{"as_of":"2026-08-12T06:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8f7eca40fc1cc2de48ed596769a662327ab04912c419cdf837aae7bc1ab4d8f","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:33:16.101045Z","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":"2026-07-04T16:49:57.937484Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-11T19:33:16.101045Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06614","last_updated":"2024-12-09T16:05:31Z","snapshot_observed_at":"2026-08-11T20:40:12.370722Z","submitted_at":"2024-12-09T16:05:31Z","title":"MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T19:33:16.101045Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2412.06614"},"observation_digest":"sha256:01a3ed0aada531d8edf58ad6e6a70dd156560254666a9dd461b3165bc73bce42","observation_id":"647b0517-17c4-4d24-b4a2-b4104b02a475","resolution":{"observed_at":"2026-08-11T19:33:16.101045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-11T15:18:18.480830Z","title":"T3bench: Benchmarking current progress in text-to-3d gen- eration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11170","last_updated":"2025-07-27T09:18:49Z","snapshot_observed_at":"2026-08-11T22:10:22.581543Z","submitted_at":"2024-12-15T12:41:44Z","title":"Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:18:18.480830Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2412.11170"},"observation_digest":"sha256:4752ec186018ce4601d634d4fbd300f7eba19b11acdf76169bb96f00b9d72c17","observation_id":"8ec5e8a9-dc53-4a9f-99db-a89d71441512","resolution":{"observed_at":"2026-08-11T15:18:18.480830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-10T23:07:40.656437Z","title":"T 3 bench: Benchmarking current progress in text-to-3d gener- ation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.21117","last_updated":"2025-01-02T16:31:44Z","snapshot_observed_at":"2026-08-10T22:59:55.895832Z","submitted_at":"2024-12-30T17:44:23Z","title":"Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T23:07:40.656437Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2412.21117"},"observation_digest":"sha256:96c11d13311c991b4b22f192851f5359466419710b4634363a3ab29c53f40389","observation_id":"6e681858-644e-47ab-8513-7dc66698b35e","resolution":{"observed_at":"2026-08-10T23:07:40.656437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-10T20:11:25.672589Z","title":"T3 bench: Benchmarking current progress in text-to-3d gener- ation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09278","last_updated":"2025-01-17T08:20:59Z","snapshot_observed_at":"2026-08-11T05:35:42.053407Z","submitted_at":"2025-01-16T03:54:06Z","title":"Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:11:25.672589Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2501.09278"},"observation_digest":"sha256:e08e01a23868ac9900571deb77d60c364facb9d0e8f3a6749bcd631b60b5a95f","observation_id":"3781a14f-cacc-424c-9238-ab080d456126","resolution":{"observed_at":"2026-08-10T20:11:25.672589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-10T10:56:30.929705Z","title":"T3bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.16764","last_updated":"2025-01-28T07:38:59Z","snapshot_observed_at":"2026-08-11T00:40:41.296584Z","submitted_at":"2025-01-28T07:38:59Z","title":"DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T10:56:30.929705Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2501.16764"},"observation_digest":"sha256:9ad8705f2fa6b832ff2d4f5d8cefe499a748d628bdaaaa843c12b4728ae4dc3b","observation_id":"184cc3e4-f9d9-4145-9ba7-e7865187b7c2","resolution":{"observed_at":"2026-08-10T10:56:30.929705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-07T15:20:09.439825Z","title":"T3 bench: Benchmarking current progress in text-to-3d gener- ation.arXiv preprint