{"as_of":"2026-08-11T02:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5358631a28beafef1faee24b9a27e2004b29f901172c59a7eb28b6c1585f66ea","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:50:11.278227Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"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/2501.12824/citation-record","integrity":"/paper/2501.12824/integrity","json":"/paper/2501.12824/citation-record.json","paper":"/paper/2501.12824"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:12.236939Z","title":"Task2vec: Task embedding for meta-learning","venue":null,"work_id":"6c469954-5c74-4f96-909a-864c97b1adc9","year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.968166Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:ac347a352a35ce551e19bb914b32db88cc1fb108486404aa955a79cffa2947a1","observation_id":"0f9affe9-868e-4325-a73f-9c9c39fa7e4c","resolution":{"observed_at":"2026-08-10T16:50:12.241031Z","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":"2026-08-10T16:50:12.225602Z","title":"Green- house gas equivalencies calculator, Mar 2024","venue":null,"work_id":"a337efad-7077-4db4-be62-4043995b6d5d","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.972876Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:1e7fd8a1a10ec61fdbdb3ae2eef99cf4bb3f29115c45339c1afd28f01f839da1","observation_id":"df278d0c-fc61-4bab-9153-19d5c1e836b6","resolution":{"observed_at":"2026-08-10T16:50:12.229496Z","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":"2026-08-10T16:50:12.213991Z","title":"Semantics- depth-symbiosis: Deeply coupled semi-supervised learning of semantics and depth","venue":null,"work_id":"4a86e27e-14ff-4ed4-8681-6cbb6032df78","year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.976534Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:d2416cb515d5d3ae38398947bd4ae2725a662c10ad775797f6dbea3f240bb23c","observation_id":"f4778881-d479-492b-ac7b-febe1f1a29c7","resolution":{"observed_at":"2026-08-10T16:50:12.218001Z","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":"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":"2026-08-10T16:50:10.980537Z","title":"Zoedepth: Zero-shot trans- fer by combining relative and metric depth","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.980537Z"},"links":{"cited_paper":"/paper/2302.12288","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:96a57835c9150dd0f9d539869a5d1ce34266db5bb7a2f042462f0009d91f0dcd","observation_id":"93503e06-7261-4e73-a057-7af67337f3bb","resolution":{"observed_at":"2026-08-10T16:50:10.980537Z","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":"2026-08-10T16:50:12.201875Z","title":"Vision transformer adapters for generalizable multi- task learning","venue":null,"work_id":"983ed467-e028-42d1-a17d-66c6fa0eb6c2","year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.984739Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:c01de69a42694687c85e44ac45f3031e12a03912669c61ce9e13b8cb0c367db5","observation_id":"e314daee-aca3-465d-abda-787de0d4e0ef","resolution":{"observed_at":"2026-08-10T16:50:12.205940Z","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":"2307.14460","last_updated":"2023-07-26T19:01:49Z","snapshot_observed_at":"2026-08-05T14:21:33.902926Z","submitted_at":"2023-07-26T19:01:49Z","title":"MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.14460","snapshot_observed_at":"2026-08-10T16:50:10.988854Z","title":"Midas v3","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.988854Z"},"links":{"cited_paper":"/paper/2307.14460","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:c97eeb3a2f942b087282793bbcccea8a2321c3e918960c3042d1feadabdb4d34","observation_id":"0fb12094-b83d-4bb0-9f64-8c22d8547017","resolution":{"observed_at":"2026-08-10T16:50:10.988854Z","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":"2026-08-10T16:50:12.189461Z","title":"Coco- stuff: Thing and stuff classes in context","venue":null,"work_id":"797ef506-9862-4c08-a1d6-8acaf502339c","year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.992998Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:96c7914d734a3bf8974f0d02b05c80303996cad75db159468812a4f5fe9e45fd","observation_id":"631680e5-c5ba-4f64-a85c-5f22e190fe9f","resolution":{"observed_at":"2026-08-10T16:50:12.193836Z","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":"2026-08-10T16:50:12.176985Z","title":"Multitask learning","venue":null,"work_id":"c10edc2b-de6c-489b-ac5a-62d063025e17","year":1997},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:10.997539Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:05c84feffd9c1a81d302d1c1cb7c7028860b393f01d4781e495fd051a86f7c0a","observation_id":"2db10dc5-66bb-4599-a6b1-2305e62a4fb9","resolution":{"observed_at":"2026-08-10T16:50:12.181312Z","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":"2026-08-10T16:50:12.164856Z","title":"Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos","venue":null,"work_id":"1731598c-ae19-4653-966a-0e87ba9e56b4","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.001459Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:46e5ffd7609eb9b58bd685eea833fbf5bb7646eb5c9f06fecca4ad117f4b0636","observation_id":"3a1e5236-7b74-4902-9d17-360215e3e6c7","resolution":{"observed_at":"2026-08-10T16:50:12.169273Z","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":"2026-08-10T16:50:12.152744Z","title":"Matterport3d: Learning from rgb- d data in indoor environments","venue":null,"work_id":"1549aeca-17bc-4409-9473-02ad80a1c3f5","year":2017},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.005323Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:352247452b5eb1f68d697af59e5fca47e58de5901e684fb17629c036e6cd9e56","observation_id":"2bc1ae4b-c8e3-4581-884b-ea998e056a4b","resolution":{"observed_at":"2026-08-10T16:50:12.156555Z","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":"2026-08-10T16:50:12.140897Z","title":"Auxiliary learning with joint task and data schedul- ing","venue":null,"work_id":"c5897ba5-216f-44a2-ab05-9894eece4643","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.008881Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:210b48e7d1fbfe568d9d76d60b6677402f5196d45257175d3d1f323993cebbc4","observation_id":"5e11e0d3-695f-4f0d-9561-b739adb09a86","resolution":{"observed_at":"2026-08-10T16:50:12.144654Z","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":"2026-08-10T16:50:12.129915Z","title":"Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks","venue":null,"work_id":"398fbb2f-c1a1-4ce0-b530-7ba03fdd893f","year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.012625Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:56467f5a7ead28d21754ea25cb38a4769fb3697f7203de04280622d332f52613","observation_id":"2bca9d05-84e9-4b3e-b900-7c4385c18676","resolution":{"observed_at":"2026-08-10T16:50:12.133431Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.018782Z","title":"MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.018782Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:214314bf508b240f56ffa5ad684c067dce3a9f154faf591e1b902cd15bd754aa","observation_id":"7752f3c0-f47a-4e25-b767-c3bedb9adeea","resolution":{"observed_at":"2026-08-10T16:50:11.018782Z","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":"2026-08-10T16:50:12.109460Z","title":"The cityscapes dataset for semantic urban scene understanding","venue":null,"work_id":"664effb3-4fab-4b12-879e-3a99f395e9ec","year":2016},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.022458Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:f12fbf674e48eb4f83029a407f2684be27685e3f085e15a0f198b9f094c909e1","observation_id":"cfad19ee-1ac6-40a3-85bd-a2e5688b224f","resolution":{"observed_at":"2026-08-10T16:50:12.113530Z","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":"2026-08-10T16:50:12.097470Z","title":"Efficient multi-task pro- gressive learning for semantic segmentation and disparity es- timation","venue":null,"work_id":"64bcbdc3-d10c-4eb0-aa66-ca38e3cace03","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.026551Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:dedbb1444a42b2ce55fe730862e78c49e4148faa412ece36996cf8e15c11d510","observation_id":"0717d462-a5bb-4316-b3ea-953085b0f4db","resolution":{"observed_at":"2026-08-10T16:50:12.101402Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.032139Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.032139Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:6e67bba46c69080c19b0eafcf2c7dbfdfbf835c226ff6a32f6ecb27ab0339666","observation_id":"2e8d3a7a-aebb-4833-b546-be6dd3baaca1","resolution":{"observed_at":"2026-08-10T16:50:11.032139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14082","last_updated":"2023-02-27T19:02:08Z","snapshot_observed_at":"2026-07-06T13:14:45.097902Z","submitted_at":"2022-05-27T16:32:28Z","title":"AANG: Automating Auxiliary Learning","version":2},"cited_work":{"arxiv_id":"2205.14082","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.14082","snapshot_observed_at":"2026-08-10T16:50:11.496040Z","title":"AANG: Automating Auxiliary Learning","venue":"cs.LG","work_id":"bc4d50ec-9141-4165-8c6c-61c2f62214db","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.036321Z"},"links":{"cited_paper":"/paper/2205.14082","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:8046d339fbb3d372abfdef54f82ba2765f6448e216e4852e93ada4a0e4171b7b","observation_id":"3049c781-4371-44ba-b6e9-abbc8d747142","resolution":{"observed_at":"2026-08-10T16:50:11.500079Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-10T16:50:11.042013Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.042013Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:ed21b1a475d42d5190dffe07274c5974a7c8a1fc462b22d0eb7b6dcc45cf74c8","observation_id":"6d10ec0f-f5b2-4920-b79b-ed397c4ef1e8","resolution":{"observed_at":"2026-08-10T16:50:11.042013Z","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":"2026-08-10T16:50:12.075450Z","title":"Representation similar- ity analysis for efficient task taxonomy & transfer