{"as_of":"2026-08-19T09:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50bc835443562f8048431cf69975bb6774b597ef2be10bacb339a1ddee0a4e6e","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T06:04:29.062153Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2504.19144/citation-record","integrity":"/paper/2504.19144/integrity","json":"/paper/2504.19144/citation-record.json","paper":"/paper/2504.19144"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T06:04:29.934470Z","title":"An agile approach to building risc-v microprocessors,","venue":null,"work_id":"ca9244b8-c155-4195-84d1-14834553efb8","year":2016},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.837489Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:49c2a1b24be047a8488495ac7adaf4c4eff88ce3f3468d0c4bbb576ed1b88f17","observation_id":"7017785a-bf48-4581-9ee9-4cab9a3b4a65","resolution":{"observed_at":"2026-08-16T06:04:29.938713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.921951Z","title":"Creating an agile hardware design flow,","venue":null,"work_id":"487e9adc-6435-4de1-b60f-666a1590d6ce","year":2020},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.842300Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:dde8d1b420938bb93bf59a39af9c2627b2793920df256365c8b1ee123d01dfb2","observation_id":"43849f91-fc7f-4bef-821a-717fff5263d8","resolution":{"observed_at":"2026-08-16T06:04:29.926135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.908750Z","title":"On programming variability with large language model-based assistant,","venue":null,"work_id":"6d2c7634-d314-4c61-bd04-cb62ee58b5c2","year":2023},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.846546Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b4158d77d1d5156f0b3eae72ada04e46f16450fe5bc5e6c0de838149f0608c59","observation_id":"a89aad84-cb93-4b16-90d6-8ab96bf8fe45","resolution":{"observed_at":"2026-08-16T06:04:29.913235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.896180Z","title":"On hardware variability and the relation to software variability,","venue":null,"work_id":"3212a673-ce89-493f-a02c-db347bdf79c8","year":2014},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.851160Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:264e25717c480ebb5018f6d5bd16872b3c1d6edf4a750e855fae82359d03e3e3","observation_id":"09634e7b-9c17-453c-9298-7c0b8f0be23e","resolution":{"observed_at":"2026-08-16T06:04:29.900284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.883385Z","title":"Chisel: Constructing hardware in a scala embedded language,","venue":null,"work_id":"dde75407-7a9f-4054-aee8-75e7b63cb0d5","year":2012},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.855739Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:12e911b2415332edf90fad8e5ec83a61c3cb13bbde904d6b1a5857ace3683b1a","observation_id":"dd1c714c-09cd-45ca-bf12-6ee9e2210796","resolution":{"observed_at":"2026-08-16T06:04:29.887725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.870664Z","title":"SpinalHDL,","venue":null,"work_id":"b4dcea14-3c48-49fd-a60b-c4b54ccebae5","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.860121Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:67c22cb5f99771f8a08d253d61ce289e47d525e1551f688cdcef9704b85845ca","observation_id":"a84867be-0fa0-4320-8268-f4610466294a","resolution":{"observed_at":"2026-08-16T06:04:29.874689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.857986Z","title":"Towards Developing High Performance RISC- V Processors Using Agile Methodology,","venue":null,"work_id":"f0ef27b2-e9a9-4f71-a587-95505b4d3c1e","year":2022},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.864700Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:99db704b3a74f685ad589604868e1722ece50f5ed987db252f1bd16b02875777","observation_id":"ffbe9a00-4e9a-4fa8-8a3c-67feab6acf79","resolution":{"observed_at":"2026-08-16T06:04:29.862154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.845157Z","title":"Chipsalliance/rocket-chip,","venue":null,"work_id":"2ade482e-04e2-4336-91df-f8f3655040b0","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.868604Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:c3bb422534968fe5f8bd39996109ba8680d382ce0ad67f24d01f790af575cec6","observation_id":"9ddf2fc0-e1e9-4076-a378-25ee14b3cd27","resolution":{"observed_at":"2026-08-16T06:04:29.849323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07974","last_updated":"2024-06-06T17:41:21Z","snapshot_observed_at":"2026-08-16T07:05:57.323612Z","submitted_at":"2024-03-12T17:58:04Z","title":"LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07974","snapshot_observed_at":"2026-08-16T06:04:28.872540Z","title":"Livecodebench: Holistic and contamination free evaluation of large language models for