Paper Citation Record · LEDGER

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.11446.

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

pith.paper-citation-record.v1
2606.11446 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:10:42.454041Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

22 of 22 outbound references displayed

verified exact8
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99e2388d-7f95-4ddf-a954-7728459252ec · outbound

This paper cites Compositional 3d scene generation using locally conditioned diffusion.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Compositional 3d scene generation using locally conditioned diffusion

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d610ea3-021b-43a8-b860-5b3ed7a959f9 · outbound

This paper cites State of the art on diffusion models for visual computing.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling State of the art on diffusion models for visual computing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4825cd-06ae-4b9a-8e00-0747874b03fa · outbound

This paper cites Post-hoc Concept Bottleneck Models.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Post-hoc Concept Bottleneck Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.521800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a9822d0-44ee-4c0c-8f0f-0a46f006b097 · outbound

This paper cites Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.527110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96068eae-7d30-42ae-a3e0-1594c342adee · outbound

This paper cites Label-Free Concept Bottleneck Models.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Label-Free Concept Bottleneck Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.519512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fefee43d-732d-4f1f-82d5-0ea4d45cc4d2 · outbound

This paper cites Interpretable aneurysm classification via 3d concept bottleneck models: Integrating morphological and hemodynamic clinical features.arXiv preprint arXiv:2603.07399, 2026.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Interpretable aneurysm classification via 3d concept bottleneck models: Integrating morphological and hemodynamic clinical features.arXiv preprint arXiv:2603.07399, 2026

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.522000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 63e89b06-79f4-4ca3-be52-ac19dcd36e53 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f7d97c-7a62-4810-a9c1-7923d25e4cb0 · outbound

This paper cites Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.524932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a5e6afb-e294-43ec-8488-6e707b5648cc · outbound

This paper cites Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.535381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d07fb96b-9ca2-44c0-85a8-a68a341a8d95 · outbound

This paper cites A Survey On Text-to-3D Contents Generation In The Wild.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling A Survey On Text-to-3D Contents Generation In The Wild

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.532551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 23185a32-bc26-4420-99b8-c5ed21d3c573 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Diffusion probabilistic models for 3d point cloud generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 693e9fc4-bf7d-4bec-80a5-619ec45b3a11 · outbound

This paper cites Sp-gan: Sphere-guided 3d shape generation and manipula- tion.ACM Transactions on Graphics (TOG), 40(4):1–12, 2021.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Sp-gan: Sphere-guided 3d shape generation and manipula- tion.ACM Transactions on Graphics (TOG), 40(4):1–12, 2021

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a1cee8-d4c9-48bb-a1ea-4f9046ef173f · outbound

This paper cites Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdb5326-7499-4561-9a2d-fe12da252d4e · outbound

This paper cites Concept bottleneck models for explainable decision making: A survey of progress, taxonomy, and future directions.Preprint at ResearchGate, 2022.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Concept bottleneck models for explainable decision making: A survey of progress, taxonomy, and future directions.Preprint at ResearchGate, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6992c588-8ad8-42ef-875d-428a741f648c · outbound

This paper cites Explainable generative ai: A two-stage review of existing techniques and future research directions.AI, 7(1):31, 2026.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Explainable generative ai: A two-stage review of existing techniques and future research directions.AI, 7(1):31, 2026

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7d5781-374f-442f-b210-0c9e64c12873 · outbound

This paper cites Interpretable 3d neural object volumes for robust conceptual reasoning.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Interpretable 3d neural object volumes for robust conceptual reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09443274-d180-4ea6-a25d-a6d5ff09edbd · outbound

This paper cites Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Models.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.535493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22b8a1b8-db35-484b-9053-f3f8fbcfefe1 · outbound

This paper cites Simon and Schuster, 2021.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Simon and Schuster, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b05d4e-cf82-4bb5-9a04-a60d07517876 · outbound

This paper cites Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c47db87-06a6-4851-b158-d8de65f0ffc1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45517cca-ce9a-4651-bc4c-527f79cba47c · outbound

This paper cites Foldingnet: Point cloud auto-encoder via deep grid deformation.

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Foldingnet: Point cloud auto-encoder via deep grid deformation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9f35e4-56cb-4426-ac08-ec6418d49c19 · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCA V).

3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCA V)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T13:10:42.454041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.