{"as_of":"2026-08-21T15:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82237b96b487567db1fc515d3d50fe6fe7d9a06a06e6843a5470bd0c1c71a843","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T17:28:29.969927Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2606.09243/citation-record","integrity":"/paper/2606.09243/integrity","json":"/paper/2606.09243/citation-record.json","paper":"/paper/2606.09243"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T17:28:29.969927Z","title":"Langley , title =","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:abaaba54199e0ee12541f5621dede7de71f825643adfc05e1073fd5f5902996a","observation_id":"4ff2db3f-8a6f-4e6f-93e2-3aabd7358a64","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:d21d0961dcd42db028b681b71e5b57c3ffc32a46091eee75d9c2636f1190a075","observation_id":"47c1281d-11a5-477b-9163-aa2184fa662f","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:c74e4c01cfd7914d35728d5e11408fbe1f1e207804f4aff18fe41807ef44869f","observation_id":"97d3f9e0-a7d6-40e8-b7e7-e972f1ce189e","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:c1d93f2d8b2d66661c2959f9cfe443bef08dd32564da5d1a3d43001693fa87c5","observation_id":"fe42e38b-301b-411f-acb1-dd1aed13b47c","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:21ad9d630b6e53e4d95369dac688b303acbdfc4fb4f5b7d1d94273ec11c32ab1","observation_id":"9fee7527-16f8-404b-a8a7-d72726e82fae","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:459717763706e7fc1a1be1289bcec0b22f3366d9181b09c8ad247f3ff8e9b299","observation_id":"9e3e6658-71cf-4477-825f-1bf0ba8d1548","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Newell and P","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:d13eeb8d0d0c6c9340faaf7f0b03d6117f1570a0475a7b77e0bc37234f556e91","observation_id":"4f9623b7-678b-4039-adb1-52ab77627b50","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:8e5e21174a0b26e776305be698ff2b8e9da213bc25dc8866546a041e5f9d8199","observation_id":"1a734b65-f31b-4539-8ae9-6cc313f6c9e3","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2512.16842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T21:00:09.168505Z","title":"Opentouch: Bring- ing full-hand touch to real-world interaction","venue":null,"work_id":"9d556191-6b01-4b63-85fc-3516fff177a1","year":2025},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:2090722c09db3dc1921731e2f8845d96b7f3aa008ad7d7174401c50222a5fd7b","observation_id":"17fa4ef6-d1f8-41fa-9ee0-b33442135075","resolution":{"observed_at":"2026-07-03T00:07:28.363972Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T17:28:29.969927Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:f6a250831306dee24f03edad88f8e6f29bed3923abb6a266df2f304eac363826","observation_id":"bbfabdf9-77df-47a3-af55-884793aaf62c","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2510.25725","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T00:07:28.365186Z","title":"A humanoid visual-tactile-action dataset for contact-rich manipulation.arXiv preprint arXiv:2510.25725","venue":null,"work_id":"54bf59e4-a0b0-4e40-aef8-a159b8a3d8d9","year":2025},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:f76cbe90b00a808dd4b45adb9ac266407a0b34a04c0549f42da9ab3e7202d94a","observation_id":"0c45d65c-859e-4d86-bc67-15808d458759","resolution":{"observed_at":"2026-07-03T00:07:28.366917Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T17:28:29.969927Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:a28084ff6fddd04d9f92933492b9133374001fbe15c10575aa7540d0f50b44a3","observation_id":"094a6c31-69dd-4673-97a8-b76368526e2f","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:f7cef3642b6c2ddafb609cfe6427a77a1ab75c0f5b12bfaf7b9712dd45e87956","observation_id":"26d00cc0-cf45-4020-b1d6-25544a7c2b46","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"2024 IEEE International Conference on Robotics and Automation (ICRA) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:13221b137e4319874563e056bca6bd6b79cebee17c354f2fb206e4428e093b96","observation_id":"1d6b4de4-63d1-48fa-8a2c-89b23b1d7898","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:5c91763c2362ce50fe8a2d39feffff7613e97cdd6c581773742eecb78343399d","observation_id":"972463b3-395b-4a46-a26b-cee27ca1f25a","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:520c8ee9a9e3d471c96ab914dc5a37c0b592ff0a58434e575a854f2d95f33346","observation_id":"0096a3b6-bd73-486e-bf15-b52490fb26cd","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:718fde0a15684f48506b8a534ef5d1ac33c4aeb82110feb3b2076b33cb472ae4","observation_id":"e7b17f76-493e-4dda-86d8-b485141dca6c","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:1a9b4a3c419c494b49b0d7409bf44ce69a61d4e0cfb53cf40ed54a7c57eb1529","observation_id":"e81b508e-06e4-45cf-aafa-092b4bccb987","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Sensors , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:ef9efd55302b403889f3f4b76ba1f9d87c15e9bf03761c0bb00580782c7579cf","observation_id":"ffb8d40b-68b7-4e43-88a9-e9308197f4c4","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Sensors , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:cdb345276355351f81ad1b246416eb9cc61280114d9cfd34055f046a0c631838","observation_id":"83d9e80a-fe12-459b-baac-624d74322785","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"IEEE Robotics and Automation Letters , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:e36d5d72592babc60406a07a90c8e7b87a94b536e2d090e42ab3a269c4e4a151","observation_id":"9781bdc8-6927-4b82-a473-98b2c728f578","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:6a082b11eb18b7cd67b0cd2ca28d095b54f40ab9730114b4f8c282b06ce72801","observation_id":"b6763a5e-ac5c-4ba4-9e9a-57f0ff22144c","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the