{"as_of":"2026-08-07T10:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7b5e801e023d3de3011bcd6d6a183c55fbf6ce774922e82bf3c85002d34f272","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:53:29.808895Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"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/2608.03279/citation-record","integrity":"/paper/2608.03279/integrity","json":"/paper/2608.03279/citation-record.json","paper":"/paper/2608.03279"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:37.999478Z","title":"Nerf: representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"61cdd81d-1b7e-4557-9080-48c354b59660","year":2021},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:24.696671Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0556ec2ac4b0c6be473967d9a6b1fe37ebfe38db18b59075397a703696a710a8","observation_id":"35466476-0d7b-45a8-b4c0-245b0fbbe19a","resolution":{"observed_at":"2026-08-05T21:53:38.112665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:37.788277Z","title":"3d gaussian splatting for real-time radiance field rendering,","venue":null,"work_id":"004284c4-d892-4348-8b19-2677a36ca627","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:24.748990Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0b04581c5d9a4190e33d3cc709fd286b28780d9d8b95629ae572b1adc3d03a82","observation_id":"b628a72e-eb7a-4be9-b2db-cc4eaa6f83f2","resolution":{"observed_at":"2026-08-05T21:53:37.886941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:37.547035Z","title":"Scaffold-gs: Structured 3d gaussians for view-adaptive rendering,","venue":null,"work_id":"f5758c4f-9cd0-45a3-9224-8534f0aab83c","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:24.843376Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:7fc823764497bae40a89e2cbe335aff639ba3165924bd13500900f5a63718d11","observation_id":"a430e85f-24a8-499a-86ad-d382bbbe5bab","resolution":{"observed_at":"2026-08-05T21:53:37.677912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:37.291058Z","title":"Hac: Hash-grid assisted context for 3d gaussian splatting compression,","venue":null,"work_id":"7fbf04d4-34ad-47aa-94e7-ab5eddb8becb","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:24.933087Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:ecde643aa16ab271eb14d6c4a04931072305d00fda52dcd7fd95bf0707cceaa2","observation_id":"2eb12c8d-a50e-4ee5-8b6f-1ea5ac07f850","resolution":{"observed_at":"2026-08-05T21:53:37.413433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:37.081059Z","title":"Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps,","venue":null,"work_id":"a525819e-c139-4443-b646-3fb589f4bf44","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.037044Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:ca3de751bf70f48b1710f7bab68ab3e18cf4344c1dd1fe0a4705b3165ac0543d","observation_id":"8e17b040-6cd3-4313-9d32-150a919a0e6b","resolution":{"observed_at":"2026-08-05T21:53:37.200072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:36.807985Z","title":"Compgs: Smaller and faster gaussian splatting with vector quantization,","venue":null,"work_id":"686e5a5a-3b69-4f0f-b387-1fc2d16fac3a","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.114034Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:05849588c56c6db7ce02cf9f397de86e3147dc315e3ec2bdb39d7b8ef7fcee9b","observation_id":"c8339afc-c00f-4f2b-863d-a15262ea6dbb","resolution":{"observed_at":"2026-08-05T21:53:36.955291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-05T21:53:25.192445Z","title":"Compressed 3d gaussian splatting for accelerated novel view synthesis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.192445Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:9468241261f0dd3f6fd505f278c7234b09028863c7a5628aa0d13c0920b4d391","observation_id":"d10b0e4e-984f-4286-aeff-dcde41765103","resolution":{"observed_at":"2026-08-05T21:53:25.192445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03822","last_updated":"2024-08-07T14:56:34Z","snapshot_observed_at":"2026-07-06T18:57:56.324828Z","submitted_at":"2024-08-07T14:56:34Z","title":"Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03822","snapshot_observed_at":"2026-08-05T21:53:25.370939Z","title":"Compact 3d gaussian splatting for static and dynamic radiance fields,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.370939Z"},"links":{"cited_paper":"/paper/2408.03822","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:6c71169ba6e430148e5e937152060b4533c908d16ee5fa1941d3c944c2aefaca","observation_id":"07485910-9592-495f-adb2-e7292c31a1f5","resolution":{"observed_at":"2026-08-05T21:53:25.370939Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:36.525431Z","title":"Eagles: Efficient accelerated 3d gaussians with lightweight encodings,","venue":null,"work_id":"e5134f13-dccc-46a5-99c3-17cdd34776e5","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.463068Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0edcb34d82267c607a70149d68e5e7d06eb817bba526354ac821f5f531a72ea3","observation_id":"2aee2fbb-fd25-420b-9f1e-0064939c58ad","resolution":{"observed_at":"2026-08-05T21:53:36.656401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:36.296146Z","title":"V olseggs: Segmentation and tracking in dynamic volumetric scenes via deformable 3d gaussians,","venue":null,"work_id":"e937ce26-8df4-4e70-8108-749044c95549","year":2026},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.536302Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:65729bf161e9bd1e37d25d2e7a6e515c212a33f3bbb6bafaca8d4d47702cee58","observation_id":"d8f117b7-dfed-4941-902d-a520deb88034","resolution":{"observed_at":"2026-08-05T21:53:36.389028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:36.155868Z","title":"Explicit-nerf-qa: A quality assessment database for explicit nerf model compression,","venue":null,"work_id":"d27e6414-91e5-4b0f-94cf-c14db55eca14","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.613542Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:2854b3580423fb37d68877a31aa611772a26d6de097b74886a550c0bc121e73b","observation_id":"90584f9e-8b37-45da-b042-0d01f7eb21a2","resolution":{"observed_at":"2026-08-05T21:53:36.222441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-05T21:53:25.708513Z","title":"Nvs-sqa: Exploring self-supervised quality representation learning for neurally synthesized scenes without references,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.708513Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:147ced4897809978c92c21f3d48592fc76171ea6f5bb9064cf697fd7b83bf4aa","observation_id":"f8a847f2-ef89-4713-8e4f-a29a409ab459","resolution":{"observed_at":"2026-08-05T21:53:25.708513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07038","last_updated":"2025-08-09T16:47:19Z","snapshot_observed_at":"2026-08-05T22:23:54.045327Z","submitted_at":"2025-08-09T16:47:19Z","title":"3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression","version":1},"cited_work":{"arxiv_id":"2508.07038","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.07038","snapshot_observed_at":"2026-08-05T21:53:29.998797Z","title":"3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression","venue":"eess.IV","work_id":"48543a15-a190-4ee6-9072-fcff1cdfe261","year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.801302Z"},"links":{"cited_paper":"/paper/2508.07038","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:c4bab17161d6243dd186054a802a542c1a12ae8dd4f476720a7b0baa0dbbeb24","observation_id":"e2d8cee1-2c59-4a08-98d6-0824a413b6cd","resolution":{"observed_at":"2026-08-05T21:53:30.082521Z","resolver_source":"local_arxiv","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":"2026-08-05T21:53:25.915415Z","title":"Quantifying and alleviating co-adaptation in sparse-view 3d gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:25.915415Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:da74e18274015f3ef1670aace3c769d94b8aefca25276215c610802410598107","observation_id":"18dcfd5c-df3f-46cb-8e35-87823dc146f9","resolution":{"observed_at":"2026-08-05T21:53:25.915415Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:36.020272Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":"1fce93ae-e924-424b-9c47-ea809c0049aa","year":2004},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.042194Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:af7ff55d1fc8ea1895eb1e26d8c243e7d2cd0c7d7d2a6042acb88f983b8c5836","observation_id":"d09ce029-f348-4617-b0fa-9326588b3cd4","resolution":{"observed_at":"2026-08-05T21:53:36.082707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:35.854887Z","title":"3dgs-ieval-15k: a large-scale image quality evaluation database for 3d gaussian-splatting,","venue":null,"work_id":"a615ce16-a7f1-450e-9e6a-218e723aa537","year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.157382Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:ceca26051dee022fdf1db7cc4435e7208de5f4793fd6b700a7c4a209dc41d0fb","observation_id":"c0e55225-5781-4a05-a51c-f337257eff89","resolution":{"observed_at":"2026-08-05T21:53:35.953395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:35.619340Z","title":"Nerf view synthesis: Subjective quality assessment and objective metrics