{"as_of":"2026-08-15T03:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dbca6ff60d4f8d2da6ac6e244980365f1d0311db39ae79360a6d8d8067422111","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:50:40.075299Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.00642/citation-record","integrity":"/paper/2501.00642/integrity","json":"/paper/2501.00642/citation-record.json","paper":"/paper/2501.00642"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.835372Z","title":"https://artificialanalysis.ai/ models/gpt-35-turbo","venue":null,"work_id":"9bd24d91-8cfa-44d5-8217-5cf4abb1b03f","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.861472Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:5e03c5da3ad51819d647d772e13b246f06c7125542451a60df589832d8813989","observation_id":"106792c3-9a22-4108-9362-8114c3c1e44f","resolution":{"observed_at":"2026-08-10T22:50:40.839554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.821109Z","title":"https:// github.com/MikePopoloski/slang","venue":null,"work_id":"49e78de9-a2cc-4824-bbba-84d2b92038cb","year":2021},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.866435Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:7d972f5695e666bbaf2b75cc70cf7ffeb4a611b83cb838d1d108de8f3a68d3c8","observation_id":"b6b2b55d-df7c-4fa8-9850-33a4ae03d6b1","resolution":{"observed_at":"2026-08-10T22:50:40.825672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.806047Z","title":"website, November 2017","venue":null,"work_id":"f968e70a-8b07-4b34-a563-f874195503ae","year":2017},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.871056Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:8d3ad6cf1ac84682409d78a6f7b7174fbc197f9b93382f37dbfcf2147b778442","observation_id":"3086b714-27db-4395-a10a-8f1f05f0673b","resolution":{"observed_at":"2026-08-10T22:50:40.810448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.792097Z","title":"website, November 2023","venue":null,"work_id":"de197fc8-3cd5-41fb-9c25-7ed90f814927","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.875463Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:4433bfb6f69b0e935bd68f47ff306e1520f383eecc2aa6d9d3a418333deaffff","observation_id":"5fd30ebd-8a34-49ec-bd00-57a8457dad91","resolution":{"observed_at":"2026-08-10T22:50:40.796274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.04237","last_updated":"2022-09-08T06:50:16Z","snapshot_observed_at":"2026-08-13T15:07:49.390575Z","submitted_at":"2022-07-09T09:57:11Z","title":"Few-shot training LLMs for project-specific code-summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.04237","snapshot_observed_at":"2026-08-10T22:50:39.880069Z","title":"Few-shot training llms for project-specific code-summarization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.880069Z"},"links":{"cited_paper":"/paper/2207.04237","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:2f3aeb8b1a5ee438cbb3111ba752dab9218c55853038d7f79d22f1a4919009ea","observation_id":"79ebe2f3-7f45-412a-97d5-9f4384acddd7","resolution":{"observed_at":"2026-08-10T22:50:39.880069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.777945Z","title":"Chisel: constructing hardware in a scala embedded language","venue":null,"work_id":"4689e165-b852-4c7e-85bc-cff80ac9a918","year":2012},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.884967Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:68cf975d3bb1e4e68dfdd5175a09840f4a2f36778c9fcd0301f5ec80bcf542b1","observation_id":"3d555244-1ba5-4ad4-af86-54d707e525c6","resolution":{"observed_at":"2026-08-10T22:50:40.782296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.762171Z","title":"Teachinglargelanguagemodelstoself-debug, 2023","venue":null,"work_id":"40fe950a-48fd-43fa-9844-3d39fa17d9a6","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.889937Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:a37a319b4e645eedd9f8a27ed3b13c832f0c0206abe3354a618d608db1f8c410","observation_id":"0280f5f1-3d10-4324-a58d-e0102b617ab7","resolution":{"observed_at":"2026-08-10T22:50:40.767055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.746794Z","title":"A pythonic approach for rapid hardware prototyping and instrumentation","venue":null,"work_id":"be2a4994-8fc1-40fe-b87b-ff59e24c2ac6","year":2017},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.893965Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:9f38c854acd0cf98da4fa0b98295953f1f9210a149df01382ad9e61744555008","observation_id":"2a0ff2ec-c71a-47c2-96b6-3ddb4c1d053f","resolution":{"observed_at":"2026-08-10T22:50:40.751630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.730971Z","title":"Self- collaboration