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Paper Citation Record · LEDGER

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 11 inbound Pith citation observations for arXiv:2412.14203.

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

pith.paper-citation-record.v1
2412.14203 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:36:49.645979Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:17.625110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:29.768227Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f785b343-dc9d-4c1b-9d4b-b45d2bd5bff3 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.915933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.587971Z digest=sha256:1f947184c532b8373dd78fe5739f82ff0d4152fd140c24518c85e5a543c154ca

Observation 136fcb09-72cc-46bb-addc-de82990e8d10 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-11T14:36:49.580244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:36:49.580244Z digest=sha256:395afcf1a8d76eab457ecda76e2f3d5ae536b7830876f2f0b0a801b972093d58

Observation 4ae29da3-fade-489f-a8d5-74f87a6c6bac · outbound

This paper cites color palette should be harmonious.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement color palette should be harmonious

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:49.886360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.598546Z digest=sha256:04c82b0575976c9f829221e32d57742fe1b8e2729267c8828d08d351a6ba6e84

Observation 6739b254-991b-423c-a4ab-632f786f9398 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.900917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.593087Z digest=sha256:d990538f57ff93e29b691d68b7273ea1600f3cfcce9c4d9552161722ad4af0e1

Observation 35802151-7706-497d-bf73-ac83e2a72097 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.870214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.603991Z digest=sha256:17ece8cec0c73bb24a6976f70dae4666b7cdc84dd6bbf0bf30d566332de6d1e1

Observation d71e8f66-44d3-45e4-b22d-da54951a0b59 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.853330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.608961Z digest=sha256:bcfcac4fdc3982ad125a9a6794890f2f67f94e501926c2fca4d09c2ff7a47667

Observation 61084653-c04a-459d-8c27-f041a79e4c1c · outbound

This paper cites G.2.4 Team and Results • Annotators: 3 annotators for the annotation process and 1 members in the quality control team.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement G.2.4 Team and Results • Annotators: 3 annotators for the annotation process and 1 members in the quality control team

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:49.836739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.613992Z digest=sha256:0e6d296321a4e1dbc13fe3d712cabf08e6d7828eb41219aaa2aa751d4501981f

Observation 8fb3d548-57d1-4509-bb99-33c3b5b62d81 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.816778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.619280Z digest=sha256:660fa612ba11d103ef16a0d2ae24afd9877fd400f8ec465c939642b1d3800f5c

Observation 5fb28b0e-380d-408f-ada4-a2710d1ed846 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.798584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.624097Z digest=sha256:708fb9207d43b1fb736bb42f42c843c22796a44f99d75c6175991bd0608f19b2

Observation 3c56022c-d3a2-48d4-9539-b868f5fe1b93 · outbound

This paper cites • Assign 0 points if the property appears incon- sistent or unreasonable.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement • Assign 0 points if the property appears incon- sistent or unreasonable

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:49.782319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.629528Z digest=sha256:9d0d683ba6c57a88ab29cabac319ecb3f9b89ec97d0cd807c5019ddb224f3af9

Observation c22b1f15-0648-4f97-9cd6-11ed659b9908 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.765011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.634768Z digest=sha256:808da812280e056c4b6dd1457195fd9bf3b460cd8b15f28fa44adeed042b87ea

Observation 3ae4cc62-620a-4ace-8405-19cd7e1c3d95 · outbound

This paper cites an unresolved cited work.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:36:49.748542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.640699Z digest=sha256:23e5c144be5e07986e0c6302ece7a890d499eba137114a60c722b314b3b4d8f9

Observation 95092637-57d7-4959-80c6-4df0b6381dc8 · outbound

This paper cites G.3.4 Team and Results • Annotators: 3 scoring annotators and 1 qual- ity control annotators.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement G.3.4 Team and Results • Annotators: 3 scoring annotators and 1 qual- ity control annotators

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:36:49.730111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:36:49.645979Z digest=sha256:bd15e4401985595308ce8ae3f6e18b4b8904eaa3b85c6864ff21a82daa9eb4e2

Observation c0aba2a5-4529-463f-960a-d55b2f012eec · outbound

This paper cites Language Models are Few-Shot Learners.