learning","venue":null,"work_id":"e30e6134-8830-4f54-8cfe-51682392cbb6","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.046629Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:e1fc5b34aafb9d42ace61a47a2850360677b7382328f37b49b95550186e491b3","observation_id":"86b7f841-49b6-4f48-b9ca-2cbca60a7ec5","resolution":{"observed_at":"2026-08-10T16:50:12.080129Z","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":"2026-08-10T16:50:12.062574Z","title":"Everingham, L","venue":null,"work_id":"1881e2a7-982a-49e8-a29e-140c9cd0bf44","year":2010},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.051006Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:87df886f8ea135eb063a2263e11dc7db9ea23712cdb334739938a1c951221e40","observation_id":"a2048361-da5e-40fc-9d41-924d197b4559","resolution":{"observed_at":"2026-08-10T16:50:12.066989Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.054798Z","title":"Efficiently identifying task groupings for multi-task learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.054798Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:190e94013a14adeaeceee038a8b0756ecdf9f58d0261ba1de2b62ee0fcb52a44","observation_id":"21a6744c-be8c-41de-8765-abbeb6e01b3d","resolution":{"observed_at":"2026-08-10T16:50:11.054798Z","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":"2026-08-10T16:50:12.042379Z","title":"Vision meets robotics: The kitti dataset","venue":null,"work_id":"f8080324-9283-43ba-983b-715799018869","year":2013},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.058680Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:55328c4ca656d4499c33d11cfe42cbef091f26599bded7c9f0a80c80118e569b","observation_id":"3d3b955d-834e-47f4-b9bd-3b9cd2871648","resolution":{"observed_at":"2026-08-10T16:50:12.046594Z","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":"2026-08-10T16:50:12.029098Z","title":"Dynamic task prioritization for multitask learning","venue":null,"work_id":"78867f95-b84a-43d9-b38c-ea1b7f26f230","year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.065661Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:041b27cd441022c2fb6d6020d45a69107aec3a308e05def27372f9dc1942ff0a","observation_id":"fece7a5c-7daa-4f91-a5f1-2fe4c4d88fbd","resolution":{"observed_at":"2026-08-10T16:50:12.033534Z","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":"2026-08-10T16:50:12.013113Z","title":"S 3 dmt-net: improving soft sharing based multi-task cnn using task-specific distillation and cross-task interactions","venue":null,"work_id":"b950c3b8-5d61-43aa-8127-c8e7042cdd43","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.069899Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:701859bf781e1158f042113a67fa6de4af847f5f56787f2e3af9db54c549810c","observation_id":"4cd43b2a-0302-4118-9f05-54a5ffb9c349","resolution":{"observed_at":"2026-08-10T16:50:12.018775Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.074338Z","title":"Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.074338Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:5fd1d29e100fe17a83ff4429759bcef59368075cb242d5d81e1e8eca904a2208","observation_id":"04768fe5-6f59-4826-89ab-4b04adbb7ef8","resolution":{"observed_at":"2026-08-10T16:50:11.074338Z","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":"2026-08-10T16:50:11.988758Z","title":"Juwels booster– a supercomputer for large-scale ai research","venue":null,"work_id":"421d45fc-3091-47be-8802-e19cd4853baa","year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.078405Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:e55c509d0ff251333dda0ab80f85d98bea1034f9352ac127058eead0f200de72","observation_id":"329750a8-7e9c-4e1c-a26e-f2204f8dc26c","resolution":{"observed_at":"2026-08-10T16:50:11.992798Z","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":"2026-08-10T16:50:11.976740Z","title":"Uvim: A unified modeling approach for vision with learned guiding codes","venue":null,"work_id":"510be308-9673-4798-b4c0-9b1f98af74db","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.082653Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:159e595a9091ddfbb65b7e1feb8cfadd9e7ee82293b94218a574dd4366068649","observation_id":"d75e5656-105b-43f5-8cbd-968db00940c8","resolution":{"observed_at":"2026-08-10T16:50:11.980837Z","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":"1910.09700","last_updated":"2019-11-04T20:37:33Z","snapshot_observed_at":"2026-08-10T20:15:22.942936Z","submitted_at":"2019-10-21T23:57:32Z","title":"Quantifying the Carbon Emissions of Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.09700","snapshot_observed_at":"2026-08-10T16:50:11.086891Z","title":"Quantifying the carbon emissions of machine learning","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.086891Z"},"links":{"cited_paper":"/paper/1910.09700","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:c5e14e861cf76989f0b832d29d367b74ec891af9635ea55bbbf9595d3b36afa7","observation_id":"e2cb7edd-85c7-4475-ba25-c068efb620fb","resolution":{"observed_at":"2026-08-10T16:50:11.086891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10580","last_updated":"2024-02-16T11:09:16Z","snapshot_observed_at":"2026-07-06T17:31:04.675896Z","submitted_at":"2024-02-16T11:09:16Z","title":"Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation","version":1},"cited_work":{"arxiv_id":"2402.10580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.10580","snapshot_observed_at":"2026-08-10T16:50:11.456686Z","title":"Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation","venue":"cs.CV","work_id":"9600525c-8a80-4757-8c16-04ca0612c84a","