{"as_of":"2026-08-07T23:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9caa2896bdaa34770b7d48774bfb89320ad6dbf5dd9999de23b0af3adb885e5b","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:56:22.212940Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"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/2507.01603/citation-record","integrity":"/paper/2507.01603/integrity","json":"/paper/2507.01603/citation-record.json","paper":"/paper/2507.01603"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:23.283355Z","title":"Universal guidance for diffusion models","venue":null,"work_id":"ae8caeff-53ce-4149-8552-dd53593f42eb","year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.428176Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:e11bc35b4f8a70983d0992e6520d76a00b3cdf7ed9842874166f5de728c7c0fa","observation_id":"b60e1200-10f1-40b8-b6c0-ba493854b460","resolution":{"observed_at":"2026-08-06T20:56:23.287334Z","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":"2026-08-06T20:56:21.551387Z","title":"Adabins: Depth estimation using adaptive bins","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.551387Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:a18914783a55a028918eee9a4bdb9ed5a2c5abd6316f7a86b86c09f301e3e899","observation_id":"fdadde07-7358-485d-a6da-b7181051b9f8","resolution":{"observed_at":"2026-08-06T20:56:21.551387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12288","last_updated":"2023-02-23T19:13:10Z","snapshot_observed_at":"2026-07-06T14:55:15.719380Z","submitted_at":"2023-02-23T19:13:10Z","title":"ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12288","snapshot_observed_at":"2026-08-06T20:56:21.660637Z","title":"Zoedepth: Zero-shot trans- fer by combining relative and metric depth.arXiv preprint arXiv:2302.12288, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.660637Z"},"links":{"cited_paper":"/paper/2302.12288","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:cd9b0d9db2f8fb1e87824ac9013322f7d64844a68ab340dcde81c8c6ff72ffb1","observation_id":"2c8358fa-54b7-4af9-9dc7-2f1782981892","resolution":{"observed_at":"2026-08-06T20:56:21.660637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-06T20:56:21.839527Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets.arXiv preprint arXiv:2311.15127, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.839527Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:8cfc8c1626dc8055bcd31fea12e4f41bceee25f31c4e0e8e13996a2812184a6a","observation_id":"d975d547-23eb-41a9-a69e-b3721e3286a6","resolution":{"observed_at":"2026-08-06T20:56:21.839527Z","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":"2026-08-06T20:56:23.243556Z","title":"Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera","venue":null,"work_id":"7ed9265e-e20e-4af5-ab68-2581627e233e","year":2019},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.924420Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:a1a5082ac80ddc900ae52033231d62c0675a7ec49027cb26c032ff8d08e84c8c","observation_id":"7681573c-3bee-4e1a-9b0b-02294c895608","resolution":{"observed_at":"2026-08-06T20:56:23.258207Z","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":"2026-08-06T20:56:23.209083Z","title":"Diffusion posterior sampling for general noisy inverse problems","venue":null,"work_id":"b51e6384-20aa-4c13-a369-9e9394e6a024","year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.929019Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:8f3c0766342ee89f95a025393b46eaabfc952525ccf3bcf8e6a0e60f9615f7dd","observation_id":"67a69680-0452-4b08-9103-fae601a9ac8e","resolution":{"observed_at":"2026-08-06T20:56:23.223561Z","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":"2026-08-06T20:56:21.933139Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.933139Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2bb354d257e139d4b00641f9da38e9fdeae1dc057fa8bca51a217a770a9e1ed1","observation_id":"ce9ee83f-f699-42d6-b505-69033016ffe4","resolution":{"observed_at":"2026-08-06T20:56:21.933139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:21.937657Z","title":"Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.937657Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:02ccac732bfe649b3ba684799f1fd8d0b62a611a8c6ce66a8fad64a4dcfa3dc6","observation_id":"b586e268-c220-453f-9b9b-339b87c49017","resolution":{"observed_at":"2026-08-06T20:56:21.937657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:21.942412Z","title":"Towards