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement Language Models are Few-Shot Learners

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T14:36:49.572499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:36:49.572499Z digest=sha256:39d7ad8aff3ccfafcc11fed0e2efa3c0982724fd10fcc195390f3e4694a54f24

Pith citing papers

Observation ee64170a-bf5e-42ae-977d-99744e3efa23 · inbound

CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation cites this paper.

CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:17.625110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:17.625110Z digest=sha256:7dda4fa8ba6218c3869d94a3f114767f3c8d1d554f85c3712a9565563dc5de07

Observation 0b275d7c-048b-4bb8-ba7f-c6a785b6330d · inbound

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients" cites this paper.

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients" BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T00:55:36.282685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:55:36.282685Z digest=sha256:541e76bdcb6ad61d2959082f25b1baaf54c2bab53c805a7f11f2b7fcef2244f0

Observation 515036c6-2e21-4e15-ac17-19c0b7b27324 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:17.122921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:17.122921Z digest=sha256:672060096c03a280ad27da91425437d4d298829d7a71256e94a7b9a947893569

Observation 0d77d300-5ae1-46da-9f24-172a04e41ba0 · inbound

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis cites this paper.

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:06.109437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-09T20:17:19.228252Z digest=sha256:b9f8843b8c35824c3dd1a4bb2e6258358a6f63868af1877a051a65dd6daaba7b

Observation 14c7c88b-2a3f-4cf3-9d77-c3fae50c6203 · inbound

CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation cites this paper.

CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:24.673924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T04:31:00.451404Z digest=sha256:6a1459da57e1d84922511d38ba8ff2ac977b7ffb2172e89a2ff06830dc42f4e4

Observation 8cd330fa-0b93-4681-b21c-53949e0cdf5e · inbound

CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation cites this paper.

CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:55:45.986460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T22:31:47.742300Z digest=sha256:5ef49042e7ec51be6291ffdbb302549713cd5de611373a5f70d1a9faab9f5791

Observation e6912aba-2e4e-4450-a979-6663e2542185 · inbound

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects cites this paper.

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:03:05.094340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T06:02:49.590343Z digest=sha256:8aebccaf4bff767997bbb88c8c7df93ecda3dccc77fe783ae083327c432c9ed7

Observation b657f831-6d5b-4dcb-9046-3a81fe27b7f2 · inbound

3D-CoS: A New 3D Reconstruction Paradigm Based on VLM Code Synthesis cites this paper.

3D-CoS: A New 3D Reconstruction Paradigm Based on VLM Code Synthesis BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:17:36.784453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T14:05:27.123173Z digest=sha256:103389995b9839e4420102529df2d184986b500619859d7e5f15243ed12fc24c

Observation 11c51ba0-fd34-4939-a198-228ec764fdfe · inbound

BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modeling cites this paper.

BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modeling BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:49:29.770546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T17:41:23.922715Z digest=sha256:15f791273ca2174cf5fee5b434d319ff27886da02e9198ff15ee5e77b19516b0

Observation cf672ae3-6cbc-4f1b-9e9c-44d856cdb118 · inbound

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement cites this paper.

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-13T06:42:45.558324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T06:42:45.558324Z digest=sha256:b1c9522b728aa4e22386d1b3cd7708e432959ccfe6818f026b077750dae4e527

Observation 55a97b66-5f05-42eb-8f70-9a4d547e87e5 · inbound

Autoregressive Modeling of Film with Applications in Video Montage cites this paper.

Autoregressive Modeling of Film with Applications in Video Montage BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-02T01:34:22.916108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:34:22.916108Z digest=sha256:bdd44211b7ea635a6051042cf5a75c9cf3314d0f2237500f0834bcd3ecedbb64