code generation via chatgpt, 2023","venue":null,"work_id":"54a4e636-5c0d-4d69-87f9-daf78302fb36","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.897979Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:fd920033e933f22adff84c9d709f08e2319c217b889c2f6fac91a268c5d0b72f","observation_id":"76eb006e-c557-47e5-bb8c-01aa85042005","resolution":{"observed_at":"2026-08-10T22:50:40.736357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.715237Z","title":"Efabless 1st competition winners","venue":null,"work_id":"76a094eb-caab-45a8-8445-47ba04593114","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.902138Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:ff420ad0acd4e974fea9c7d53d996befd2f22d1164046f71a594b954a8c4f765","observation_id":"d1f88cc1-fffb-4cd5-9ddc-05c34a4a6ccf","resolution":{"observed_at":"2026-08-10T22:50:40.719931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.699275Z","title":"Efabless 2nd competition winners","venue":null,"work_id":"d89cea32-10d3-481e-86a6-1b01a3566993","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.906688Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:f6d7da0cfb09962caa18eede4d95e2e8e348a822282e8e94460937965117b08f","observation_id":"deefb27d-9b1f-45a7-86d0-c2009d4cceb4","resolution":{"observed_at":"2026-08-10T22:50:40.704528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10583","last_updated":"2023-01-02T04:32:26Z","snapshot_observed_at":"2026-08-13T15:39:40.642043Z","submitted_at":"2022-05-21T12:48:27Z","title":"Automated Repair of Programs from Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.10583","snapshot_observed_at":"2026-08-10T22:50:39.910710Z","title":"Improving automatically generated code from codex via automated program repair.arXiv preprint arXiv:2205.10583, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.910710Z"},"links":{"cited_paper":"/paper/2205.10583","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:14fdc21ce579c90c4374d8e00220390e45588d19cd932e214993f8257c1a2162","observation_id":"375e21ae-3377-4b06-b6ce-1f53a8021210","resolution":{"observed_at":"2026-08-10T22:50:39.910710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.682563Z","title":"XLS Website","venue":null,"work_id":"3df502f4-1a3a-4c8d-bead-97c88d12d95c","year":2022},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.914889Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:d8fbaacb474ec9c3dad95c34e8885f32caf9ab6d23f0e94319fedd16b00538c7","observation_id":"ef6a3694-e671-4f07-bc8c-469fa169ad1b","resolution":{"observed_at":"2026-08-10T22:50:40.687448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.666314Z","title":"Financebench: A new benchmark for financial question answering, 2023","venue":null,"work_id":"f19d7caa-15fc-471b-9dc2-e42a4acb6adc","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.918715Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:46356715f809c769629a0ab4e3d509a04650ae6df29c27a736f4de1e9fe1c1c4","observation_id":"32de6a52-ebf0-41fe-b556-cb1892be09e4","resolution":{"observed_at":"2026-08-10T22:50:40.671957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.650984Z","title":"Self-planning code generation with large language models, 2023","venue":null,"work_id":"b9e5a55d-5420-4465-b012-d544ebd75fed","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.922650Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:8939128648f9f3d89bd205153182bd719ed4db60444468174376cbe0fc3427ca","observation_id":"dea90c6e-4137-4f65-8f3e-f02d0ff76537","resolution":{"observed_at":"2026-08-10T22:50:40.655771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.636544Z","title":"Towards llm-powered verilog rtl assistant: Self- verification and self-correction, 2024","venue":null,"work_id":"48ec23d2-5e62-4471-bd36-3ebce15bdbbe","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.926708Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:6187eb0e80856e89fd8502140f8750241adc8f4080227cbd20d30fe97a7e454d","observation_id":"06e52206-49b3-465e-8531-d3117e35cdc1","resolution":{"observed_at":"2026-08-10T22:50:40.641011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.621532Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021","venue":null,"work_id":"a89727bd-821f-42f9-9715-497011529847","year":2021},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.931148Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:f3317dfee997ea4a26d9ea3947b50f010ad9331b827992dc30dee4535b959692","observation_id":"e9ba1566-7fcc-4b7d-a88f-58bed9ccfc00","resolution":{"observed_at":"2026-08-10T22:50:40.626087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:39.935524Z","title":"The