a9187-e620-482e-ab16-fb604c04d06a · outbound

This paper cites VerilogEval: Evaluating Large Language Models for Verilog Code Generation.

Enabling New HDLs with Agents VerilogEval: Evaluating Large Language Models for Verilog Code Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.944547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.944547Z digest=sha256:0d9724d42d335363ff58deaa085f74eb695ecc98f31eefa756a69134fae4c739

Observation e5441da5-9f6e-4d2b-8b2e-131cda6d4239 · outbound

This paper cites Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution, 2024.

Enabling New HDLs with Agents Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.586132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.949619Z digest=sha256:ed7b4c52c79f93dcf35fe8bcf5ed43522763302eb41ab0e2f05be7f1a80b38dc

Observation f5906c7a-184b-4b51-9cc6-fdfb5b5b5e78 · outbound

This paper cites Rtllm: An open-source benchmark for design rtl generation with large language model, 2023.

Enabling New HDLs with Agents Rtllm: An open-source benchmark for design rtl generation with large language model, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.571267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.954291Z digest=sha256:f1890b74f0b27fc0469c2b502fcfdbe270bcdc6cdaa146e51b79919712039ee2

Observation 35c8d368-8526-4f82-bf08-b2bbae521e7e · outbound

This paper cites Self-refine: Iterative refinement with self-feedback, 2023.

Enabling New HDLs with Agents Self-refine: Iterative refinement with self-feedback, 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.556450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.959104Z digest=sha256:ee4d3e87cdeb8cd66ba8fade50f3f7731f794e090e84a17bec98ace79902ec47

Observation a182e7b3-eb1c-46ae-8876-843f65370f1c · outbound

This paper cites Coffee: Boost your code llms by fixing bugs with feedback, 2023.

Enabling New HDLs with Agents Coffee: Boost your code llms by fixing bugs with feedback, 2023

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.541468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.963782Z digest=sha256:f81f7154f7634101fa9aad0bcbe8a89f5e253145e26a1d283cfcc2b2012974aa

Observation 55a7f694-1313-4dcc-a7f6-e023bd9b1d99 · outbound

This paper cites LEVER: Learning to Verify Language-to-Code Generation with Execution.

Enabling New HDLs with Agents LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.968383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.968383Z digest=sha256:3e78ba576479c5c638d4fb259d58e6d9e3c859c22fea1900d2a71c08240b890c

Observation 5a944efd-f99d-4753-be2e-d5414189a6d1 · outbound

This paper cites Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama.

Enabling New HDLs with Agents Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.525404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.973656Z digest=sha256:4b6bfad14a2e4ee192b13a988a28b7e675b01aa448024f1490ad31fa67447bd7

Observation 134b37c4-4310-4c2f-8662-1042df0def7d · outbound

This paper cites A survey on trans- fer learning.

Enabling New HDLs with Agents A survey on trans- fer learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.510101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.978732Z digest=sha256:2c5ea48bcc1f3594c669214c2b7514decac5830111722ef0b424250e00672722

Observation b016e224-86f0-43e0-a54e-c40646ead272 · outbound

This paper cites A study of transfer of skill between programming languages.

Enabling New HDLs with Agents A study of transfer of skill between programming languages

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.495245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.983376Z digest=sha256:b17a90158b91004b092cb534cde6e5c4da15afd01394738e5c68a86f3252d338

Observation 8e2a8edb-b04f-4024-afec-6950b599dc4c · outbound

This paper cites Desmarais, and Giuliano Antoniol.

Enabling New HDLs with Agents Desmarais, and Giuliano Antoniol

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.480354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.988267Z digest=sha256:42215967aa482bfe95f9d89bc72f219e219ebeb7d1290e6f8f5f518f5324de00

Observation 16db4d2f-fdad-497d-94d4-5449243abd92 · outbound

This paper cites Benchmarking large language models for automated verilog rtl code genera- tion.

Enabling New HDLs with Agents Benchmarking large language models for automated verilog rtl code genera- tion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.465343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.992788Z digest=sha256:00608ed08faed7e4436bb4681cc8920e37119d3e06bd004a987a50aef42b2d76

Observation 9d24e747-b828-4714-906e-0939ca81e907 · outbound

This paper cites Verigen: A large language model for verilog code generation, 2023.

