Paper Citation Record · LEDGER

BrepLLM: Enabling Large Language Models to Understand Boundary Representations

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2512.16413.

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

pith.paper-citation-record.v1
2512.16413 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:37:21.746869Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:55:09.818614Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c1a653b-e98e-4d41-8ca6-acf5389530f2 · outbound

This paper cites Phi-2: The surprising power of small language models, 2023.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Phi-2: The surprising power of small language models, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:19.636053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89aebcec-691f-42a1-912b-12deecce327a · outbound

This paper cites Query2CAD: Generating CAD models using natural language queries.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Query2CAD: Generating CAD models using natural language queries

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:19.716950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2772d65d-750f-4eef-8e26-37cfc4b0a10b · outbound

This paper cites Text2shape: Generating shapes from natural language by learning joint embeddings.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Text2shape: Generating shapes from natural language by learning joint embeddings

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:19.863650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e796e6a2-178e-4587-b848-5e1a5bb318e3 · outbound

This paper cites An investigation on utilizing large language model for in- dustrial computer-aided design automation.Procedia CIRP, 128:221–226, 2024.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations An investigation on utilizing large language model for in- dustrial computer-aided design automation.Procedia CIRP, 128:221–226, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:19.967713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe99df47-86ad-4627-a0ff-fb3d15b08884 · outbound

This paper cites A Solver-Aided Hierarchical Language for LLM-Driven CAD Design.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations A Solver-Aided Hierarchical Language for LLM-Driven CAD Design

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.083481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80064c85-904f-45d6-b922-13e3714a0306 · outbound

This paper cites Text2cad: Generating sequential cad designs from beginner- to-expert level text prompts.Advances in Neural Information Processing Systems, 37:7552–7579, 2024.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Text2cad: Generating sequential cad designs from beginner- to-expert level text prompts.Advances in Neural Information Processing Systems, 37:7552–7579, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.171552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3be2a57-c51f-4003-8361-00e2d681c6c0 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.281619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05f214c-2ad7-4e43-a385-cc7fc082d6d7 · outbound

This paper cites Llm4cad: Multi-modal large language models for 3d computer-aided design generation.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Llm4cad: Multi-modal large language models for 3d computer-aided design generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.394352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830b595b-cb50-498b-a9c2-2ded29214a7f · outbound

This paper cites CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.477779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e52c526-9977-469f-bc56-db09b73b243b · outbound

This paper cites Shapellm: Universal 3d object understanding for embodied interaction,.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Shapellm: Universal 3d object understanding for embodied interaction,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.555500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cdc62b-110a-4cf3-8d7b-aa047f427405 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Learning transferable visual models from natural language supervi- sion

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.668706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39275633-e027-4f18-8a2a-ab9b67e22615 · outbound

This paper cites Clip-forge: Towards zero-shot text-to-shape genera- tion.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Clip-forge: Towards zero-shot text-to-shape genera- tion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.782457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b289705-d9ff-4a20-bd4a-93c745c6e89f · outbound

This paper cites Meshclip: Efficient cross-modal infor- mation processing for 3d mesh data in zero/few-shot learn- ing.Information Processing & Management, 60(6):103497,.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Meshclip: Efficient cross-modal infor- mation processing for 3d mesh data in zero/few-shot learn- ing.Information Processing & Management, 60(6):103497,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.865420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6299a1e-8d1e-4159-840b-1da6e45d8749 · outbound

This paper cites Minigpt-3d: Efficiently aligning 3d point clouds with large language models using 2d priors, 2024.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Minigpt-3d: Efficiently aligning 3d point clouds with large language models using 2d priors, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:20.925267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7085ba9-3f28-4c1a-81b4-1ab66b6a95a8 · outbound

This paper cites Cad-gpt: Synthesising cad construction sequence with spatial reasoning-enhanced mul- timodal llms.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Cad-gpt: Synthesising cad construction sequence with spatial reasoning-enhanced mul- timodal llms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.047096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597f31d2-fcd6-4777-9382-7ee6b48ee71e · outbound

This paper cites Cad-llm: Large language model for cad generation.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Cad-llm: Large language model for cad generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.121228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f532cda-a6b4-4ffe-8dd8-08c45af23b92 · outbound

This paper cites Cad- vlm: Bridging language and vision in the generation of para- metric cad sketches.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Cad- vlm: Bridging language and vision in the generation of para- metric cad sketches

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.175570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04249605-aff2-4a81-bbbc-9e52994b9585 · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Point transformer v3: Simpler, faster, stronger

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.246223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ebc0d1-9c92-44dd-86af-b54d515ff429 · outbound

This paper cites CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.317204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab70cdc-da1b-4c2b-bcb2-5aa2cf3c7367 · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds, 2024.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Pointllm: Empowering large language models to understand point clouds, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.423904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ece010-6a88-42d0-80e1-f3fa2661fed1 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.537218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cbf5b11-4ad4-4ad9-b934-323106e9ff84 · outbound

This paper cites Cadtalk: An algorithm and benchmark for semantic commenting of cad programs.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Cadtalk: An algorithm and benchmark for semantic commenting of cad programs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.611131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f088bd-f298-4e1e-9f68-bee6dd94f225 · outbound

This paper cites Cad-editor: Text-based cad editing through adapting large language mod- els with synthetic data.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Cad-editor: Text-based cad editing through adapting large language mod- els with synthetic data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.688890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d79f79-c536-432d-a64f-3026e0b3549a · outbound

This paper cites Pointclip: Point cloud understanding by clip.

BrepLLM: Enabling Large Language Models to Understand Boundary Representations Pointclip: Point cloud understanding by clip

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T15:37:21.746869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e433228f-7285-4397-86e7-6f8c1943e193 · 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 BrepLLM: Enabling Large Language Models to Understand Boundary Representations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T20:55:09.818614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.