unlocking spell on base llms: Rethinking alignment via in-context learning, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.935524Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:c33192ae2e57406f134c6e6e30c7cd9d153462424312ec19178e89c6188813d2","observation_id":"a68fd763-5240-4f3e-bddb-0467fb80e11a","resolution":{"observed_at":"2026-08-10T22:50:39.935524Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.596037Z","title":"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","venue":null,"work_id":"79b2bf46-8c18-440c-aa06-81d59e32e5e9","year":1950},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.940155Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:e957c6d17f254345a76da322c096f7ec472e5cc3a8731cd49df7ccf163c6407e","observation_id":"466cab17-5f36-4592-8cfd-6c2cbb8c30b4","resolution":{"observed_at":"2026-08-10T22:50:40.600825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07544","last_updated":"2023-12-10T00:23:04Z","snapshot_observed_at":"2026-08-14T11:32:23.075653Z","submitted_at":"2023-09-14T09:15:34Z","title":"VerilogEval: Evaluating Large Language Models for Verilog Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07544","snapshot_observed_at":"2026-08-10T22:50:39.944547Z","title":"Verilogeval: Evaluating large language models for verilog code generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.944547Z"},"links":{"cited_paper":"/paper/2309.07544","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:0d9724d42d335363ff58deaa085f74eb695ecc98f31eefa756a69134fae4c739","observation_id":"989a9187-e620-482e-ab16-fb604c04d06a","resolution":{"observed_at":"2026-08-10T22:50:39.944547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.581761Z","title":"Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution, 2024","venue":null,"work_id":"f0a7f934-b24a-4ca5-8f11-8757ea15f0b2","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.949619Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:ed7b4c52c79f93dcf35fe8bcf5ed43522763302eb41ab0e2f05be7f1a80b38dc","observation_id":"e5441da5-9f6e-4d2b-8b2e-131cda6d4239","resolution":{"observed_at":"2026-08-10T22:50:40.586132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.566422Z","title":"Rtllm: An open-source benchmark for design rtl generation with large language model, 2023","venue":null,"work_id":"1aad06a2-8498-40e5-aff9-ffd5a8f7f218","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.954291Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:f1890b74f0b27fc0469c2b502fcfdbe270bcdc6cdaa146e51b79919712039ee2","observation_id":"f5906c7a-184b-4b51-9cc6-fdfb5b5b5e78","resolution":{"observed_at":"2026-08-10T22:50:40.571267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.551587Z","title":"Self-refine: Iterative refinement with self-feedback, 2023","venue":null,"work_id":"89197823-6206-4842-9e8c-3a7e2d329276","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.959104Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:ee4d3e87cdeb8cd66ba8fade50f3f7731f794e090e84a17bec98ace79902ec47","observation_id":"35c8d368-8526-4f82-bf08-b2bbae521e7e","resolution":{"observed_at":"2026-08-10T22:50:40.556450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.536259Z","title":"Coffee: Boost your code llms by fixing bugs with feedback, 2023","venue":null,"work_id":"2a0ea3ef-1a15-4b2f-afdc-a93f3646dcf3","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.963782Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:f81f7154f7634101fa9aad0bcbe8a89f5e253145e26a1d283cfcc2b2012974aa","observation_id":"a182e7b3-eb1c-46ae-8876-843f65370f1c","resolution":{"observed_at":"2026-08-10T22:50:40.541468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08468","last_updated":"2023-09-01T17:37:42Z","snapshot_observed_at":"2026-08-13T12:43:12.109151Z","submitted_at":"2023-02-16T18:23:22Z","title":"LEVER: Learning to Verify Language-to-Code Generation with Execution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08468","snapshot_observed_at":"2026-08-10T22:50:39.968383Z","title":"Lever: Learning to verify language-to-code generation with exe- cution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.968383Z"},"links":{"cited_paper":"/paper/2302.08468","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:3e78ba576479c5c638d4fb259d58e6d9e3c859c22fea1900d2a71c08240b890c","observation_id":"55a7f694-1313-4dcc-a7f6-e023bd9b1d99","resolution":{"observed_at":"2026-08-10T22:50:39.968383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.520558Z","title":"Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama","venue":null,"work_id":"39fec895-e718-48c1-989b-8c8789a6cc84","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.973656Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:4b6bfad14a2e4ee192b13a988a28b7e675b01aa448024f1490ad31fa67447bd7","observation_id":"5a944efd-f99d-4753-be2e-d5414189a6d1","resolution":{"observed_at":"2026-08-10T22:50:40.525404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.505498Z","title":"A survey on trans- fer learning","venue":null,"work_id":"92f9ef4e-47eb-49ee-8440-7bab126a77b0","year":2010},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.978732Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:2c5ea48bcc1f3594c669214c2b7514decac5830111722ef0b424250e00672722","observation_id":"134b37c4-4310-4c2f-8662-1042df0def7d","resolution":{"observed_at":"2026-08-10T22:50:40.510101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.490091Z","title":"A study of transfer of skill between programming languages","venue":null,"work_id":"af147ea6-83d0-492d-a91f-5956e7fefb04","year":1989},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.983376Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:b17a90158b91004b092cb534cde6e5c4da15afd01394738e5c68a86f3252d338","observation_id":"b016e224-86f0-43e0-a54e-c40646ead272","resolution":{"observed_at":"2026-08-10T22:50:40.495245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.476032Z","title":"Desmarais, and Giuliano Antoniol","venue":null,"work_id":"0a0f050e-58da-4c1d-aa6b-b4d28b393461","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.988267Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:42215967aa482bfe95f9d89bc72f219e219ebeb7d1290e6f8f5f518f5324de00","observation_id":"8e2a8edb-b04f-4024-afec-6950b599dc4c","resolution":{"observed_at":"2026-08-10T22:50:40.480354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.460145Z","title":"Benchmarking large language models for automated verilog rtl code genera- tion","venue":null,"work_id":"ae93044a-f034-4bf8-9f8a-0504bab34bbe","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.992788Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:00608ed08faed7e4436bb4681cc8920e37119d3e06bd004a987a50aef42b2d76","observation_id":"16db4d2f-fdad-497d-94d4-5449243abd92","resolution":{"observed_at":"2026-08-10T22:50:40.465343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.444352Z","title":"Verigen: A large language model for verilog code generation, 2023","venue":null,"work_id":"5b917e02-62f7-4fab-a8a5-0e18895ff8bb","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:39.997122Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:8fafe760e8443267d8bfd57e81e8cfbd2f8facac0f8677d7421bc471a365a817","observation_id":"9d24e747-b828-4714-906e-0939ca81e907","resolution":{"observed_at":"2026-08-10T22:50:40.448856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.429533Z","title":"Autochip: Automating hdl generation using llm feedback, 2023","venue":null,"work_id":"ccd181b2-8ec8-47fd-a2e1-381f3771c1ed","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.001678Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:d5c776b482aa823ead3c070c85fbd0a94cf31c4d2fe7d7b4dde6c65fbef09b66","observation_id":"80717c52-4396-4516-94f4-8cd4171bcb3c","resolution":{"observed_at":"2026-08-10T22:50:40.434109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.414474Z","title":"Rtlfixer: Automatically fixing rtl syntax errors with large language models, 2024","venue":null,"work_id":"1a3c151b-1fcb-4f73-9cb1-8493105c6f60","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.006401Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:1fb82cc804d557d8176dabb1254456c7ec01401b9378f18987aa2b4d5432b5a2","observation_id":"bf3ef9a5-66dc-4a82-bb73-003d8ebee954","resolution":{"observed_at":"2026-08-10T22:50:40.419249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.400541Z","title":"Intervenor: Prompt the coding ability of large language models with the in- teractive chain of repairing, 2023","venue":null,"work_id":"a56c69d0-a3f2-48d8-86ac-a521fa3ded33","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.011147Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:0450fd1639b127f742375ccb51edb8bcb03524fbc6801b75375bea18698aff19","observation_id":"944c98eb-269e-44a1-83c7-6c071e640025","resolution":{"observed_at":"2026-08-10T22:50:40.405072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.386032Z","title":"Chatcoder: Chat- based refine requirement improves llms’ code generation, 2023","venue":null,"work_id":"e8191679-7ffb-45f6-a216-93234c0626ab","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.015749Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:ace0bcf637b112b947f8d7bd14493bdd01166513cd094aaeecf3fc1adfc944be","observation_id":"b228ad39-94c2-4604-b185-7a3d3912c573","resolution":{"observed_at":"2026-08-10T22:50:40.390640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.020012Z","title":"Chain-of-thought prompting elicits reason- ing in large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.020012Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:fc3b0486d461c04e31307a7c92c032a5d464cd8887ca8849515aa1951aa0e54f","observation_id":"cf76c16b-0bba-47f7-872b-9f3b37c2b87a","resolution":{"observed_at":"2026-08-10T22:50:40.020012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.361146Z","title":"Yosys Open SYnthesis Suite","venue":null,"work_id":"95d6bbf5-3c87-4f77-a0f3-9e4796d8a31b","year":2022},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.024384Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:42c3adf9dbb3b0b6f8596ce3efd67d215a8e5ffc5372d5807699c25c30ec4be8","observation_id":"497c1df9-30e8-47cd-a70b-d6d984e42169","resolution":{"observed_at":"2026-08-10T22:50:40.365570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13246","last_updated":"2023-01-30T19:22:36Z","snapshot_observed_at":"2026-08-13T19:05:37.054186Z","submitted_at":"2023-01-30T19:22:36Z","title":"Conversational Automated Program Repair","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13246","snapshot_observed_at":"2026-08-10T22:50:40.028451Z","title":"Conver- sational automated program repair","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.028451Z"},"links":{"cited_paper":"/paper/2301.13246","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:481f593e9d5e828712866155871d51cc43426d76cd47a178d26b3f93d8f6e3f7","observation_id":"a8abca24-01a8-4ced-af0d-4094eb454b30","resolution":{"observed_at":"2026-08-10T22:50:40.028451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.344899Z","title":"Le, Denny Zhou, and Xinyun Chen","venue":null,"work_id":"741bd873-0f96-489c-bc44-49d05fad538b","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.032801Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:d9dea21eb2ece8525ef5a41d9994e31a83ca77ff938253da719d24c1da8780b6","observation_id":"c1202c38-6fc3-46f8-8777-165c6fd6e3e9","resolution":{"observed_at":"2026-08-10T22:50:40.350093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.328789Z","title":"A new design approach of hardware implemen- tation through natural language entry.IET Collaborative Intelligent Manufacturing, 5(4):e12087, 2023","venue":null,"work_id":"9ba05bf5-63c0-4a84-8d56-be0645b552de","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.037050Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:be7e516c81aba89a5aaad7b153a10cc0cb60436b9ef241ffce5f80b5193fbc3a","observation_id":"516f9bec-4186-4f7a-8601-ec345d554ed4","resolution":{"observed_at":"2026-08-10T22:50:40.333689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.041358Z","title":"React: Synergizing reasoning and acting in language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.041358Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:5455a1750b1600ea31b68ba664937cd18b10bf13a03bc4374a4a30b4a1ad31ca","observation_id":"1d9a699d-c2e1-4dd1-8adc-aff370258b6d","resolution":{"observed_at":"2026-08-10T22:50:40.041358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.303449Z","title":"Hdlde- bugger: Streamlining hdl debugging with large language models, 