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Paper Citation Record · LEDGER

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.07239.

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

pith.paper-citation-record.v1
2506.07239 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:47.131973Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:43:44.174797Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T11:45:21.407360Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca9604e5-89a3-46ea-be12-ce10b1d8fbae · outbound

This paper cites Annotating slack directly on your verilog: Fine-grained rtl timing evaluation for early optimization,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Annotating slack directly on your verilog: Fine-grained rtl timing evaluation for early optimization,

Reference 1

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raw_fallback, observed 2026-08-07T05:43:48.387800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c01e3042-2591-4549-8522-fefec9f0779c · outbound

This paper cites Applying gnns to timing estimation at rtl : (invited paper),.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Applying gnns to timing estimation at rtl : (invited paper),

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T05:44:00.717682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:38.634737Z digest=sha256:2b132cca3eef655f473ba3b993717c8d7fb9e000badbef4233e0190ce72e3b82

Observation 29bf98a8-87be-42d4-a755-a9854b413637 · outbound

This paper cites Using graph neural networks for timing esti- mations of rtl intermediate representations,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Using graph neural networks for timing esti- mations of rtl intermediate representations,

Reference 3

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raw_fallback, observed 2026-08-07T05:44:00.383102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:38.800211Z digest=sha256:6688e754108d2887ea94c07f3bb2e32a3ce14b5d03a3818399c022497effdfa6

Observation a0839ece-d66f-42d2-abb8-4ef9c0ee9214 · outbound

This paper cites Masterrtl: A pre-synthesis ppa estimation framework for any rtl design,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Masterrtl: A pre-synthesis ppa estimation framework for any rtl design,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T05:44:00.025452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:38.939429Z digest=sha256:4bf15e6067ee8031d7e539cdcecce91e0297cda91cb053de82511b57c97c366d

Observation c5d7b5cc-e035-4009-8cc2-f88743ef3d90 · outbound

This paper cites Preplacement net length and timing estimation by customized graph neural network,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Preplacement net length and timing estimation by customized graph neural network,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:59.752970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.103565Z digest=sha256:bcfc2e83eb857d61772980d893a184586790f6d3d9256b2e040a1f4520c59491

Observation d9b70027-2731-4a7d-ab69-899ff4abd19e · outbound

This paper cites Drills: Deep reinforcement learning for logic synthesis,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Drills: Deep reinforcement learning for logic synthesis,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:59.437704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.313125Z digest=sha256:89b5ce4cb7c2e4cc9909f414c63a81cfde2854a1d3d60fab1257a0de5c7edb22

Observation 9df7a1df-cc91-48dc-99b9-fa7562dd3563 · outbound

This paper cites Exploring logic optimizations with reinforcement learning and graph convolutional network,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Exploring logic optimizations with reinforcement learning and graph convolutional network,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:59.075543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.430420Z digest=sha256:a0b9d98a6e3db556233adfccc5d0255990a5cf10acd9d3f2d61fc47b3bc3a102

Observation 98368358-6d6b-4d59-b8d4-346aa6949daa · outbound

This paper cites Rl-guided runtime-constrained heuristic exploration for logic synthesis,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Rl-guided runtime-constrained heuristic exploration for logic synthesis,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:58.784232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.502299Z digest=sha256:d0088434cad6a56f0cca88dc90fc2b4b961876d2f17a926f55ffff4dfd8d2006

Observation d015317d-9cae-4a20-a01b-60493eb1b23d · outbound

This paper cites Bulls-eye: Active few-shot learning guided logic synthesis,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Bulls-eye: Active few-shot learning guided logic synthesis,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:58.356522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.584298Z digest=sha256:586ef184512d55065071935c3f74900b679fccac9a20c275244f17f9bd955045

Observation 8b563af6-9d45-47a5-816e-995250eb23fe · outbound

This paper cites Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization

Reference 10

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verified exact
local_arxiv, observed 2026-08-07T05:43:48.053257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:39.681846Z digest=sha256:eb81a34715d7ca7c338bffbd8d7edf79ef79a5b03c4876912d738a08318531aa

Observation fa89036a-12d0-4c6a-b0b2-0c95755b4fc3 · outbound

This paper cites The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation

Reference 11

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no resolver link, observed 2026-08-07T05:43:39.792235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:39.792235Z digest=sha256:076a32acc29a95a8030d1684920ed1c71a2ef1e02244389d7acaea7e272ce509

