{"as_of":"2026-08-08T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0453f04d6a486bcbc9ced41d8cb6b850ee1c4489430fa4389245e6ca73f82cf0","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T13:10:42.454041Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.11446/citation-record","integrity":"/paper/2606.11446/integrity","json":"/paper/2606.11446/citation-record.json","paper":"/paper/2606.11446"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Compositional 3d scene generation using locally conditioned diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:007f328d8a59201b09c4ab806cd2f9044a91e23f8d5dfc1b9328c30f3ed11fc1","observation_id":"99e2388d-7f95-4ddf-a954-7728459252ec","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"State of the art on diffusion models for visual computing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:c610aec331691ba438aba12bed5b5070197e8d1c38d8c3e082f937093dc9465a","observation_id":"2d610ea3-021b-43a8-b860-5b3ed7a959f9","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15480","last_updated":"2023-02-01T22:26:15Z","snapshot_observed_at":"2026-08-06T03:12:00.729920Z","submitted_at":"2022-05-31T00:29:26Z","title":"Post-hoc Concept Bottleneck Models","version":2},"cited_work":{"arxiv_id":"2205.15480","doi":"10.48550/arxiv.2205.15480","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.15480","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2205.15480 , year=","venue":"arXiv (Cornell University)","work_id":"ad7c820b-fdef-4c7b-b65c-05ef0c907265","year":2022},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2205.15480","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:fd093e661191e0191bb82b2361a3da9e6439ea9cd0d4b8361e3731de24033aca","observation_id":"ae4825cd-06ae-4b9a-8e00-0747874b03fa","resolution":{"observed_at":"2026-07-03T05:27:40.521800Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.15374","last_updated":"2024-10-20T12:13:59Z","snapshot_observed_at":"2026-08-01T15:03:04.070323Z","submitted_at":"2024-10-20T12:13:59Z","title":"Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations","version":1},"cited_work":{"arxiv_id":"2410.15374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.15374","snapshot_observed_at":"2026-07-03T05:27:40.525575Z","title":"Explainability of point cloud neural networks using smile: Statistical model-agnostic interpretability with local explanations","venue":null,"work_id":"c49f08da-253b-4731-9a7e-27c6ee779c2e","year":2024},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2410.15374","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:ce1795496747f9b9cf40afa3ed6bf4299e87d0e5b5a2e15f44aea7ecf0ea000b","observation_id":"7a9822d0-44ee-4c0c-8f0f-0a46f006b097","resolution":{"observed_at":"2026-07-03T05:27:40.527110Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06129","last_updated":"2023-06-05T17:33:43Z","snapshot_observed_at":"2026-08-07T21:44:30.073140Z","submitted_at":"2023-04-12T19:27:09Z","title":"Label-Free Concept Bottleneck Models","version":2},"cited_work":{"arxiv_id":"2304.06129","doi":"10.48550/arxiv.2304.06129","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.06129","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Label-free concept bottleneck models","venue":"arXiv (Cornell University)","work_id":"fd08f700-7785-4da8-8f9b-291d54cfd682","year":2023},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2304.06129","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:f4bc087a4dc46187d3c1b4eff0e301f70052c0851b58294e990c3ac8497f4555","observation_id":"96068eae-7d30-42ae-a3e0-1594c342adee","resolution":{"observed_at":"2026-07-03T05:27:40.519512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.07399","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T05:27:40.520554Z","title":"Interpretable aneurysm classification via 3d concept bottleneck models: Integrating morphological and hemodynamic clinical features.arXiv preprint arXiv:2603.07399, 2026","venue":null,"work_id":"43dbc58b-b492-4ec6-8bbe-e73fe2308dcc","year":2026},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:f22f1c8605a087f9f20f2af4a33c63f6e7e359823fe8913f6620d1bb6cfdf74a","observation_id":"fefee43d-732d-4f1f-82d5-0ea4d45cc4d2","resolution":{"observed_at":"2026-07-03T05:27:40.522000Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Language in a bottle: Language model guided concept bottlenecks for interpretable image classification","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:d227a3c260248015bb76152ba71d0c82de5562a91e2533678586cdbfb2dab11d","observation_id":"63e89b06-79f4-4ca3-be52-ac19dcd36e53","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02104","last_updated":"2024-12-03T02:54:31Z","snapshot_observed_at":"2026-07-06T20:00:37.331726Z","submitted_at":"2024-12-03T02:54:31Z","title":"Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey","version":1},"cited_work":{"arxiv_id":"2412.02104","doi":"10.48550/arxiv.2412.02104","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.02104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Explainable and interpretable multimodal large language models: A comprehensive survey","venue":"arXiv (Cornell University)","work_id":"ca6d8610-ceff-4c4d-beff-d2f876503d3e","year":2024},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2412.02104","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:a6146c13ad010250e6cc19b96711f99aeb2a2acb58b3d1c5b8200ad2fc3d2739","observation_id":"15f7d97c-7a62-4810-a9c1-7923d25e4cb0","resolution":{"observed_at":"2026-07-03T05:27:40.524932Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06131","last_updated":"2024-10-25T02:30:30Z","snapshot_observed_at":"2026-07-06T15:25:32.095335Z","submitted_at":"2023-05-10T13:26:08Z","title":"Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era","version":4},"cited_work":{"arxiv_id":"2305.06131","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.06131","snapshot_observed_at":"2026-07-03T05:27:40.533731Z","title":"Generative