Enabling New HDLs with Agents Verigen: A large language model for verilog code generation, 2023

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.448856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:39.997122Z digest=sha256:8fafe760e8443267d8bfd57e81e8cfbd2f8facac0f8677d7421bc471a365a817

Observation 80717c52-4396-4516-94f4-8cd4171bcb3c · outbound

This paper cites Autochip: Automating hdl generation using llm feedback, 2023.

Enabling New HDLs with Agents Autochip: Automating hdl generation using llm feedback, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.434109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.001678Z digest=sha256:d5c776b482aa823ead3c070c85fbd0a94cf31c4d2fe7d7b4dde6c65fbef09b66

Observation bf3ef9a5-66dc-4a82-bb73-003d8ebee954 · outbound

This paper cites Rtlfixer: Automatically fixing rtl syntax errors with large language models, 2024.

Enabling New HDLs with Agents Rtlfixer: Automatically fixing rtl syntax errors with large language models, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.419249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.006401Z digest=sha256:1fb82cc804d557d8176dabb1254456c7ec01401b9378f18987aa2b4d5432b5a2

Observation 944c98eb-269e-44a1-83c7-6c071e640025 · outbound

This paper cites Intervenor: Prompt the coding ability of large language models with the in- teractive chain of repairing, 2023.

Enabling New HDLs with Agents Intervenor: Prompt the coding ability of large language models with the in- teractive chain of repairing, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.405072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.011147Z digest=sha256:0450fd1639b127f742375ccb51edb8bcb03524fbc6801b75375bea18698aff19

Observation b228ad39-94c2-4604-b185-7a3d3912c573 · outbound

This paper cites Chatcoder: Chat- based refine requirement improves llms’ code generation, 2023.

Enabling New HDLs with Agents Chatcoder: Chat- based refine requirement improves llms’ code generation, 2023

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.390640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.015749Z digest=sha256:ace0bcf637b112b947f8d7bd14493bdd01166513cd094aaeecf3fc1adfc944be

Observation cf76c16b-0bba-47f7-872b-9f3b37c2b87a · outbound

This paper cites Chain-of-thought prompting elicits reason- ing in large language models, 2023.

Enabling New HDLs with Agents Chain-of-thought prompting elicits reason- ing in large language models, 2023

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:40.020012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:40.020012Z digest=sha256:fc3b0486d461c04e31307a7c92c032a5d464cd8887ca8849515aa1951aa0e54f

Observation 497c1df9-30e8-47cd-a70b-d6d984e42169 · outbound

This paper cites Yosys Open SYnthesis Suite.

Enabling New HDLs with Agents Yosys Open SYnthesis Suite

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.365570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.024384Z digest=sha256:42c3adf9dbb3b0b6f8596ce3efd67d215a8e5ffc5372d5807699c25c30ec4be8

Observation a8abca24-01a8-4ced-af0d-4094eb454b30 · outbound

This paper cites Conversational Automated Program Repair.

Enabling New HDLs with Agents Conversational Automated Program Repair

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:40.028451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:40.028451Z digest=sha256:481f593e9d5e828712866155871d51cc43426d76cd47a178d26b3f93d8f6e3f7

Observation c1202c38-6fc3-46f8-8777-165c6fd6e3e9 · outbound

This paper cites Le, Denny Zhou, and Xinyun Chen.

Enabling New HDLs with Agents Le, Denny Zhou, and Xinyun Chen

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.350093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.032801Z digest=sha256:d9dea21eb2ece8525ef5a41d9994e31a83ca77ff938253da719d24c1da8780b6

Observation 516f9bec-4186-4f7a-8601-ec345d554ed4 · outbound

This paper cites A new design approach of hardware implemen- tation through natural language entry.IET Collaborative Intelligent Manufacturing, 5(4):e12087, 2023.