real-time monocular depth estimation for robotics: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(10):16940–16961,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.942412Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:bd6b60d6230b81559658172993031a27fefb84478e488237d41e8578a74e183e","observation_id":"39a27350-4dc1-40cb-be03-939b8fc8ddb1","resolution":{"observed_at":"2026-08-06T20:56:21.942412Z","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":"2026-08-06T20:56:23.163318Z","title":"Mal: Motion-aware loss with temporal and distillation hints for self-supervised depth estimation","venue":null,"work_id":"c4e5cabf-6013-424e-a5c4-d5c6788b77f0","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.946607Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:a68afcd52ec01c34424af59e4ed1852361ea8627665cfad5353183c2c97a6894","observation_id":"a91a1c81-ebba-4c3c-94fe-f06ce6efed28","resolution":{"observed_at":"2026-08-06T20:56:23.169582Z","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":"2026-08-06T20:56:21.950688Z","title":"Depth map prediction from a single image using a multi-scale deep net- work.Advances in neural information processing systems, 27, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.950688Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:0ae4ee5d3e4b51ede67d29d87f1380ddcc97c02c8ec5fc50f347f07ee240ee76","observation_id":"9b896a3d-8c6c-4f46-a6d5-1142f9022fe7","resolution":{"observed_at":"2026-08-06T20:56:21.950688Z","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":"2026-08-06T20:56:23.138084Z","title":"Diffusion self-guidance for control- lable image generation.Advances in Neural Information Processing Systems, 36:16222–16239, 2023","venue":null,"work_id":"c2b17dd4-5712-4efe-8d15-bd2f4beb8ca7","year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.954839Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:39fcfb011d2c86a0f1bdfb17a030484c23b45681bcd757f5eb0d807cfbc0b7d8","observation_id":"b8fa8e75-f11f-4803-861e-e48a2b1a6cf0","resolution":{"observed_at":"2026-08-06T20:56:23.143425Z","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":"2026-08-06T20:56:23.123152Z","title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981","venue":null,"work_id":"ea800d9d-b0ff-4aea-8243-ea8602647cb3","year":1981},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.959218Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2a4eff096d9c6d8edae5656c58e44242f74eb9b8004b03211b905c89d681297b","observation_id":"1863481c-1058-4ce0-9f76-6b32f444c4b1","resolution":{"observed_at":"2026-08-06T20:56:23.128106Z","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":"2026-08-06T20:56:21.963418Z","title":"Deep ordinal regression net- work for monocular depth estimation","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.963418Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:fb4ba3f16b4e173ae2d3a3f96d443d99ddf527eba47afcbd431cd148fe11d6b3","observation_id":"3f844070-4489-4d64-93e5-8c063649e5b8","resolution":{"observed_at":"2026-08-06T20:56:21.963418Z","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":"2026-08-06T20:56:23.096324Z","title":"Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image","venue":null,"work_id":"83221752-afec-469f-83d9-123cbe36364d","year":2025},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.967789Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:ff1f6a7bf85fc2fe70808f581a4c134b4483fe3633c6fb94b7ee06901b9d2454","observation_id":"8479a4a2-7aae-482d-bffb-bc2a61697393","resolution":{"observed_at":"2026-08-06T20:56:23.102668Z","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":"2026-08-06T20:56:23.080220Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"de9f92fa-0c32-4961-8ed1-f72940069965","year":2012},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.972691Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:bc2fa91163b2866961541ca3a48cd82ca92c7a69fa58aacb9cf61c445b40c4b8","observation_id":"4079d7b8-395c-4ba8-a7cd-d735e2bd0104","resolution":{"observed_at":"2026-08-06T20:56:23.084920Z","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":"2026-08-06T20:56:23.065036Z","title":"Multiview