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.093150Z"},"links":{"cited_paper":"/paper/2402.10580","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:198fffb5f370bfaeef69a8d850bf4d843b04040d6d5d8a896fd792ac4ede3695","observation_id":"2e4ddac2-9861-4957-ac80-abef70ef9aa3","resolution":{"observed_at":"2026-08-10T16:50:11.460813Z","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":{"arxiv_id":"1907.10326","last_updated":"2021-09-23T10:23:51Z","snapshot_observed_at":"2026-08-10T09:47:54.084846Z","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":"2026-08-10T16:50:11.098642Z","title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.098642Z"},"links":{"cited_paper":"/paper/1907.10326","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:045b416d9c7d89f219ebfdee50eaca6f4752038541a2cacd946e97ae86e99047","observation_id":"b281e777-cdb3-40dc-ac07-d032c24ae0b4","resolution":{"observed_at":"2026-08-10T16:50:11.098642Z","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":"2026-08-10T16:50:11.965439Z","title":"Monocular depth esti- mation using relative depth maps","venue":null,"work_id":"163d710f-20ec-4a60-b100-4a357ce9c7cc","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.104470Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:1ff759c01fb1f7cbc9b8e06fe9e69493a15777fb8bf438a5cded328407f8cc9b","observation_id":"45144340-3634-4596-bc7c-c22d19fa7b4b","resolution":{"observed_at":"2026-08-10T16:50:11.969390Z","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":"2026-08-10T16:50:11.952833Z","title":"Learning scribbles for dense depth: Weakly-supervised single underwater image depth es- timation boosted by multi-task learning","venue":null,"work_id":"ed0191ce-6387-4731-850d-036e79c68da2","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.108501Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:6175ad146c1882f33c5b18f7c8648820173b44906072462c96811e514e0afc5f","observation_id":"8a598c78-b555-4fcc-824b-5031215403f3","resolution":{"observed_at":"2026-08-10T16:50:11.957765Z","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":"2026-08-10T16:50:11.941850Z","title":"Learning multi- ple dense prediction tasks from partially annotated data","venue":null,"work_id":"60d5db1b-dd1f-4f9f-918b-33b11c516e38","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.113118Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:a30d601c923d59e15aaeb4740e581e481aaa8b134e5f5a691858504a4bef19c3","observation_id":"56d1f68f-96b6-4f8b-8703-c0191199209f","resolution":{"observed_at":"2026-08-10T16:50:11.945287Z","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":"2026-08-10T16:50:11.931621Z","title":"Monocular depth estimation toolbox","venue":null,"work_id":"5ed2e189-9eec-458b-8122-289cd2fb2dce","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.118758Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:09c1042f9f560c33cfec4bbaa2420027a96006470eba13f64fed42688b21dd32","observation_id":"5ec0cb73-e31a-469b-a9a3-1cc20ad74114","resolution":{"observed_at":"2026-08-10T16:50:11.935134Z","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":"2203.14211","last_updated":"2022-03-27T05:03:56Z","snapshot_observed_at":"2026-08-10T01:24:49.287037Z","submitted_at":"2022-03-27T05:03:56Z","title":"DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.14211","snapshot_observed_at":"2026-08-10T16:50:11.123439Z","title":"Depthformer: Exploiting long-range correlation and local in- formation for accurate monocular depth estimation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.123439Z"},"links":{"cited_paper":"/paper/2203.14211","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:1f4c7a3b7e5b5d474d0a1ebab47be8d8e4b350bf03371f4f9efbdc56cc9e2630","observation_id":"54576035-03b9-4e02-a785-a4668535d14d","resolution":{"observed_at":"2026-08-10T16:50:11.123439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00987","last_updated":"2022-04-03T04:38:02Z","snapshot_observed_at":"2026-08-05T13:28:31.353552Z","submitted_at":"2022-04-03T04:38:02Z","title":"BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00987","snapshot_observed_at":"2026-08-10T16:50:11.128263Z","title":"Binsformer: Revisiting adaptive bins for monocular depth estimation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.128263Z"},"links":{"cited_paper":"/paper/2204.00987","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:4ca904f47c8edfcb7bf6ac85a03b0260c8f181543aa9f557c71d43a1def68216","observation_id":"60b36644-479e-4f07-ace3-edb0edc13bdb","resolution":{"observed_at":"2026-08-10T16:50:11.128263Z","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":"2026-08-10T16:50:11.920377Z","title":"Deep con- volutional neural fields for depth estimation from a single image","venue":null,"work_id":"6c6b1b22-b9be-4e99-ade8-d76439e009ea","year":2015},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.132631Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:edcbd97d4e98c8d83822018a85cfd97ee75d584cd249496ef8b56ca20bd904b4","observation_id":"48731f56-8c2f-4701-b6a2-3eb9697819f3","resolution":{"observed_at":"2026-08-10T16:50:11.924122Z","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":"2026-08-10T16:50:11.908585Z","title":"Meta-auxiliary