Paper Citation Record · LEDGER

Can Large Language Models Understand Symbolic Graphics Programs?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2408.08313.

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

pith.paper-citation-record.v1
2408.08313 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:50.464432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:48:35.116154Z

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 f87a4fc6-b8df-4c7a-baf2-a5f1f354a51e · inbound

CAD-Recode: Reverse Engineering CAD Code from Point Clouds cites this paper.

CAD-Recode: Reverse Engineering CAD Code from Point Clouds Can Large Language Models Understand Symbolic Graphics Programs?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T12:37:18.310966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2036e4ce-7f4b-449c-b3c9-c7b37baae640 · inbound

ChatGarment: Garment Estimation, Generation and Editing via Large Language Models cites this paper.

ChatGarment: Garment Estimation, Generation and Editing via Large Language Models Can Large Language Models Understand Symbolic Graphics Programs?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:16.541727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2149ae-98d0-45f6-b3c3-47e808d21799 · inbound

Software Testing for Extended Reality Applications: A Systematic Mapping Study cites this paper.

Software Testing for Extended Reality Applications: A Systematic Mapping Study Can Large Language Models Understand Symbolic Graphics Programs?

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:38.028889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b808be-f390-43f4-b00c-c0603aa4919f · inbound

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies cites this paper.

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies Can Large Language Models Understand Symbolic Graphics Programs?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T16:14:52.069388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e31e24-6c7b-4d18-97a0-9414c0a486d5 · inbound

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation cites this paper.

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation Can Large Language Models Understand Symbolic Graphics Programs?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T23:32:50.464432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d440b79-4e4e-4ff3-a526-362cabbd71c8 · inbound

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation cites this paper.

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation Can Large Language Models Understand Symbolic Graphics Programs?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:11:54.640127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5896bee-77f4-446b-a0f0-1376834f7baa · inbound

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs cites this paper.

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs Can Large Language Models Understand Symbolic Graphics Programs?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:55.776114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da0100f-2fca-47a0-9b8e-424868692dbc · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Can Large Language Models Understand Symbolic Graphics Programs?

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:59.239889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e04dd7be-5a97-47a0-89e2-8817289af4fd · inbound

BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning cites this paper.

BrepCoder: A Unified Multimodal Large Language Model for Multi-task B-rep Reasoning Can Large Language Models Understand Symbolic Graphics Programs?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T20:55:10.004501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40711a87-a2a8-4f7b-b9c1-faefd8536faa · inbound

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

CodePercept: Code-Grounded Visual STEM Perception for MLLMs Can Large Language Models Understand Symbolic Graphics Programs?

Reference 35

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f681d8-204c-45a0-b9aa-4e86fa404f4b · inbound

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval cites this paper.

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval Can Large Language Models Understand Symbolic Graphics Programs?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.501995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58b1db78-6914-4ab2-bc87-f59313bc2305 · inbound

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing cites this paper.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Can Large Language Models Understand Symbolic Graphics Programs?

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:48:35.117528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a6d68b7-8fcd-4d4c-8e81-ccb027d6ac09 · inbound

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges cites this paper.

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges Can Large Language Models Understand Symbolic Graphics Programs?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T15:37:54.843886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.