rgb-d dataset for object instance detection","venue":null,"work_id":"ea23a245-947f-4595-a384-929024cc57f0","year":2016},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.977427Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:53c74d85a3c1ac871040d55cc31515a59f4914773c3203e5db083da87ffc965e","observation_id":"5bf562e7-279a-4f20-8cd2-400ef870af92","resolution":{"observed_at":"2026-08-06T20:56:23.070116Z","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":"2026-08-06T20:56:23.050173Z","title":"Diffusion models as plug-and-play pri- ors.Advances in Neural Information Processing Systems, 35:14715–14728, 2022","venue":null,"work_id":"68084550-ef30-4be7-bd6b-25a804d2b720","year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.982291Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:b57cb844ebb16194f029be5743efb6dbbcebf0c3ba34513d715e487d06ba49cb","observation_id":"e4642774-097e-4b12-ad1f-b4f50faba3dc","resolution":{"observed_at":"2026-08-06T20:56:23.055065Z","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":"2026-08-06T20:56:23.035484Z","title":"Pm-huber: Patchmatch with huber regularization for stereo matching","venue":null,"work_id":"bd887c9d-9987-4e29-ae9d-9fb54c4416e0","year":2013},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.987498Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:5b4731c815204b021ee11c0cba44cf15127f9f1a72cfd202aaf1613ade6a84ca","observation_id":"e0ccf055-d634-44ec-96ca-0cc774ce72e5","resolution":{"observed_at":"2026-08-06T20:56:23.040110Z","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":"2026-08-06T20:56:23.020529Z","title":"Video dif- fusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022","venue":null,"work_id":"a76d7ed2-b9ec-4b9f-b1b7-3bfc35469633","year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.992486Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:11c345ec9cd36ec931460b2f1faaab69cc40d27c5da4b71dd22b91b9e897b803","observation_id":"114cd5f0-cf86-4e0e-8c1a-3ea811640efc","resolution":{"observed_at":"2026-08-06T20:56:23.025168Z","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":"2026-08-06T20:56:21.997330Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:21.997330Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:69072af68905730437df9037ca45c2bdaaa552c49a644b1108fc013611b1da8e","observation_id":"c712767c-0419-4550-bf94-fad990a7e770","resolution":{"observed_at":"2026-08-06T20:56:21.997330Z","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":"2026-08-06T20:56:22.995022Z","title":"Depthcrafter: Generating consistent long depth sequences for open-world videos","venue":null,"work_id":"d55a990d-45e5-4997-8c7b-bca749ac3c21","year":2005},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.002222Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:70e8de5a4cc8982780f0e81351858bcd0569e0ef783a663279783391b8c56fee","observation_id":"ee185d0e-b867-4155-8608-5a316d553dc2","resolution":{"observed_at":"2026-08-06T20:56:22.999876Z","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":"2026-08-06T20:56:22.980300Z","title":"2d gaussian splatting for geometrically ac- curate radiance fields","venue":null,"work_id":"ad472726-7a61-4732-8691-5d1409275223","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.006992Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:959834d003e6561ffac42417a780f7f4246f5fbf8f71652f57a03067d774cf2b","observation_id":"65d47e7c-f357-41ee-80c6-fbba8352ae74","resolution":{"observed_at":"2026-08-06T20:56:22.985418Z","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":"2026-08-06T20:56:22.011398Z","title":"Ddp: Diffusion model for dense visual prediction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.011398Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:1a8101d34feaa502c9adaf858aeaff2c3f9af445fe00e14e7b3f28c789e15fe5","observation_id":"2364b7b4-9b97-4538-a11e-24e8c932e283","resolution":{"observed_at":"2026-08-06T20:56:22.011398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11831","last_updated":"2024-10-15T17:56:32Z","snapshot_observed_at":"2026-08-03T21:35:04.144048Z","submitted_at":"2024-10-15T17:56:32Z","title":"CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11831","snapshot_observed_at":"2026-08-06T20:56:22.016598Z","title":"Co- tracker3: Simpler and better point tracking by pseudo- labelling real videos.arXiv preprint arXiv:2410.11831,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.016598Z"},"links":{"cited_paper":"/paper/2410.11831","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:4715c549f7b524d20502a28fa410b520b614422b1a0160c96fc416591552a526","observation_id":"39373bed-7e21-46e9-8d74-122415b8e344","resolution":{"observed_at":"2026-08-06T20:56:22.016598Z","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":"2026-08-06T20:56:22.954720Z","title":"Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022","venue":null,"work_id":"bd179560-cfdb-41f8-8b69-611ba73a02f0","year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.021601Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:1b2e30b5cc01ceeab0f8fe9033257593685689c787f21c36d6462c8b1b9e0021","observation_id":"d487d4bd-9c71-4905-8a15-dbaad19be2fa","resolution":{"observed_at":"2026-08-06T20:56:22.959586Z","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":"2026-08-06T20:56:22.940472Z","title":"Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,","venue":null,"work_id":"f9688257-32d4-492c-8b6d-8bab7b249bda","year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.026090Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:017c42c4939fc176fb53759b312c3b5b1e58123a0d67cea894cdee3421f092f9","observation_id":"d11ddb23-d6c2-430b-b5ff-17c0a4fd12b9","resolution":{"observed_at":"2026-08-06T20:56:22.945424Z","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":"2026-08-06T20:56:22.926133Z","title":"Repurpos- ing diffusion-based image generators for monocular depth estimation","venue":null,"work_id":"3f22fa2d-2833-429f-83a2-0ab9d79174af","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.031106Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2bb003de0f7a1e9a7cb825f5d540cadd924a18696b6e87d4074f9b53d96bff65","observation_id":"12359d7a-44ad-41e3-82ab-2dc2f41f0883","resolution":{"observed_at":"2026-08-06T20:56:22.930850Z","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":"2026-08-06T20:56:22.036128Z","title":"Auto-encoding vari- ational bayes, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.036128Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:84dedd89761f68cbc060a4dd657b47edfb2291e0b483ec99212df445e9f58c34","observation_id":"610b5d13-6c5e-4d2f-bcbf-d4b325a4da13","resolution":{"observed_at":"2026-08-06T20:56:22.036128Z","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":"2026-08-06T20:56:22.900159Z","title":"Ro- bust consistent video depth estimation","venue":null,"work_id":"b718b0eb-bce9-4a93-b6cf-1620908110b3","year":2021},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.040625Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:0a0c9ce06387ef51ab19765a29b7e4d6138e47f5c2930816628e033955ca468c","observation_id":"b5119469-86fd-458b-ab35-08115a44f972","resolution":{"observed_at":"2026-08-06T20:56:22.904904Z","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":"1907.10326","last_updated":"2021-09-23T10:23:51Z","snapshot_observed_at":"2026-07-06T08:09:48.550217Z","submitted_at":"2019-07-24T09:31:24Z","title":"From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.10326","snapshot_observed_at":"2026-08-06T20:56:22.045611Z","title":"From big to small: Multi-scale local planar guidance for monocular depth estimation.arXiv preprint arXiv:1907.10326, 2019","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.045611Z"},"links":{"cited_paper":"/paper/1907.10326","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:c2d78cb4b92fe45bfb50a8720e5277c32b8e745082d3cec96f32a57f90b22183","observation_id":"87d337d1-b255-4ced-9012-295f4bf1975d","resolution":{"observed_at":"2026-08-06T20:56:22.045611Z","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":"2026-08-06T20:56:22.883013Z","title":"Mosca: Dynamic gaussian fusion from casual videos via 4d motion scaffolds","venue":null,"work_id":"21b2de8c-f2d0-4bd5-ba3a-ad397ae35075","year":2025},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.050729Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:1f9f566f404f9b818a662d2ecece85c551f0aed10124c2112f22fa45d9145c0c","observation_id":"4aaaa144-ed04-4b8e-a185-2e5c44e40e7f","resolution":{"observed_at":"2026-08-06T20:56:22.888514Z","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":"2026-08-06T20:56:22.867138Z","title":"Relpose++: Recovering 6d poses from sparse-view ob- servations","venue":null,"work_id":"c631642d-da39-494a-8d2e-193827e6cd75","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.055222Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:bb18348ec3d3a1aeee8e032896368c650607a455780f346847485368f97c7cd2","observation_id":"3eccdfcb-9305-4f66-9e11-a12546b6a11c","resolution":{"observed_at":"2026-08-06T20:56:22.872200Z","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":"2026-08-06T20:56:22.850959Z","title":"Wonder3d: Sin- gle image to 3d using cross-domain diffusion","venue":null,"work_id":"f79d44a4-cfeb-4ac4-936b-ae2ea4dff10a","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.059394Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:fc91aa11938ab421182ecf873ba3d07360cfd61eea438ff9c45f0c1910234ae4","observation_id":"bd39f119-6b87-4c32-84a9-ac41fed2fbab","resolution":{"observed_at":"2026-08-06T20:56:22.856395Z","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":"2026-08-06T20:56:22.064856Z","title":"Readout guidance: Learning con- trol from diffusion features","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.064856Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:e504c2f6c6418081499177eb4cbc88a538d901242618cdb9fafffb3b065ec42f","observation_id":"4508307a-80ea-4705-98ba-4ccbb79585c2","resolution":{"observed_at":"2026-08-06T20:56:22.064856Z","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":"2026-08-06T20:56:22.825279Z","title":"Consistent video depth estimation.ACM Transactions on Graphics (ToG), 39(4):71–1, 2020","venue":null,"work_id":"dc66698e-a146-444e-afdb-7cac683fbf70","year":2020},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.071394Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:aa49bc71a6b56538eb8f00165d843ab4fad58bf16055ad2d0312a1e50eaff06c","observation_id":"7874a7e2-c9bf-4bed-b360-9781f17ddb9e","resolution":{"observed_at":"2026-08-06T20:56:22.830557Z","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":"2026-08-06T20:56:22.810426Z","title":"Palazzolo, J","venue":null,"work_id":"2855ebd0-50ad-4e6d-8b9e-3146c2f178ca","year":2019},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.076225Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:11924c86103b785d94949280d1f29c264e3d974fba77a12179bba8131c4196a3","observation_id":"1e50331d-2f27-41d4-8362-1ec7da07475d","resolution":{"observed_at":"2026-08-06T20:56:22.815424Z","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":"2026-08-06T20:56:22.082026Z","title":"Unidepth: Universal monocular metric depth estimation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.082026Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:b4821020be7da387fb7dbfcb5903f88cba24eda666a4486d6588fe96a9ce98fd","observation_id":"141f3486-86eb-4b61-b3ba-5e2a784c3854","resolution":{"observed_at":"2026-08-06T20:56:22.082026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:22.087889Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.087889Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:1284eddedf7e5ad359d5180822d6beff3df169179888c878b8e9c2b0e5153e8a","observation_id":"955e1288-18a0-4630-a9a5-cc6f9ddb46e6","resolution":{"observed_at":"2026-08-06T20:56:22.087889Z","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":"2026-08-06T20:56:22.770477Z","title":"The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"b4c5fa66-c43e-43c0-bc59-a3b5fe881f38","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.093012Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:dec442d83f17d4b7cdbaf24825195f85ddf465043f910de1a0ca4a45dc3219a8","observation_id":"a2e1c036-38f4-430f-add5-305e8be33a68","resolution":{"observed_at":"2026-08-06T20:56:22.776425Z","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":"2026-08-06T20:56:22.754757Z","title":"Structure-from-motion revisited","venue":null,"work_id":"ec5b2fc5-080c-43ad-b80b-24ea55f0ecda","year":2016},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.097800Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:793178da226f7cc26a1ee666180625cea3e40fcb551ed0e32fd37e5e4fe47a20","observation_id":"8d6352c1-a7ba-4fc4-b7ec-9fed3422be64","resolution":{"observed_at":"2026-08-06T20:56:22.759622Z","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":"2026-08-06T20:56:22.739095Z","title":"Learning