learning for future depth pre- diction in videos","venue":null,"work_id":"05333424-fe25-4439-a6a3-973a9d474a06","year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.137925Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:6491bc583b747b556161b645c6eb7b4fccfbe4f95723d2c10b3bd97e5770ca33","observation_id":"dcd89134-f215-41b7-bc52-1d68daff6212","resolution":{"observed_at":"2026-08-10T16:50:11.912605Z","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":"2026-08-10T16:50:11.896074Z","title":"End- to-end multi-task learning with attention","venue":null,"work_id":"b5805a85-7020-4cbc-ac20-cfe665ab9d21","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.142741Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:3ae7b458c1b0bbaa3a3defebff1839ad797dd49b13a9df55fe25ece6a3f5dfba","observation_id":"2b90054e-1be5-4f92-aeda-ad214f0a21e0","resolution":{"observed_at":"2026-08-10T16:50:11.900187Z","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":"2201.05761","last_updated":"2022-08-08T18:57:24Z","snapshot_observed_at":"2026-08-06T07:06:32.689999Z","submitted_at":"2022-01-15T05:35:19Z","title":"A Survey on RGB-D Datasets","version":2},"cited_work":{"arxiv_id":"2201.05761","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.05761","snapshot_observed_at":"2026-08-10T16:50:11.402235Z","title":"A Survey on RGB-D Datasets","venue":"cs.CV","work_id":"1d1ac152-ea49-492e-a3fa-33846b214fb8","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.146634Z"},"links":{"cited_paper":"/paper/2201.05761","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:03deb90ce08053da4cc503fff1e07e7172d7cc0adf2b46a4cf1d55cdbea9cde8","observation_id":"55602905-dc02-4205-bf2b-909e1a47c1dd","resolution":{"observed_at":"2026-08-10T16:50:11.406010Z","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":"2026-08-10T16:50:11.882824Z","title":"The role of context for object detection and semantic segmentation in the wild","venue":null,"work_id":"665061ee-63ff-4415-bdc5-69a8ac6d69d2","year":2014},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.150688Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:09b62d2eb5ff091ec0f7ea8ffb534fa32ce50357791ff07dc34b468c609e01ac","observation_id":"58b60318-dfbd-45f6-9f90-96d2a3ed51f8","resolution":{"observed_at":"2026-08-10T16:50:11.886924Z","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":"2026-08-10T16:50:11.870753Z","title":"Indoor segmentation and support inference from rgbd images","venue":null,"work_id":"3a0c3526-8096-40f6-94c5-dbb7af28ad7e","year":2012},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.154235Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:50253bfb1bacd577fee174a55188fcbc4cc79f959677c77a9b0aabaa311d1b72","observation_id":"b2de2621-0e55-4888-b631-1d3ee29094bd","resolution":{"observed_at":"2026-08-10T16:50:11.874887Z","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":"2026-08-10T16:50:11.854073Z","title":"Real-time joint se- mantic segmentation and depth estimation using asymmetric annotations","venue":null,"work_id":"68bc5e72-07bd-492a-8fd9-f08d506ba966","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.157462Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:d33c3b7a84cf13f34dc5c108cfe04228c14f7cd51c48437874612fb6f501126c","observation_id":"d9de26e2-4f51-4131-91df-a842ccd9f184","resolution":{"observed_at":"2026-08-10T16:50:11.860729Z","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":"2026-08-10T16:50:11.840712Z","title":"Matterport3d eula for academic use, Mar","venue":null,"work_id":"9f5bfe72-dd32-4367-a032-b87f7761e245","year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.160875Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:82893db64d89646e5157e27c37344f9ba7dc83987a08575c685fcb09525fb164","observation_id":"312a99ad-3e54-4b30-a6c7-c68f6c526b9b","resolution":{"observed_at":"2026-08-10T16:50:11.844781Z","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":"2026-08-10T16:50:11.826199Z","title":"All in tokens: Unifying output space of visual tasks via soft token","venue":null,"work_id":"c76b877b-d8d9-479b-a4ce-6dc9527623fa","year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.164433Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:627bd464614cf59447d64cf48af96c85eaccf255f0fe7ab5f3e150f99ed96008","observation_id":"81bf42c5-9e5f-4b71-888b-39418d372795","resolution":{"observed_at":"2026-08-10T16:50:11.831429Z","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":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-09T18:02:17.307812Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-10T16:50:11.167840Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.167840Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:b9d3fa4a0796e0fce4a208357d527c7c8809d8b75c69752454a996e303412f07","observation_id":"20baf22d-68aa-4ecd-aadf-16f92a09d60a","resolution":{"observed_at":"2026-08-10T16:50:11.167840Z","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":"2026-08-10T16:50:11.811912Z","title":"Zero-shot task