code,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.872540Z"},"links":{"cited_paper":"/paper/2403.07974","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:0450021e68a49229bf1a1249967d6a5922a0e06eba20aaffedd62fc770472c00","observation_id":"cd3b14f0-156b-4601-8fd7-2729b5f95483","resolution":{"observed_at":"2026-08-16T06:04:28.872540Z","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":"2026-08-16T06:04:29.832293Z","title":"Revisiting VerilogEval: A year of improvements in large-language models for hardware code generation,","venue":null,"work_id":"86b4959a-17aa-4d2f-ad2a-c3d08b9de4e5","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.877216Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:64c865ade182e03ca14f6e84b586306b63db0367e184b38ecf101def6b86823b","observation_id":"8dd6d8e1-a36e-44f6-a965-8853fb08902f","resolution":{"observed_at":"2026-08-16T06:04:29.836586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.819294Z","title":"Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution,","venue":null,"work_id":"471dd0f1-27d6-4a15-9c2d-091c334878de","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.881204Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:d84d3b275042c48c687e9cb6a370ba0617c4e165996cbc64f71ae75a5643e840","observation_id":"3012e6f3-7dce-4fb9-993a-2dc9e206683d","resolution":{"observed_at":"2026-08-16T06:04:29.823640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:28.885504Z","title":"Chipgpt: How far are we from natural language hardware design,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.885504Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:69602d93a4dc3cb40e177683ece1217503fcf541dc6bb9efcedc6a6f2a898ec2","observation_id":"ed430294-3048-4dbf-895d-29128e05e8bf","resolution":{"observed_at":"2026-08-16T06:04:28.885504Z","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":"2026-08-16T06:04:29.805945Z","title":"Rechisel: Effective automatic chisel code gen- eration by llm with reflection,","venue":null,"work_id":"103b44f1-772d-4876-aef2-808193f68970","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.889466Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:24f002392a2d0c10f888c99cda169afc376e93f4621802db6fcd2cd34455d908","observation_id":"7c733476-b38f-4262-b36f-6439c9e32697","resolution":{"observed_at":"2026-08-16T06:04:29.810574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.793231Z","title":"ChatChisel: Enabling Agile Hardware Design with Large Language Models,","venue":null,"work_id":"99db2814-cff4-4752-824c-174b4e26be8f","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.893494Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:3cd857b12ac89bd0846d98f9f67758ca7db2f51750627dc2e1ffaebe53a82cdf","observation_id":"a9669952-96f5-45e5-a44b-3affd30d33e3","resolution":{"observed_at":"2026-08-16T06:04:29.797414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.780476Z","title":"Introducing OpenAI o1,","venue":null,"work_id":"2079bfd5-ef51-4ce1-8e78-61b9adab6760","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.897427Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:948ef563e9bba1aec5403f1f11e33f797e5ffa9dd4e69202253a728d98e02513","observation_id":"9dd91e1a-9984-498e-a759-918ba092a317","resolution":{"observed_at":"2026-08-16T06:04:29.784489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.767277Z","title":"DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning,","venue":null,"work_id":"b401dac5-42c2-44cd-bbeb-8f508af4245d","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.901358Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:95ca1ea3e4990899f6f9d08e16ba48daa35798d2fa11b0a5938df9a04b223e40","observation_id":"bb15ce1c-35de-4184-b396-1a11ec620c00","resolution":{"observed_at":"2026-08-16T06:04:29.771528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-16T06:04:28.905395Z","title":"Scaling llm test-time compute optimally can be more effective than scaling model parameters,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.905395Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b790502abb4261039020cb7b014b0e3ea06a78bcb112cd300288ebb21136fcf6","observation_id":"dbff614d-1e68-46eb-98f7-a46d00856536","resolution":{"observed_at":"2026-08-16T06:04:28.905395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16838","last_updated":"2024-11-20T17:57:26Z","snapshot_observed_at":"2026-08-16T13:40:02.392308Z","submitted_at":"2024-06-24T17:45:59Z","title":"From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16838","snapshot_observed_at":"2026-08-16T06:04:28.910024Z","title":"From decoding to meta-generation: Inference-time algorithms