Observation cc9738bb-65f3-4a57-9404-f90b21f8ae76 · outbound

This paper cites CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:39.926269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:39.926269Z digest=sha256:13ad46ea5c4b935584edab567d09bd654cbd8f717d9440e98ed077ee92f910a1

Observation 80b3ae2a-b8c5-4c08-b79e-b779afd0bffb · outbound

This paper cites Rome was not built in a single step: Hierarchical prompting for llm-based chip design,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Rome was not built in a single step: Hierarchical prompting for llm-based chip design,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T05:43:40.243901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:40.243901Z digest=sha256:97c6a43def647d9b2cbe132599044b04cb0f2145247773b139a28f90d732ad35

Observation ab40591d-d683-4c56-bf2c-45a6aee65fe5 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 15

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unresolved
no resolver link, observed 2026-08-07T05:43:40.436145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:40.436145Z digest=sha256:e7cdc80aa5d6cbe6a52f010b7635862571e4a2bc53c94d8ed30c694c0123a2d1

Observation a23c5dfa-1855-4fc8-94f4-4ec6bf34d94b · outbound

This paper cites Beyond decoder-only: Large language models can be good encoders for machine translation,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Beyond decoder-only: Large language models can be good encoders for machine translation,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:57.726282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:40.582072Z digest=sha256:cc5e861a1100ecd47635aa3c2280f64f8312fe59cb4bbabe73ab824caefc70dc

Observation 4f0311ce-df2e-4d65-bf96-0d11cd65038f · outbound

This paper cites Synopsys rtl architect,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Synopsys rtl architect,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:58.048592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:40.824616Z digest=sha256:fadb3f73f91ded4cdb032009a52614c934c1e22acb52d299ae1143e31e3d03e3

Observation 625aa1a7-2edf-46b7-bb82-23797d9db8ef · outbound

This paper cites Openabc-d: A large-scale dataset for machine learning guided integrated circuit synthesis,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Openabc-d: A large-scale dataset for machine learning guided integrated circuit synthesis,

Reference 18

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raw_fallback, observed 2026-08-07T05:43:57.337690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.024912Z digest=sha256:0d8598034c3203632a26e2bc8fb19eca418704829e4cb450be1c9e7064a53124

Observation 39f2769b-c1d2-4640-9682-0696f5b6b57e · outbound

This paper cites Xgboost: A scalable tree boosting system,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Xgboost: A scalable tree boosting system,

Reference 19

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no resolver link, observed 2026-08-07T05:43:41.181456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:41.181456Z digest=sha256:25e58865da47bd388a206c9292933a8f6dbda5e2f001283f9204616ee1a580b1

Observation 163317fb-3405-4823-90bb-44b5012327aa · outbound

This paper cites Lightgbm: a highly efficient gradient boosting decision tree,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Lightgbm: a highly efficient gradient boosting decision tree,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:57.009577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.301350Z digest=sha256:93626255a2c76b854c9430376973571fa8b6151575cae8e462b2fbcb646ea916

Observation e59c3238-001f-4e2c-84cf-599461a6b5a4 · outbound

This paper cites an unresolved cited work.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-07T05:43:56.639230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.471871Z digest=sha256:59091a4b759e839265df88acfda820dda6c5207e30293fcc3b2951f481d5bece

Observation ecd99a03-d8b1-46c9-aec6-fdbfd2fef180 · outbound

This paper cites A simplr method for routability-driven placement,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code A simplr method for routability-driven placement,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:56.323818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.567857Z digest=sha256:114977900ecb3a397fde98b65e3c46019136a7bc82c8a042104188cfb02608ca

Observation 6461d995-7aaa-46f2-bb4c-31dc58271bfd · outbound

This paper cites Ripple 2.0: High quality routability-driven placement via global router integration,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Ripple 2.0: High quality routability-driven placement via global router integration,

Reference 23

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raw_fallback, observed 2026-08-07T05:43:55.951619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.785600Z digest=sha256:4d97a0de46128ac111c041a960f77044a28b010dc9e1b8b5bb3950648796ec2c

Observation e491e76a-8ff2-4c88-8b96-e696efac6543 · outbound

This paper cites Optimization of placement solutions for routability,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Optimization of placement solutions for routability,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:55.488249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:41.897718Z digest=sha256:03a4550dd9309c0a9d9c25c28f22f4582a27a27afae23297f53a9f9173137682