arXiv:2310.02977, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15528","last_updated":"2025-05-21T13:51:57Z","snapshot_observed_at":"2026-08-11T13:39:48.386145Z","submitted_at":"2025-05-21T13:51:57Z","title":"PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:20:09.439825Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2505.15528"},"observation_digest":"sha256:508287f0cd1d1e550009c0a00b516a20a95ff20cc200a8366354bc591992e3cd","observation_id":"2885ee5d-c671-432c-9458-d54d50b1b4c6","resolution":{"observed_at":"2026-08-07T15:20:09.439825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-07T10:17:46.564662Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10019","last_updated":"2025-06-06T11:09:46Z","snapshot_observed_at":"2026-08-08T16:55:23.964977Z","submitted_at":"2025-06-06T11:09:46Z","title":"A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T10:17:46.564662Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2506.10019"},"observation_digest":"sha256:7d5f24fde98ab893b7875c5ae563cc44b64fbf633c5091cb9e1005e1e51bc5bc","observation_id":"1488be1a-254c-4d22-bf96-6336e32f7985","resolution":{"observed_at":"2026-08-07T10:17:46.564662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-06T21:59:10.830000Z","title":"T 3Bench: Benchmarking current progress in text-to-3D generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22902","last_updated":"2025-06-28T14:34:24Z","snapshot_observed_at":"2026-08-09T12:02:56.766009Z","submitted_at":"2025-06-28T14:34:24Z","title":"Point Cloud Compression and Objective Quality Assessment: A Survey","version":1},"reference_index":217,"source":"pdf_text","source_observed_at":"2026-08-06T21:59:10.830000Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2506.22902"},"observation_digest":"sha256:84611daeee900896088c01999e511889789d31a1a48250286ca714a81b99799c","observation_id":"e9ee8731-011d-49c9-9e30-5a7af5dd3791","resolution":{"observed_at":"2026-08-06T21:59:10.830000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-15T14:36:31.220132Z","title":"T3bench: Benchmarking current progress in text-to-3d generation.ArXiv, abs/2310.02977,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.05425","last_updated":"2026-05-27T15:11:58Z","snapshot_observed_at":"2026-08-07T12:27:02.125731Z","submitted_at":"2026-03-05T17:45:47Z","title":"RelaxFlow: Text-Driven Amodal 3D Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-15T14:36:31.220132Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2603.05425"},"observation_digest":"sha256:c8f8630398b68b3501cf1cd3efd7ef509bc32ac97dbc01374fd72dad9711be70","observation_id":"d70f87de-f9db-46d3-a4cd-04458a5d0f23","resolution":{"observed_at":"2026-07-15T14:36:31.220132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2605.07390","last_updated":"2026-05-08T07:44:56Z","snapshot_observed_at":"2026-08-11T09:22:33.928533Z","submitted_at":"2026-05-08T07:44:56Z","title":"ST-Gen4D: Embedding 4D Spatiotemporal Cognition into World Model for 4D Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-11T01:56:13.909329Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2605.07390"},"observation_digest":"sha256:ab8d72faf092d224fb45c8efd5ebeef7754b49ecec22f80fce3eddb7d04ff17f","observation_id":"b16da6d7-8499-4656-8798-f137400fb2ae","resolution":{"observed_at":"2026-05-11T04:05:59.123096Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2605.28241","last_updated":"2026-05-27T09:56:36Z","snapshot_observed_at":"2026-08-06T13:49:28.006954Z","submitted_at":"2026-05-27T09:56:36Z","title":"PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T14:00:28.767590Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2605.28241"},"observation_digest":"sha256:f433f9fa938be55196f6f681d7312ad4bfef8e770c6bdb329078021f4efcb946","observation_id":"22988066-b587-4f50-a4c4-ccfb3634da74","resolution":{"observed_at":"2026-06-29T14:03:29.476643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2606.10142","last_updated":"2026-06-08T20:17:49Z","snapshot_observed_at":"2026-08-01T20:16:07.936422Z","submitted_at":"2026-06-08T20:17:49Z","title":"DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T16:46:34.169875Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2606.10142"},"observation_digest":"sha256:1e9d919eefaa725d48b21a2a8c6c70b1992d69f2dde5e1f1425c3ce86f9955c9","observation_id":"0eaa6e7b-b50e-433a-808d-769c09ffd9b7","resolution":{"observed_at":"2026-07-03T01:07:30.802397Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2606.11152","last_updated":"2026-06-10T16:12:45Z","snapshot_observed_at":"2026-07-06T23:50:16.299969Z","submitted_at":"2026-06-09T17:36:34Z","title":"P3D-Bench: Benchmarking MLLMs for Parametric 3D Generation and Structural Reasoning","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-27T13:48:07.845039Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2606.11152"},"observation_digest":"sha256:9ce2b7a3591173aa9aa256f7200f0af1cd99fbcef5dde2a28bc44696684c5669","observation_id":"4209b3e7-52dd-4e03-a05f-6738149adc4c","resolution":{"observed_at":"2026-07-03T04:37:37.040112Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2606.24799","last_updated":"2026-06-23T16:50:47Z","snapshot_observed_at":"2026-08-03T23:38:50.015299Z","submitted_at":"2026-06-23T16:50:47Z","title":"OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T00:12:08.733967Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2606.24799"},"observation_digest":"sha256:523df51f85ad6ebf66b21bc87f2b9c8535faa818a361c9bb402b4040c034fca0","observation_id":"7fbb54f5-5dec-4139-878f-82cd184471ad","resolution":{"observed_at":"2026-07-04T16:49:57.939034Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":"2310.02977","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-04T16:49:57.937484Z","title":"T3 bench: Benchmarking current progress in text-to-3d generation","venue":null,"work_id":"8c877a11-52bf-4000-9407-932206d1bfc5","year":2023},"citing_paper":{"arxiv_id":"2607.01803","last_updated":"2026-07-04T06:58:16Z","snapshot_observed_at":"2026-08-02T02:22:21.215897Z","submitted_at":"2026-07-02T07:18:37Z","title":"PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-03T16:13:41.928049Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2607.01803"},"observation_digest":"sha256:f66b9a98cee8c8c63990985bb3040dc81dd1691f7a10b5e0ed61f6f6345d1c7b","observation_id":"b5b36867-3335-45dd-aa4e-648f457439ec","resolution":{"observed_at":"2026-07-03T16:18:37.515441Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-07-12T08:36:06.846852Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.01803","last_updated":"2026-07-04T06:58:16Z","snapshot_observed_at":"2026-08-02T02:22:21.215897Z","submitted_at":"2026-07-02T07:18:37Z","title":"PixGS: Pixel-Space Diffusion for Direct 3D Gaussian Splat Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T08:36:06.846852Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2607.01803"},"observation_digest":"sha256:0a8e5e6d821bec0da38fd522c18744f4e1cf854014fb3bd10eecc782b5277ed1","observation_id":"d04a8057-33d2-4ce1-8d28-5689221d35c3","resolution":{"observed_at":"2026-07-12T08:36:06.846852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02977","snapshot_observed_at":"2026-08-02T06:23:29.135234Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.12752","last_updated":"2026-07-15T04:28:35Z","snapshot_observed_at":"2026-08-07T19:36:05.834855Z","submitted_at":"2026-07-14T13:19:06Z","title":"Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-02T06:23:29.135234Z"},"links":{"cited_paper":"/paper/2310.02977","citing_paper":"/paper/2607.12752"},"observation_digest":"sha256:5eaaf94df4335ae8e85d466c54c4d5462a1642d745d8f414c4ea36423aa318f5","observation_id":"9a2a42ba-6d7c-4c7b-b01f-a09f7eebd1b9","resolution":{"observed_at":"2026-08-02T06:23:29.135234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.02977/citation-record","integrity":"/paper/2310.02977/integrity","json":"/paper/2310.02977/citation-record.json","paper":"/paper/2310.02977"},"outbound":[],"paper":{"arxiv_id":"2310.02977","last_updated":"2024-04-17T09:09:17Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:27:47.445841Z","submitted_at":"2023-10-04T17:12:18Z","title":"T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.02977."}