for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.910024Z"},"links":{"cited_paper":"/paper/2406.16838","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:e201ad6b6c45e74e6efdccf451ea4d9cc27a151b942bfcf7abd78a08fcf5fecc","observation_id":"4c0728a9-2997-44b0-a4b0-80e78bcfb403","resolution":{"observed_at":"2026-08-16T06:04:28.910024Z","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":"2026-08-16T06:04:29.754551Z","title":"O1 tops aider’s new polyglot leaderboard,","venue":null,"work_id":"c429c41e-f61c-4ed9-888d-182e42674e2a","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.914607Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:366c2bfba7c46f5f6404ec8a9783689baab3d254599000d3fef4c96c4bcac148","observation_id":"f151767a-c15c-4e61-ba02-73f25741d732","resolution":{"observed_at":"2026-08-16T06:04:29.758756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.741671Z","title":"S*: Test time scaling for code generation,","venue":null,"work_id":"e8628937-a995-4e82-abb8-72f0d59da7f1","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.918940Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:a071b6c609a83e149ac4a55809b617124b9064a630e27065d5e4421db9f8b627","observation_id":"b060c981-0261-40b9-bdec-ebb14ca4b02f","resolution":{"observed_at":"2026-08-16T06:04:29.745872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-16T06:04:28.927957Z","title":"Qwen2.5-coder technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.927957Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:2b86d1bb9b34e4e5173cdc1b1de9c1d9832d330fc84a3da2cfa4a4d449d114a3","observation_id":"68637fd3-e512-48a3-833e-56ea9b1552d5","resolution":{"observed_at":"2026-08-16T06:04:28.927957Z","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":"8480.12785","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T06:04:29.281827Z","title":"Chip multi-processor generator,","venue":null,"work_id":"358f24b3-784c-4df3-b625-12dab104571b","year":2007},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.932596Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:f0b6988f70b81c66cc154e277633a9f63627d7241982d5548d7ae0ed2e4f0c85","observation_id":"142918b5-3258-499d-ba0a-c8daa4ac7036","resolution":{"observed_at":"2026-08-16T06:04:29.290652Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.728392Z","title":"A pythonic approach for rapid hardware prototyping and instrumentation,","venue":null,"work_id":"2f4551d0-faae-451d-a7e8-ec0103d6b130","year":2017},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.936785Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:eb1e8950d24db6cfa31102a0a46bb05895b89236f7574dfd5c58726e7a1bcad6","observation_id":"e8c4edce-7557-4b96-893c-adf4c9994918","resolution":{"observed_at":"2026-08-16T06:04:29.732763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.715566Z","title":"Motivation of chisel,","venue":null,"work_id":"07711dc6-b107-4578-a3da-949ef8512af6","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.940796Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b80f5d20353c99000ebd5d8d94cbe573aa9c1a45687a8f488004f92a193382a0","observation_id":"aafac4cf-e008-4c92-b3ad-958de1e6bec1","resolution":{"observed_at":"2026-08-16T06:04:29.719842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.702296Z","title":"Riscv-boom/riscv-boom: SonicBOOM: The berkeley out-of-order ma- chine,","venue":null,"work_id":"cb288306-5ce3-423e-a414-b450fc69e6c9","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.944940Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b5fe99080a40943c89b5c978a6d701bcfd95f6332fda0189e07f1e76403f0baf","observation_id":"e5c1b01b-1deb-4bcc-aece-6e077c1fc7a2","resolution":{"observed_at":"2026-08-16T06:04:29.706891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.21321","last_updated":"2025-03-24T09:34:38Z","snapshot_observed_at":"2026-08-16T12:54:10.475592Z","submitted_at":"2025-02-28T18:59:54Z","title":"LLM Post-Training: A Deep Dive into Reasoning Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.21321","snapshot_observed_at":"2026-08-16T06:04:28.949695Z","title":"Llm post-training: A deep dive into reasoning large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.949695Z"},"links":{"cited_paper":"/paper/2502.21321","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:9b0fe9a134887b31b52884d079520544d724e639ece4f8886b740c0e8c7c453a","observation_id":"93f55548-24d1-407d-915d-15ccae6751b2","resolution":{"observed_at":"2026-08-16T06:04:28.949695Z","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":"2026-08-16T06:04:29.689237Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":"b31a25b2-58d4-4958-b1da-6acd786e1877","year":2023},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.954506Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b4ebbcfaeda5099405a9de869943f61d55fe70e0430596e1a519df2992af7cad","observation_id":"5486c9b2-1e5e-4a00-bcb0-46464ae7edbe","resolution":{"observed_at":"2026-08-16T06:04:29.693381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.676752Z","title":"Introducing