Observation ae8bcd75-0de1-407d-81df-11949cb2d9f6 · outbound

This paper cites Ntuplace4dr: A detailed-routing-driven placer for mixed-size circuit designs with technology and region constraints,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Ntuplace4dr: A detailed-routing-driven placer for mixed-size circuit designs with technology and region constraints,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:55.181974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.072024Z digest=sha256:a130e6be8c668467cbb852be912b8687247ce926b6d912687d816c08a9a0593c

Observation 67285d2b-dd54-4156-ac8f-a5fd0b12bc23 · outbound

This paper cites Fast and accurate routing demand estimation for efficient routability-driven placement,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Fast and accurate routing demand estimation for efficient routability-driven placement,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:54.847290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.248056Z digest=sha256:4d34f7f78b74891c847fce7c97b298011d927c5a7a6adbce82e95c57d0dab298

Observation 9470bb40-7abd-4527-b2e9-45a34e773139 · outbound

This paper cites Glare: Global and local wiring aware routability evaluation,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Glare: Global and local wiring aware routability evaluation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:54.454382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.369315Z digest=sha256:868939038e8814f9c007bb0df07a10f5296385ad26224e25f230e0ec5785d546

Observation 38f3b937-f571-4d56-a87e-c5cca332e541 · outbound

This paper cites Ripple: A robust and effective routability-driven placer,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Ripple: A robust and effective routability-driven placer,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:54.101049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.509134Z digest=sha256:16121c8a52cc9f9486fb9382f5962d98d4c7409985c0750eabfbc958b46d577d

Observation c5dc98ca-914c-4e87-ac5a-05d299a83137 · outbound

This paper cites Routability- driven global placer target on removing global and local congestion for vlsi designs,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Routability- driven global placer target on removing global and local congestion for vlsi designs,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:53.749584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.669187Z digest=sha256:28fcfcb9f4055f8a4b1f1f7025a74b112eeb7b49ba5f1dc9b4f66784d6a2f70a

Observation 05fd42cf-fcc7-44a5-8faa-67b4e950e613 · outbound

This paper cites Routenet: Routability prediction for mixed-size designs using convolutional neural network,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Routenet: Routability prediction for mixed-size designs using convolutional neural network,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:53.377017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.793454Z digest=sha256:d677ad52eb8f98793f442d28d5bb8c1d443b0984c2f6ad8fce6be1f5d4126a28

Observation 5e8d71eb-12df-428e-b3ce-6ac7f061ab53 · outbound

This paper cites Mitigating distribution shift for congestion optimization in global placement,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Mitigating distribution shift for congestion optimization in global placement,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:53.024176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:42.987853Z digest=sha256:cf2fa666c86a4b10b12df9ca07a120064c94e38fc46c334be98fde1a5f07e8a6

Observation ce108ff1-35c2-423a-8996-561124c589a8 · outbound

This paper cites Versatile multi-stage graph neural network for circuit representation,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Versatile multi-stage graph neural network for circuit representation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:52.673342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:43.118559Z digest=sha256:023b8fb4792670e0b135d4cbc16ff4da1043785aa1384977610cd6e40005979d

Observation 969d8c63-f9ba-4c80-aa00-04fa947fb9eb · outbound

This paper cites Congestionnet: Routing congestion prediction using deep graph neural networks,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Congestionnet: Routing congestion prediction using deep graph neural networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:52.348374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:43.255945Z digest=sha256:41a14fc86005c17eaa9c6edf1e7e776338741bf574a3fa272c0bdd4f2296803a

Observation 2f06d7d7-1d64-4ba4-824c-5ec6b3d98d5c · outbound

This paper cites Lhnn: lattice hypergraph neural network for vlsi congestion prediction,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Lhnn: lattice hypergraph neural network for vlsi congestion prediction,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:43.425134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:43.425134Z digest=sha256:57cb1498c945a00b06a3f4296ed717801b4b736652770cdc783fbdc651128844

Observation 561d0abf-2f08-4a5b-8c06-f4e048981020 · outbound

This paper cites Generalizable cross-graph embedding for gnn-based congestion prediction,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Generalizable cross-graph embedding for gnn-based congestion prediction,

Reference 35

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no resolver link, observed 2026-08-07T05:43:43.568218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:43.568218Z digest=sha256:d969a5fe320c46f9cac5ef719796290175d3245235bc0b54a720c68638168e21