transfer","venue":null,"work_id":"d59e6805-d195-4471-8be1-4b99f81dd016","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.171422Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:e9daececfb9cdf76f85026930fc71cd1d72978b7fe76188b8223a07576cdbdf5","observation_id":"0f934eb9-090e-47d3-bfd4-39269e421a82","resolution":{"observed_at":"2026-08-10T16:50:11.816417Z","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":"2026-08-10T16:50:11.798542Z","title":"Multi-task distributed learning using vision transformer with random patch permu- tation","venue":null,"work_id":"91b92ddf-ea65-4d84-a24f-bca9562914f3","year":2022},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.175335Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:68990925721852c33b1b18c7358ffb5f12dd4f10750b2936ca4a89b0c35425ce","observation_id":"155c3fb5-2839-4949-92aa-677d75dfba4f","resolution":{"observed_at":"2026-08-10T16:50:11.803073Z","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":"2104.10350","last_updated":"2021-04-23T14:26:29Z","snapshot_observed_at":"2026-07-06T11:02:18.405330Z","submitted_at":"2021-04-21T04:44:25Z","title":"Carbon Emissions and Large Neural Network Training","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.10350","snapshot_observed_at":"2026-08-10T16:50:11.179063Z","title":"Carbon emissions and large neural network training","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.179063Z"},"links":{"cited_paper":"/paper/2104.10350","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:71d157a9a127e69ea1eca96784813626a2a5317ee43ee2169d980224315624ac","observation_id":"f42d7a1a-4385-4dfc-b35a-6bb1f3bd5257","resolution":{"observed_at":"2026-08-10T16:50:11.179063Z","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":"2026-08-10T16:50:11.785821Z","title":"On the uncertainty of self-supervised monocular depth estimation","venue":null,"work_id":"8a0cd24a-973c-4bc2-aa7f-e6da3bfe8b14","year":2020},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.183523Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:86f27bb4d1be0abcca1e3c5da58ae16f7951e567a225a69fc80eaddd24f6d4e6","observation_id":"170ec25c-dff7-4a43-9fee-d12fa8359c14","resolution":{"observed_at":"2026-08-10T16:50:11.790165Z","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":"2026-08-10T16:50:11.772746Z","title":"Vi- sion transformers for dense prediction","venue":null,"work_id":"4f55d925-dcdd-4d58-ae53-bdfd834c5496","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.187478Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:91334a50007ecef2b6eda055fba2ba9f68e338cc9d87f5d9d44bc2645b443b13","observation_id":"dd0c47b4-01da-43c0-8b55-ffdd42fdcc2e","resolution":{"observed_at":"2026-08-10T16:50:11.777391Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.191665Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.191665Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:cbc28d650ab089e92d4fa5d7b8f26df5cd8e07708cbe48ea25f5640d0060ec9b","observation_id":"0943e369-5546-48f2-a0d0-04c88aea0740","resolution":{"observed_at":"2026-08-10T16:50:11.191665Z","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":"2026-08-10T16:50:11.752141Z","title":"Improving monocular depth esti- mation by semantic pre-training","venue":null,"work_id":"272351d5-4386-457b-927f-813cddd2ddf7","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.195414Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:5f7d952aa1e4c51abc1022effb5bad4b319e28f1e284baa6acc03dd1d010df7e","observation_id":"84f25b29-33ce-4a3d-b6df-b5b6436d860f","resolution":{"observed_at":"2026-08-10T16:50:11.757403Z","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":"1706.05098","last_updated":"2017-06-15T21:38:12Z","snapshot_observed_at":"2026-08-04T14:30:44.904839Z","submitted_at":"2017-06-15T21:38:12Z","title":"An Overview of Multi-Task Learning in Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05098","snapshot_observed_at":"2026-08-10T16:50:11.199461Z","title":"An overview of multi-task learning in deep neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.199461Z"},"links":{"cited_paper":"/paper/1706.05098","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:1cbde2637ad8caaf48b0f8c4c612da8d122fa5fcb28235f456e1baf211cd0219","observation_id":"bd1f46e1-0862-415a-9640-288e272178b4","resolution":{"observed_at":"2026-08-10T16:50:11.199461Z","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":"2026-08-10T16:50:11.740395Z","title":"Learning to relate depth and semantics for unsupervised domain adaptation","venue":null,"work_id":"189d2dde-45a2-4d78-91e2-e476bab11407","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.203568Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:d9a22d41774880ce33929322dd69cc7f5a57293ff60b38ab5cc27248eda7b7f3","observation_id":"2d89e3b2-586d-4102-958d-ecf8eb551a24","resolution":{"observed_at":"2026-08-10T16:50:11.744155Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.207677Z","title":"Multi-task learning as multi-objective optimization","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.207677Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:9a4da5643939e66d8c3d47829d5d4b22a737842aa76812ddb04a77b833c6fabf","observation_id":"b562b0c5-7e6d-4173-ba7d-10a60037d45c","resolution":{"observed_at":"2026-08-10T16:50:11.207677Z","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":"2026-08-10T16:50:11.720536Z","title":"Fully