OpenAI o3 and o4-mini,","venue":null,"work_id":"4f2d33c8-d9ff-4b35-8646-a4dde9ab33a2","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.959197Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:a89913aeaaf2a98395f639a0ac07f785f0e4d21f44e0461ee520205673fd6473","observation_id":"8cb40318-6833-44a8-86f1-248433e2d0df","resolution":{"observed_at":"2026-08-16T06:04:29.680883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.663268Z","title":"Claude 3.7 sonnet and claude code,","venue":null,"work_id":"20ffd76e-0fa5-4679-b075-8dd0f65c5f80","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.963498Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:3d68f5df2f70dbd184c0744779621bb3c4ecca7c7b74e5c9e6f677e8039e639d","observation_id":"0c209693-1644-4f03-b666-7a1c8a761afb","resolution":{"observed_at":"2026-08-16T06:04:29.668035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.650706Z","title":"Gemini 2.5: Our most intelligent AI model,","venue":null,"work_id":"26e0c6c6-2caf-4722-8159-321e59a04b83","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.968073Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:d51cc4a943b41f88cfdddfbe679f80042dd0ab3b34332b0c78cec907bd58418a","observation_id":"73b8cc86-7c74-48ed-aa37-344a7cb9a2ad","resolution":{"observed_at":"2026-08-16T06:04:29.654636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.637865Z","title":"Introducing SWE-bench verified,","venue":null,"work_id":"b11d7ada-29e7-4c71-9954-aead91a1994f","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.971970Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:170509dbd91510c91aaef3ba98e7018c6e036c8eac6946bd001a787621256670","observation_id":"885391fa-4930-4c13-b5f6-092f4dac01e1","resolution":{"observed_at":"2026-08-16T06:04:29.642110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:28.976176Z","title":"On the effectiveness of large language models in domain-specific code generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.976176Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:c3583cf459836849677816c9702d112963815da14cad0dc59db8970509838748","observation_id":"3f1dc596-e385-4e3d-b9db-8bdbe3b5f86a","resolution":{"observed_at":"2026-08-16T06:04:28.976176Z","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":"2026-08-16T06:04:29.624593Z","title":"A survey on LLM-based code generation for low-resource and domain-specific programming languages,","venue":null,"work_id":"e833a07f-a2d8-426d-80a4-ed6f5f826fb4","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.980717Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:1ad23e39f6fa57d7b0d6cfe7e0895e6f68b7ead72c83b375c099c186d253b070","observation_id":"6d9b41e5-b059-45c5-8a64-028370dc98aa","resolution":{"observed_at":"2026-08-16T06:04:29.628899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.610702Z","title":"Manifesto for agile software development,","venue":null,"work_id":"caa48771-6be7-4faf-b676-e0f89dd5328c","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.984566Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:aa028d01dab8ce3db1131546fc036f705f6f12b736a107a1387795f5eb9b5a9c","observation_id":"a069a054-32cc-49ad-ba0e-218f29ea6bc1","resolution":{"observed_at":"2026-08-16T06:04:29.615625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.596863Z","title":"Cortellessa and D","venue":null,"work_id":"44363fbc-cd08-43cb-8f09-6e0180820920","year":2013},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.988724Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:7e224a97d8a8b7f8d2945169c8bd2bc99db75621650080cc98753bbf812b9220","observation_id":"01acf2a9-f808-476d-8182-69e3aec5849f","resolution":{"observed_at":"2026-08-16T06:04:29.601128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.583637Z","title":"(system)verilog to chisel translation for faster hardware design,","venue":null,"work_id":"244da729-821f-443e-81af-99e8e54f6f5f","year":2020},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.992601Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:dd06cc255ac7a62d029691f46fb08fc764c6f54c4654b8a4b224c7fb9b10fc0c","observation_id":"b6a566d0-1def-459a-9354-21e8c998a606","resolution":{"observed_at":"2026-08-16T06:04:29.587962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.570320Z","title":"Towards agile hardware designs with chisel: A network use-case,","venue":null,"work_id":"4b601cf4-3bb1-48da-bc37-42c68bc11028","year":2021},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.996423Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:96cf3d6a3a4e586e92d903bfaaf4d5cbb5581d8a2795f8c8997cb3b7e0289381","observation_id":"8c1b1dc2-2718-4516-87a6-b84cd8b59ebd","resolution":{"observed_at":"2026-08-16T06:04:29.574690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.556134Z","title":"Starcoder 