Observation edddf0ce-a28d-49b9-8cfd-cb27c9bbf6b0 · outbound

This paper cites Lay-net: Grafting netlist knowledge on layout-based congestion prediction,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Lay-net: Grafting netlist knowledge on layout-based congestion prediction,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:52.057288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:43.723962Z digest=sha256:5008d8e31d13c85fc9a20ad89e1d58dab01c5c0858fadd2acc299dee1f47a626

Observation f5172705-8968-4c14-9bef-b02ae830e02d · outbound

This paper cites Pin accessibility and routing congestion aware DRC hotspot prediction using graph neural network and u-net,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Pin accessibility and routing congestion aware DRC hotspot prediction using graph neural network and u-net,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.783875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:43.805017Z digest=sha256:b38c921d87a794be591dc6fbe09e776c0cbb32d5897c98019fe8941e6f5e0567

Observation 5102caaa-c69f-4166-836c-b7a87170b3b7 · outbound

This paper cites A timing engine inspired graph neural network model for pre-routing slack prediction,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code A timing engine inspired graph neural network model for pre-routing slack prediction,

Reference 38

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unresolved
no resolver link, observed 2026-08-07T05:43:43.943475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:43.943475Z digest=sha256:8be48b6557fe96a5eaa86c7e82da078028c086bd5b1b7d510c1c167a7689655f

Observation d2374753-253e-448b-a45f-b3752e8f8b74 · outbound

This paper cites Tf-predictor: Transformer-based prerouting path delay prediction framework,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Tf-predictor: Transformer-based prerouting path delay prediction framework,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.456217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:44.062459Z digest=sha256:1b7b25d6fd8b6bf88f8e3cff5cf0fe18ed324bf84b6b8cf95c40c155de865a76

Observation 40d88bad-3c1e-4093-a89c-048752fe2102 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Evaluating Large Language Models Trained on Code

Reference 40

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unresolved
no resolver link, observed 2026-08-07T05:43:44.200813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:44.200813Z digest=sha256:a10ece37ea4725c873e7bdf959a197f6226d266d8cc02db7631cfe0924d77849

Observation ea2d9f03-59de-4262-9dd0-7ee4ce7ddd92 · outbound

This paper cites CodeBERT: A pre-trained model for programming and natural languages,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code CodeBERT: A pre-trained model for programming and natural languages,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.086503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:44.348759Z digest=sha256:272e26cb100057eb6d171db7367d14a1999961298259cf40f0854d68b9fdc2bc

Observation 18a4aabb-1ff9-4e11-8b42-9197adede3bc · outbound

This paper cites Graphcode{bert}: Pre-training code representations with data flow,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Graphcode{bert}: Pre-training code representations with data flow,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.816697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:44.525012Z digest=sha256:0badfd553a6e1caa25490a63131a4b43365ba7c56d682267fcfcd5973debca01

Observation d15e69a7-9b48-4253-8334-26c30722dd62 · outbound

This paper cites Inferfix: End-to-end program repair with llms,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Inferfix: End-to-end program repair with llms,

Reference 43

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unresolved
no resolver link, observed 2026-08-07T05:43:44.679950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:44.679950Z digest=sha256:67446f2e480437e9003d61d6a68d822c3f7c33cbd14cd883df7cf14ccfc1c844

Observation cd11d782-d712-4988-84e9-8ed70f28e807 · outbound

This paper cites Enhancing static analysis for practical bug detection: An llm-integrated approach,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Enhancing static analysis for practical bug detection: An llm-integrated approach,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.527287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:44.866582Z digest=sha256:ffd701db72333794cd6596fe4cfb0ebad737ad4811c6d2062dda46de30081ff1

Observation 0d461749-b714-4e0a-acb5-bae527446eb8 · outbound

This paper cites LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:45.021276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:45.021276Z digest=sha256:8adcf84ba29cc80b28c9529f32c05cfd5208b7fe0d4fa497241a79a40916f7e1

Observation 3aecd6ac-9ad6-4ea0-a653-be4207954e27 · outbound

This paper cites Sanitizing large language models in bug detection with data-flow,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Sanitizing large language models in bug detection with data-flow,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.258469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:45.206148Z digest=sha256:2c78db042fd962245f82571642d4f79336d710a464d2da451d0355102812b0b3

Observation 1c3ad301-62a9-4c24-bff8-a50355552c6d · outbound

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

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Verigen: A large language model for verilog code generation,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:45.332316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:45.332316Z digest=sha256:d2da23bd9d8f5a9e1278c3f637a72e968efcf863820246e5e33b0f59e08b8a8e