convolutional networks for semantic segmentation","venue":null,"work_id":"4c2c5252-48b8-434b-a064-1ad0007dc1cf","year":2016},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.211705Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:80073f50d8df7ac52389eefbe54383642db50cb67d69a11f21715f0e183115c2","observation_id":"93884f35-5f28-4432-97ba-73b13c99ffaa","resolution":{"observed_at":"2026-08-10T16:50:11.724283Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.216385Z","title":"Sun rgb-d: A rgb-d scene understanding benchmark suite","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.216385Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:2ba7b096fd08d456e4252655c4ac40f86d2625cf3685d7843b2c485cc903c46d","observation_id":"9d6c7cb0-4c2b-4084-8ef4-8b8de16e8be7","resolution":{"observed_at":"2026-08-10T16:50:11.216385Z","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":"2026-08-10T16:50:11.220240Z","title":"Which tasks should be learned together in multi-task learning? In International Conference on Machine Learning, pages 9120–9132","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.220240Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:32d158109f97585b87e84110504c61c1d41a27cf322672798b074d59cd8714d2","observation_id":"dbf6831f-78f7-4cc5-84e4-5d3c4d3e7e82","resolution":{"observed_at":"2026-08-10T16:50:11.220240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10662","last_updated":"2024-03-15T20:04:27Z","snapshot_observed_at":"2026-08-06T11:45:04.128241Z","submitted_at":"2024-03-15T20:04:27Z","title":"SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images","version":1},"cited_work":{"arxiv_id":"2403.10662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.10662","snapshot_observed_at":"2026-08-10T16:50:11.341391Z","title":"SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images","venue":"cs.CV","work_id":"5443bea5-fb23-400f-9f27-be565aa207ab","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.225974Z"},"links":{"cited_paper":"/paper/2403.10662","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:0706e35e98f3dafddbef8bb8ddefb81b154a19a763d752414142790b0f68e1a0","observation_id":"103290d4-2336-431e-861d-02ea5b11f688","resolution":{"observed_at":"2026-08-10T16:50:11.348507Z","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":"2026-08-10T16:50:11.693467Z","title":"Multi-task learning for dense prediction tasks: A survey","venue":null,"work_id":"fa3055b6-fe4f-42bf-ac6d-052401d9d812","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.230676Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:0188c4c0ba739b08e471b78bcf707ea7198b983afdc03c9c58f11f6df7a669b1","observation_id":"a886c463-a328-4be2-95e9-4a85f6f40451","resolution":{"observed_at":"2026-08-10T16:50:11.697627Z","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":"1908.00463","last_updated":"2019-08-29T04:17:49Z","snapshot_observed_at":"2026-08-11T01:17:48.312983Z","submitted_at":"2019-08-01T15:39:54Z","title":"DIODE: A Dense Indoor and Outdoor DEpth Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.00463","snapshot_observed_at":"2026-08-10T16:50:11.234659Z","title":"Dai, Andrea F","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.234659Z"},"links":{"cited_paper":"/paper/1908.00463","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:07d0566c62afec8856a843e292bb7d7f1620e676516cbeb78d7e8d77b1ae67ae","observation_id":"8e6be5a9-10f0-4be6-901b-0b4f14014f7f","resolution":{"observed_at":"2026-08-10T16:50:11.234659Z","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":"2026-08-10T16:50:11.238691Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.238691Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:be89bf50ae395bb61d218aa5f28f33d48d73437e7e757e57f6de6a3d768455ce","observation_id":"f7c44713-fe0a-42cd-a3ee-f1c901df3ffe","resolution":{"observed_at":"2026-08-10T16:50:11.238691Z","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":"2026-08-10T16:50:11.672897Z","title":"Neural taskon- omy: Inferring the similarity of task-derived representations from brain activity","venue":null,"work_id":"d67ef2cb-4ad3-4049-b4ce-223fd0f767b9","year":2019},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.242849Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:2227c092876c1c04e0107a20ca57663c73c138e010f1e127b292b8dcb6bd37a4","observation_id":"e6da92e9-16bd-4ad1-bd61-7a0b96363896","resolution":{"observed_at":"2026-08-10T16:50:11.677984Z","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":"2026-08-10T16:50:11.659306Z","title":"Sdc-depth: Semantic divide-and-conquer net- work for monocular depth estimation","venue":null,"work_id":"3cc18030-182f-4361-87c6-9fc84f282844","year":2020},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.246950Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:a0a605db33951af167888fe5f9dd7a5f67a4e2252ccec211b898541c7a707fee","observation_id":"6a442311-c6e3-41df-a648-9a62c48a93ae","resolution":{"observed_at":"2026-08-10T16:50:11.664242Z","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":"2026-08-10T16:50:11.644692Z","title":"Domain adaptive semantic segmentation with self-supervised depth