temporally consistent video depth from video diffusion priors","venue":null,"work_id":"49a719e1-9b5a-4b41-b4ba-470e3f854dab","year":2025},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.103054Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:48e5dce8691911bfe2c1efb4b24100ccbbeabaa4a46d03d97e7ac6161aa3ecc2","observation_id":"6efff586-096a-474d-929a-337171fa9708","resolution":{"observed_at":"2026-08-06T20:56:22.744150Z","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":"2026-08-06T20:56:22.723709Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":"2551d152-7102-47be-8e2a-9e901ddfdcdc","year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.107806Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:88cfed4a6493e3a634e7de106075d8de842ec18e8151d043d997f257af8410b3","observation_id":"bb686f47-7f6a-40be-83dd-ecf1b767b12e","resolution":{"observed_at":"2026-08-06T20:56:22.729356Z","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":"2026-08-06T20:56:22.708518Z","title":"Deepv2d: Video to depth with differentiable structure from motion","venue":null,"work_id":"349040e9-b5a1-47bf-bb33-20c6d4ff8680","year":2018},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.112536Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:a3655f0892cefaea0c9c40273ac5310f07bfcdb9fe32e64f640724feebb4be0b","observation_id":"e69079b7-6c64-476c-966f-661d742065dd","resolution":{"observed_at":"2026-08-06T20:56:22.713254Z","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":"2026-08-06T20:56:22.117576Z","title":"Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.117576Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:215a6c73ed122a21291fba582dc2142f4dc1aec2d57ddb8d70d317863bb1836e","observation_id":"13529681-7239-4b59-9500-5f649c3a52e4","resolution":{"observed_at":"2026-08-06T20:56:22.117576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:22.124191Z","title":"Shape of motion: 4d reconstruc- tion from a single video.arXiv preprint arXiv:2407.13764,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.124191Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:a7511229b960e9e7782c4d5369bb09378f1d34579b3fec9cb0b55127f6f10ace","observation_id":"1a88d5c5-70df-4c9e-ac81-72a0f1c7d30a","resolution":{"observed_at":"2026-08-06T20:56:22.124191Z","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":"2026-08-06T20:56:22.681589Z","title":"Dust3r: Geometric 3d vi- sion made easy","venue":null,"work_id":"3b4d58bc-d7d2-4f85-9ea0-fedf8d258f16","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.129523Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2efda3ad0ed5c76eac801eded406084d9c5234e1f9364711ec589309ae3f425c","observation_id":"e9be27de-d208-40e3-9187-ce9a6fdb0669","resolution":{"observed_at":"2026-08-06T20:56:22.687575Z","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":"2212.00490","last_updated":"2022-12-07T13:29:20Z","snapshot_observed_at":"2026-07-06T14:25:36.764202Z","submitted_at":"2022-12-01T13:33:47Z","title":"Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.00490","snapshot_observed_at":"2026-08-06T20:56:22.134280Z","title":"Zero-shot im- age restoration using denoising diffusion null-space model","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.134280Z"},"links":{"cited_paper":"/paper/2212.00490","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:352c8ff5cefb6bc0b89d4070a887725a4e7fa295454b7224d6c89b021324891c","observation_id":"897f03cc-beea-428c-b250-456d1d1bccb0","resolution":{"observed_at":"2026-08-06T20:56:22.134280Z","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":"2026-08-06T20:56:22.664459Z","title":"Neural video depth stabilizer","venue":null,"work_id":"3bea1fbe-b2c0-43ab-8912-5d8607726b00","year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.139892Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:9ef1136353cd2b7ff42e7078583f3787ab404eb46ed33a35368ccb349825dffd","observation_id":"fd51df96-8a67-46c5-9e77-bd0b3b33272f","resolution":{"observed_at":"2026-08-06T20:56:22.670012Z","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":"2026-08-06T20:56:22.144666Z","title":"Neural