evaluation,","venue":null,"work_id":"1d306168-c5b9-43ce-a386-f108330692aa","year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.305732Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:e24eb2cacb5dc89f84f645946dc3ed6e52391573fa4ae84cd54ad9772fc6e9c8","observation_id":"2864864e-4133-4fe8-a87e-a203edf23d5e","resolution":{"observed_at":"2026-08-05T21:53:35.736013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:35.424291Z","title":"A benchmark for gaussian splatting compression and quality assessment study,","venue":null,"work_id":"261055d3-9694-4bfd-afb6-727f71c25b05","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.446459Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0ea561711ae5e35e48e1c09b03bc68720fc51d34432cd3a417ce05dbce2e13f4","observation_id":"ad4c2906-ee46-4b94-ab14-a937374d2724","resolution":{"observed_at":"2026-08-05T21:53:35.485918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:35.203734Z","title":"Nerf-qa: Neural radiance fields quality assessment database,","venue":null,"work_id":"88925310-92bd-4029-9561-dec03f75b5e1","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.558312Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:4726dfc7e033d5995ab2ab32ef478c9fd342e8fb93802daa1d3de5d36096b5fd","observation_id":"5ccdfee9-a0ff-4fcd-a77d-e66cffd211ad","resolution":{"observed_at":"2026-08-05T21:53:35.322582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:34.966903Z","title":"Perceptual quality assessment of nerf and neural view synthesis methods for front-facing views,","venue":null,"work_id":"4af8a346-2dd5-46e0-979e-afbf56733c08","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.661978Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:ae61f23bbf8c3ee3e7a5d7c51fb3416a513f4047db2e8bbb2780176442cf73d3","observation_id":"1353eb0f-0206-4170-b54a-598b85b6a122","resolution":{"observed_at":"2026-08-05T21:53:35.097546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:34.769295Z","title":"Gs-qa: Comprehensive quality assessment benchmark for gaussian splatting view synthesis,","venue":null,"work_id":"d78f9fe1-ff7d-4060-ae97-7319b8e9836d","year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.752419Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:319f073d14749e19650013188a7294d56b568bb126a5fe2392447fee3f29e186","observation_id":"db3d38e2-94b2-4099-a64b-09e23e5e057b","resolution":{"observed_at":"2026-08-05T21:53:34.883948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2501.08072","last_updated":"2025-01-13T10:01:27Z","snapshot_observed_at":"2026-08-05T09:13:02.958061Z","submitted_at":"2025-01-13T10:01:27Z","title":"Evaluating Human Perception of Novel View Synthesis: Subjective Quality Assessment of Gaussian Splatting and NeRF in Dynamic Scenes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.08072","snapshot_observed_at":"2026-08-05T21:53:26.813701Z","title":"Evaluating human perception of novel view synthesis: Subjective quality assessment of gaussian splatting and nerf in dynamic scenes,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.813701Z"},"links":{"cited_paper":"/paper/2501.08072","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:46a5c52951baf127035fc0b1a3e6a6b72969257989909198735f56aa7ad8d933","observation_id":"a3449ef1-9006-4460-aeee-635390a6adf9","resolution":{"observed_at":"2026-08-05T21:53:26.813701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05271","snapshot_observed_at":"2026-08-05T21:53:26.882009Z","title":"Expanding performance boundaries of open-source multimodal models with model, data, and test-time scaling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.882009Z"},"links":{"cited_paper":"/paper/2412.05271","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:4a6f3081e45218a7ffa954901481eeef35b8c374fc65a119f1b2bad54df0e75c","observation_id":"ab48e6a7-7d8e-439a-9fc2-8f8dc8abde3b","resolution":{"observed_at":"2026-08-05T21:53:26.882009Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:34.543308Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"d43c1277-f7bd-4d72-b106-76e2bacc4d10","year":2022},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:26.967038Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:5717885b9a1aed52e26cbebf95ee8b74f8a1a7ddb7209f29b7b87fcbb696d763","observation_id":"f7345a14-f969-49eb-aa2a-06ace95593e4","resolution":{"observed_at":"2026-08-05T21:53:34.627980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:34.312062Z","title":"Visual instruction