Observation 8f07c259-ba52-4803-89c9-4c4623854bd6 · outbound

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

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.954238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:45.491789Z digest=sha256:8f46222eb28a86b8e3812cd2563152a43bdb4e7bb1fa5c94ea0475ae6b240f32

Observation b89db61c-a286-4337-9599-cdc713bc6500 · outbound

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

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code VerilogEval: Evaluating Large Language Models for Verilog Code Generation

Reference 49

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unresolved
no resolver link, observed 2026-08-07T05:43:45.594753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:45.594753Z digest=sha256:6d21247bfeebf0ebb0beb7c7e1ab2a8ab3da06b5e1152a33aeb61cea2033744a

Observation 18690668-f321-491f-b41d-112a897f1451 · outbound

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

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Rtllm: An open-source benchmark for design rtl generation with large language model,

Reference 50

Resolution
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no resolver link, observed 2026-08-07T05:43:45.714803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:45.714803Z digest=sha256:9fef16ef904636aa76ef6666eb8b6f5c65250c972606d3c7ded53b96640704f4

Observation 520549f3-3cdb-4526-b9ef-f95cbc7af926 · outbound

This paper cites CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 51

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no resolver link, observed 2026-08-07T05:43:45.891832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:45.891832Z digest=sha256:d2ff3d369071b73723f6c87444d46e92d035cd341b9f2859bff03b4aa12a6cf6

Observation 0ebcd8fe-4626-43d9-af93-d80955b6b5c1 · outbound

This paper cites BetterV: Controlled verilog generation with discriminative guidance,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code BetterV: Controlled verilog generation with discriminative guidance,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.620290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:46.075843Z digest=sha256:ead1a966d76bd51ef2c682550619425b48138fec7de7744a9349d8fa9b52ecfe

Observation 8db082dd-76ef-4d61-a987-ff36c8bf4fee · outbound

This paper cites RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code RTLRewriter: Methodologies for Large Models aided RTL Code Optimization

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:46.257689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:46.257689Z digest=sha256:744d81e59e2059116b03778631afe775409f9d17fa3e43d2ac5b38ea81fe6cc0

Observation f0cfc682-a175-4141-8ba5-2ec547077db0 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:46.420460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:46.420460Z digest=sha256:0ccbaee9ef4914a5345845c425e63abac417ae05df89ba51de47399d56436e5c

Observation 9befa78a-8a1f-4089-97eb-aa0905c9e9c9 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Lightgbm: A highly efficient gradient boosting decision tree,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:46.537219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:46.537219Z digest=sha256:a3fce52d36ec238644381683442274f08b9e9d8b4479134fce06438f56ffa467

Observation 74680d23-a360-4393-a67f-f3ee0a486955 · outbound

This paper cites When do neural nets outperform boosted trees on tabular data?.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code When do neural nets outperform boosted trees on tabular data?

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.316707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:46.693377Z digest=sha256:681138963fc864b6fe796f959023bdd1492f550f1323af24700e692d9110c0e4

Observation d6b0e4c6-02ba-4bea-a6ad-81f3190c36b4 · outbound

This paper cites an unresolved cited work.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:43:48.998845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:46.799649Z digest=sha256:0e9ff54ed5a7ad423ed518617e16d767d79e475d3f5b51cc42aed94c64fc5de0

Observation decc694c-0748-4d53-b1fc-e1049b1cb1dc · outbound

This paper cites Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:43:47.418464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:46.981907Z digest=sha256:bf442bd19380a7ea29823e2a0cb346c45531a87266c67c156164f958700919e6

Observation 3bea77e5-33b7-49d5-92c8-1a97e1ed270a · outbound

This paper cites Automated concatenation of embeddings for structured prediction,.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Automated concatenation of embeddings for structured prediction,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:48.664969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:43:47.131973Z digest=sha256:7fabf722f66d101cc7635ea18405bb9f6a54ff1c336520822b9d99c523b7d1a5

Observation 0ee97ad5-331a-4129-a39e-8065775dce87 · outbound

This paper cites Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:40.696475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:40.696475Z digest=sha256:c985139981745b4d96d0a7f824a87df1143cc820b2f3038ae0ce9e15cc21a2c3

Pith citing papers

Observation 60820d40-6652-4913-a2d9-8370a89a86e4 · inbound

VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog cites this paper.

VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.410136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:43:44.174797Z digest=sha256:ce230c8dd2a1b4eecde286f1678bf771477555ed7c2f7d1821d87a4601be89a2