Pith. sign in

Paper Citation Record · LEDGER

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization

As of 17 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.02434.

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

pith.paper-citation-record.v1
2606.02434 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:15:23.646617Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c59676f3-fe56-417e-865f-157715cfeafb · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization High-resolution image synthesis with latent diffusion models,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:2f565fd54ec7b3f24c87d2f53bb8272d848490b745a8768f14f8f1ee190c2ebe

Observation 9e593f3d-c366-4123-b05b-68432dbaa7f2 · outbound

This paper cites Generative adversarial nets,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Generative adversarial nets,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:e66820fec542d042040cba1b78e098c94a60b78accb70a1d72e8f30a64734650

Observation 81b940a9-b353-464b-a011-af67bb056e25 · outbound

This paper cites ChartCoder: Advancing multimodal large lan- guage model for chart-to-code generation,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization ChartCoder: Advancing multimodal large lan- guage model for chart-to-code generation,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:76e31580da4cf5dffcabee0386898d6b6b2ac057b89d27bace5f399e91d8d1e1

Observation 1bc81dd1-b27c-414c-b3bc-cce1ffb2900f · outbound

This paper cites pix2code: Generating code from a graphical user interface screenshot,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization pix2code: Generating code from a graphical user interface screenshot,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:c00f1fbe01e3618e5a2beedc779a77f81423d580f818072536efe3b408fbbfe1

Observation 29286887-a470-4be7-b693-8a13a96ef3af · outbound

This paper cites Im2Vec: Synthesizing vector graphics without vector supervision,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Im2Vec: Synthesizing vector graphics without vector supervision,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:b3f4b75a53df4f1fa91ccccea10eff69bacb5f982497950ff258598855fb4ff1

Observation 2a66186a-41f2-4649-8877-d3200245f6c8 · outbound

This paper cites Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:22.219684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:828408a231e4ecd26e7a8fda667cc4d880dd37bb656424928f870506efcf1bd6

Observation c0eff089-44c4-4c5b-a476-a801a2341c18 · outbound

This paper cites Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:22.213838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:f457154ad764b4d023e3b5025f70acc6617f09e389e06283f63b325193ff4a23

Observation d7f45e2b-20b2-410c-a2f7-2790b2b1a609 · outbound

This paper cites Document image binarization with fully convolutional neural networks,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Document image binarization with fully convolutional neural networks,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:1e12a2d4ee0c8dda8082d44f9882733ffa18826e3f2eec244c4459a105bdfcdf

Observation 2542b485-87f8-477f-9ddc-7793aacbf3b8 · outbound

This paper cites Qwen3-VL Technical Report.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Qwen3-VL Technical Report

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:36:22.220166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:18cb5c1e7187f28499f8acc1837ea9c89422aebd12c7c6f098c4090d0d48ca44

Observation a9b572d3-e6d1-4821-bb85-59e3a39c05e6 · outbound

This paper cites Application of advanced image processing techniques to automatic kikuchi lines detection,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Application of advanced image processing techniques to automatic kikuchi lines detection,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:2ddee6c77eb57ffcfcb4681f2c3ca64b048b6a17bf7125b726bd24876548ec93

Observation 5a66750e-6130-4862-a461-7055d8314f3d · outbound

This paper cites Joint anomaly detection and inpainting for mi- croscopy images via deep self-supervised learning,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Joint anomaly detection and inpainting for mi- croscopy images via deep self-supervised learning,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:b07a6766df67a07b091ab1e43192408bf40c77ace7e8ea5e287706baad71a292

Observation 12ea3c67-2476-4bdb-9ba7-d3dbee9819c0 · outbound

This paper cites What is a good evaluation measure for semantic segmentation?,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization What is a good evaluation measure for semantic segmentation?,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:cb39305aee72330fc7251168dff8480f131aee102330b88bfa36502bba282cf9

Observation 59266b25-12d2-4b90-a9a0-81262c84b8e1 · outbound

This paper cites Boundary enhanced semantic segmentation for high resolution electron microscope images,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization Boundary enhanced semantic segmentation for high resolution electron microscope images,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:ee83bae60130657b59bbb2127d4738098eeded0c651801863495e7ce5f8a2545

Observation 1c0980b6-8ab4-4b3c-9f43-2e902d55f755 · outbound

This paper cites RoadTracer: Automatic extraction of road networks from aerial images,.

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization RoadTracer: Automatic extraction of road networks from aerial images,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T14:15:23.646617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:15:23.646617Z digest=sha256:f208a3469035af30a85778c7ae827ccf9d3671e6ff5a85d58283a94b88819ce8

Pith citing papers

No inbound Pith citation observations are available.