tuning,","venue":null,"work_id":"21eb0e32-3829-4770-9583-c920518dc0cb","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.037976Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0b6b11814ced31fc942f26454506c4fb2ed3d9d2d35188d83daf322ce5fdadb5","observation_id":"75fb0575-b4e4-4623-9f18-eed94db7b0bd","resolution":{"observed_at":"2026-08-05T21:53:34.386299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:34.081848Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":"cd928f42-362c-4fff-9711-a47c98cca1e0","year":2018},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.163491Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:e3b80a42e45995dedb1ca8041d1820647f562efada312aa336c118095557bf26","observation_id":"9a285f95-73f2-4100-a1a8-9ea2f5ea8ba0","resolution":{"observed_at":"2026-08-05T21:53:34.171207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.957301Z","title":"Improved baselines with visual instruction tuning,","venue":null,"work_id":"25b6245c-b116-4630-969b-7e6dce029d92","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.273191Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:b7a6547a09e07f6705f0f58cbbd35eb36d799c53d5995441103ebb41410c509c","observation_id":"3068dd23-eb5c-4585-9c67-2499dacff904","resolution":{"observed_at":"2026-08-05T21:53:34.006073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-08-05T21:53:27.361803Z","title":"Llava-onevision: Easy visual task transfer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.361803Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0d79cdb12a46f2dc61f25f006bae6f4077a58bb58709304a27435b00ea41b5d1","observation_id":"220acfad-2ea3-417d-8225-494db588a405","resolution":{"observed_at":"2026-08-05T21:53:27.361803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07895","last_updated":"2024-07-28T19:58:08Z","snapshot_observed_at":"2026-07-06T18:44:24.873040Z","submitted_at":"2024-07-10T17:59:43Z","title":"LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07895","snapshot_observed_at":"2026-08-05T21:53:27.440144Z","title":"Llava-next-interleave: Tackling multi- image, video, and 3d in large multimodal models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.440144Z"},"links":{"cited_paper":"/paper/2407.07895","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:f8ec1606fc49c87841b8919d622de1482160a2009884d6b53ca0a35ad3c2df4d","observation_id":"6ac06c2a-c082-4904-a5ac-1fbcd888ba59","resolution":{"observed_at":"2026-08-05T21:53:27.440144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05525","last_updated":"2024-03-11T16:47:41Z","snapshot_observed_at":"2026-08-05T16:51:32.094151Z","submitted_at":"2024-03-08T18:46:00Z","title":"DeepSeek-VL: Towards Real-World Vision-Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05525","snapshot_observed_at":"2026-08-05T21:53:27.505689Z","title":"Deepseek-vl: towards real-world vision- language understanding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.505689Z"},"links":{"cited_paper":"/paper/2403.05525","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:6297f30c97061d2b47ac388c5b2545611ab07a7bbf450c7068befecaf4730546","observation_id":"054e063e-cafd-4ed6-b06c-2c5ff873cafd","resolution":{"observed_at":"2026-08-05T21:53:27.505689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-05T21:53:27.575019Z","title":"Qwen2.5-vl technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.575019Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:357b9c4a26c01cb7ff2ad36fa9bd26a908a27ed17101a409301196b0a0c2c3c0","observation_id":"9ea1ae87-eaa1-4a0e-bcef-ca7f5e492589","resolution":{"observed_at":"2026-08-05T21:53:27.575019Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.816764Z","title":"Learning generalized spatial-temporal deep feature representation for no-reference video quality assessment,","venue":null,"work_id":"cc03caa7-951f-430e-95be-0c22c8d4b109","year":1903},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.638938Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:280b215b025163f4c2fbb3e911fe52025add28a2690adbf974257fadebf1a647","observation_id":"56f260d8-d787-4cd3-a1f8-0115811051cf","resolution":{"observed_at":"2026-08-05T21:53:33.887526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.605743Z","title":"Blind image quality assessment using a deep bilinear convolutional neural network,","venue":null,"work_id":"570d6f0e-fa68-4fd7-9e36-8a96f90a0316","year":2020},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.748140Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:5649c3fbad054ef577ab9eae649ac4fb108bfeaa212584cd6cba11f2d9027a6e","observation_id":"fd3975f2-6486-4d28-8667-361b451b0649","resolution":{"observed_at":"2026-08-05T21:53:33.723359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.415833Z","title":"Blindly assess image quality in the wild guided by a self-adaptive hyper