{"as_of":"2026-08-10T16:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4942660cef449aa9d1405cabdd0dd05527a321fa5434fa7c97c04a869c545141","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:21:32.808096Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2509.00741/citation-record","integrity":"/paper/2509.00741/integrity","json":"/paper/2509.00741/citation-record.json","paper":"/paper/2509.00741"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:36.006363Z","title":"A survey of state-of-the-art on visual slam,","venue":null,"work_id":"d0f8aaa8-35f4-4723-9568-ff96b9481e22","year":2022},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:30.916282Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:b0817336605f0d95f0f1e33b640d540925dc7d349d2e71846cdfe6fd2d38f401","observation_id":"107b3ca5-3eb9-4fee-b66f-0ca83aee75f3","resolution":{"observed_at":"2026-08-05T13:21:36.009618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13255","last_updated":"2025-03-27T14:03:25Z","snapshot_observed_at":"2026-08-09T23:56:28.924180Z","submitted_at":"2024-02-20T18:59:57Z","title":"How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13255","snapshot_observed_at":"2026-08-05T13:21:31.013257Z","title":"How nerfs and 3d gaussian splatting are reshaping slam: a survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.013257Z"},"links":{"cited_paper":"/paper/2402.13255","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:5bf50174e09c41f51fa28e714a340da7e762fad87e8d85c61f48abb74477debb","observation_id":"c2b1d851-3724-480b-a3d4-7d7c1d638870","resolution":{"observed_at":"2026-08-05T13:21:31.013257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01189","last_updated":"2024-05-16T14:19:52Z","snapshot_observed_at":"2026-08-09T00:30:39.043886Z","submitted_at":"2024-01-02T12:35:03Z","title":"NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic environments","version":2},"cited_work":{"arxiv_id":"2401.01189","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01189","snapshot_observed_at":"2026-08-05T13:21:33.225496Z","title":"NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic environments","venue":"cs.RO","work_id":"a6cb35e1-c954-40e5-b6d4-b044fe07891a","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.103672Z"},"links":{"cited_paper":"/paper/2401.01189","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:4be6f10ce6a1754f6cffd1497a0d048b01929f699c024b453eb0f9b9d392ee17","observation_id":"6e588f09-983d-4c61-93b9-dc27a5f7186b","resolution":{"observed_at":"2026-08-05T13:21:33.312087Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.993694Z","title":"A survey of visual slam in dynamic environment: the evolution from geo- metric to semantic approaches,","venue":null,"work_id":"83ed3051-ebb6-4789-94f3-4213c5518fdf","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.170587Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:9b14393a1670ca78c274af3af6ebb51418c535ad28937b56e963cdc218291b36","observation_id":"159fe994-8081-4ee7-85c7-789e34ddb4e4","resolution":{"observed_at":"2026-08-05T13:21:35.998296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.812617Z","title":"Dm- slam: A feature-based slam system for rigid dynamic scenes,","venue":null,"work_id":"ca72167b-7730-471d-aced-f72eb6972e04","year":2020},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.257349Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:4a61836642854e05fab7e3446673ef3249a702de6c8938b731b4f6634f796c2d","observation_id":"2d271da4-0216-41e9-8a05-a5663001942a","resolution":{"observed_at":"2026-08-05T13:21:35.897851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.641425Z","title":"Orb-slam3: An accurate open-source li- brary for visual, visual–inertial, and multimap slam,","venue":null,"work_id":"ad5c0c17-9070-489a-bc7e-3a0a646166ac","year":2021},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.278344Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:79f14d1465add65cc372a5b41d855f0ad2ff4c8f3beb762a0590b4ff67dba5a6","observation_id":"edeae83e-acda-469f-992a-62e2d55f319f","resolution":{"observed_at":"2026-08-05T13:21:35.736277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.454908Z","title":"Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,","venue":null,"work_id":"911742e9-a966-4129-a032-5cdb58f1ec39","year":2018},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.317293Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:37c80b77d210b15e33a28461de746c57f5f53a819961f9d759cf9b8c49dfcd4c","observation_id":"13296793-bb49-403a-b4b0-10d798d6e99e","resolution":{"observed_at":"2026-08-05T13:21:35.563419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.270306Z","title":"Rodyn-slam: Robust dynamic dense rgb-d slam with neural radiance