{"as_of":"2026-08-10T16:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:09c5b4a459e559f2c1fab2ecf435c32cff0687c6e124c2568a01a7611a5a497b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T19:24:17.739557Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T04:29:35.010933Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.10763","last_updated":"2023-12-17T16:53:30Z","snapshot_observed_at":"2026-08-02T02:02:01.525485Z","submitted_at":"2023-12-17T16:53:30Z","title":"M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10763","snapshot_observed_at":"2026-08-09T19:24:17.739557Z","title":"M3dbench: Let’s instruct large models with multi-modal 3d prompts","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00342","last_updated":"2025-08-08T07:24:11Z","snapshot_observed_at":"2026-08-10T01:18:31.464880Z","submitted_at":"2025-02-01T07:01:33Z","title":"Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T19:24:17.739557Z"},"links":{"cited_paper":"/paper/2312.10763","citing_paper":"/paper/2502.00342"},"observation_digest":"sha256:5718a6829de3f567b15748a18ec0f6b2840587f1bd72cf0714b217dc44a120bf","observation_id":"4efc0c83-5b3f-4efa-8c3d-00d290f0dc75","resolution":{"observed_at":"2026-08-09T19:24:17.739557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10763","last_updated":"2023-12-17T16:53:30Z","snapshot_observed_at":"2026-08-02T02:02:01.525485Z","submitted_at":"2023-12-17T16:53:30Z","title":"M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10763","snapshot_observed_at":"2026-08-06T15:14:16.919372Z","title":"M3dbench: Let’s instruct large models with multi-modal 3d prompts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16524","last_updated":"2025-07-22T12:32:35Z","snapshot_observed_at":"2026-08-08T23:17:09.833524Z","submitted_at":"2025-07-22T12:32:35Z","title":"Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:14:16.919372Z"},"links":{"cited_paper":"/paper/2312.10763","citing_paper":"/paper/2507.16524"},"observation_digest":"sha256:5cd240733262993add5e438ca0198a9f60dea078728a65ee842cd5de487e4c23","observation_id":"8e99d525-c8b2-4ed6-b2df-15ce5abbc5c7","resolution":{"observed_at":"2026-08-06T15:14:16.919372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10763","last_updated":"2023-12-17T16:53:30Z","snapshot_observed_at":"2026-08-02T02:02:01.525485Z","submitted_at":"2023-12-17T16:53:30Z","title":"M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts","version":1},"cited_work":{"arxiv_id":"2312.10763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.10763","snapshot_observed_at":"2026-07-04T04:29:35.010933Z","title":"Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, and Junwei Liang","venue":null,"work_id":"d435f4e6-882b-4bc6-a5c1-66b32f32fa7d","year":2025},"citing_paper":{"arxiv_id":"2606.09669","last_updated":"2026-06-08T15:51:51Z","snapshot_observed_at":"2026-08-02T20:17:41.727375Z","submitted_at":"2026-06-08T15:51:51Z","title":"SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T16:35:14.099586Z"},"links":{"cited_paper":"/paper/2312.10763","citing_paper":"/paper/2606.09669"},"observation_digest":"sha256:71c46b09e562080ed19e4d6328cbef20164b7efb2535d39bcc0495d6d9f588be","observation_id":"33d6404e-0cbb-4f70-9f7c-e847df3e248b","resolution":{"observed_at":"2026-07-03T01:27:30.616917Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10763","last_updated":"2023-12-17T16:53:30Z","snapshot_observed_at":"2026-08-02T02:02:01.525485Z","submitted_at":"2023-12-17T16:53:30Z","title":"M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts","version":1},"cited_work":{"arxiv_id":"2312.10763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.10763","snapshot_observed_at":"2026-07-04T04:29:35.010933Z","title":"Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, and Junwei Liang","venue":null,"work_id":"d435f4e6-882b-4bc6-a5c1-66b32f32fa7d","year":2025},"citing_paper":{"arxiv_id":"2606.20946","last_updated":"2026-06-18T21:20:20Z","snapshot_observed_at":"2026-08-02T09:20:44.890160Z","submitted_at":"2026-06-18T21:20:20Z","title":"Scaling Diverse Language Generation for 3D Visual Grounding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T16:59:10.173198Z"},"links":{"cited_paper":"/paper/2312.10763","citing_paper":"/paper/2606.20946"},"observation_digest":"sha256:a9bcb6e5ad1a9989dd3b31d13a7e70bb4ad4b670b532abf01d0d917811b50e99","observation_id":"d5622c10-0963-4d86-bd7f-65899609f03d","resolution":{"observed_at":"2026-07-04T04:29:35.012730Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.10763/citation-record","integrity":"/paper/2312.10763/integrity","json":"/paper/2312.10763/citation-record.json","paper":"/paper/2312.10763"},"outbound":[],"paper":{"arxiv_id":"2312.10763","last_updated":"2023-12-17T16:53:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T02:02:01.525485Z","submitted_at":"2023-12-17T16:53:30Z","title":"M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.10763."}