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Paper Citation Record · LEDGER

Advancing vision-language models in front-end development via data synthesis

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.01619.

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

pith.paper-citation-record.v1
2503.01619 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:29:09.068865Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T11:14:55.155420Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3d5750c4-efd0-41a0-a388-1f1ff71fd9a1 · inbound

CodePercept: Code-Grounded Visual STEM Perception for MLLMs cites this paper.

CodePercept: Code-Grounded Visual STEM Perception for MLLMs Advancing vision-language models in front-end development via data synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T23:22:13.847876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T23:22:13.847876Z digest=sha256:0614846975c00056e0e8121bfa827e26771d0fa10d0906b7feb2406713b24584

Observation 476c6305-96d2-466e-aac0-17f79454947a · inbound

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents cites this paper.

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents Advancing vision-language models in front-end development via data synthesis

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:46:26.242458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T13:49:49.730666Z digest=sha256:8d15d5e98604aa399edf3e1ed2f399d4d971d88ec9e732131d997e8da5e5d764

Observation da6667eb-8204-4192-8ae2-71880cb8c97b · inbound

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents cites this paper.

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents Advancing vision-language models in front-end development via data synthesis

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:21.426117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T03:26:08.650099Z digest=sha256:2417019f47d25e0a8cf2b490d0011bd287421beaa55a02576ea64ccdd6ed7039

Observation 583f0bc7-6720-470c-bd68-ca9fa9f61f47 · inbound

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents cites this paper.

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents Advancing vision-language models in front-end development via data synthesis

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:32:30.478163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T07:28:45.811192Z digest=sha256:fe57f4dd7f15044cffa7b71f546f42dfaf238fd9712c0304ac887aa80325545c

Observation f791c16f-7991-4145-b9f1-ed00e195e471 · inbound

UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation cites this paper.

UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation Advancing vision-language models in front-end development via data synthesis

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T11:14:55.157919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-08T11:06:24.207433Z digest=sha256:57f2c3d17491a0d3c528abb07772dfd8c7c291459a5ff815b1c21e96943e4617

Observation 058d0f09-92b1-4fb7-a294-2207015ccb66 · inbound

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents cites this paper.

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents Advancing vision-language models in front-end development via data synthesis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T18:11:57.328467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T18:11:57.328467Z digest=sha256:2eeac191d95a014f963663cd24c17b5c345f3e94f54fad5f90bd611adf94e874

Observation e6efdafa-ddac-4b0e-b7a3-619f8a91e288 · inbound

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification cites this paper.

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification Advancing vision-language models in front-end development via data synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T14:08:11.179287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T14:08:11.179287Z digest=sha256:165d5a2629e56bb96e68d32cce3477058632b91360e41aafee2431a78f068a52

Observation 94b8eeec-8f53-4637-95bf-8a44e54a9879 · inbound

MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized Modification cites this paper.

MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized Modification Advancing vision-language models in front-end development via data synthesis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T18:29:09.068865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:29:09.068865Z digest=sha256:b5b720d611f279ac4904663ec9ee40184f6d0395043cd799b1118fb9fe52bd3b