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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.861472Z digest=sha256:b6f59fc59b228b9af396ee15afe625ea3ac553bd09740b8a8a7669aebbcf20f1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.866435Z digest=sha256:7e04af99fbc32bdf97e24d43b7d95731510dcb54f42465463cb72cc8133fdcdf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.871056Z digest=sha256:aa992e3bf49c43eb4cbf881ba29d70055cc1aef230de8a0fe51fe3318d37788e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.875463Z digest=sha256:2ab619ecf4034e5e88686f82fa02af27cdc092e43be1f742b631aab66d1b5b85

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=sha256:0ba62abf6d86460a084cc19c17d7e01e1889c01f5f0607a192905ae6b61054a6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.884967Z digest=sha256:1e745d2bd011512b5ef52f5b93ebb08ddcf9a1179c134bdf9bb2d1aeeddfe168

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.889937Z digest=sha256:c508bda78a686b8c599f8700d167a178da81662f856ffe156a29c46b72cbdc26

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.893965Z digest=sha256:0ab091c9234280c82fe18eeab25b67563da016f9f7d327033dee8a0a60c11288

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.897979Z digest=sha256:11be8383ad1aa59ac2b33814330531989937fba5541de5d85c03c74c32ee1198

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.902138Z digest=sha256:da33360be5beeefc5d1905ec84b07df17191f49b20c3f9a6784a4974965a727f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.906688Z digest=sha256:b6b002163162bc68d6fe197b0782978aa6d7d419323f52d9fa97e15a09fc274f

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=sha256:0f74dca933d028ccda3f99af4fe4f7322bc9d34d657d7ebf3d6d73e153d81707

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.914889Z digest=sha256:57c6db9d996cc3299cd3d80d4baf638bb1c6d1db2bb4b1807bf37135a2087d7f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.918715Z digest=sha256:25fd20e623ed07d0dd5118f3fe81b86646142e977ea3c4bd5e7d8e4e5ef8ae27

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.922650Z digest=sha256:ff8a71a06c3efab35047d0296e4146c374fd5289eba6f309a58965a9e204e85b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.926708Z digest=sha256:8ed633a3c411c430e20f5d297aeac20ac470a32089ccafbb8a88da2ab17e1f96

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.931148Z digest=sha256:b36970453a1175f41e800e6411039c419b67537b3f93a20b2e4a451bc639723d

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:cae53cd7b137380c7c4dc907e3c1037fb7c53f11fe1cdc81513cb48b86d719e1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.940155Z digest=sha256:5819896691645ca2ea794b0c2f1a61326f2a70c3d86acb83c480ebd92c19bdbd

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:fe1169be8e1d7d92f4245c7417e7640f48d83aa9c299f5a17ffcf8756de644d3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.949619Z digest=sha256:36dcd0164859a2495fa0e3e077a94006643e64881ca38e8c4ec9aa797761967f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.954291Z digest=sha256:5d11765628a51ca74d43b306845a1462792cc7653729e247d39389632ef8a3ec

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.959104Z digest=sha256:99213e0f1d49847b7be1f6b552282d9080460d5e40cda7ed910ff8df6d77bddd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.963782Z digest=sha256:46585d6954524cace4a7961c0da721e2052a46914782838de50cd9e24b887319

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=sha256:1e36233ff02f034d24154329b06cf07ab672c584acdd7081b870ba28a93a0627

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.973656Z digest=sha256:39553507a12980e2828776dca3e837ffcaa9d1b07a5d2fbc8ca49b700aa09592

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.978732Z digest=sha256:b7bbe86c7e004f584b9fdab524b9713886cf78fd76a7fd03b7b6fbb9b8ee79bf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.983376Z digest=sha256:e128a645c84c51460ddfd2a9993c3af0d039be74abca4e1e11196a3afdea9cda

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.988267Z digest=sha256:89ec969db8fa233d1baab0eac9c87bf4ff2b26ed3f696c3f96a7118ba5efd3fb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.992788Z digest=sha256:269511fb711817cc84406f0218f4468b9a3a2c91a50213c9e3d64a8331fdf68d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:39.997122Z digest=sha256:3bf12e33d067f793aee53eca075d31c09f8d028717d2ed40eba5559d2ed1f091

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.001678Z digest=sha256:d522f366e2c1f5124cb087cbbb71750e55c649190e8c3505521510baba7b9258

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.006401Z digest=sha256:a4109eb23125feb2670dbfcb15b0c57684c8c188efdcf7372c45780a7e386183

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.011147Z digest=sha256:4ca803cacce5f17147b65aa1e09238c8afab07aec1fe8dd811125f1d70433d41

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.015749Z digest=sha256:b02633a72906324850ee317e73960b976665b64a19645c32d86b36485b7df904

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=sha256:4f3148b53884f66eae2cb698d53ec9d0f7b08d87dc5a6c2338353e05fab651f5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.024384Z digest=sha256:4b95c1f7b263b9d5501e7ab71c533f4f68bde91b6988be830a38d37f4db23b08

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:ddabd41c2a4ee919bc3d9afbef8b5266726aacfb0810ee4f486595aed24865d4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.032801Z digest=sha256:ae1a343add8c4e362ffc169ffa7be6d40f59f7b50fc78b127a1704732881283b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.037050Z digest=sha256:f5dbeeee4d97241f9b81d742556023f4ce743ac9de9ce9c3284d39a4b8860cfa

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=sha256:1949a388c2ae262161ea754fe5b1dae2710899bff061b76a91d75208d2541651

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.045508Z digest=sha256:f09e4fd51a8c4a43e1a1c16868ec7b0d346177ac7f67347f549653bd8995dfe2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.049992Z digest=sha256:1fc45be124edaf2df56758ffdda302dc19805686731d0de1e1a154a59de84352

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.054138Z digest=sha256:a45a2fb116fbd98d7b02dd8ffba9a4b8056e5953059064beb39892e9d1153eea

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.058331Z digest=sha256:e9680cf2807501791ba5da8c1b2a01ee85a015dd770cf171f32a29b88299c5ad

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=sha256:6ef34106f708ff125cfe086e677e7a25c0036803d5dc5625b5d65048e866a708

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.066923Z digest=sha256:ff6425c536c2e2a781adeb7fa60e1be8e661be7ba477047e3a4d44efe7768098

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.071118Z digest=sha256:9493493158ff7389f88e26de4b8519e6d414451a5a537c191210111647cc46a4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:50:40.075299Z digest=sha256:9ba7fe18af0ee9d36d868c1f76b9574bb964ba13908db501b67d8165d94e260a

Pith citing papers

No inbound Pith citation observations are available.