network,","venue":null,"work_id":"9dedd641-95cb-4dcb-9f4f-522a6c2e993c","year":2020},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.834649Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:494bb61a4cbc23c1b436763cc438054131675f0423ff802295a2e0bfce73370c","observation_id":"3a2d210b-efe6-4415-8480-216e6b78eaeb","resolution":{"observed_at":"2026-08-05T21:53:33.531545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.238098Z","title":"Musiq: Multi- scale image quality transformer,","venue":null,"work_id":"3cad7b0a-2e37-45c5-b0b3-8265b4a41f17","year":2021},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.896222Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:406864e7834a2fcdb6b41af4e638e06e68ea4601abebf8c01723f64ec5d07b2e","observation_id":"aec1fbab-da03-471a-8d0d-6876914b7d20","resolution":{"observed_at":"2026-08-05T21:53:33.300504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:33.053197Z","title":"Pqa-net: Deep no reference point cloud quality assessment via multi- view projection,","venue":null,"work_id":"6382a464-a120-4657-8446-63e5f4995210","year":2021},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.953523Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:1e0d23b00d9528b18962c8949099fc9036f4fd2704ffe927291ab02f9f8ec62f","observation_id":"3f621a5b-bd2a-45ae-a97a-5aef5e305df3","resolution":{"observed_at":"2026-08-05T21:53:33.147970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.876470Z","title":"Nerf-nqa: No-reference quality assessment for scenes generated by nerf and neural view synthesis methods,","venue":null,"work_id":"c437e4f2-e179-4be8-94f4-6625b97eb295","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.021390Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0cbacb7139eede1d2795b9f27f233faebc691cae86e06cd26ae955f14b8f9960","observation_id":"631f900c-e98e-4cab-a4d0-7debc541def0","resolution":{"observed_at":"2026-08-05T21:53:32.939135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.736681Z","title":"Mip-nerf 360: Unbounded anti-aliased neural radiance fields,","venue":null,"work_id":"b9624f09-5fc9-49f7-8616-f3811af853dc","year":2022},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.082435Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:784c96a8a5a8ec658bc09984858c1d8309385e50b1940d4dac57d0dedbd7a1bd","observation_id":"8f8c16dd-48af-49b6-8da1-08e27f07c74a","resolution":{"observed_at":"2026-08-05T21:53:32.812880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-05T21:53:28.143392Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.143392Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:5319e338c1e84754fcf8feee28c935bf12d0a00b228ac35f20cf95163fbe2987","observation_id":"e2819b86-3f32-40b2-ab12-0bfca5e01a24","resolution":{"observed_at":"2026-08-05T21:53:28.143392Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.532278Z","title":"Deep blending for free-viewpoint image-based rendering,","venue":null,"work_id":"fe62fead-cfd9-4500-a293-ce4001fa9a6e","year":2018},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.232010Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:1dc882ec3db0f3048c06d485d8152a84e07aefa52f2cce006ae6f2daa9d75f4d","observation_id":"15f7c4f7-2ea1-4698-9a4b-77986ab7a27b","resolution":{"observed_at":"2026-08-05T21:53:32.637448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.365957Z","title":"Subjective video quality assessment methods for multimedia applications,","venue":null,"work_id":"d44cfcba-591d-416f-8a92-8756403586ec","year":1999},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.358515Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:d617d9ab59838b14d0972f982522370823491d4bcd1be92fd09ba4da729a0544","observation_id":"4d735f70-6b85-402b-b284-415512479fa4","resolution":{"observed_at":"2026-08-05T21:53:32.438912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.202417Z","title":"500-14, methodologies for the subjective assessment of the quality of television images,","venue":null,"work_id":"ffc51168-5ccf-4922-b4f8-cf8744bd87ca","year":2019},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.432981Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:c0d8efce003675d4904761ea4e96401c15f62bbfdddedfd4a21d22e9b86cac35","observation_id":"1d68e7b4-002a-4472-9bd8-de2dc133fd53","resolution":{"observed_at":"2026-08-05T21:53:32.276529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-05T21:53:28.494330Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.494330Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:c78b11cc77e478b77573caaf341c74f63024800cfea6eb72debe3118c73c6cc3","observation_id":"8d750bd7-b950-4950-abbf-760f60140f90","resolution":{"observed_at":"2026-08-05T21:53:28.494330Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:32.055203Z","title":"Methodology