Pith. sign in

Paper Citation Record · LEDGER

Enabling New HDLs with Agents

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.861472Z digest=sha256:2eec73593c5887c606cf3dec16475d618b33eb8f870e5c7cdfbd92b8212088c3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.866435Z digest=sha256:d64985426cb5f751555bdfa4d13289a1dec9c66f9639c200718d6f336c338679

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.871056Z digest=sha256:76988028f7597b75ec561e2c880f0b4ffd4df47ce3c40c9b76000833e80cfe36

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.875463Z digest=sha256:e4580fd2c15d410faebdeddd9c2536ddbc38fd016d14bddb15e56127f91df7e6

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=sha256:175e791e3b650cc8c6602930194af44e8324ed99fe22de6dbb3811afb34135b6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.884967Z digest=sha256:a4785f72771789207f0d45d00a435e981cd361b2c4f475a0efb9361e1a8dc0c4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.889937Z digest=sha256:3e9af4d463ce2a81888ee8eb599ab69c26d18b92c408ac8ba6d212655230390c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.893965Z digest=sha256:9f5ecaddbcb26490e2798a2ae3bb60965e5500ba4344d825740744f53c628490

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.897979Z digest=sha256:f8db9a11cabd7a0a3148df1cf02691d88a7c3f64c5dea658094f03c354fde7cb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.902138Z digest=sha256:63cd94060a0aeec3c44af37db5c8c75115b3e06877d7fc59997ac7b271222016

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.906688Z digest=sha256:f9f92cdbc3eb5329e554810a024ffffdd140c4f40a94bfb45722a286efafd868

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=sha256:696a8885a6830f60da72dbd24a527456c4fd6986f2a43241321877c1936c6f51

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.914889Z digest=sha256:1cfa494e46e803bf154ed2e8e187bc852d51ea2633a62768c653361b95f57811

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.918715Z digest=sha256:f2f50f9f307298e728748b5a0a94c1885620a6a26323b9c472601f9a1982b1a8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.922650Z digest=sha256:fc134bf969e81dd4e575789b20a4ac1a606432009fd96694220dfb82f5124fd5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.926708Z digest=sha256:e71ed9fa5d97c4f0618d977b5a40042add08b5ec710daa2968326649ffd8333c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.931148Z digest=sha256:7bccf28a639a426cc5b38419fec568aa2b883ff09c1195bb7ab24c7c88178d72

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=sha256:39432150a39342f8febc26d11894ba84dbd45a7db96e44c6bb29050a15b44879

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.940155Z digest=sha256:e203eb7dc6fc9e876174966f190f2f26af3b2cc29a9a218f80192614e816bc46

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=sha256:0fd50064a93a9e46aa42d035ba23d19bbf4bb40939e3595447f1a52778e7678b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.949619Z digest=sha256:0f057afac91c8db9798bcf64c5b685c9a3ac73ffa6acb75344109dcf2f35ddbc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.954291Z digest=sha256:eff648c15bd38703d7631e1beaf67c50dbc5a0042b8a470d27d2891cc1e37944

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.959104Z digest=sha256:62099ad9985b0d5d29fc6b64c448f6521f528c4deca45ba001e2c51a3b0523a5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.963782Z digest=sha256:eb98e6c3c07e913cd0d1e7a8649b37432dc5988e87e76f720cff5a8a60c3e8e2

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:b04053586554345f3d4167f07d5b78117fc960fc6b12ee93541bf7ab96a63c9f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.973656Z digest=sha256:5257e53ffb7d70c437608944d4c847864236a67cf9f36dc4f7bc4d84f00ae4c0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.978732Z digest=sha256:6d5eaf2b1ec6703deb32e2e4f4407ae3754f940f4a929a7a93c51f2705a451c0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.983376Z digest=sha256:676c867e77e476cfa37e96ccc214e583e75c06046cf984b666cef8e8f76aa887

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.988267Z digest=sha256:0726d26172c6442972a2e40c1ed5ec5ab98dd102c8b781bd92ef968afc82b099

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.992788Z digest=sha256:1ec25c1faf09c9a996d1f2e380e7c1460ed84a4f48102b32fa0d41528b20d070

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:39.997122Z digest=sha256:b7cee8c7c26ecd0cfdf90954a2360b4a336a344cc947298b0c1a29bffc8e5902

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.001678Z digest=sha256:40cef774468b2723e845a15adf3e1ff83e2c5ba6b69fd2cca4a9a6c36c12397b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.006401Z digest=sha256:1471a87fbc2acc55a9a36124402c4480b05af8e2ddc15b9337781b431e901099

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.011147Z digest=sha256:33c8aeab4b45cc0c5d0f935825117bf0151b54358856bab807d381933552c270

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.015749Z digest=sha256:a09295fc0ae576838360fa17b2ddc684752f85f7ed29873b8328c6fadcc63f7f

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=sha256:2ff66cc1708bedf74b42b278f3a40f168c46771197fad7be202188e295e07f12

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.024384Z digest=sha256:5d94da547c17a149704130bd7c950e448f38913e7c646e3cb240e116187ff9e7

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:f2fb4be62305dcaaad3c45e88203ef2f72b4a3df83a6bf91abd117fe32ffdcab

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.032801Z digest=sha256:6d50e7addbc5951433fdf271bfd1dba591f14daae10a657fc5d610d340d771c6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.037050Z digest=sha256:312043e330cc3a45b7c961431d26462b338a3eaf5432e1c04a4c2410defd3e07

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:be7f46f518b5ba1dfa5febb35d1733b2ed34ed29ec047b2a807d57916d965578

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.045508Z digest=sha256:52183ca5c3c662fbabf8c85577852516b1c98cd4fe5e45f035568829956434d6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.049992Z digest=sha256:a8f3a853824bc0df97db5cdf967ec216a2d7f28b3af405106f9a614fa3bbbd25

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.054138Z digest=sha256:3aefc58ea4b6a60fe1367d621b0127cca89ab692b195f6a363d2b35c8c07218b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.058331Z digest=sha256:0d0542343f6bd3bfa0473deddbefdfa44372fc0cb3fc075e4998336c9bfaa234

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=sha256:68f1dd7c53388321d886df9e21616131a361db52bc46a4cb7578c04a5e6acb23

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.066923Z digest=sha256:98ffcb0a2da4d926f41dfc406d94034a3118cd63606ddac980c3b36495092041

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.071118Z digest=sha256:418a58d259a547224e6e57c21601283cc6e4fc500b1057773358d2a29542e342

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:50:40.075299Z digest=sha256:fe3554ba84891149c55dd9de2a94931aaa6d4251118f984fa0fcfdade347552a

Pith citing papers

No inbound Pith citation observations are available.