video depth stabilizer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.144666Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:230a7dcda75f63aa62a82c4e0dc423817a7756a2bc385447f81ab7e203e205cd","observation_id":"cd56bed4-2350-465c-960a-0a4d14c5d9c0","resolution":{"observed_at":"2026-08-06T20:56:22.144666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10815","last_updated":"2025-03-12T09:16:59Z","snapshot_observed_at":"2026-08-02T03:23:18.701055Z","submitted_at":"2024-10-14T17:59:46Z","title":"Depth Any Video with Scalable Synthetic Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10815","snapshot_observed_at":"2026-08-06T20:56:22.148947Z","title":"Depth any video with scalable synthetic data.arXiv preprint arXiv:2410.10815, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.148947Z"},"links":{"cited_paper":"/paper/2410.10815","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:372ca7f5d2f63e921198f2b67aed1ff01452640b3b07f96bb688719f397e5c04","observation_id":"a40feb2f-b355-4bed-a69d-cb5c933f4280","resolution":{"observed_at":"2026-08-06T20:56:22.148947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:22.154722Z","title":"Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.154722Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:d8ffc6fb571e670b23d694598f0fce9e8a4dbf2db9b70d155076e3350bf2dc0f","observation_id":"ec07908c-9659-47ff-92eb-0c1956a1783b","resolution":{"observed_at":"2026-08-06T20:56:22.154722Z","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":"2026-08-06T20:56:22.629630Z","title":"Mamo: Leveraging memory and attention for monocular video depth estimation","venue":null,"work_id":"0ac14fa4-b284-4907-a16b-796492914983","year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.159557Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:8b2bbfe7b8829194f48c8ecb0a674e3ebea0e1bbf67aa0dee36b1adf71145d99","observation_id":"b568be0b-95be-4ce6-8a6a-01c65bef1b82","resolution":{"observed_at":"2026-08-06T20:56:22.634403Z","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":"2026-08-06T20:56:22.610956Z","title":"Futuredepth: Learning to predict the future improves video depth estimation","venue":null,"work_id":"8bc58474-dc4c-42dd-9dad-a88f6022482e","year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.164205Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2b2e005af073248e3c35a0134bb0e3ca734b8edaee90031b5c87456b97bbbd16","observation_id":"d9fba112-7923-42af-b260-5c3c0f79f8e6","resolution":{"observed_at":"2026-08-06T20:56:22.616653Z","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":"2026-08-06T20:56:22.589695Z","title":"Stablenormal: Reducing diffusion variance for stable and sharp normal.ACM Transactions on Graphics (TOG), 43(6):1–18, 2024","venue":null,"work_id":"f2411369-0e5b-48d0-b8dc-509a5efdea6d","year":2024},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.168769Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:af31637036b3fe381cfbbc21a06dafa321323178c233eaccb3036a319519e018","observation_id":"c526b23f-d84a-4612-8e2c-3cb0ec37d59d","resolution":{"observed_at":"2026-08-06T20:56:22.597970Z","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":"2026-08-06T20:56:22.571729Z","title":"Freedom: Training-free energy-guided condi- tional diffusion model","venue":null,"work_id":"75e096f5-fcbe-4bb6-b77b-20ec1ba1ad81","year":2023},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.173864Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:32828320de7bf5750fa967185146c3a6b0ccc677c8e18a939e0e1f28df80e5e5","observation_id":"0747fff5-7310-4c08-a78e-e23153342dc0","resolution":{"observed_at":"2026-08-06T20:56:22.576996Z","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":"2026-08-06T20:56:22.555040Z","title":"Neural window fully-connected crfs for monocu- lar depth estimation","venue":null,"work_id":"3116dd7f-b176-4671-a235-e22cc2201f06","year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.178367Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:1f3d66774eeff97daa51bd0aff4a80ab49bb3742e46b03411c65a1de6c711050","observation_id":"b79afb5e-1ab4-4032-b976-923877ea31e4","resolution":{"observed_at":"2026-08-06T20:56:22.560684Z","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":"2026-08-06T20:56:22.184068Z","title":"A survey of