fields,","venue":null,"work_id":"68047c6d-26a8-44c9-8445-cdd8bb5da3ae","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.388267Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:34ddb08336215373b03f5cabba78684483c7dfa28471ea3f6ec4985420416008","observation_id":"e8b27914-2ff6-4680-aad8-742c77229566","resolution":{"observed_at":"2026-08-05T13:21:35.349292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:35.086127Z","title":"3d gaussian splatting for real-time radiance field rendering.,","venue":null,"work_id":"f3628e60-4da1-40e2-afe3-e6e87302a696","year":2023},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.464424Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:195055b80791876259d2e204bf371fb233c55e3c7485aa2356aee32a106dc652","observation_id":"8442d8cb-de2c-48eb-963d-39d6b06fd22d","resolution":{"observed_at":"2026-08-05T13:21:35.130122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12262","last_updated":"2024-12-19T03:23:32Z","snapshot_observed_at":"2026-08-09T17:05:34.074356Z","submitted_at":"2024-10-16T05:59:33Z","title":"3D Gaussian Splatting in Robotics: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12262","snapshot_observed_at":"2026-08-05T13:21:31.543862Z","title":"3d gaussian splatting in robotics: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.543862Z"},"links":{"cited_paper":"/paper/2410.12262","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:1bdb8485d1afd70542d768d6f963b57d535ab505daaf29924b14671fdf428e26","observation_id":"fde64ef4-2e69-4853-a9c4-bccc3246a588","resolution":{"observed_at":"2026-08-05T13:21:31.543862Z","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":"2026-08-05T13:21:34.921428Z","title":"Gs-slam: Dense visual slam with 3d gaussian splatting,","venue":null,"work_id":"83a4282f-7c0f-49e0-8e9e-b7bce1d29ed4","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.645745Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:aad94d7d4d8cd7076ff2628524de6119d8023afaf9ba85488c77b938fe310618","observation_id":"e0b9ab9c-1151-4f86-afff-1bcdf1927dd6","resolution":{"observed_at":"2026-08-05T13:21:35.001925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:34.713225Z","title":"Splatam: Splat track & map 3d gaussians for dense rgb-d slam,","venue":null,"work_id":"121b8415-4562-4cd1-8748-51ab0e644d7f","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.730417Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:ed290b40a15c72b806dc6ab72ffae79cf6946663087bb721db3ee543ad2d6421","observation_id":"824a559f-8497-41ac-a5c4-4fd51308eace","resolution":{"observed_at":"2026-08-05T13:21:34.808725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:34.554728Z","title":"Photo- slam: Real-time simultaneous localization and photorealistic mapping for monocular stereo and rgb-d cameras,","venue":null,"work_id":"ef452935-d99e-47ec-abbf-1c71ee238567","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.820209Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:1e957b8ced671f44027e6769b2fa056fe6eec0d6ca3baa05d51b4bfaf013b0df","observation_id":"b41de587-6c0f-4b88-a77f-2a6ce5ab4ce0","resolution":{"observed_at":"2026-08-05T13:21:34.636727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10722","last_updated":"2024-11-16T07:02:46Z","snapshot_observed_at":"2026-08-09T03:20:18.112250Z","submitted_at":"2024-11-16T07:02:46Z","title":"DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10722","snapshot_observed_at":"2026-08-05T13:21:31.929262Z","title":"Dgs- slam: Gaussian splatting slam in dynamic environment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:31.929262Z"},"links":{"cited_paper":"/paper/2411.10722","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:4a4ad59a41483371d2d1d4116c8cb046e09d60164c894cdf0281c5777717d12f","observation_id":"c2d23021-92e5-420f-85cd-c55010612a39","resolution":{"observed_at":"2026-08-05T13:21:31.929262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08373","last_updated":"2024-11-13T06:46:18Z","snapshot_observed_at":"2026-07-06T19:49:34.518432Z","submitted_at":"2024-11-13T06:46:18Z","title":"DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08373","snapshot_observed_at":"2026-08-05T13:21:32.009107Z","title":"Dg-slam: Robust dynamic gaussian splatting slam with hybrid pose optimization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.009107Z"},"links":{"cited_paper":"/paper/2411.08373","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:fb2f0d925b73d58f9c871f8db5f716bd1eb14e1568d142b239b680820795dfd3","observation_id":"6de6e015-b995-4218-ae3f-c6ca07ed65d0","resolution":{"observed_at":"2026-08-05T13:21:32.009107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07392","last_updated":"2025-06-16T21:22:00Z","snapshot_observed_at":"2026-08-07T08:07:29.831388Z","submitted_at":"2024-05-12T23:00:53Z","title":"NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU","version":3},"cited_work":{"arxiv_id":"2405.07392","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.07392","snapshot_observed_at":"2026-08-05T13:21:33.083784Z","title":"NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU","venue":"cs.RO","work_id":"27448a7a-d4d2-4c32-badd-819d31176f06","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.110874Z"},"links":{"cited_paper":"/paper/2405.07392","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:ff4d6d3f40c8e8f4cc8f998e87041e72ebb571a447b69fdda7a111241b495945","observation_id":"44d96118-892b-439d-9dda-c60ff316e811","resolution":{"observed_at":"2026-08-05T13:21:33.111868Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:34.409699Z","title":"The