2 and the stack v2: The next generation,","venue":null,"work_id":"40f2dfc3-7ebb-4e60-9dfe-ed3acc588cb3","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.000366Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:b9bea645f9ac01c714be7ef19265e90877cd85ab5d235da364b68e7c4ea812c9","observation_id":"478a862d-9e11-4661-8fb4-64a5eb7b179f","resolution":{"observed_at":"2026-08-16T06:04:29.560518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.540718Z","title":"Ucb-bar/chiseltest,","venue":null,"work_id":"2695d721-87cb-47ef-bc7d-ae200c74a4e8","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.004352Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:6627459b3763d920e3868006571243cbbe0a24aeae8e443bba071069d6f79b75","observation_id":"b354d6a7-bf5d-4883-8483-13a2f4434301","resolution":{"observed_at":"2026-08-16T06:04:29.546654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.526621Z","title":"LIMA: Less is more for alignment,","venue":null,"work_id":"53b6d9a7-d916-40a6-b370-33c05987d94d","year":2023},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.008236Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:278dafdb672a1ab9e114dc6bfc70c81346d5a48d2b5669b7aeb2c053ca8e04a1","observation_id":"149258d3-a9fa-4b2e-9dba-ac2f9e548c20","resolution":{"observed_at":"2026-08-16T06:04:29.531317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.512877Z","title":"Codeforces cots,","venue":null,"work_id":"e7b849ee-e547-4992-ad67-14adf73b0055","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.012196Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:c34e41fd32f00af80cb852baa645039cb6f3f83733d7850a6ca49a6296f1fb72","observation_id":"435998b6-be56-4627-bcfa-fde28a612f8c","resolution":{"observed_at":"2026-08-16T06:04:29.516983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.499279Z","title":"Open thoughts,","venue":null,"work_id":"90e83572-3177-4c22-b40d-ba6d6fc1abd3","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.015973Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:d9babf2f1024fe9c5a0c3124438b24890c0a773a3b3fa1d819e84a5e49b205fc","observation_id":"22418726-c47f-410a-a13a-34e6a1d45061","resolution":{"observed_at":"2026-08-16T06:04:29.503641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13372","last_updated":"2024-06-27T22:44:48Z","snapshot_observed_at":"2026-08-17T02:51:06.474773Z","submitted_at":"2024-03-20T08:08:54Z","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13372","snapshot_observed_at":"2026-08-16T06:04:29.020233Z","title":"Llamafactory: Unified efficient fine-tuning of 100+ language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.020233Z"},"links":{"cited_paper":"/paper/2403.13372","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:e19d272392c5e05ffbd4487cd1122299e4b29c56df6e6573912130472041cc82","observation_id":"d54489ad-a1ce-48cd-bcf0-11241105f4d4","resolution":{"observed_at":"2026-08-16T06:04:29.020233Z","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":"2026-08-16T06:04:29.484715Z","title":"OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation","venue":null,"work_id":"8088b0a6-2387-47a1-bfc5-83bc3113d96f","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.024414Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:3549123ef6f3e2fc3a3d4ec7ccedc508ced7f4f0c164e7fc92519abfa4177a2e","observation_id":"41716b14-ac8c-43ab-b1a4-d4ac4692ed68","resolution":{"observed_at":"2026-08-16T06:04:29.489311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05685","last_updated":"2023-12-24T02:01:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-09T05:55:52Z","title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05685","snapshot_observed_at":"2026-08-16T06:04:29.028521Z","title":"Judging llm-as-a-judge with mt-bench and chatbot arena,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.028521Z"},"links":{"cited_paper":"/paper/2306.05685","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:bb20c92ea17aa2d0d74935a1ac02f3d54962f69c973ddd9ad0cce9b832314d63","observation_id":"05e0cfea-7c8d-40b6-b45b-65d895752f0d","resolution":{"observed_at":"2026-08-16T06:04:29.028521Z","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":"2026-08-16T06:04:29.471362Z","title":"Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering,","venue":null,"work_id":"177aa6d0-a9c0-44c4-ab37-b5e20238158a","year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.033047Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:70933906ebece4d05af5bf05320ae8fdadaf893b2bcce2d075425276f174985a","observation_id":"5d3680a1-0378-4025-9565-150ba6a520c4","resolution":{"observed_at":"2026-08-16T06:04:29.475671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-16T06:04:29.036924Z","title":"Qwen2.5 technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.036924Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:d09da6fa853452e7226259242c4295fe160bc3e74567ee0a3eaa7a28a657c2b3","observation_id":"6f61fbbb-87d5-44cd-9170-72dcd78bf0c1","resolution":{"observed_at":"2026-08-16T06:04:29.036924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T06:04:29.041062Z","title":"The llama 3 herd of models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.041062Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:9ce98f2512e87f15d11664546a7f5481c203b1700a847e491286c89643b0dc93","observation_id":"af223721-93c3-4a02-a38b-d114e4f4e83f","resolution":{"observed_at":"2026-08-16T06:04:29.041062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-18T18:18:37.449517Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-16T06:04:29.045284Z","title":"Deepseek-v3 technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.045284Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:4eb698568b61a88ee402830e6ee24b8e9b7c3735d9153c4196c8c704fc41959c","observation_id":"c404a9c3-d46d-4dce-9762-917a621d739d","resolution":{"observed_at":"2026-08-16T06:04:29.045284Z","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":"2026-08-16T06:04:29.457991Z","title":"Hello GPT-4o,","venue":null,"work_id":"e06c14c9-4b23-4598-93e7-6988ec65e08b","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.049319Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:06c9e60507b5b7ed34da21802b2a8afd5d19ad953b72f2c480321cad13073bef","observation_id":"c617f327-94f8-4250-94f6-0af61279010e","resolution":{"observed_at":"2026-08-16T06:04:29.462275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.444132Z","title":"Huggingface/open-r1: Fully open reproduction of DeepSeek-R1,","venue":null,"work_id":"d247bd34-6fa9-4fd3-a693-e61e1f63ebf0","year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.053719Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:08667fcc75a625aba6cc88bc604a54431bdf6d2773b3cbdba4bdbd78669f2da6","observation_id":"e7b07fca-6a5c-470e-af65-411b5cf34170","resolution":{"observed_at":"2026-08-16T06:04:29.448627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T06:04:29.429512Z","title":"CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization,","venue":null,"work_id":"43bd8b0f-d1fb-4be9-8e42-9289c411a5e0","year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.057911Z"},"links":{"citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:f808494394e7b80c9aa2bbe3784292632c3eb9bfea9b2cb98d525976e4ff9c7c","observation_id":"2493ded0-3a11-4729-98a4-3086340e9660","resolution":{"observed_at":"2026-08-16T06:04:29.434302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03375","last_updated":"2024-05-02T09:18:21Z","snapshot_observed_at":"2026-08-16T21:48:00.089413Z","submitted_at":"2024-02-03T08:00:12Z","title":"BetterV: Controlled Verilog Generation with Discriminative Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03375","snapshot_observed_at":"2026-08-16T06:04:29.062153Z","title":"Betterv: Controlled verilog generation with discriminative guidance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:29.062153Z"},"links":{"cited_paper":"/paper/2402.03375","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:f2875e6e3ea0a1d55be4233948c618284bca93e49d77c33c099799961622ee35","observation_id":"aed11fcb-9c04-4561-a283-a538e0c3d412","resolution":{"observed_at":"2026-08-16T06:04:29.062153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14382","last_updated":"2025-02-20T09:18:53Z","snapshot_observed_at":"2026-08-18T18:36:22.359703Z","submitted_at":"2025-02-20T09:18:53Z","title":"S*: Test Time Scaling for Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14382","snapshot_observed_at":"2026-08-16T06:04:28.923140Z","title":"Available: https://arxiv.org/abs/2502.14382","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:28.923140Z"},"links":{"cited_paper":"/paper/2502.14382","citing_paper":"/paper/2504.19144"},"observation_digest":"sha256:8c60c379f40bb65e3817ea2dae5a70d7c57baff69295f60d7fe2f9d9fb9ba2a2","observation_id":"8cf68497-6c1b-4562-af19-1c155b77d5f6","resolution":{"observed_at":"2026-08-16T06:04:28.923140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.19144","last_updated":"2025-04-27T07:56:49Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T18:36:49.775746Z","submitted_at":"2025-04-27T07:56:49Z","title":"ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":39},"total_outbound_references":54},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2504.19144."}