autonomous driving: Common practices and emerging technologies.IEEE access, 8:58443– 58469, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.184068Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:04e6c7ea762e82797aa5d9924beef7a23357902a1257a02fe161baad115b7582","observation_id":"d350590c-23fb-4f11-893b-54228216b9ff","resolution":{"observed_at":"2026-08-06T20:56:22.184068Z","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":"2026-08-06T20:56:22.529275Z","title":"Exploiting temporal consistency for real-time video depth estimation","venue":null,"work_id":"4f3b8d09-fc21-4c5f-88dc-ab29c6b854c3","year":2019},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.189036Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:ab37d2ef0c57608db6a1d8072b7c54f6082e5ee9e9fa4b0ed03d3989ded1c5f6","observation_id":"b625f4f2-f63b-460b-b464-d012ac7a0440","resolution":{"observed_at":"2026-08-06T20:56:22.534272Z","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":"2410.03825","last_updated":"2025-05-08T08:32:16Z","snapshot_observed_at":"2026-07-06T19:28:08.374354Z","submitted_at":"2024-10-04T18:00:07Z","title":"MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03825","snapshot_observed_at":"2026-08-06T20:56:22.194139Z","title":"Monst3r: A simple approach for estimat- ing geometry in the presence of motion.arXiv preprint arXiv:2410.03825, 2024","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.194139Z"},"links":{"cited_paper":"/paper/2410.03825","citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:2ed61d1e577a0fbac8c003e006422601bbaad8ef6520b08a2bd0bf6af3519d0d","observation_id":"a98cc477-dce1-40fc-a0cc-4f2fb9755af1","resolution":{"observed_at":"2026-08-06T20:56:22.194139Z","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":"2026-08-06T20:56:22.512460Z","title":"Cameras as rays: Pose estimation via ray diffusion","venue":null,"work_id":"13e5dea1-428f-4c47-9f0d-39f59db4be24","year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.199687Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:d8227e7a75098a89e851503d75fd0ceb7eeeaaa6b51fa54c259f2852d0fb3258","observation_id":"449e38a7-4a80-467d-b206-41f7ae05c6ff","resolution":{"observed_at":"2026-08-06T20:56:22.517998Z","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":"2026-08-06T20:56:22.204228Z","title":"Consistent depth of moving objects in video.ACM Transactions on Graphics (ToG), 40(4):1–12,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.204228Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:ede9688c1d7da92622a3e334b1d78bc04e4d00aa089e2819c3461eb257dec292","observation_id":"82181d21-50be-4ae2-8e1a-317bbe48019a","resolution":{"observed_at":"2026-08-06T20:56:22.204228Z","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":"2026-08-06T20:56:22.486831Z","title":"Structure and motion from casual videos","venue":null,"work_id":"be33be44-6401-4176-8486-41fb22e26433","year":2022},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.208596Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:cf41d92f3b655d056d632214278538f2e9e631271ad1deb96c08edc56715ad5b","observation_id":"ccd63f35-567d-4f87-b2fd-393b60ca01fa","resolution":{"observed_at":"2026-08-06T20:56:22.492566Z","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":"9140.0198","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:56:22.319110Z","title":"Unsupervised learning of depth and ego-motion from video","venue":null,"work_id":"765d3cb7-e158-4271-b4b1-a840a35f1c65","year":2017},"citing_paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:56:22.212940Z"},"links":{"citing_paper":"/paper/2507.01603"},"observation_digest":"sha256:f19e94538be24c2b4a5d7ddf6e6a906c46ad1eb8138bd9c00f843fb5a5dad45a","observation_id":"98461091-3271-42eb-aba7-ec8c8154529c","resolution":{"observed_at":"2026-08-06T20:56:22.328486Z","resolver_source":"raw_fallback","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"}}],"paper":{"arxiv_id":"2507.01603","last_updated":"2025-08-07T02:10:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:45:03.947494Z","submitted_at":"2025-07-02T11:11:51Z","title":"DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":64},"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 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2507.01603."}