levenberg-marquardt algorithm,","venue":null,"work_id":"5e96459a-0fb3-4a05-9574-cb6421daa692","year":2004},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.189692Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:21398d5fe30c003d4c7944215e2d25bb2eccca59a013d939a0adf5d18e06bcbc","observation_id":"3e80d5f0-fa61-4037-b7d1-0878b11bb9d4","resolution":{"observed_at":"2026-08-05T13:21:34.477875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:34.214283Z","title":"Stochastic gradient descent,","venue":null,"work_id":"5ea90660-b336-4327-81da-5c06ffba8843","year":2017},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.294596Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:6e212e9c063eded9cda3cd4d67bc978d5069fd24d47c6254fa91aab20f3e3f65","observation_id":"a8e1706b-004d-4901-a638-2cea218e05bd","resolution":{"observed_at":"2026-08-05T13:21:34.311310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:34.004555Z","title":"A benchmark for the evaluation of rgb-d slam systems,","venue":null,"work_id":"179a8618-20bf-4db1-adb9-1196ec4b0926","year":2012},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.402124Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:31ce39b3d0856493886d83a4eb7786fe0736710d6eb85671acf6abf29ec81781","observation_id":"984ad772-cc24-413d-8aa1-6de7317155de","resolution":{"observed_at":"2026-08-05T13:21:34.103278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:33.801130Z","title":"Refusion: 3d reconstruction in dynamic environments for rgb-d cameras exploiting residuals,","venue":null,"work_id":"92b44bff-d690-4b49-94aa-c562b37af3e4","year":2019},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.513842Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:bcbe228e122f26fa77c98799a4c1fe86df3242c426335dc5f94c7f65e0ec9ff2","observation_id":"d5c90088-a211-4b11-8df2-7fc830901047","resolution":{"observed_at":"2026-08-05T13:21:33.902729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:33.637253Z","title":"Nice-slam: Neural implicit scalable encoding for slam,","venue":null,"work_id":"c93b4d06-f3a8-4b0f-9d87-0e1dfaf47216","year":2022},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.621775Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:22fbaceb5d02846757d16a6781009950b90fde45406491b3549bd6cee4aef191","observation_id":"5799b9b7-f8d8-4d13-b3f9-5f3ed75791ee","resolution":{"observed_at":"2026-08-05T13:21:33.723969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:21:33.409247Z","title":"Eslam: Efficient dense slam system based on hybrid representation of signed distance fields,","venue":null,"work_id":"74c6c06c-95e5-4a1f-8024-1981f1e8aea0","year":2023},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.704084Z"},"links":{"citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:9f08b60048556e84ef918ee43a0322b2dfa54cd6ce0faddcd866e4763b33ef08","observation_id":"cf28dc71-0df8-412b-9841-17d98d9778dc","resolution":{"observed_at":"2026-08-05T13:21:33.501221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15476","last_updated":"2024-11-23T07:09:56Z","snapshot_observed_at":"2026-08-08T01:06:06.697416Z","submitted_at":"2024-11-23T07:09:56Z","title":"Gassidy: Gaussian Splatting SLAM in Dynamic Environments","version":1},"cited_work":{"arxiv_id":"2411.15476","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.15476","snapshot_observed_at":"2026-08-05T13:21:32.962173Z","title":"Gassidy: Gaussian Splatting SLAM in Dynamic Environments","venue":"cs.RO","work_id":"bc4e02ed-9de8-4596-be6a-652421a6a995","year":2024},"citing_paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:21:32.808096Z"},"links":{"cited_paper":"/paper/2411.15476","citing_paper":"/paper/2509.00741"},"observation_digest":"sha256:5b63f26fd10de821e9672bac6081bba4c38779576a93486d34794c037590ed50","observation_id":"88ca3128-2964-4e56-a7df-f93269ced556","resolution":{"observed_at":"2026-08-05T13:21:33.042250Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00741","last_updated":"2025-08-31T08:22:29Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T10:51:12.635263Z","submitted_at":"2025-08-31T08:22:29Z","title":"DyPho-SLAM : Real-time Photorealistic SLAM in Dynamic Environments"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":16},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.00741."}