European conference on computer vision (ECCV) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:ef41b8e25d430e3b0b720ea29365bf98cf3e93cf611c23cf83b9f4441dd2de8a","observation_id":"faec886a-47eb-4c67-8c71-53e90a3d5f7a","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:8c844a341b07126c308bd4e3917c7f94fcb4e2a5f2f656140d54ecd1df3f8760","observation_id":"56c51453-bc92-4fcb-afb7-bd536b5bb0ad","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:1825c904d2095f7bfeeab9ebae65dbed49acceadb152b9b519655d028cfcaa74","observation_id":"3ff7f108-37e6-4989-9a9e-dd54288601d3","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-20T09:39:07.545813Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":"2311.15127","doi":"10.48550/arxiv.2311.15127","metadata_source":"pith","pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","venue":"cs.CV","work_id":"4f68eada-27e3-437a-a2fe-6e4ca524d0d3","year":2023},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:9d61fbbb4e87d1506dc74b8551bfb15a336ddfd26fb524ed7643547b922d1422","observation_id":"ffaae7c0-2e8f-4097-8238-eaddc3c1a476","resolution":{"observed_at":"2026-07-03T00:07:28.373037Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-11T15:53:24.472993+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:24.472993+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T17:28:29.969927Z","title":"International conference on machine learning , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:99a3db113eac20b6bc72a20730067cc16526ed2a47914990781bc0374d5cbf61","observation_id":"752d5f25-5fba-4d77-b782-b36d2f5fdd11","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:3436610caefb2536b06d47ca79dfb65b8c643bcfa4fc888ffe8b875c80d9d90b","observation_id":"33560993-8824-4626-91bb-ef33abe7050f","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:3073d8c792606fc43c84e2a29d945a056307e102bd4adebe93d6cf51725162a5","observation_id":"9bc9795b-d295-4cb6-8407-46e83f56bed5","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Neural networks , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:25f96fe8845fea130ea1f42461b77b0ca99e138133feb160090e5991044f9865","observation_id":"1f63d934-2b8b-4b36-8c16-ab4b9197abd9","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":"2210.02747","doi":"10.1038/s41467-024-47656-z","metadata_source":"pith","pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Matching for Generative Modeling","venue":"cs.LG","work_id":"6edb71c4-5d64-40af-a394-9757ea051a36","year":2022},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:7e1c96b391c81bb79d9f2acf6461590d298e3736d5c8686d8bbddb14fee0e569","observation_id":"a72f155a-2503-4e81-b429-f07c5af27d6a","resolution":{"observed_at":"2026-07-03T00:07:28.375372Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T17:28:29.969927Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:eeda2a4b7325fc0f371faf06f47acb6cbebe6cbe17e436984c0a2f8567529308","observation_id":"528f8541-0042-475f-bc9b-4b351b7f5f2f","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18 , pages=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:f5d08f3bd84a064f3ad77d8f2925cc04b19696baae828d3bf6c1f6e0428728ea","observation_id":"d936e852-7f79-4996-a166-5c9a4ca47c10","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","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":"2026-06-27T17:28:29.969927Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:2655bd294d4ec9fe7a196ddc684adc898758a3502f3d54afa1722aff53cc1699","observation_id":"3a40b5c2-9bc8-45cf-984f-9ba1c831ce1f","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","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":"2010.11929","doi":"10.1175/jcli-d-22-0357.1","metadata_source":"pith","pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":"cs.CV","work_id":"e96730e3-129b-4db6-b981-15ab7932e297","year":2020},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:353a81d6fe6fbed131ba8a0faa373fa3ad09768995b2591a445fe20b7a67e30b","observation_id":"d73c10ac-12df-442d-8800-f76fa3f298ff","resolution":{"observed_at":"2026-07-03T00:07:28.370235Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14159","last_updated":"2024-01-25T13:12:09Z","snapshot_observed_at":"2026-07-06T17:20:25.138890Z","submitted_at":"2024-01-25T13:12:09Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","version":1},"cited_work":{"arxiv_id":"2401.14159","doi":"10.48550/arxiv.2401.14159","metadata_source":"pith","pith_arxiv_id":"2401.14159","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","venue":"cs.CV","work_id":"42c46ece-c4e8-4d5e-abae-f8d5b4208995","year":2024},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"cited_paper":"/paper/2401.14159","citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:b4968b87bfbb8556de2b1368195b0afd215bc3d7341a27ab1a8758481d71626b","observation_id":"e0e45830-a8b4-4343-8df9-0ee0472edecf","resolution":{"observed_at":"2026-07-03T00:07:28.360943Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-27T17:28:29.969927Z","title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-27T17:28:29.969927Z"},"links":{"citing_paper":"/paper/2606.09243"},"observation_digest":"sha256:876eba614ad78cecb641e1ae3ce6c6e79cb38e2b1fa4618461990b3280140ca5","observation_id":"b6928abe-930a-4fa8-930e-efbeded1bcb1","resolution":{"observed_at":"2026-06-27T17:28:29.969927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.09243","last_updated":"2026-06-08T09:20:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T13:25:22.426877Z","submitted_at":"2026-06-08T09:20:03Z","title":"EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":1,"unresolved":30,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":37},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.09243."}