ai meets 3d: A survey on text-to-3d in aigc era","venue":null,"work_id":"bcfbec26-c735-4d5e-aba9-887552ffbb9a","year":2023},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2305.06131","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:bebd5b3ba74f8635244a01eb18299c22c973611a17bff1a53c06448d1e1f5fdc","observation_id":"4a5e6afb-e294-43ec-8488-6e707b5648cc","resolution":{"observed_at":"2026-07-03T05:27:40.535381Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09431","last_updated":"2024-05-15T15:23:22Z","snapshot_observed_at":"2026-07-06T18:14:46.143061Z","submitted_at":"2024-05-15T15:23:22Z","title":"A Survey On Text-to-3D Contents Generation In The Wild","version":1},"cited_work":{"arxiv_id":"2405.09431","doi":"10.48550/arxiv.2405.09431","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.09431","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A survey on text-to-3d contents generation in the wild","venue":"arXiv (Cornell University)","work_id":"7c41e0a8-e59f-4ace-9b18-51a189ae3d0e","year":2024},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2405.09431","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:fa83eb984f3025795e51281510c38634f70b2f7a5a70d7ac19efb9aa27af888f","observation_id":"d07fb96b-9ca2-44c0-85a8-a68a341a8d95","resolution":{"observed_at":"2026-07-03T05:27:40.532551Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Diffusion probabilistic models for 3d point cloud generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:d9d1ed6e67019b5cf7346384f977ab714022156ac97cf2ebebd96f76f5b7e4d6","observation_id":"23185a32-bc26-4420-99b8-c5ed21d3c573","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Sp-gan: Sphere-guided 3d shape generation and manipula- tion.ACM Transactions on Graphics (TOG), 40(4):1–12, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:da6ec2c8d93026915c4972708b381f935a31202bed0198d69b1f154b1f3c70f2","observation_id":"693e9fc4-bf7d-4bec-80a5-619ec45b3a11","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:e783fea478b5bf17ed78f734037cfd86deeb56451914237e81aa78de20d51d8a","observation_id":"20a1cee8-d4c9-48bb-a1ea-4f9046ef173f","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Concept bottleneck models for explainable decision making: A survey of progress, taxonomy, and future directions.Preprint at ResearchGate, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:a3f26d0a71553da1c6158660e418ef60cdc9973c91ffd63a37f084f9dbed67ff","observation_id":"1fdb5326-7499-4561-9a2d-fe12da252d4e","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Explainable generative ai: A two-stage review of existing techniques and future research directions.AI, 7(1):31, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:f3e6ce6b9dd89eab7bc5bc2862ae5cd525a35bd51dd30c478c64f3e0da6153ba","observation_id":"6992c588-8ad8-42ef-875d-428a741f648c","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Interpretable 3d neural object volumes for robust conceptual reasoning","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:c4447948fed2ba0de281e86672827ba75b56ba4af9d1120a56ed739970979ee5","observation_id":"fa7d5781-374f-442f-b210-0c9e64c12873","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07010","last_updated":"2025-09-06T11:04:15Z","snapshot_observed_at":"2026-08-07T08:55:05.831901Z","submitted_at":"2025-09-06T11:04:15Z","title":"Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Models","version":1},"cited_work":{"arxiv_id":"2509.07010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07010","snapshot_observed_at":"2026-07-03T05:27:40.533772Z","title":"Human-in-the-loop: Quantitative evaluation of 3d models generation by large language models.arXiv preprint arXiv:2509.07010, 2025","venue":null,"work_id":"44fcc58a-12cb-4df4-af2c-45c37a15e089","year":2025},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"cited_paper":"/paper/2509.07010","citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:e78c564230bf2d833c7d5daaae11fafa8608267257fb4d436dc115dcfcf0ad93","observation_id":"09443274-d180-4ea6-a25d-a6d5ff09edbd","resolution":{"observed_at":"2026-07-03T05:27:40.535493Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Simon and Schuster, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:309407b76836fb6ad526bdb917bcb76a3fa8a03cc9c1fb7ee8eda987b490d287","observation_id":"22b8a1b8-db35-484b-9053-f3f8fbcfefe1","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:097a161105ad727419c03e914aa7987ac4f6e438c2ed16590a280ef775faa6ed","observation_id":"f9b05d4e-cf82-4bb5-9a04-a60d07517876","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:9ca9163d5e58252a8f0a8b3dc7792e312f36c184e76a402b2c6d7ccc5924432d","observation_id":"0c47db87-06a6-4851-b158-d8de65f0ffc1","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Foldingnet: Point cloud auto-encoder via deep grid deformation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:e2dd180da2b078943304bf25f585493cb2720049c94753198baa87b73d647d57","observation_id":"45517cca-ce9a-4651-bc4c-527f79cba47c","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T13:10:42.454041Z","title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCA V)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T13:10:42.454041Z"},"links":{"citing_paper":"/paper/2606.11446"},"observation_digest":"sha256:fcbe4ac713667cc914860ba5260c7da121f2f8b04547de6e94b4fdddff211fa3","observation_id":"4b9f35e4-56cb-4426-ac08-ec6418d49c19","resolution":{"observed_at":"2026-06-27T13:10:42.454041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.11446","last_updated":"2026-06-09T20:57:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T06:28:13.105999Z","submitted_at":"2026-06-09T20:57:03Z","title":"3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":8,"verified_fuzzy":0},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.11446."}