Enabling New HDLs with Agents A new design approach of hardware implemen- tation through natural language entry.IET Collaborative Intelligent Manufacturing, 5(4):e12087, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.333689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.037050Z digest=sha256:be7e516c81aba89a5aaad7b153a10cc0cb60436b9ef241ffce5f80b5193fbc3a

Observation 1d9a699d-c2e1-4dd1-8adc-aff370258b6d · outbound

This paper cites React: Synergizing reasoning and acting in language models, 2023.

Enabling New HDLs with Agents React: Synergizing reasoning and acting in language models, 2023

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:40.041358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:40.041358Z digest=sha256:5455a1750b1600ea31b68ba664937cd18b10bf13a03bc4374a4a30b4a1ad31ca

Observation e7ceb4d0-e2ed-4ec1-83e5-4ba771c40f8c · outbound

This paper cites Hdlde- bugger: Streamlining hdl debugging with large language models, 2024.

Enabling New HDLs with Agents Hdlde- bugger: Streamlining hdl debugging with large language models, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.308729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.045508Z digest=sha256:87de26eef1ecd3e0e49a5450f75443537fa97bee944e42f1c9b8902b7877ed00

Observation 28837a5b-0239-47e8-8f05-1657bcfcaf99 · outbound

This paper cites Lumos: Learning agents with unified data, modular design, and open-source llms, 2023.

Enabling New HDLs with Agents Lumos: Learning agents with unified data, modular design, and open-source llms, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.292044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.049992Z digest=sha256:20df7b659c0ba770471eac04e22008e69dcb3f793e8e9f53e8da4d588199721b

Observation 4877905d-78bd-417c-b093-083db38ca62d · outbound

This paper cites HDLEval Benchmarking LLMs for Multiple HDLs.

Enabling New HDLs with Agents HDLEval Benchmarking LLMs for Multiple HDLs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.274332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.054138Z digest=sha256:c4d01a21ef4fa3e7ba99c8d5c4b3f37ed2179c3ed635e25844ac1c954383c209

Observation 7bf6174a-7fdf-4233-b33d-240470dcf9ea · outbound

This paper cites Self- edit: Fault-awarecodeeditorforcodegeneration.

Enabling New HDLs with Agents Self- edit: Fault-awarecodeeditorforcodegeneration

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.256250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.058331Z digest=sha256:cff6ffc2084a14a4f9494adf8558581c0ee264c501b3d6ed962e37a151c95323

Observation eb58194a-13d6-4a9f-b10d-bdeb77f19042 · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

Enabling New HDLs with Agents ExpeL: LLM Agents Are Experiential Learners

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:40.062560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:40.062560Z digest=sha256:296fc8e7a7a9ba05c8efd31f374b8e5bf7ec88e938a04645bbfee90b0e439c32

Observation b5b88bf8-697b-4da6-81e9-ed5c179f64c0 · outbound

This paper cites Verilogcoder: Autonomous verilog coding agents with graph-based planning and abstract syntax tree (ast)-based waveform tracing tool, 2024.

Enabling New HDLs with Agents Verilogcoder: Autonomous verilog coding agents with graph-based planning and abstract syntax tree (ast)-based waveform tracing tool, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.240408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.066923Z digest=sha256:bae5900f566119df8394ca0e3e31903e4b3115292078b4bf241b5fbadfe52dd5

Observation 5a9a98ad-0f59-489f-a279-da30588322e7 · outbound

This paper cites Can chatgpt replace stack- overflow? a study on robustness and reliability of large language model code generation, 2024.

Enabling New HDLs with Agents Can chatgpt replace stack- overflow? a study on robustness and reliability of large language model code generation, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.224742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.071118Z digest=sha256:eeb5da4c8e6b30ebbd2e36375f55a40b449fedfc5e08c00201d9bdea7003f4c7

Observation ebad43a3-cc8f-4e14-99fa-b50c43e57479 · outbound

This paper cites Agents: An open-source frame- work for autonomous language agents, 2023.

Enabling New HDLs with Agents Agents: An open-source frame- work for autonomous language agents, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:50:40.207823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:50:40.075299Z digest=sha256:7cc975a68e803e2e276feb0f8af1cd85ccf925664b0fcc906870d791a3e717fe

Pith citing papers

No inbound Pith citation observations are available.