2024","venue":null,"work_id":"82154601-1e90-46f6-85eb-d503f011b4c7","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.045508Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:87de26eef1ecd3e0e49a5450f75443537fa97bee944e42f1c9b8902b7877ed00","observation_id":"e7ceb4d0-e2ed-4ec1-83e5-4ba771c40f8c","resolution":{"observed_at":"2026-08-10T22:50:40.308729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.286312Z","title":"Lumos: Learning agents with unified data, modular design, and open-source llms, 2023","venue":null,"work_id":"f3740fe0-467e-4559-ab74-4a2052593a82","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.049992Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:20df7b659c0ba770471eac04e22008e69dcb3f793e8e9f53e8da4d588199721b","observation_id":"28837a5b-0239-47e8-8f05-1657bcfcaf99","resolution":{"observed_at":"2026-08-10T22:50:40.292044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.269475Z","title":"HDLEval Benchmarking LLMs for Multiple HDLs","venue":null,"work_id":"187f3dd4-f4c2-4aee-8121-ead0132e4aa4","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.054138Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:c4d01a21ef4fa3e7ba99c8d5c4b3f37ed2179c3ed635e25844ac1c954383c209","observation_id":"4877905d-78bd-417c-b093-083db38ca62d","resolution":{"observed_at":"2026-08-10T22:50:40.274332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.251202Z","title":"Self- edit: Fault-awarecodeeditorforcodegeneration","venue":null,"work_id":"89756de9-1e88-404d-b431-0270f03db88c","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.058331Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:cff6ffc2084a14a4f9494adf8558581c0ee264c501b3d6ed962e37a151c95323","observation_id":"7bf6174a-7fdf-4233-b33d-240470dcf9ea","resolution":{"observed_at":"2026-08-10T22:50:40.256250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10144","last_updated":"2024-12-20T06:14:53Z","snapshot_observed_at":"2026-08-13T10:31:05.047765Z","submitted_at":"2023-08-20T03:03:34Z","title":"ExpeL: LLM Agents Are Experiential Learners","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10144","snapshot_observed_at":"2026-08-10T22:50:40.062560Z","title":"Expel: Llm agents are experiential learners","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.062560Z"},"links":{"cited_paper":"/paper/2308.10144","citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:296fc8e7a7a9ba05c8efd31f374b8e5bf7ec88e938a04645bbfee90b0e439c32","observation_id":"eb58194a-13d6-4a9f-b10d-bdeb77f19042","resolution":{"observed_at":"2026-08-10T22:50:40.062560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.235394Z","title":"Verilogcoder: Autonomous verilog coding agents with graph-based planning and abstract syntax tree (ast)-based waveform tracing tool, 2024","venue":null,"work_id":"ceb00a17-9fa3-4c7d-930f-efbb4eaaf3bb","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.066923Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:bae5900f566119df8394ca0e3e31903e4b3115292078b4bf241b5fbadfe52dd5","observation_id":"b5b88bf8-697b-4da6-81e9-ed5c179f64c0","resolution":{"observed_at":"2026-08-10T22:50:40.240408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.219504Z","title":"Can chatgpt replace stack- overflow? a study on robustness and reliability of large language model code generation, 2024","venue":null,"work_id":"81d440c9-f801-4e47-945e-815bf90566a6","year":2024},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.071118Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:eeb5da4c8e6b30ebbd2e36375f55a40b449fedfc5e08c00201d9bdea7003f4c7","observation_id":"5a9a98ad-0f59-489f-a279-da30588322e7","resolution":{"observed_at":"2026-08-10T22:50:40.224742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:50:40.201032Z","title":"Agents: An open-source frame- work for autonomous language agents, 2023","venue":null,"work_id":"bb46993e-561a-40ed-9aec-0e54fda5cbad","year":2023},"citing_paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:50:40.075299Z"},"links":{"citing_paper":"/paper/2501.00642"},"observation_digest":"sha256:7cc975a68e803e2e276feb0f8af1cd85ccf925664b0fcc906870d791a3e717fe","observation_id":"ebad43a3-cc8f-4e14-99fa-b50c43e57479","resolution":{"observed_at":"2026-08-10T22:50:40.207823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.00642","last_updated":"2024-12-31T20:37:20Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-13T16:48:38.103566Z","submitted_at":"2024-12-31T20:37:20Z","title":"Enabling New HDLs with Agents"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"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."}