estimation","venue":null,"work_id":"3cd42c63-7adc-43cd-accf-341a1557b747","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.250816Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:8c5ff5b9e6af1e5edfea870e82bde697d7da116725e2d85e2060e09d0da8fb83","observation_id":"70fcd69c-c70b-4e2e-bfa6-75e3bfb6c8bb","resolution":{"observed_at":"2026-08-10T16:50:11.649984Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:50:11.254139Z","title":"Images speak in images: A generalist painter for in-context visual learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.254139Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:6f2974ce118a2226f789950f2ba926bf626c90542b22b660e3a5f0f930a4fc1c","observation_id":"eaf83e34-a756-414a-974f-7a6b790e2fbe","resolution":{"observed_at":"2026-08-10T16:50:11.254139Z","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":"2026-08-10T16:50:11.619350Z","title":"Structured attention guided convolutional neu- ral fields for monocular depth estimation","venue":null,"work_id":"d849bb2d-9142-4c47-a4be-7e64c6d3a283","year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.257705Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:a00aa3980402b83c42163c885b6a8910ea01fb1f09e8854dade839eadaed3f6c","observation_id":"e7b1eca6-ed3e-451c-86a8-9e414a2cfff7","resolution":{"observed_at":"2026-08-10T16:50:11.623585Z","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":"2401.10891","last_updated":"2024-04-07T06:52:21Z","snapshot_observed_at":"2026-08-01T22:50:12.319180Z","submitted_at":"2024-01-19T18:59:52Z","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10891","snapshot_observed_at":"2026-08-10T16:50:11.260964Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.260964Z"},"links":{"cited_paper":"/paper/2401.10891","citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:1b6c59ace410e9d2de442cf7f8dff4ffabd69dc1ebb9be08d58848ae0f0e5975","observation_id":"3a41c30f-7322-4835-bfaa-febf22638fc2","resolution":{"observed_at":"2026-08-10T16:50:11.260964Z","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":"2026-08-10T16:50:11.604880Z","title":"Polymax: General dense prediction with mask transformer","venue":null,"work_id":"3dabc118-db81-4d9e-af80-92a4a6e68330","year":2024},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.264759Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:6c2f4f720428b0e9880493f515a70e9178808471b42ab6734bcfc04148d9169f","observation_id":"7c12ab9e-a8c3-457c-aab5-f25a0459c483","resolution":{"observed_at":"2026-08-10T16:50:11.609328Z","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":"2026-08-10T16:50:11.591241Z","title":"Taskonomy: Disentangling task transfer learning","venue":null,"work_id":"bd5553db-7090-4065-9fda-b56e933b7933","year":2018},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.268106Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:59a843b977d4b2d45e04d28a682e55534af6bb782543d77132aed6e3bad076ba","observation_id":"59d566d2-3d20-41a9-8d18-5fbfe35ec373","resolution":{"observed_at":"2026-08-10T16:50:11.596167Z","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":"2026-08-10T16:50:11.577796Z","title":"A survey on multi-task learn- ing","venue":null,"work_id":"d831ccb7-1a29-46c2-bdfc-df3ee9ec424e","year":2021},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.271369Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:a0495c6b7a2b491cfc2707aebf997e689b7f5f51b8037ab40893e1680e7c9f4a","observation_id":"d91fabc1-4bbb-451e-80ed-092e9458336d","resolution":{"observed_at":"2026-08-10T16:50:11.582218Z","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":"2026-08-10T16:50:11.561453Z","title":"Scene parsing through ade20k dataset","venue":null,"work_id":"aa905c02-6fa5-46fc-bd90-99a005d8d8cb","year":2017},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.274548Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:c51df1afd4c938930eb139ef00b77c4172911abcdc747fd40a5ab27a19c02a3f","observation_id":"373d2beb-400f-4fd3-8f2f-3c92f5804b1d","resolution":{"observed_at":"2026-08-10T16:50:11.567531Z","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":"2026-08-10T16:50:11.544303Z","title":"Upon acceptance, we are committed to publishing the code to facilitate trans- parency and enable other researchers to replicate our find- ings","venue":null,"work_id":"89cad394-7186-4c2a-9011-752919086107","year":null},"citing_paper":{"arxiv_id":"2501.12824","last_updated":"2025-01-22T12:04:58Z","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T16:50:11.278227Z"},"links":{"citing_paper":"/paper/2501.12824"},"observation_digest":"sha256:22c81ccb217719c2ea6828decf22d042bd69c0d20e71eae567227b6b7361994c","observation_id":"ba27660c-57e5-40c3-b957-8f328bda35a5","resolution":{"observed_at":"2026-08-10T16:50:11.550259Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2501.12824","last_updated":"2025-01-22T12:04:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T20:17:47.867487Z","submitted_at":"2025-01-22T12:04:58Z","title":"Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":22,"verified_exact":3,"verified_fuzzy":47},"total_outbound_references":74},"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 11 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2501.12824."}