for the subjective assessment of the quality of television pictures,","venue":null,"work_id":"9741be58-5e64-40b4-bb58-40f6159696bd","year":2012},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.566371Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:9e931d98130bc3e2d480629dc890db5c84c9300d97e3379041de895520cac4fb","observation_id":"aa46ac57-b32b-420b-9aff-19105883e493","resolution":{"observed_at":"2026-08-05T21:53:32.113429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-05T21:53:28.644642Z","title":"Multiscale structural similarity for image quality assessment,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.644642Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:dea4bea5428b75a063436ca85b1df37bb245f12bdee9277868c16a324153668f","observation_id":"1b565f1b-5fcc-4fb1-994b-660ec2257f9f","resolution":{"observed_at":"2026-08-05T21:53:28.644642Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.922231Z","title":"Information content weighting for perceptual image quality assessment,","venue":null,"work_id":"d7d8af2b-e985-46d3-b7d2-eb0a3a1a7724","year":2010},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.711970Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:46d1521f2c85cba1c33877e28d2ca92687af0c1d21e69d1c89908a632c0a91da","observation_id":"565c1352-6402-4a17-84cb-4b92985e4df8","resolution":{"observed_at":"2026-08-05T21:53:31.981501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.787238Z","title":"Image information and visual quality,","venue":null,"work_id":"afcb0ab8-a6eb-4d47-8ad6-803b19d53218","year":2006},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.776191Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:ede18f1d7bbcfc15aa6ae4db4e906dbe88b28fe15ef3b530e270e6fce857069e","observation_id":"644aaf95-2837-41a2-91c1-0283b767e38d","resolution":{"observed_at":"2026-08-05T21:53:31.845654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.609286Z","title":"Fsim: A feature similarity index for image quality assessment,","venue":null,"work_id":"edd2eba8-49da-4c48-be00-e6e0260c8c64","year":2011},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:28.929105Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:180fe45ffd783a557027f37177653c9182e2551f6939523abe40708cbd0449bf","observation_id":"d25bb710-918c-41ed-8a5a-e9b00c58a276","resolution":{"observed_at":"2026-08-05T21:53:31.698164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.488710Z","title":"No-reference image quality assessment in the spatial domain,","venue":null,"work_id":"5d286a89-d611-4482-b211-1cfc070f6415","year":2012},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.010218Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:306d3f999bf71eec4c825ea39514699da7874b89189caaeeff09cc77c00b2c87","observation_id":"17c19a81-c818-4e6c-941e-d3de4a75db6d","resolution":{"observed_at":"2026-08-05T21:53:31.544713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.328691Z","title":"Image quality assessment: Unifying structure and texture similarity,","venue":null,"work_id":"b3a0275e-0a67-4f1d-b388-545764eb806a","year":2020},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.066222Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0c2da4c5e7560532a6ef0a6637d7c8abfaf83085ce21852711847ef3fc9196a4","observation_id":"09c1a414-54d9-4de2-9577-39f768f6d8ef","resolution":{"observed_at":"2026-08-05T21:53:31.401710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2408.04840","last_updated":"2024-08-13T08:10:32Z","snapshot_observed_at":"2026-07-06T18:58:39.334273Z","submitted_at":"2024-08-09T03:25:42Z","title":"mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04840","snapshot_observed_at":"2026-08-05T21:53:29.121248Z","title":"mplug-owl3: Towards long image-sequence understanding in multi-modal large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.121248Z"},"links":{"cited_paper":"/paper/2408.04840","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:fbdec47fa98f3c06a5c0bbaf348f417f060fef8ed5f0ced05a47029571b4f08e","observation_id":"13d78038-614a-4f76-b6ee-4e875293a278","resolution":{"observed_at":"2026-08-05T21:53:29.121248Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.228050Z","title":"Exploring clip for assessing the look and feel of images,","venue":null,"work_id":"c844028b-e9af-4050-aa69-4bd13366fbdf","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.195966Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:0cb3c0ee1f0675382c5b0926a82b6e0617e377663f94ce5fd8983b605275c98b","observation_id":"7696d186-47be-438c-b40f-da4773a9d2bb","resolution":{"observed_at":"2026-08-05T21:53:31.272408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:31.087560Z","title":"Cogagent: A visual language model for gui agents,","venue":null,"work_id":"3db5180d-c44e-4738-8b4d-d84672374d2e","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.280602Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:75edd09bdacdaa1f9234086eca4639f95297581a3f41e96873375b3d56bd8d1a","observation_id":"83d94a09-b4d3-4913-8eef-46e4270d57dc","resolution":{"observed_at":"2026-08-05T21:53:31.152094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-05T21:53:29.452860Z","title":"Gemini 1.5: Unlocking mul- timodal understanding across millions of tokens of context,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.452860Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:a481e0b606129902b1ea2ce1b24508b0c5d2826759bf06fb10648a13d92ea2ab","observation_id":"4a1aa6c9-bc38-4300-b810-807649818330","resolution":{"observed_at":"2026-08-05T21:53:29.452860Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.975894Z","title":"Q-align: Teaching lmms for visual scoring via discrete text-defined levels,","venue":null,"work_id":"85b2af72-d1c7-4eca-b5b4-85572b196599","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.523580Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:3a0cc07766e107aed4d203e4d1591e535b566b02348f87e209310f24ffb29a84","observation_id":"6f76a5bc-abab-42f7-867f-b721b0574720","resolution":{"observed_at":"2026-08-05T21:53:31.028718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.831360Z","title":"LLaMA 3.2: Revolutionizing Edge AI and Vision with Open, Customizable Models,","venue":null,"work_id":"8fa75c72-c4ce-4ba3-9014-501916f63322","year":2024},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.589967Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:81ee68c19c9cfb4ee7264a62f32988d2eb0297bea38b8b0934f62307cf802078","observation_id":"fb9cc588-a3de-4aea-ae06-7ea29a8d82d2","resolution":{"observed_at":"2026-08-05T21:53:30.915949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.698980Z","title":"No-reference im- age quality assessment via transformers, relative ranking, and self- consistency,","venue":null,"work_id":"b1490365-976b-4864-b193-ea380dbde06b","year":2022},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.639340Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:d902508d60cf7556c5da2c4ea712f772df74db48bb6f3344e78c451e99da9eab","observation_id":"8bbafe23-6d4e-49c7-a52f-b8a33bf881b6","resolution":{"observed_at":"2026-08-05T21:53:30.756800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.475720Z","title":"Maniqa: Multi-dimension attention network for no-reference image quality assessment,","venue":null,"work_id":"a5eb3cae-1981-4bf8-8fbc-3453da11b9dc","year":2022},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.695222Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:2b92b2fac7e9a84dc9cff2620c78e64593eb4fa5abb48f585f163e64656a94f5","observation_id":"657805a9-a207-49b8-bcb2-53b9e666c187","resolution":{"observed_at":"2026-08-05T21:53:30.618461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.349500Z","title":"Blind quality assessment for in-the- wild images via hierarchical feature fusion and iterative mixed database training,","venue":null,"work_id":"5b4f01c8-cd45-4212-a199-33b626fe88e9","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.747015Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:52e9c56db897a4c7ca4f97791bd4158394ed94ae1154f355a63cacd1aa420fb4","observation_id":"e6cfc42d-0c7d-4780-8e9e-8c22d853272f","resolution":{"observed_at":"2026-08-05T21:53:30.408419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:53:30.246377Z","title":"Blind image quality assessment via vision-language correspondence: A multitask learning perspective,","venue":null,"work_id":"5aecc14d-0b28-4e17-a131-344f62c7b0fa","year":2023},"citing_paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:29.808895Z"},"links":{"citing_paper":"/paper/2608.03279"},"observation_digest":"sha256:b7a48ec3a36095b468121f8d0c28dc1077743eb8cc7358ffb8fc36f9b2445979","observation_id":"84cf4ab1-0ff8-435a-9180-c74485faeb4a","resolution":{"observed_at":"2026-08-05T21:53:30.293195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2608.03279","last_updated":"2026-08-04T07:53:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T09:12:05.757194Z","submitted_at":"2026-08-04T07:53:14Z","title":"3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":44},"total_outbound_references":60},"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 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.03279."}